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Okay, folks, I can see we just
hit one minute after the hour.

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My name is Matt Thomas,
and thank you for tuning in

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to the USGS
Landslide Hazards Seminar.

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This meeting is hosted by
the Landslide Hazards Program,

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and co-organized
with contributions

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from Stephen Slaughter
and Jaime Kostelnik.

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For those of you
that are new to this meeting,

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you have the ability
to submit questions

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via the chat window or use
the Raise Your Hand feature

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in combination with your
microphone or video camera.

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We're gonna wait until the end
of today's presentation

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to take questions,

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so in the meantime
please just do your best

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to make sure
your microphone is muted

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and your video camera is off

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when you're not intending
to speak.

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Today we're joined
by Sebastian Uhlemann

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from Lawrence Berkeley
National Laboratory.

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Sebastian is currently
a freelancing scientist

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based in Potsdam, Germany,

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and a guest scientist at the
Lawrence Berkeley National Lab.

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He's also a visiting professor
at the Amrita Center

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for Wireless Networks
and Applications in India.

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In 2018, Sebastian
obtained a PhD degree

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in Applied Geophysics
from ETH Zürich in Switzerland,

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where he focused
(inaudible) monitoring

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of moisture-driven processes

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in natural
and engineered slopes.

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From 2012 to 2018,

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Sebastian worked at
the British Geological Survey

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as a research geophysicist

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and next to monitoring
landslides,

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also working on
the development

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of near-surface
geophysical techniques

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for resource
and groundwater assessment

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in England, Europe,
Southeast Asia, and Africa.

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In 2018, he joined
Lawrence Berkeley National Lab,

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first initially as a post-doc

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and then later
as a research scientist.

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And he's worked on
various projects

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related to the impacts
of climate change.

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Last year, he received

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an AGU Near-Surface Geophysics
Early Career Achievement Award

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for novel advances
in integrated monitoring

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and modeling of geophysical,
hydrological,

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and geomechanical processes
in the subsurface environment.

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And I also want
to congratulate Sebastian

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for choosing to join us
at 10:00 in the evening

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Germany time
for today's seminar.

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So, Sebastian,
I believe that makes you

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our first international speaker,
so thank you very much.

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(Sebastian laughs)

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Thanks a lot, Matt.

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And actually it's 11,
11:00 p.m., so,

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yeah, it's even a little later,
but that's good.

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So, yeah, thank you very much
for the introduction,

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and also for--just for inviting
me to give this seminar today.

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So, today what I would like
to do is,

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I would like to give you
a little overview

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of the work
that we've been doing

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in the last couple of years
or so here at Berkeley Lab

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with regards to characterization
and monitoring of landslides

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using geophysics,
remote sensing,

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and wireless sensor networks.

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And I also want to show you
a little bit how we--

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how we may use that
for landslide early warning.

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And this is basically a project
that, of course, you know,

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has a few people
that work on it.

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So it's mostly myself,
but also Sylvain Fiolleau,

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who is the post-doc
working on that;

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Stijn Wielandt,
who's an electric engineer

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who did most of the development
of the sensor network

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we're going to show;

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and Baptiste Dafflon,

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who is also a chief physicist
who is working with me on that.

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So, (inaudible).

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Yeah, Lawrence Berkeley
National Lab

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is a part
of Energy Research Lab,

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and so the work
that we're doing

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is not necessarily
hazard related.

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So this project
really frames this work

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as actually, you know,
not focused on landslides,

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but is more generally focused
on stability of earthworks

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that either form or protect
critical infrastructure.

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So it's all about
critical infrastructure.

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That's the way how we formed--
how we developed this project.

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And critical infrastructure
itself are the assets, networks,

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and systems that provide
the essential services

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that underpin society.

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And these are, you know,

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the things that are vital
to our safety,

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prosperity, and well-being.

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But now a lot of infrastructures
actually are in poor condition,

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and you can see this
when you drive around,

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for instance, at the Bay Area,

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you can see bridges
that are pretty (inaudible),

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you know, poorly maintained.

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You can see some underpasses
that are falling apart.

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So, really what we need to do

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is we need to maintain
and manage this infrastructure,

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but this comes at a cost.

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And here are just some numbers
that, for instance,

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by 2040, in the U.S.,

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we will have to spend
$12.4 trillion,

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and worldwide
this will be like $4 trillion,

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so really a lot of money.

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And now in the future,
this infrastructure

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is increasingly making use
of connected technology

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to really integrate
energy systems,

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buildings, and industry,

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and basically to adapt and
evolve

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with the way we work and live

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and what we do
with this infrastructure.

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And this is also becoming
increasingly important

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for earthen infrastructure,
like, for instance,

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levees or, you know,
embankments,

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and also just the slopes
that surround infrastructure.

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Where we see more and more

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that we have
wireless sensor networks,

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we have digital twins
and other integrated systems

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and networks that are
increasingly being used

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for landslide mitigation

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but also for
landslide early warnings.

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So I'm going to show you
a little bit of this today,

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or I'm hoping to show you
a little bit of this today.

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So in this project,

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we are trying to develop
a novel approach

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to provide a robust
and reliable early warning

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of slope failure by combining
various sensor technologies,

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which range from, you know,

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low-cost geophysical monitoring
but also environmental sensing,

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and combine this
with hydrological

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and geomechanical modeling

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to basically try and provide
effective safety of slopes

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in real time.

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But also by using these models
and feeding them with,

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for instance, weather forecasts
or, you know,

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machine learning-based
prediction techniques,

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we also want to be able
to forecast

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what the effect of safety
is doing in the future.

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And this work
really builds on

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recent advances
in various fields,

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particularly in
sensing technologies,

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where, in recent years,

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geophysical monitoring
has seen

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a number of developments
that enable us

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to perform long-term monitoring
of landslides

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to provide
actionable information

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like volumetric 3D changes
on moisture content

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that we can record
before, during, and after

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landslide movements.

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And before I go to the work
that we've done at Berkeley Lab,

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I would like to focus
a little bit

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on these developments
that are specifically

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on low-cost
geophysical monitoring,

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because also,
as Matt already said,

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my background is geophysics,

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so I know this pretty well

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and I thought
I'd take this opportunity

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to also show you
a little bit about that.

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Hey, Sebastian,
before you make the transition

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to your next slide,

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I just recommend
turning your video camera off.

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I will try and do that.

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Better?

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Yup, keep going.

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Sounds good.

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Cool, yeah.

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So, yeah, this is work
that I've done before,

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actually, (inaudible)

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when I was at
the British Geological Survey.

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And there I was working
in a group

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that was developing
geoelectric monitoring,

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and my task there
was basically to develop

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sound techniques that enable

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long-term geoelectrical
monitoring of landslides.

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And these developments
have been done

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at the Hollin Hill
Landslide Observatory.

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This is a landslide observatory

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that's located in
North Yorkshire in England,

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and it's sitting on a slope
that sits within rocks

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of the Lias group
of the Lower Jurassic,

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where we have
Whitby Mudstone

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failing over
slate sandstone formations.

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So, Whitby Mudstone is
a very weak, very clay material

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that fails, then, over this
kind of sandstone material

00:07:36.089 --> 00:07:39.292 align:center line:-1 position:50% size:41%
that's also not really
a nice, competent sandstone,

00:07:39.292 --> 00:07:43.963 align:center line:-1 position:50% size:33%
but is more like a weak,
silty, sandy material.

00:07:43.963 --> 00:07:47.300 align:center line:-1 position:50% size:40%
But still we get, yeah,
these failures in these areas.

00:07:47.300 --> 00:07:48.735 align:center line:-1 position:50% size:35%
And actually, geologically,

00:07:48.735 --> 00:07:50.937 align:center line:-1 position:50% size:26%
this is pretty typical
in England.

00:07:50.937 --> 00:07:52.672 align:center line:-1 position:50% size:27%
So in a lot of places

00:07:52.672 --> 00:07:54.407 align:center line:-1 position:50% size:33%
where Whitby Mudstone
is outcropping,

00:07:54.407 --> 00:07:55.942 align:center line:-1 position:50% size:28%
that's where you get
a lot of landslides.

00:07:55.942 --> 00:07:58.745 align:center line:-1 position:50% size:40%
In this map here, we can see
the Whitby Mudstone here

00:07:58.745 --> 00:08:00.647 align:center line:-1 position:50% size:41%
failing, basically, over
the slate sandstone formation

00:08:00.647 --> 00:08:02.982 align:center line:-1 position:50% size:31%
in this kind of
somewhat lighter gray.

00:08:02.982 --> 00:08:05.719 align:center line:-1 position:50% size:27%
The landslide itself
is reasonably small

00:08:05.719 --> 00:08:08.855 align:center line:-1 position:50% size:34%
and has a slope gradient
of only 12 degrees,

00:08:08.855 --> 00:08:11.991 align:center line:-1 position:50% size:35%
which already shows you
how weak this material is.

00:08:11.991 --> 00:08:14.928 align:center line:-1 position:50% size:37%
(inaudible) also shows you
how unstable the slope is.

00:08:14.928 --> 00:08:16.763 align:center line:-1 position:50% size:42%
So it's a slow-moving landslide

00:08:16.763 --> 00:08:19.432 align:center line:-1 position:50% size:23%
with movements
that are usually

00:08:19.432 --> 00:08:21.134 align:center line:-1 position:50% size:24%
less than a meter
per year or so,

00:08:21.134 --> 00:08:22.635 align:center line:-1 position:50% size:43%
where translational movements

00:08:22.635 --> 00:08:25.004 align:center line:-1 position:50% size:26%
that are happening
in this area here

00:08:25.004 --> 00:08:26.873 align:center line:-1 position:50% size:25%
are forming
these earth lobes,

00:08:26.873 --> 00:08:28.942 align:center line:-1 position:50% size:42%
and these translational
movements that we have here

00:08:28.942 --> 00:08:30.844 align:center line:-1 position:50% size:33%
actually are taking away
the support

00:08:30.844 --> 00:08:33.012 align:center line:-1 position:50% size:36%
of some secondary slopes
on the back.

00:08:33.012 --> 00:08:35.482 align:center line:-1 position:50% size:33%
Right then you can see
some rotational failures.

00:08:35.482 --> 00:08:37.384 align:center line:-1 position:50% size:35%
So this shows you
that this landslide system

00:08:37.384 --> 00:08:38.251 align:center line:-1 position:50% size:23%
is quite complex,

00:08:38.251 --> 00:08:40.754 align:center line:-1 position:50% size:33%
where you have
translational movement,

00:08:40.754 --> 00:08:41.955 align:center line:-1 position:50% size:38%
you have rotational failures,

00:08:41.955 --> 00:08:44.758 align:center line:-1 position:50% size:31%
and you have
the formation of lobes.

00:08:44.758 --> 00:08:45.925 align:center line:-1 position:50% size:23%
Now, at this site,

00:08:45.925 --> 00:08:48.395 align:center line:-1 position:50% size:28%
we used it as kind of
a development site,

00:08:48.395 --> 00:08:51.030 align:center line:-1 position:50% size:26%
we have a lot
of instrumentation.

00:08:51.030 --> 00:08:53.633 align:center line:-1 position:50% size:33%
There are GPS markers
that we use

00:08:53.633 --> 00:08:57.837 align:center line:-1 position:50% size:35%
to monitor the formation
every month or two or so.

00:08:57.837 --> 00:09:00.073 align:center line:-1 position:50% size:38%
We have turf meters
that measure the formation.

00:09:00.073 --> 00:09:03.877 align:center line:-1 position:50% size:42%
But we have also piezometers,
some moisture sensors,

00:09:03.877 --> 00:09:06.246 align:center line:-1 position:50% size:36%
and these type of sensors
that are measuring,

00:09:06.246 --> 00:09:08.148 align:center line:-1 position:50% size:32%
basically, the hydrology
of the system.

00:09:08.148 --> 00:09:10.884 align:center line:-1 position:50% size:28%
And then we have,
outlined in red here,

00:09:10.884 --> 00:09:13.052 align:center line:-1 position:50% size:30%
an electrical resistivity
tomography system

00:09:13.052 --> 00:09:16.089 align:center line:-1 position:50% size:37%
that was measuring
the resistivity of the ground

00:09:16.089 --> 00:09:17.357 align:center line:-1 position:50% size:22%
every other day.

00:09:17.357 --> 00:09:19.926 align:center line:-1 position:50% size:30%
And this is something
that we can then use

00:09:19.926 --> 00:09:22.228 align:center line:-1 position:50% size:38%
to actually track
moisture movements in 3D,

00:09:22.228 --> 00:09:24.731 align:center line:-1 position:50% size:26%
and I will show this
in a second.

00:09:24.731 --> 00:09:28.501 align:center line:-1 position:50% size:30%
But before that,
I thought I'd show you

00:09:28.501 --> 00:09:30.703 align:center line:-1 position:50% size:28%
how we characterize
the landslide

00:09:30.703 --> 00:09:32.238 align:center line:-1 position:50% size:32%
using a different
geophysical technique.

00:09:32.238 --> 00:09:36.342 align:center line:-1 position:50% size:45%
In this case, P- and S-wave
seismic refraction measurements

00:09:36.342 --> 00:09:39.412 align:center line:-1 position:50% size:39%
that provide us with
the P- and S-wave velocities

00:09:39.412 --> 00:09:41.014 align:center line:-1 position:50% size:25%
or P- and S-wave
velocity variations

00:09:41.014 --> 00:09:42.348 align:center line:-1 position:50% size:25%
in the subsurface.

00:09:42.348 --> 00:09:46.419 align:center line:-1 position:50% size:37%
Now, for those of you
who are not geophysicists,

00:09:46.419 --> 00:09:47.887 align:center line:-1 position:50% size:29%
the way you do
these kind of surveys

00:09:47.887 --> 00:09:51.491 align:center line:-1 position:50% size:28%
is you take basically
a sledgehammer

00:09:51.491 --> 00:09:54.961 align:center line:-1 position:50% size:39%
and you hit a metal plate,
or in this case a metal prism,

00:09:54.961 --> 00:09:56.663 align:center line:-1 position:50% size:39%
and by doing so
you're exciting some waves,

00:09:56.663 --> 00:09:58.164 align:center line:-1 position:50% size:27%
so they're traveling
through the ground.

00:09:58.164 --> 00:09:59.666 align:center line:-1 position:50% size:25%
And every time
you get a contrast

00:09:59.666 --> 00:10:03.069 align:center line:-1 position:50% size:28%
is seismic velocities,
at the right angles,

00:10:03.069 --> 00:10:04.671 align:center line:-1 position:50% size:34%
you get a refracted wave

00:10:04.671 --> 00:10:06.706 align:center line:-1 position:50% size:33%
that's basically traveling
along this interface,

00:10:06.706 --> 00:10:08.241 align:center line:-1 position:50% size:26%
and while traveling
along this interface

00:10:08.241 --> 00:10:10.510 align:center line:-1 position:50% size:25%
it's kind of exciting
additional waves

00:10:10.510 --> 00:10:13.046 align:center line:-1 position:50% size:31%
that you then measure
using geophones.

00:10:13.046 --> 00:10:15.515 align:center line:-1 position:50% size:41%
In this case, these geophones
are shown here.

00:10:15.515 --> 00:10:17.484 align:center line:-1 position:50% size:40%
And we use
three component geophones

00:10:17.484 --> 00:10:21.221 align:center line:-1 position:50% size:40%
because that enables us to
not only look at the P-waves,

00:10:21.221 --> 00:10:23.022 align:center line:-1 position:50% size:37%
or the pressure wave that's
going through the ground,

00:10:23.022 --> 00:10:24.891 align:center line:-1 position:50% size:34%
but also the shear wave.

00:10:24.891 --> 00:10:26.826 align:center line:-1 position:50% size:29%
And having both
is actually pretty nice

00:10:26.826 --> 00:10:29.863 align:center line:-1 position:50% size:37%
because the P-wave
is sensitive to, for instance,

00:10:29.863 --> 00:10:33.500 align:center line:-1 position:50% size:34%
variations in fluid content
in the ground,

00:10:33.500 --> 00:10:34.934 align:center line:-1 position:50% size:34%
which the S-wave is not.

00:10:34.934 --> 00:10:36.703 align:center line:-1 position:50% size:30%
So by having the two,

00:10:36.703 --> 00:10:40.006 align:center line:-1 position:50% size:26%
you can also make
some assessment

00:10:40.006 --> 00:10:43.443 align:center line:-1 position:50% size:46%
of where or where you don't have
any moisture in the ground.

00:10:43.443 --> 00:10:44.577 align:center line:-1 position:50% size:42%
And we're doing these surveys

00:10:44.577 --> 00:10:46.513 align:center line:-1 position:50% size:30%
to try and get
a good understanding

00:10:46.513 --> 00:10:49.282 align:center line:-1 position:50% size:42%
on where the interface
between the Whitby Mudstone

00:10:49.282 --> 00:10:51.351 align:center line:-1 position:50% size:33%
and the slate sandstone
formation is.

00:10:51.351 --> 00:10:54.287 align:center line:-1 position:50% size:40%
Now if you look at the results
that are shown here,

00:10:54.287 --> 00:10:56.523 align:center line:-1 position:50% size:35%
you can actually see that,
you know,

00:10:56.523 --> 00:10:58.024 align:center line:-1 position:50% size:37%
we don't see this interface.

00:10:58.024 --> 00:11:00.627 align:center line:-1 position:50% size:43%
We were expecting an interface
to be somewhere around here,

00:11:00.627 --> 00:11:03.696 align:center line:-1 position:50% size:42%
but as you see, there's nothing
that you see in these images

00:11:03.696 --> 00:11:06.733 align:center line:-1 position:50% size:35%
that indicate any interface
of two geological units.

00:11:06.733 --> 00:11:11.404 align:center line:-1 position:50% size:45%
What we do see, though,
is some high-velocity anomalies,

00:11:11.404 --> 00:11:13.106 align:center line:-1 position:50% size:29%
especially down here
and up there,

00:11:13.106 --> 00:11:14.741 align:center line:-1 position:50% size:41%
which we align to the regional
table

00:11:14.741 --> 00:11:16.075 align:center line:-1 position:50% size:31%
that you can see here,

00:11:16.075 --> 00:11:18.711 align:center line:-1 position:50% size:38%
and the perched drum table
that you can see up here.

00:11:18.711 --> 00:11:20.380 align:center line:-1 position:50% size:30%
Now, if you look at
the S-wave velocities,

00:11:20.380 --> 00:11:21.648 align:center line:-1 position:50% size:28%
really, the only thing
you can see

00:11:21.648 --> 00:11:23.650 align:center line:-1 position:50% size:43%
is kind of a weathering horizon,

00:11:23.650 --> 00:11:25.852 align:center line:-1 position:50% size:34%
so the deeper you go
the higher the velocities,

00:11:25.852 --> 00:11:28.588 align:center line:-1 position:50% size:40%
so the shallower material
is just much more weathered

00:11:28.588 --> 00:11:31.291 align:center line:-1 position:50% size:32%
than the other material.

00:11:31.291 --> 00:11:32.358 align:center line:-1 position:50% size:37%
But as I said, we had both,

00:11:32.358 --> 00:11:34.727 align:center line:-1 position:50% size:45%
we had P- and S-wave velocities
in this case,

00:11:34.727 --> 00:11:35.628 align:center line:-1 position:50% size:40%
and what we can do with that

00:11:35.628 --> 00:11:38.464 align:center line:-1 position:50% size:30%
is we can calculate
a ratio between them.

00:11:38.464 --> 00:11:40.533 align:center line:-1 position:50% size:35%
In this case, we calculate
the Poisson's ratio

00:11:40.533 --> 00:11:43.269 align:center line:-1 position:50% size:26%
because that's
an elastic property

00:11:43.269 --> 00:11:45.204 align:center line:-1 position:50% size:32%
that's very well defined.

00:11:45.204 --> 00:11:46.739 align:center line:-1 position:50% size:36%
And to keep it very simple,

00:11:46.739 --> 00:11:48.474 align:center line:-1 position:50% size:40%
if the Poisson's ratio is small,

00:11:48.474 --> 00:11:49.909 align:center line:-1 position:50% size:33%
so in this case if it's red,

00:11:49.909 --> 00:11:52.245 align:center line:-1 position:50% size:30%
and this means
that the ground is dry.

00:11:52.245 --> 00:11:53.813 align:center line:-1 position:50% size:34%
And if the Poisson's ratio
is high,

00:11:53.813 --> 00:11:55.381 align:center line:-1 position:50% size:25%
so if it goes to 0.5,

00:11:55.381 --> 00:11:58.484 align:center line:-1 position:50% size:37%
that means that the ground
is fully saturated.

00:11:58.484 --> 00:12:00.720 align:center line:-1 position:50% size:38%
And now suddenly we could
really see this interface

00:12:00.720 --> 00:12:01.955 align:center line:-1 position:50% size:43%
between the Whitby Mudstone,

00:12:01.955 --> 00:12:03.656 align:center line:-1 position:50% size:37%
which is
the saturated blue material

00:12:03.656 --> 00:12:04.891 align:center line:-1 position:50% size:30%
that we can see here,

00:12:04.891 --> 00:12:08.494 align:center line:-1 position:50% size:46%
and then underneath that we saw
this kind of dry material,

00:12:08.494 --> 00:12:10.296 align:center line:-1 position:50% size:42%
which is
the slate sandstone formation,

00:12:10.296 --> 00:12:12.165 align:center line:-1 position:50% size:37%
which is the formation
that is much better drained

00:12:12.165 --> 00:12:14.267 align:center line:-1 position:50% size:39%
and has much less moisture,

00:12:14.267 --> 00:12:16.102 align:center line:-1 position:50% size:34%
especially in the top part
of it.

00:12:16.102 --> 00:12:17.804 align:center line:-1 position:50% size:37%
And if we look at this in 3D,

00:12:17.804 --> 00:12:19.906 align:center line:-1 position:50% size:35%
we can see that we could
really nicely track

00:12:19.906 --> 00:12:22.442 align:center line:-1 position:50% size:38%
this interface across space,

00:12:22.442 --> 00:12:24.944 align:center line:-1 position:50% size:31%
and we could basically
have a good idea

00:12:24.944 --> 00:12:27.280 align:center line:-1 position:50% size:28%
on what the lithology
at the site looks like.

00:12:28.648 --> 00:12:29.716 align:center line:-1 position:50% size:30%
And then what we did

00:12:29.716 --> 00:12:32.785 align:center line:-1 position:50% size:31%
is we also did
resistivity tomography.

00:12:32.785 --> 00:12:34.420 align:center line:-1 position:50% size:32%
And the reason for that

00:12:34.420 --> 00:12:36.522 align:center line:-1 position:50% size:27%
is that the resistivity
of the ground

00:12:36.522 --> 00:12:38.024 align:center line:-1 position:50% size:28%
is actually
a very nice indicator

00:12:38.024 --> 00:12:42.729 align:center line:-1 position:50% size:36%
of first the lithology
but also the water content

00:12:42.729 --> 00:12:45.431 align:center line:-1 position:50% size:31%
and how water content
may change over time,

00:12:45.431 --> 00:12:47.533 align:center line:-1 position:50% size:35%
and also the temperature
of the ground.

00:12:47.533 --> 00:12:49.636 align:center line:-1 position:50% size:44%
So, especially the water content
is something

00:12:49.636 --> 00:12:51.871 align:center line:-1 position:50% size:34%
that for landslide studies
is super interesting

00:12:51.871 --> 00:12:53.506 align:center line:-1 position:50% size:34%
because if you can track
how water is moving

00:12:53.506 --> 00:12:55.608 align:center line:-1 position:50% size:40%
in 3D through your landslide,

00:12:55.608 --> 00:12:57.477 align:center line:-1 position:50% size:27%
that tells you a lot
on what's going on.

00:12:57.477 --> 00:12:58.578 align:center line:-1 position:50% size:29%
And the way we do
these measurements

00:12:58.578 --> 00:13:01.514 align:center line:-1 position:50% size:43%
is we basically have electrodes
in the ground,

00:13:01.514 --> 00:13:03.650 align:center line:-1 position:50% size:29%
and we--in this case,

00:13:03.650 --> 00:13:08.287 align:center line:-1 position:50% size:36%
we have 196 electrodes
distributed across the site,

00:13:08.287 --> 00:13:11.958 align:center line:-1 position:50% size:45%
and then we do measurements
between four of them every time,

00:13:11.958 --> 00:13:14.494 align:center line:-1 position:50% size:26%
we just swap them
so that we can try

00:13:14.494 --> 00:13:17.196 align:center line:-1 position:50% size:32%
and sample the ground
as densely as possible,

00:13:17.196 --> 00:13:20.600 align:center line:-1 position:50% size:33%
as kind of was indicated
in this schematic here

00:13:20.600 --> 00:13:23.102 align:center line:-1 position:50% size:41%
where depending on how you
choose these four electrodes,

00:13:23.102 --> 00:13:25.571 align:center line:-1 position:50% size:32%
you sample the ground
at different locations.

00:13:25.571 --> 00:13:28.875 align:center line:-1 position:50% size:26%
And then you need
to do an inversion

00:13:28.875 --> 00:13:32.078 align:center line:-1 position:50% size:34%
to basically recover what
the resistivity distribution

00:13:32.078 --> 00:13:33.946 align:center line:-1 position:50% size:22%
in 3D looks like.

00:13:33.946 --> 00:13:35.515 align:center line:-1 position:50% size:20%
Now, as I said,

00:13:35.515 --> 00:13:37.583 align:center line:-1 position:50% size:34%
the resistivity
depends on the lithology,

00:13:37.583 --> 00:13:39.118 align:center line:-1 position:50% size:28%
and we can see this
very nicely here

00:13:39.118 --> 00:13:41.254 align:center line:-1 position:50% size:41%
where we can see very nicely

00:13:41.254 --> 00:13:42.855 align:center line:-1 position:50% size:44%
where we have
the Whitby Mudstone formation,

00:13:42.855 --> 00:13:44.590 align:center line:-1 position:50% size:42%
because that's where we have,
basically,

00:13:44.590 --> 00:13:45.725 align:center line:-1 position:50% size:30%
these low resistivities,

00:13:45.725 --> 00:13:47.493 align:center line:-1 position:50% size:43%
and that's mainly because
the Whitby Mudstone formation

00:13:47.493 --> 00:13:49.262 align:center line:-1 position:50% size:37%
is very high in clay content,

00:13:49.262 --> 00:13:51.297 align:center line:-1 position:50% size:25%
has a lot of clay,
has a lot of water,

00:13:51.297 --> 00:13:52.999 align:center line:-1 position:50% size:28%
and so the resistivity
is very low.

00:13:52.999 --> 00:13:55.001 align:center line:-1 position:50% size:42%
And underneath that, we have
the slate sandstone formation,

00:13:55.001 --> 00:13:56.469 align:center line:-1 position:50% size:27%
which has less clay,
less water,

00:13:56.469 --> 00:13:59.639 align:center line:-1 position:50% size:37%
and has a higher resistivity.

00:13:59.639 --> 00:14:02.208 align:center line:-1 position:50% size:43%
Now the nice thing about
these resistivity measurements

00:14:02.208 --> 00:14:04.410 align:center line:-1 position:50% size:35%
are that if we repeat them
over time,

00:14:04.410 --> 00:14:07.480 align:center line:-1 position:50% size:42%
we can assume that the
lithology's not going to change

00:14:07.480 --> 00:14:09.482 align:center line:-1 position:50% size:30%
but that the only thing
that's going to change

00:14:09.482 --> 00:14:11.918 align:center line:-1 position:50% size:29%
is the water content
and the temperature.

00:14:11.918 --> 00:14:14.253 align:center line:-1 position:50% size:45%
Now the temperature we actually
measured at the site,

00:14:14.253 --> 00:14:17.690 align:center line:-1 position:50% size:38%
and so we know
how the temperature varies

00:14:17.690 --> 00:14:19.892 align:center line:-1 position:50% size:19%
across space,

00:14:19.892 --> 00:14:21.360 align:center line:-1 position:50% size:37%
well, how it varies laterally,

00:14:21.360 --> 00:14:23.663 align:center line:-1 position:50% size:29%
but also how it varies
with depth.

00:14:23.663 --> 00:14:25.264 align:center line:-1 position:50% size:36%
So we can correct for that.

00:14:25.264 --> 00:14:26.432 align:center line:-1 position:50% size:28%
Now, the other thing
that we can do

00:14:26.432 --> 00:14:29.168 align:center line:-1 position:50% size:32%
is we can take samples
from the site

00:14:29.168 --> 00:14:31.804 align:center line:-1 position:50% size:42%
and analyze them with regards
to their moisture content.

00:14:31.804 --> 00:14:33.873 align:center line:-1 position:50% size:44%
So we did this, we took samples
from the Whitby Mudstone,

00:14:33.873 --> 00:14:35.007 align:center line:-1 position:50% size:42%
the slate sandstone formation.

00:14:35.007 --> 00:14:36.642 align:center line:-1 position:50% size:28%
We took them to lab
and measured

00:14:36.642 --> 00:14:39.912 align:center line:-1 position:50% size:41%
how the resistivity is changing
at different moisture contents.

00:14:39.912 --> 00:14:42.982 align:center line:-1 position:50% size:38%
And having this basically
allows us to create a model

00:14:42.982 --> 00:14:45.084 align:center line:-1 position:50% size:34%
that we can then use
to translate the resistivity

00:14:45.084 --> 00:14:48.988 align:center line:-1 position:50% size:32%
that we measure
into a moisture content.

00:14:48.988 --> 00:14:50.490 align:center line:-1 position:50% size:42%
And now we can see this here,

00:14:50.490 --> 00:14:52.391 align:center line:-1 position:50% size:44%
and we can see again that we
have very high moisture content

00:14:52.391 --> 00:14:53.926 align:center line:-1 position:50% size:33%
in the Whitby Mudstone
formation,

00:14:53.926 --> 00:14:55.194 align:center line:-1 position:50% size:41%
we have low moisture content

00:14:55.194 --> 00:14:56.796 align:center line:-1 position:50% size:29%
in the slate
sandstone formation.

00:14:56.796 --> 00:14:59.365 align:center line:-1 position:50% size:28%
But we can also see
a lot of detail where,

00:14:59.365 --> 00:15:01.934 align:center line:-1 position:50% size:34%
for instance,
here we can see an area

00:15:01.934 --> 00:15:05.171 align:center line:-1 position:50% size:26%
of slightly elevated
moisture content,

00:15:05.171 --> 00:15:06.139 align:center line:-1 position:50% size:35%
which is basically an area

00:15:06.139 --> 00:15:07.440 align:center line:-1 position:50% size:27%
where every time
we went to the field

00:15:07.440 --> 00:15:09.509 align:center line:-1 position:50% size:39%
we can see--or we could see
some water coming out

00:15:09.509 --> 00:15:12.945 align:center line:-1 position:50% size:37%
of just the head of the lobe,

00:15:12.945 --> 00:15:16.749 align:center line:-1 position:50% size:39%
and so we saw a little spring
that was there.

00:15:16.749 --> 00:15:19.752 align:center line:-1 position:50% size:37%
So in this video
that I'm going to show now,

00:15:19.752 --> 00:15:22.088 align:center line:-1 position:50% size:37%
I'm basically going to show
a time series

00:15:22.088 --> 00:15:24.423 align:center line:-1 position:50% size:39%
across the monitoring period

00:15:24.423 --> 00:15:26.526 align:center line:-1 position:50% size:31%
that I analyzed
a couple of years ago.

00:15:26.526 --> 00:15:27.593 align:center line:-1 position:50% size:31%
So first we see, again,

00:15:27.593 --> 00:15:29.896 align:center line:-1 position:50% size:36%
how the Whitby Mudstone
formation

00:15:29.896 --> 00:15:32.632 align:center line:-1 position:50% size:28%
in through here
is kind of riding over

00:15:32.632 --> 00:15:34.033 align:center line:-1 position:50% size:41%
the slate sandstone formation
in red.

00:15:34.033 --> 00:15:35.902 align:center line:-1 position:50% size:36%
We can see how the lobes
are forming.

00:15:35.902 --> 00:15:37.503 align:center line:-1 position:50% size:34%
And now in the following,

00:15:37.503 --> 00:15:39.005 align:center line:-1 position:50% size:32%
what I'm going to show
is just the changes

00:15:39.005 --> 00:15:40.673 align:center line:-1 position:50% size:26%
in moisture content
that we calculated,

00:15:40.673 --> 00:15:42.208 align:center line:-1 position:50% size:32%
just to give you an idea

00:15:42.208 --> 00:15:46.179 align:center line:-1 position:50% size:38%
of how we can track
moisture movements in 3D.

00:15:46.179 --> 00:15:47.313 align:center line:-1 position:50% size:30%
And basically we start
in winter,

00:15:47.313 --> 00:15:49.549 align:center line:-1 position:50% size:38%
where we could see
high moisture content here.

00:15:49.549 --> 00:15:51.684 align:center line:-1 position:50% size:30%
We go then further
into a summer month,

00:15:51.684 --> 00:15:56.422 align:center line:-1 position:50% size:41%
where we can now see how
the water is basically draining

00:15:56.422 --> 00:15:59.158 align:center line:-1 position:50% size:23%
in this lower part
of the slope.

00:15:59.158 --> 00:16:00.993 align:center line:-1 position:50% size:43%
And basically this water
that is draining here in summer

00:16:00.993 --> 00:16:03.029 align:center line:-1 position:50% size:40%
is what accumulates in winter
up here.

00:16:03.029 --> 00:16:05.498 align:center line:-1 position:50% size:37%
And we can see again now
in summer,

00:16:05.498 --> 00:16:07.967 align:center line:-1 position:50% size:29%
these patterns
that will appear here.

00:16:07.967 --> 00:16:11.504 align:center line:-1 position:50% size:40%
So that's something
that is happening every year.

00:16:11.504 --> 00:16:14.006 align:center line:-1 position:50% size:31%
So now we are getting
into the year of 2012,

00:16:14.006 --> 00:16:17.877 align:center line:-1 position:50% size:35%
which is when this slope
reactivated this landslide.

00:16:17.877 --> 00:16:19.245 align:center line:-1 position:50% size:27%
And this was a year
where we had

00:16:19.245 --> 00:16:20.613 align:center line:-1 position:50% size:31%
an exceptional amount
of rainfall.

00:16:20.613 --> 00:16:22.248 align:center line:-1 position:50% size:32%
So already the summer
is now much wetter

00:16:22.248 --> 00:16:23.749 align:center line:-1 position:50% size:29%
than the year before,

00:16:23.749 --> 00:16:24.817 align:center line:-1 position:50% size:39%
but now if you look at winter,

00:16:24.817 --> 00:16:26.385 align:center line:-1 position:50% size:32%
it was really, really wet.

00:16:26.385 --> 00:16:28.754 align:center line:-1 position:50% size:42%
And that's where we had some
rotational failures in the back,

00:16:28.754 --> 00:16:32.258 align:center line:-1 position:50% size:37%
but we also had a massive
translational movement

00:16:32.258 --> 00:16:35.895 align:center line:-1 position:50% size:25%
of these lobes
that formed there.

00:16:35.895 --> 00:16:37.563 align:center line:-1 position:50% size:24%
So, unfortunately,
I went back,

00:16:37.563 --> 00:16:41.534 align:center line:-1 position:50% size:33%
but here I have
just a few of those plots

00:16:41.534 --> 00:16:43.302 align:center line:-1 position:50% size:25%
to show you again
the drainage.

00:16:43.302 --> 00:16:45.805 align:center line:-1 position:50% size:37%
So we have this water that
accumulates in winter here

00:16:45.805 --> 00:16:46.806 align:center line:-1 position:50% size:28%
and then drains
in the summer here,

00:16:46.806 --> 00:16:49.041 align:center line:-1 position:50% size:38%
so that's something
that we can see every year.

00:16:49.041 --> 00:16:50.409 align:center line:-1 position:50% size:42%
But what was more interesting

00:16:50.409 --> 00:16:52.778 align:center line:-1 position:50% size:36%
was actually what we saw
during December 2012

00:16:52.778 --> 00:16:54.313 align:center line:-1 position:50% size:42%
when we had this reactivation.

00:16:54.313 --> 00:16:56.649 align:center line:-1 position:50% size:32%
Because what we were
expecting to see

00:16:56.649 --> 00:16:59.452 align:center line:-1 position:50% size:31%
was a lot of movement
on this side,

00:16:59.452 --> 00:17:00.653 align:center line:-1 position:50% size:27%
so one of the lobes,

00:17:00.653 --> 00:17:04.590 align:center line:-1 position:50% size:38%
because when the landslide
failed before in 2009,

00:17:04.590 --> 00:17:07.927 align:center line:-1 position:50% size:32%
that's where we saw
most of the movement.

00:17:07.927 --> 00:17:11.731 align:center line:-1 position:50% size:37%
Now in 2012, actually,
this lobe didn't move at all.

00:17:11.731 --> 00:17:13.999 align:center line:-1 position:50% size:28%
It basically remained
completely stable.

00:17:13.999 --> 00:17:16.535 align:center line:-1 position:50% size:27%
And what we found
is that we had

00:17:16.535 --> 00:17:20.640 align:center line:-1 position:50% size:32%
this interesting pattern
of moisture movement,

00:17:20.640 --> 00:17:22.842 align:center line:-1 position:50% size:41%
which indicates to us that
we had some preferential flow

00:17:22.842 --> 00:17:28.114 align:center line:-1 position:50% size:46%
where we had some relatively big
fractures in the surface

00:17:28.114 --> 00:17:31.083 align:center line:-1 position:50% size:42%
that allowed water to infiltrate
relatively deep into the ground,

00:17:31.083 --> 00:17:33.085 align:center line:-1 position:50% size:29%
and then underneath
this lobe here

00:17:33.085 --> 00:17:34.487 align:center line:-1 position:50% size:40%
you have some aeolian sand,

00:17:34.487 --> 00:17:38.090 align:center line:-1 position:50% size:36%
so there were really nice
preferential flow pathways

00:17:38.090 --> 00:17:40.026 align:center line:-1 position:50% size:25%
and basically took
the water away

00:17:40.026 --> 00:17:41.727 align:center line:-1 position:50% size:29%
from the slip surface,

00:17:41.727 --> 00:17:43.229 align:center line:-1 position:50% size:38%
produced the pore pressure
of the slip surface,

00:17:43.229 --> 00:17:45.031 align:center line:-1 position:50% size:30%
and actually stabilized
the slope.

00:17:45.031 --> 00:17:46.165 align:center line:-1 position:50% size:28%
So this is something
we didn't have

00:17:46.165 --> 00:17:47.833 align:center line:-1 position:50% size:28%
on the other side,
on the eastern lobe,

00:17:47.833 --> 00:17:52.004 align:center line:-1 position:50% size:44%
where we see this accumulation
of moisture on the top here.

00:17:52.004 --> 00:17:54.540 align:center line:-1 position:50% size:45%
And this is basically a site
where we got about three meters

00:17:54.540 --> 00:17:58.778 align:center line:-1 position:50% size:39%
of movement
in just less than two months.

00:17:58.778 --> 00:18:00.112 align:center line:-1 position:50% size:35%
So there was a lot
of movement on this side,

00:18:00.112 --> 00:18:03.015 align:center line:-1 position:50% size:44%
which was basically triggered by
this additional load of moisture

00:18:03.015 --> 00:18:06.152 align:center line:-1 position:50% size:38%
that we managed
or that we imaged up there.

00:18:06.152 --> 00:18:08.421 align:center line:-1 position:50% size:31%
So this just shows you
that geophysics

00:18:08.421 --> 00:18:09.855 align:center line:-1 position:50% size:23%
can really reveal
some processes

00:18:09.855 --> 00:18:11.157 align:center line:-1 position:50% size:30%
that control
landslide movements,

00:18:11.157 --> 00:18:13.993 align:center line:-1 position:50% size:33%
and can do this in 3D
or even 4D in this case.

00:18:15.294 --> 00:18:17.096 align:center line:-1 position:50% size:41%
So then we were also
looking how we could use this

00:18:17.096 --> 00:18:21.200 align:center line:-1 position:50% size:34%
potentially as, you know,

00:18:21.200 --> 00:18:23.269 align:center line:-1 position:50% size:37%
for early warning purposes,
let's say.

00:18:23.269 --> 00:18:25.972 align:center line:-1 position:50% size:32%
And for this, I extracted
the moisture content

00:18:25.972 --> 00:18:28.808 align:center line:-1 position:50% size:27%
at the top part
of this eastern lobe.

00:18:28.808 --> 00:18:30.876 align:center line:-1 position:50% size:45%
And what we can see is basically
some seasonal effects.

00:18:30.876 --> 00:18:33.112 align:center line:-1 position:50% size:44%
We can see that we have
low moisture content in summer,

00:18:33.112 --> 00:18:35.081 align:center line:-1 position:50% size:42%
we have high moisture content
in winter.

00:18:35.081 --> 00:18:37.616 align:center line:-1 position:50% size:42%
And in general over the period
that we analyzed,

00:18:37.616 --> 00:18:41.654 align:center line:-1 position:50% size:41%
the moisture content
basically increased over time.

00:18:41.654 --> 00:18:46.692 align:center line:-1 position:50% size:43%
This also agrees with the
water levels that we measured,

00:18:46.692 --> 00:18:51.163 align:center line:-1 position:50% size:35%
which also show some
sort of seasonal behavior,

00:18:51.163 --> 00:18:54.433 align:center line:-1 position:50% size:40%
but also clearly show this rise
over the couple of years

00:18:54.433 --> 00:18:57.403 align:center line:-1 position:50% size:31%
or few years
that we monitored this.

00:18:57.403 --> 00:18:58.471 align:center line:-1 position:50% size:28%
On the bottom here,

00:18:58.471 --> 00:19:01.907 align:center line:-1 position:50% size:35%
what we see
is a displacement record.

00:19:01.907 --> 00:19:04.710 align:center line:-1 position:50% size:37%
So first we see that we had
a little bit of creep,

00:19:04.710 --> 00:19:06.145 align:center line:-1 position:50% size:43%
there was not much movement,

00:19:06.145 --> 00:19:09.515 align:center line:-1 position:50% size:36%
but then as soon as we hit
the winter of 2012, 2013,

00:19:09.515 --> 00:19:12.118 align:center line:-1 position:50% size:38%
we see really that the slope
started to accelerate

00:19:12.118 --> 00:19:13.552 align:center line:-1 position:50% size:38%
and had a lot of movement.

00:19:13.552 --> 00:19:17.023 align:center line:-1 position:50% size:44%
Now if we relate this to
the measured moisture content,

00:19:17.023 --> 00:19:20.226 align:center line:-1 position:50% size:31%
we can actually derive
a threshold.

00:19:20.226 --> 00:19:21.594 align:center line:-1 position:50% size:17%
In this case,

00:19:21.594 --> 00:19:24.630 align:center line:-1 position:50% size:45%
we found that if we have
more than 48% moisture content

00:19:24.630 --> 00:19:25.698 align:center line:-1 position:50% size:31%
in this part of the lobe,

00:19:25.698 --> 00:19:26.832 align:center line:-1 position:50% size:25%
and so just above
the eastern lobe,

00:19:26.832 --> 00:19:28.601 align:center line:-1 position:50% size:30%
that's where we have
to expect movements.

00:19:28.601 --> 00:19:31.537 align:center line:-1 position:50% size:35%
And now if I would extend
this plot into the future,

00:19:31.537 --> 00:19:32.371 align:center line:-1 position:50% size:28%
and actually
we have all the data

00:19:32.371 --> 00:19:34.106 align:center line:-1 position:50% size:28%
because the system
is still monitoring,

00:19:34.106 --> 00:19:36.075 align:center line:-1 position:50% size:37%
every time we exceed 48%

00:19:36.075 --> 00:19:38.110 align:center line:-1 position:50% size:35%
is actually really
where we see movement,

00:19:38.110 --> 00:19:42.214 align:center line:-1 position:50% size:42%
so this threshold proved better
than the last few years.

00:19:42.214 --> 00:19:45.117 align:center line:-1 position:50% size:39%
So this was just to show you
what you can do

00:19:45.117 --> 00:19:49.055 align:center line:-1 position:50% size:39%
with geophysical monitoring,
let's say.

00:19:49.055 --> 00:19:50.356 align:center line:-1 position:50% size:37%
The problem that you have
with that

00:19:50.356 --> 00:19:52.558 align:center line:-1 position:50% size:37%
is that it's very site specific.

00:19:52.558 --> 00:19:53.893 align:center line:-1 position:50% size:27%
So that's something
that you can do

00:19:53.893 --> 00:19:56.228 align:center line:-1 position:50% size:38%
on a place where you know
you have a problem, right?

00:19:56.228 --> 00:19:58.631 align:center line:-1 position:50% size:40%
Where the problem is severe

00:19:58.631 --> 00:20:00.132 align:center line:-1 position:50% size:31%
and you want
to understand it better.

00:20:00.132 --> 00:20:03.169 align:center line:-1 position:50% size:40%
That's actually also how
the British Geological Survey

00:20:03.169 --> 00:20:05.404 align:center line:-1 position:50% size:36%
is using these techniques.

00:20:05.404 --> 00:20:06.872 align:center line:-1 position:50% size:34%
They're working together
quite a lot

00:20:06.872 --> 00:20:08.107 align:center line:-1 position:50% size:24%
with, for instance,
Network Rail,

00:20:08.107 --> 00:20:11.410 align:center line:-1 position:50% size:39%
which is the railway provider
in the UK,

00:20:11.410 --> 00:20:16.348 align:center line:-1 position:50% size:42%
which often asks them
to install these kind of systems

00:20:16.348 --> 00:20:19.051 align:center line:-1 position:50% size:43%
at areas where they really have
big problems and instabilities,

00:20:19.051 --> 00:20:20.519 align:center line:-1 position:50% size:35%
but they really don't know
what's triggering

00:20:20.519 --> 00:20:22.054 align:center line:-1 position:50% size:28%
the sort of instability,
for instance,

00:20:22.054 --> 00:20:24.223 align:center line:-1 position:50% size:33%
and so they're using this
as a measure

00:20:24.223 --> 00:20:26.358 align:center line:-1 position:50% size:40%
to really image
what's going on in the ground

00:20:26.358 --> 00:20:29.061 align:center line:-1 position:50% size:37%
to then design
some mitigation measures.

00:20:29.061 --> 00:20:31.397 align:center line:-1 position:50% size:39%
But now what we want to do
is we wanted to bring this

00:20:31.397 --> 00:20:33.365 align:center line:-1 position:50% size:22%
a little bit further
and upscale it,

00:20:33.365 --> 00:20:35.101 align:center line:-1 position:50% size:27%
and that, of course,
is not possible

00:20:35.101 --> 00:20:36.769 align:center line:-1 position:50% size:43%
by just using geophysics alone.

00:20:36.769 --> 00:20:38.137 align:center line:-1 position:50% size:26%
You also need
to combine it, then,

00:20:38.137 --> 00:20:39.839 align:center line:-1 position:50% size:36%
with some
environmental monitoring,

00:20:39.839 --> 00:20:41.140 align:center line:-1 position:50% size:31%
some remote sensing,

00:20:41.140 --> 00:20:42.808 align:center line:-1 position:50% size:32%
and then,
as I already mentioned,

00:20:42.808 --> 00:20:45.244 align:center line:-1 position:50% size:40%
combining it with hydrological
and geomechanical modeling

00:20:45.244 --> 00:20:47.680 align:center line:-1 position:50% size:24%
to get to basically
a prediction

00:20:47.680 --> 00:20:50.316 align:center line:-1 position:50% size:24%
of factor of safety
for an entire site.

00:20:50.316 --> 00:20:53.719 align:center line:-1 position:50% size:39%
And that's something that
we try to do at Berkeley Lab,

00:20:53.719 --> 00:20:57.156 align:center line:-1 position:50% size:31%
because Berkeley Lab
is located in Berkeley,

00:20:57.156 --> 00:20:58.691 align:center line:-1 position:50% size:43%
in the San Francisco Bay Area,

00:20:58.691 --> 00:21:00.292 align:center line:-1 position:50% size:33%
where the Berkeley Hills
and the Oakland Hills

00:21:00.292 --> 00:21:02.995 align:center line:-1 position:50% size:28%
really have a history
of landslides,

00:21:02.995 --> 00:21:05.931 align:center line:-1 position:50% size:33%
there are many
deep-seated landslides,

00:21:05.931 --> 00:21:08.834 align:center line:-1 position:50% size:33%
which, obviously,
shown in this map here.

00:21:08.834 --> 00:21:10.469 align:center line:-1 position:50% size:36%
Most of them are dormant,

00:21:10.469 --> 00:21:13.405 align:center line:-1 position:50% size:40%
but there are also quite a few
active landslides.

00:21:13.405 --> 00:21:15.341 align:center line:-1 position:50% size:33%
But next to these
deep-seated landslides,

00:21:15.341 --> 00:21:19.712 align:center line:-1 position:50% size:29%
you also have a lot
of shallow landslides.

00:21:19.712 --> 00:21:23.549 align:center line:-1 position:50% size:40%
And that's something that
we were mostly interested in.

00:21:23.549 --> 00:21:28.554 align:center line:-1 position:50% size:34%
And what we focused on
is basically my office,

00:21:28.554 --> 00:21:29.755 align:center line:-1 position:50% size:31%
so Lawrence Berkeley
National Lab,

00:21:29.755 --> 00:21:31.790 align:center line:-1 position:50% size:37%
or the campus of Lawrence
Berkeley National Lab,

00:21:31.790 --> 00:21:35.194 align:center line:-1 position:50% size:43%
because, as you can see in this
other map here on the right,

00:21:35.194 --> 00:21:36.929 align:center line:-1 position:50% size:33%
also there we have a lot
of landslides.

00:21:36.929 --> 00:21:39.131 align:center line:-1 position:50% size:34%
So you have a lot
of (inaudible) landslides,

00:21:39.131 --> 00:21:43.202 align:center line:-1 position:50% size:36%
so, for instance, out here
you have an old landslide,

00:21:43.202 --> 00:21:44.370 align:center line:-1 position:50% size:29%
you have some here.

00:21:44.370 --> 00:21:45.404 align:center line:-1 position:50% size:44%
Most of them actually happened

00:21:45.404 --> 00:21:46.739 align:center line:-1 position:50% size:33%
during the development
of the site,

00:21:46.739 --> 00:21:48.974 align:center line:-1 position:50% size:27%
where they did a lot
of excavations,

00:21:48.974 --> 00:21:50.943 align:center line:-1 position:50% size:27%
changed the slopes
quite significantly,

00:21:50.943 --> 00:21:53.612 align:center line:-1 position:50% size:25%
and then you get
a lot of landslides.

00:21:53.612 --> 00:21:55.447 align:center line:-1 position:50% size:31%
But also more recently
you get quite a--

00:21:55.447 --> 00:21:56.682 align:center line:-1 position:50% size:42%
you get quite a few landslides.

00:21:56.682 --> 00:22:00.386 align:center line:-1 position:50% size:35%
So one of the active ones
that's still creeping

00:22:00.386 --> 00:22:02.922 align:center line:-1 position:50% size:38%
is Chicken Creek Landslide
that you have here.

00:22:02.922 --> 00:22:04.757 align:center line:-1 position:50% size:26%
You have one
that's called LS-40,

00:22:04.757 --> 00:22:07.860 align:center line:-1 position:50% size:29%
so likely calling--
or being called LS-40

00:22:07.860 --> 00:22:09.495 align:center line:-1 position:50% size:41%
because landslide number 40,

00:22:09.495 --> 00:22:10.729 align:center line:-1 position:50% size:36%
which is affecting a bridge
here,

00:22:10.729 --> 00:22:12.464 align:center line:-1 position:50% size:29%
so I will focus on this
in a little bit.

00:22:12.464 --> 00:22:13.332 align:center line:-1 position:50% size:24%
But basically
what you can see

00:22:13.332 --> 00:22:15.267 align:center line:-1 position:50% size:40%
is there are a lot of landslides
at this site,

00:22:15.267 --> 00:22:16.936 align:center line:-1 position:50% size:23%
but also in terms
of landslide risk,

00:22:16.936 --> 00:22:18.370 align:center line:-1 position:50% size:28%
we have a very high
landslide risk

00:22:18.370 --> 00:22:22.174 align:center line:-1 position:50% size:37%
because we also have a lot
of elements at risk, right.

00:22:22.174 --> 00:22:25.544 align:center line:-1 position:50% size:39%
So we have unique scientific
facilities in this area,

00:22:25.544 --> 00:22:26.912 align:center line:-1 position:50% size:25%
and not only here,

00:22:26.912 --> 00:22:30.649 align:center line:-1 position:50% size:37%
also downslope just in
the U.C. Berkeley campus.

00:22:30.649 --> 00:22:33.452 align:center line:-1 position:50% size:30%
So, really, we use this
as our field laboratory

00:22:33.452 --> 00:22:35.554 align:center line:-1 position:50% size:35%
and try to develop
some of these techniques

00:22:35.554 --> 00:22:38.257 align:center line:-1 position:50% size:40%
of combining hydrological
and geomechanical modeling

00:22:38.257 --> 00:22:41.694 align:center line:-1 position:50% size:42%
with remote sensing and so on
at this site.

00:22:41.694 --> 00:22:44.597 align:center line:-1 position:50% size:30%
So, first what we tried
to do here

00:22:44.597 --> 00:22:49.268 align:center line:-1 position:50% size:42%
is really we first aimed
to assess the landslide hazard

00:22:49.268 --> 00:22:50.636 align:center line:-1 position:50% size:38%
through some geostatistical

00:22:50.636 --> 00:22:52.671 align:center line:-1 position:50% size:36%
and hydro-geomechanical
modeling,

00:22:52.671 --> 00:22:56.442 align:center line:-1 position:50% size:40%
which we did here using
the Python package Landlab.

00:22:56.442 --> 00:23:00.813 align:center line:-1 position:50% size:33%
Landlab basically takes
a digital elevation model

00:23:00.813 --> 00:23:02.648 align:center line:-1 position:50% size:19%
of the area,
so, you know,

00:23:02.648 --> 00:23:04.149 align:center line:-1 position:50% size:28%
DEM, which we had
a very good one,

00:23:04.149 --> 00:23:07.219 align:center line:-1 position:50% size:43%
because there's high resolution
lidar data on the area.

00:23:07.219 --> 00:23:11.857 align:center line:-1 position:50% size:42%
And then you take distributions
of various input parameters

00:23:11.857 --> 00:23:14.627 align:center line:-1 position:50% size:31%
to basically calculate
a landslide probability.

00:23:14.627 --> 00:23:18.664 align:center line:-1 position:50% size:40%
And before we ran this model
with the--

00:23:18.664 --> 00:23:22.067 align:center line:-1 position:50% size:43%
basically distributions that
we knew that we had to expect,

00:23:22.067 --> 00:23:25.537 align:center line:-1 position:50% size:35%
we ran just
some sensitivity analysis.

00:23:25.537 --> 00:23:27.172 align:center line:-1 position:50% size:33%
And that's something
that's shown down here,

00:23:27.172 --> 00:23:30.309 align:center line:-1 position:50% size:40%
where we basically estimated
how much influence

00:23:30.309 --> 00:23:34.847 align:center line:-1 position:50% size:40%
each variable has
on the outcome of the model.

00:23:34.847 --> 00:23:37.583 align:center line:-1 position:50% size:31%
And what we found
is that really the most--

00:23:37.583 --> 00:23:41.453 align:center line:-1 position:50% size:37%
the most important variable
is the slope angle,

00:23:41.453 --> 00:23:44.923 align:center line:-1 position:50% size:40%
followed by the soil thickness
and the soil cohesion.

00:23:44.923 --> 00:23:47.092 align:center line:-1 position:50% size:27%
And less important
are the soil density,

00:23:47.092 --> 00:23:48.827 align:center line:-1 position:50% size:25%
the friction angle,
the transmissivity,

00:23:48.827 --> 00:23:49.828 align:center line:-1 position:50% size:33%
and the water recharge.

00:23:49.828 --> 00:23:53.198 align:center line:-1 position:50% size:39%
So, basically water recharge
just basically defining

00:23:53.198 --> 00:23:55.901 align:center line:-1 position:50% size:34%
your precipitation pattern
over the year.

00:23:55.901 --> 00:23:57.403 align:center line:-1 position:50% size:44%
But so basically we had to know
the slope angle

00:23:57.403 --> 00:24:00.272 align:center line:-1 position:50% size:30%
and the soil thickness
and the soil cohesion.

00:24:00.272 --> 00:24:01.173 align:center line:-1 position:50% size:30%
Now, the slope angle,
as I said,

00:24:01.173 --> 00:24:02.641 align:center line:-1 position:50% size:38%
is something
that we can get pretty easily

00:24:02.641 --> 00:24:04.543 align:center line:-1 position:50% size:35%
because we have
high-resolution lidar data,

00:24:04.543 --> 00:24:06.345 align:center line:-1 position:50% size:38%
so we didn't worry too much
about that.

00:24:06.345 --> 00:24:08.881 align:center line:-1 position:50% size:42%
But we had to find ways
of estimating the soil thickness

00:24:08.881 --> 00:24:11.050 align:center line:-1 position:50% size:24%
and the cohesion
across the site.

00:24:11.050 --> 00:24:12.851 align:center line:-1 position:50% size:29%
So the soil thickness,

00:24:12.851 --> 00:24:17.690 align:center line:-1 position:50% size:27%
we estimated
basically combining

00:24:17.690 --> 00:24:20.225 align:center line:-1 position:50% size:34%
former information
that we had from the site

00:24:20.225 --> 00:24:22.227 align:center line:-1 position:50% size:47%
and then
some geophysical measurements.

00:24:22.227 --> 00:24:25.164 align:center line:-1 position:50% size:41%
And in this case, ambient
seismic noise measurements.

00:24:25.164 --> 00:24:26.598 align:center line:-1 position:50% size:32%
And we did this
because the boreholes,

00:24:26.598 --> 00:24:28.367 align:center line:-1 position:50% size:38%
that are shown in blue here,

00:24:28.367 --> 00:24:32.971 align:center line:-1 position:50% size:41%
are in locations that are not
necessarily particularly useful

00:24:32.971 --> 00:24:37.343 align:center line:-1 position:50% size:35%
to make an assessment
of what the soil thickness

00:24:37.343 --> 00:24:38.844 align:center line:-1 position:50% size:23%
of the slopes
in this area area,

00:24:38.844 --> 00:24:42.314 align:center line:-1 position:50% size:46%
because most of these boreholes
are actually at points

00:24:42.314 --> 00:24:44.350 align:center line:-1 position:50% size:37%
where they needed to build
a new building,

00:24:44.350 --> 00:24:47.619 align:center line:-1 position:50% size:32%
or--it was that, actually.

00:24:47.619 --> 00:24:48.520 align:center line:-1 position:50% size:31%
They're mostly at sites

00:24:48.520 --> 00:24:50.456 align:center line:-1 position:50% size:32%
where they had to build
new buildings,

00:24:50.456 --> 00:24:53.258 align:center line:-1 position:50% size:30%
so they are just trying
to estimate

00:24:53.258 --> 00:24:56.462 align:center line:-1 position:50% size:38%
what the conditions are
in already developed areas.

00:24:56.462 --> 00:24:58.230 align:center line:-1 position:50% size:27%
So they were
very little boreholes

00:24:58.230 --> 00:25:00.699 align:center line:-1 position:50% size:37%
that were actually telling us
what the soil thickness is.

00:25:00.699 --> 00:25:03.902 align:center line:-1 position:50% size:44%
And so we added these ambient
seismic noise measurements,

00:25:03.902 --> 00:25:05.104 align:center line:-1 position:50% size:37%
which basically just means

00:25:05.104 --> 00:25:08.974 align:center line:-1 position:50% size:41%
you take
a three component geophone,

00:25:08.974 --> 00:25:10.509 align:center line:-1 position:50% size:31%
you put it out in a field,

00:25:10.509 --> 00:25:13.479 align:center line:-1 position:50% size:36%
you record for half an hour
or an hour so,

00:25:13.479 --> 00:25:16.915 align:center line:-1 position:50% size:31%
and then you calculate
the spectral ratio

00:25:16.915 --> 00:25:18.951 align:center line:-1 position:50% size:30%
of the horizontal
to vertical component

00:25:18.951 --> 00:25:21.086 align:center line:-1 position:50% size:27%
of the signals
that you measured.

00:25:21.086 --> 00:25:23.489 align:center line:-1 position:50% size:37%
And what you get from that
is basically just

00:25:23.489 --> 00:25:26.358 align:center line:-1 position:50% size:34%
the resonance frequency
of the ground.

00:25:26.358 --> 00:25:29.061 align:center line:-1 position:50% size:35%
And you can see this
in these plots down here.

00:25:29.061 --> 00:25:31.930 align:center line:-1 position:50% size:41%
And this resonance frequency

00:25:31.930 --> 00:25:33.565 align:center line:-1 position:50% size:38%
gives you an indication
of what the soil thickness is,

00:25:33.565 --> 00:25:35.768 align:center line:-1 position:50% size:40%
because usually
there's resonance frequency,

00:25:35.768 --> 00:25:38.637 align:center line:-1 position:50% size:29%
it just depends
on the soil thickness.

00:25:38.637 --> 00:25:41.940 align:center line:-1 position:50% size:40%
And the higher the frequency
the thinner the soil cover,

00:25:41.940 --> 00:25:45.010 align:center line:-1 position:50% size:38%
and the lower the frequency
the thicker the soil cover.

00:25:45.010 --> 00:25:48.414 align:center line:-1 position:50% size:35%
Now to really translate
these peaks in frequency

00:25:48.414 --> 00:25:49.381 align:center line:-1 position:50% size:32%
into your soil thickness,

00:25:49.381 --> 00:25:52.117 align:center line:-1 position:50% size:38%
you need to know the shear
velocity of the ground.

00:25:52.117 --> 00:25:54.853 align:center line:-1 position:50% size:38%
And we were lucky because
there are quite a number

00:25:54.853 --> 00:25:57.122 align:center line:-1 position:50% size:44%
of shear velocity measurements
across this site,

00:25:57.122 --> 00:25:58.223 align:center line:-1 position:50% size:38%
so we had a very good idea

00:25:58.223 --> 00:26:00.759 align:center line:-1 position:50% size:38%
on what the expected shear
across these are,

00:26:00.759 --> 00:26:03.228 align:center line:-1 position:50% size:30%
so we could actually
translate these peaks

00:26:03.228 --> 00:26:05.030 align:center line:-1 position:50% size:28%
into a soil thickness,

00:26:05.030 --> 00:26:06.865 align:center line:-1 position:50% size:40%
add this to
the borehole measurements,

00:26:06.865 --> 00:26:08.967 align:center line:-1 position:50% size:30%
and then interpolate it
across the site

00:26:08.967 --> 00:26:10.002 align:center line:-1 position:50% size:39%
to get a good understanding

00:26:10.002 --> 00:26:12.704 align:center line:-1 position:50% size:38%
of what the soil thickness is
across the site.

00:26:12.704 --> 00:26:14.840 align:center line:-1 position:50% size:43%
And then the second parameter
that we had to know

00:26:14.840 --> 00:26:17.976 align:center line:-1 position:50% size:28%
is the total cohesion,

00:26:17.976 --> 00:26:20.646 align:center line:-1 position:50% size:27%
which is the sum
of the soil cohesion

00:26:20.646 --> 00:26:22.347 align:center line:-1 position:50% size:31%
and the root cohesion.

00:26:22.347 --> 00:26:25.284 align:center line:-1 position:50% size:39%
So the soil cohesion is
something that we could get

00:26:25.284 --> 00:26:26.785 align:center line:-1 position:50% size:29%
from all of these
geotechnical drillings

00:26:26.785 --> 00:26:28.954 align:center line:-1 position:50% size:38%
that we had across the site.

00:26:28.954 --> 00:26:31.757 align:center line:-1 position:50% size:28%
But what we needed
to better understand

00:26:31.757 --> 00:26:33.625 align:center line:-1 position:50% size:28%
is the root cohesion.

00:26:33.625 --> 00:26:38.063 align:center line:-1 position:50% size:40%
And basically what we did
is we used some planar data,

00:26:38.063 --> 00:26:42.100 align:center line:-1 position:50% size:33%
so some high-resolution
aerial remote sen--

00:26:42.100 --> 00:26:44.236 align:center line:-1 position:50% size:42%
or optical remote sensing data,

00:26:44.236 --> 00:26:47.406 align:center line:-1 position:50% size:34%
has a resolution of about
three meters in this area.

00:26:47.406 --> 00:26:50.809 align:center line:-1 position:50% size:44%
And we took this
at various times across the year

00:26:50.809 --> 00:26:52.878 align:center line:-1 position:50% size:36%
and then trained
a machine learning model

00:26:52.878 --> 00:26:57.716 align:center line:-1 position:50% size:43%
to predict which vegetation type
we have across the site.

00:26:57.716 --> 00:27:01.353 align:center line:-1 position:50% size:31%
And we made it
also somewhat simple

00:27:01.353 --> 00:27:03.755 align:center line:-1 position:50% size:31%
in that we only
distinguished between

00:27:03.755 --> 00:27:05.657 align:center line:-1 position:50% size:33%
what is high
or what's tall vegetation,

00:27:05.657 --> 00:27:07.226 align:center line:-1 position:50% size:31%
what is low vegetation,

00:27:07.226 --> 00:27:09.394 align:center line:-1 position:50% size:40%
and where
do we really have vegetation,

00:27:09.394 --> 00:27:12.498 align:center line:-1 position:50% size:36%
so where do we only have
bare soil across.

00:27:12.498 --> 00:27:18.337 align:center line:-1 position:50% size:41%
And then by employing
a simple root density function,

00:27:18.337 --> 00:27:21.073 align:center line:-1 position:50% size:37%
we could actually calculate
what the root cohesion is

00:27:21.073 --> 00:27:24.776 align:center line:-1 position:50% size:34%
with that depending
on each vegetation type.

00:27:24.776 --> 00:27:27.713 align:center line:-1 position:50% size:43%
So that's then bringing us
the total cohesion that we need

00:27:27.713 --> 00:27:30.249 align:center line:-1 position:50% size:42%
for the model,
and then the other parameters

00:27:30.249 --> 00:27:33.752 align:center line:-1 position:50% size:40%
on which the model
is not that sensitive anyways,

00:27:33.752 --> 00:27:35.721 align:center line:-1 position:50% size:28%
like the friction angle
or the soil density,

00:27:35.721 --> 00:27:37.689 align:center line:-1 position:50% size:33%
is just other parameters
that we took

00:27:37.689 --> 00:27:39.925 align:center line:-1 position:50% size:39%
from the geotechnical drilling
and from soil testing

00:27:39.925 --> 00:27:42.928 align:center line:-1 position:50% size:44%
that had been performed at site.

00:27:42.928 --> 00:27:45.063 align:center line:-1 position:50% size:38%
And then we ran this model,

00:27:45.063 --> 00:27:48.166 align:center line:-1 position:50% size:36%
and basically the outcome
is shown here.

00:27:48.166 --> 00:27:52.037 align:center line:-1 position:50% size:37%
So what we get from it
is just probability of failure,

00:27:52.037 --> 00:27:54.773 align:center line:-1 position:50% size:35%
that's coming from
a Monte-Carlo simulation

00:27:54.773 --> 00:27:56.875 align:center line:-1 position:50% size:34%
of an infinite slope model

00:27:56.875 --> 00:27:58.877 align:center line:-1 position:50% size:28%
that is implemented
at a certain Landlab,

00:27:58.877 --> 00:28:02.814 align:center line:-1 position:50% size:43%
and then we can see areas that
have high landslide probability,

00:28:02.814 --> 00:28:05.183 align:center line:-1 position:50% size:41%
particularly in the eastern part
of the site,

00:28:05.183 --> 00:28:06.785 align:center line:-1 position:50% size:20%
which is also
(unintelligible).

00:28:06.785 --> 00:28:08.287 align:center line:-1 position:50% size:36%
I was actually sitting here,

00:28:08.287 --> 00:28:12.024 align:center line:-1 position:50% size:37%
so just below this very high
landslide probability,

00:28:12.024 --> 00:28:16.061 align:center line:-1 position:50% size:42%
but also actually sitting on one
of the old putty landslides,

00:28:16.061 --> 00:28:17.896 align:center line:-1 position:50% size:34%
and we have
high landslide probability

00:28:17.896 --> 00:28:20.832 align:center line:-1 position:50% size:41%
in this area, and we also have
high landslide probability

00:28:20.832 --> 00:28:22.000 align:center line:-1 position:50% size:16%
in this area.

00:28:22.000 --> 00:28:23.602 align:center line:-1 position:50% size:39%
So now we know, you know,

00:28:23.602 --> 00:28:26.572 align:center line:-1 position:50% size:34%
where we have kind of
high landslide probability

00:28:26.572 --> 00:28:28.040 align:center line:-1 position:50% size:27%
across the site,
so that's something

00:28:28.040 --> 00:28:31.176 align:center line:-1 position:50% size:26%
that we'll later use
to then also decide

00:28:31.176 --> 00:28:33.579 align:center line:-1 position:50% size:27%
where we put
our sensor network.

00:28:33.579 --> 00:28:36.014 align:center line:-1 position:50% size:43%
The other thing that
I already mentioned is that we--

00:28:36.014 --> 00:28:37.849 align:center line:-1 position:50% size:34%
to calculate
this landslide probability,

00:28:37.849 --> 00:28:41.019 align:center line:-1 position:50% size:36%
we also included
the vegetation distribution.

00:28:41.019 --> 00:28:43.589 align:center line:-1 position:50% size:35%
That's actually pretty neat
because it also means

00:28:43.589 --> 00:28:46.625 align:center line:-1 position:50% size:41%
that if the vegetation changes,
we could recalculate

00:28:46.625 --> 00:28:49.161 align:center line:-1 position:50% size:25%
what the landslide
probability is.

00:28:49.161 --> 00:28:52.764 align:center line:-1 position:50% size:45%
And in this case, where you have
active vegetation management

00:28:52.764 --> 00:28:55.434 align:center line:-1 position:50% size:33%
but also wildfires, that's
actually very interesting.

00:28:55.434 --> 00:28:57.202 align:center line:-1 position:50% size:23%
And we had one
of these cases.

00:28:57.202 --> 00:29:00.706 align:center line:-1 position:50% size:29%
In this case,
one of the areas had

00:29:00.706 --> 00:29:02.774 align:center line:-1 position:50% size:26%
eucalyptus trees
that were pretty tall

00:29:02.774 --> 00:29:04.676 align:center line:-1 position:50% size:38%
and were actually
pretty close to a power line,

00:29:04.676 --> 00:29:07.646 align:center line:-1 position:50% size:37%
and so PG&amp;E had decided
that they had to go

00:29:07.646 --> 00:29:09.948 align:center line:-1 position:50% size:26%
because they were
a wildfire hazard,

00:29:09.948 --> 00:29:12.951 align:center line:-1 position:50% size:40%
and so we were actually able
to recalculate--

00:29:12.951 --> 00:29:15.153 align:center line:-1 position:50% size:39%
or to calculate what
the landslide probability was

00:29:15.153 --> 00:29:18.857 align:center line:-1 position:50% size:39%
before and after this removal
of the eucalyptus trees,

00:29:18.857 --> 00:29:21.793 align:center line:-1 position:50% size:46%
and we can see the change here,
and what we found is that,

00:29:21.793 --> 00:29:23.629 align:center line:-1 position:50% size:24%
in areas where
we had thick soil,

00:29:23.629 --> 00:29:28.266 align:center line:-1 position:50% size:40%
so where the soil was thicker
than roughly three meters,

00:29:28.266 --> 00:29:30.202 align:center line:-1 position:50% size:37%
we saw hardly any change.

00:29:30.202 --> 00:29:31.970 align:center line:-1 position:50% size:38%
So here, that's shown here,

00:29:31.970 --> 00:29:35.140 align:center line:-1 position:50% size:41%
where we see, yeah, basically
not much change at all.

00:29:35.140 --> 00:29:38.276 align:center line:-1 position:50% size:38%
And then, for the other area

00:29:38.276 --> 00:29:41.246 align:center line:-1 position:50% size:26%
where the soil
was relatively thin,

00:29:41.246 --> 00:29:43.682 align:center line:-1 position:50% size:31%
the removal
of the eucalyptus trees

00:29:43.682 --> 00:29:45.951 align:center line:-1 position:50% size:33%
actually really increased
the landslide probability,

00:29:45.951 --> 00:29:47.753 align:center line:-1 position:50% size:31%
and we talked
with site management,

00:29:47.753 --> 00:29:49.087 align:center line:-1 position:50% size:27%
and they're actually
fully aware of that,

00:29:49.087 --> 00:29:53.992 align:center line:-1 position:50% size:43%
and they are now implementing
a vegetation plan

00:29:53.992 --> 00:29:58.797 align:center line:-1 position:50% size:40%
where they're actually putting
some native oak trees

00:29:58.797 --> 00:30:01.800 align:center line:-1 position:50% size:41%
and they're putting some
small shrubs and bushes here

00:30:01.800 --> 00:30:04.903 align:center line:-1 position:50% size:22%
to basically help
the vegetation--

00:30:04.903 --> 00:30:10.575 align:center line:-1 position:50% size:33%
or to use the vegetation
to stabilize the slope.

00:30:10.575 --> 00:30:14.046 align:center line:-1 position:50% size:30%
Now I would like to go
to the next slide, but...

00:30:14.046 --> 00:30:16.715 align:center line:-1 position:50% size:27%
Yeah, there you go,
it's just a bit slow.

00:30:16.715 --> 00:30:19.151 align:center line:-1 position:50% size:25%
So the other thing
that we did is,

00:30:19.151 --> 00:30:22.754 align:center line:-1 position:50% size:35%
we looked at another site.

00:30:22.754 --> 00:30:24.823 align:center line:-1 position:50% size:33%
As I said,
we're kind of interested,

00:30:24.823 --> 00:30:26.224 align:center line:-1 position:50% size:34%
you know, it's nice to get

00:30:26.224 --> 00:30:29.795 align:center line:-1 position:50% size:37%
the landslide probability
distribution across the site,

00:30:29.795 --> 00:30:33.298 align:center line:-1 position:50% size:34%
but we're also interested
in better understanding

00:30:33.298 --> 00:30:34.966 align:center line:-1 position:50% size:27%
landslide dynamics,
and in particular,

00:30:34.966 --> 00:30:36.702 align:center line:-1 position:50% size:31%
the landslide dynamics
of a landslide,

00:30:36.702 --> 00:30:39.104 align:center line:-1 position:50% size:23%
this Landslide 40
that's out here,

00:30:39.104 --> 00:30:41.573 align:center line:-1 position:50% size:24%
which is affecting
this bridge.

00:30:41.573 --> 00:30:44.609 align:center line:-1 position:50% size:30%
And so at this site,
we did various things,

00:30:44.609 --> 00:30:46.378 align:center line:-1 position:50% size:37%
a range
of geophysical techniques,

00:30:46.378 --> 00:30:48.513 align:center line:-1 position:50% size:26%
and I will talk
about two of them.

00:30:48.513 --> 00:30:50.282 align:center line:-1 position:50% size:30%
So, first,
I'm going to show you

00:30:50.282 --> 00:30:51.983 align:center line:-1 position:50% size:39%
some of the characterization
that we did

00:30:51.983 --> 00:30:54.953 align:center line:-1 position:50% size:37%
on a relatively small scale,
but basically we measured,

00:30:54.953 --> 00:30:58.290 align:center line:-1 position:50% size:40%
again,
the P- and S-wave velocities.

00:30:58.290 --> 00:30:59.791 align:center line:-1 position:50% size:42%
So we have P-wave velocities.

00:30:59.791 --> 00:31:01.126 align:center line:-1 position:50% size:25%
This is actually
S-wave velocities,

00:31:01.126 --> 00:31:02.527 align:center line:-1 position:50% size:27%
even though it says
P-wave velocities,

00:31:02.527 --> 00:31:03.995 align:center line:-1 position:50% size:35%
but it's S-wave velocities,

00:31:03.995 --> 00:31:07.766 align:center line:-1 position:50% size:42%
and we can see how they vary
across the site,

00:31:07.766 --> 00:31:09.801 align:center line:-1 position:50% size:30%
which basically shows
that we just have

00:31:09.801 --> 00:31:13.338 align:center line:-1 position:50% size:41%
a pretty slow velocity material

00:31:13.338 --> 00:31:16.608 align:center line:-1 position:50% size:39%
that's overlying
more higher velocity ground,

00:31:16.608 --> 00:31:19.845 align:center line:-1 position:50% size:43%
so pretty weak material
on top of more competent rock.

00:31:19.845 --> 00:31:22.748 align:center line:-1 position:50% size:45%
And basically what we have, too,
here is basically the interface

00:31:22.748 --> 00:31:25.784 align:center line:-1 position:50% size:43%
between the Moraga Formation
and the Orinda Formation,

00:31:25.784 --> 00:31:27.486 align:center line:-1 position:50% size:31%
and in this case,
the Moraga Formation

00:31:27.486 --> 00:31:29.788 align:center line:-1 position:50% size:41%
is somewhat more permeable
than the Orinda Formation.

00:31:29.788 --> 00:31:31.957 align:center line:-1 position:50% size:21%
And if we look
across the site,

00:31:31.957 --> 00:31:33.992 align:center line:-1 position:50% size:29%
almost at every place
where we are

00:31:33.992 --> 00:31:35.627 align:center line:-1 position:50% size:42%
at this interface
between these two formations,

00:31:35.627 --> 00:31:37.362 align:center line:-1 position:50% size:34%
that's also where we see
some landslides,

00:31:37.362 --> 00:31:39.231 align:center line:-1 position:50% size:28%
which is probably
just because we get,

00:31:39.231 --> 00:31:40.866 align:center line:-1 position:50% size:41%
you know, water that's coming

00:31:40.866 --> 00:31:42.834 align:center line:-1 position:50% size:38%
from the Moraga Formation
and the Orinda Formation,

00:31:42.834 --> 00:31:45.137 align:center line:-1 position:50% size:37%
it just cannot go anywhere,
and we get rise

00:31:45.137 --> 00:31:49.474 align:center line:-1 position:50% size:39%
in pore pressures that's then
driving some deformation.

00:31:49.474 --> 00:31:51.877 align:center line:-1 position:50% size:34%
So as I said,
we have this bridge here

00:31:51.877 --> 00:31:55.380 align:center line:-1 position:50% size:31%
which is actually being
heavily affected

00:31:55.380 --> 00:31:56.915 align:center line:-1 position:50% size:36%
by this creeping landslide.

00:31:56.915 --> 00:31:58.583 align:center line:-1 position:50% size:29%
So the landslide itself
is moving

00:31:58.583 --> 00:32:00.986 align:center line:-1 position:50% size:43%
by about ten millimeters a year,
so not a lot,

00:32:00.986 --> 00:32:04.156 align:center line:-1 position:50% size:36%
but it's actually having
a big effect on this bridge.

00:32:04.156 --> 00:32:06.057 align:center line:-1 position:50% size:29%
And at Berkeley Lab,

00:32:06.057 --> 00:32:07.826 align:center line:-1 position:50% size:37%
we use advanced
monitoring instrumentation,

00:32:07.826 --> 00:32:11.129 align:center line:-1 position:50% size:33%
so one of them is a ruler
that is just measuring

00:32:11.129 --> 00:32:12.597 align:center line:-1 position:50% size:29%
how much this bridge
is deforming.

00:32:12.597 --> 00:32:15.367 align:center line:-1 position:50% size:41%
So we're just looking at one of
the pillars of the bridge here,

00:32:15.367 --> 00:32:17.235 align:center line:-1 position:50% size:35%
and basically you have
this ruler that's measuring

00:32:17.235 --> 00:32:18.470 align:center line:-1 position:50% size:34%
how much it's deforming.

00:32:18.470 --> 00:32:21.439 align:center line:-1 position:50% size:32%
The only downside
of such instrumentation

00:32:21.439 --> 00:32:23.508 align:center line:-1 position:50% size:40%
is that, every now and again,
it falls off

00:32:23.508 --> 00:32:24.976 align:center line:-1 position:50% size:40%
and then it has to be reglued,

00:32:24.976 --> 00:32:26.978 align:center line:-1 position:50% size:28%
so really it's actually
of not much use.

00:32:26.978 --> 00:32:30.348 align:center line:-1 position:50% size:39%
So, but anyway, I mean,
they're monitoring the bridge

00:32:30.348 --> 00:32:31.917 align:center line:-1 position:50% size:30%
and actually right now

00:32:31.917 --> 00:32:33.552 align:center line:-1 position:50% size:35%
are completely rebuilding
the bridge.

00:32:33.552 --> 00:32:38.190 align:center line:-1 position:50% size:38%
So, yeah, having a good bit
of construction there

00:32:38.190 --> 00:32:39.958 align:center line:-1 position:50% size:21%
at the moment.

00:32:39.958 --> 00:32:42.594 align:center line:-1 position:50% size:37%
Basically what we did here
is we installed

00:32:42.594 --> 00:32:45.463 align:center line:-1 position:50% size:36%
a range of instrumentation
along a short transect

00:32:45.463 --> 00:32:47.232 align:center line:-1 position:50% size:26%
that's shown here,
so we have, again,

00:32:47.232 --> 00:32:48.400 align:center line:-1 position:50% size:39%
some resistivity tomography,

00:32:48.400 --> 00:32:50.268 align:center line:-1 position:50% size:21%
but what I want
to focus on first

00:32:50.268 --> 00:32:53.371 align:center line:-1 position:50% size:40%
is actually some ambient
seismic noise measurements

00:32:53.371 --> 00:32:59.978 align:center line:-1 position:50% size:42%
that we did in October of 2021.

00:32:59.978 --> 00:33:04.182 align:center line:-1 position:50% size:39%
And at that time, we got
about 150 millimeters of rain

00:33:04.182 --> 00:33:05.717 align:center line:-1 position:50% size:22%
within 24 hours,

00:33:05.717 --> 00:33:09.120 align:center line:-1 position:50% size:27%
so pretty significant
rainfall event

00:33:09.120 --> 00:33:12.090 align:center line:-1 position:50% size:34%
that actually caused
some of the deformation.

00:33:12.090 --> 00:33:15.961 align:center line:-1 position:50% size:36%
And so, what we see here
is basically the results

00:33:15.961 --> 00:33:17.729 align:center line:-1 position:50% size:41%
of these ambient
seismic noise measurements.

00:33:17.729 --> 00:33:20.232 align:center line:-1 position:50% size:29%
So what you do there
is you just record

00:33:20.232 --> 00:33:24.135 align:center line:-1 position:50% size:40%
the seismic wavefield
as it's happening around you.

00:33:24.135 --> 00:33:26.938 align:center line:-1 position:50% size:29%
So it will be the noise
from cars,

00:33:26.938 --> 00:33:30.108 align:center line:-1 position:50% size:45%
it will be the noise of the
trees moving around in the wind,

00:33:30.108 --> 00:33:31.977 align:center line:-1 position:50% size:32%
it will be the noise
of the waves in the bay.

00:33:31.977 --> 00:33:34.379 align:center line:-1 position:50% size:38%
So everything that is
kind of going on around you

00:33:34.379 --> 00:33:36.381 align:center line:-1 position:50% size:41%
is what we're measuring here.

00:33:36.381 --> 00:33:39.985 align:center line:-1 position:50% size:33%
And then what we do is,
we correlate

00:33:39.985 --> 00:33:43.655 align:center line:-1 position:50% size:34%
the signal of each station
to itself.

00:33:43.655 --> 00:33:47.459 align:center line:-1 position:50% size:47%
So we correlate basically
what's happening 48 hours before

00:33:47.459 --> 00:33:48.894 align:center line:-1 position:50% size:32%
to what we're recording
right now,

00:33:48.894 --> 00:33:50.161 align:center line:-1 position:50% size:45%
and then what you would expect,

00:33:50.161 --> 00:33:51.496 align:center line:-1 position:50% size:29%
if nothing is changing
the ground,

00:33:51.496 --> 00:33:54.366 align:center line:-1 position:50% size:35%
is that you get a very high
correlation coefficient

00:33:54.366 --> 00:33:56.001 align:center line:-1 position:50% size:35%
because basically
your signals don't change

00:33:56.001 --> 00:33:57.402 align:center line:-1 position:50% size:32%
if nothing
in the ground changes,

00:33:57.402 --> 00:34:01.072 align:center line:-1 position:50% size:49%
because the noise you can assume
all the time is pretty constant.

00:34:01.072 --> 00:34:02.540 align:center line:-1 position:50% size:32%
But that's not the case,

00:34:02.540 --> 00:34:04.643 align:center line:-1 position:50% size:35%
and that has been shown
in other papers, too,

00:34:04.643 --> 00:34:06.011 align:center line:-1 position:50% size:40%
that when you get landslides,

00:34:06.011 --> 00:34:09.481 align:center line:-1 position:50% size:43%
you actually can get, you know,
some responses in the ground

00:34:09.481 --> 00:34:11.683 align:center line:-1 position:50% size:41%
that sometimes happen hours
before actual movement,

00:34:11.683 --> 00:34:13.418 align:center line:-1 position:50% size:26%
and that's also
what we saw here.

00:34:13.418 --> 00:34:15.387 align:center line:-1 position:50% size:31%
So, first,
before the rain started,

00:34:15.387 --> 00:34:17.322 align:center line:-1 position:50% size:29%
we get this high
correlation coefficient

00:34:17.322 --> 00:34:18.857 align:center line:-1 position:50% size:25%
which is shown
in red colors here,

00:34:18.857 --> 00:34:20.592 align:center line:-1 position:50% size:24%
but then as soon
as the rain starts,

00:34:20.592 --> 00:34:24.129 align:center line:-1 position:50% size:32%
we get these lower
correlation coefficients,

00:34:24.129 --> 00:34:25.397 align:center line:-1 position:50% size:23%
and in particular,
at the beginning,

00:34:25.397 --> 00:34:26.965 align:center line:-1 position:50% size:35%
we get them
at the higher frequencies,

00:34:26.965 --> 00:34:29.267 align:center line:-1 position:50% size:39%
which means that, especially
in the shallow soft surface,

00:34:29.267 --> 00:34:31.069 align:center line:-1 position:50% size:28%
things are changing.

00:34:31.069 --> 00:34:36.641 align:center line:-1 position:50% size:41%
And then, later on,
we see that we lose the signal

00:34:36.641 --> 00:34:38.877 align:center line:-1 position:50% size:29%
throughout almost all
the frequencies,

00:34:38.877 --> 00:34:42.314 align:center line:-1 position:50% size:39%
and we basically, yeah,
so our correlation coefficient

00:34:42.314 --> 00:34:44.616 align:center line:-1 position:50% size:28%
almost goes to zero,
and we saw--

00:34:44.616 --> 00:34:47.285 align:center line:-1 position:50% size:41%
this shows us that we get,
you know, a disturbed ground

00:34:47.285 --> 00:34:49.821 align:center line:-1 position:50% size:35%
not only at the surface
but also at deeper layers.

00:34:49.821 --> 00:34:52.757 align:center line:-1 position:50% size:36%
And here in this case,
this happens around here,

00:34:52.757 --> 00:34:55.527 align:center line:-1 position:50% size:32%
and then six hours later
is when we see

00:34:55.527 --> 00:34:58.897 align:center line:-1 position:50% size:38%
some significant movement
throughout the soil count.

00:34:58.897 --> 00:35:02.934 align:center line:-1 position:50% size:38%
So this plot here shows you
this placement

00:35:02.934 --> 00:35:06.204 align:center line:-1 position:50% size:36%
from basically the surface
down to 1.8 meters depth,

00:35:06.204 --> 00:35:08.540 align:center line:-1 position:50% size:20%
and I will talk
a little bit more

00:35:08.540 --> 00:35:10.942 align:center line:-1 position:50% size:44%
about these deformation probes
in one of the following slides

00:35:10.942 --> 00:35:13.111 align:center line:-1 position:50% size:41%
because they're pretty unique.

00:35:13.111 --> 00:35:14.913 align:center line:-1 position:50% size:30%
But this is basically
for the bottom sensor,

00:35:14.913 --> 00:35:16.915 align:center line:-1 position:50% size:36%
then we had a sensor
that was further to the top,

00:35:16.915 --> 00:35:19.551 align:center line:-1 position:50% size:29%
and we can see
a similar thing again.

00:35:19.551 --> 00:35:22.454 align:center line:-1 position:50% size:26%
So we see the loss
in the signal

00:35:22.454 --> 00:35:23.888 align:center line:-1 position:50% size:44%
throughout the frequency range,

00:35:23.888 --> 00:35:26.124 align:center line:-1 position:50% size:38%
and then, about three hours
later in this case,

00:35:26.124 --> 00:35:27.959 align:center line:-1 position:50% size:39%
is where things start moving.

00:35:27.959 --> 00:35:30.128 align:center line:-1 position:50% size:45%
And in this case,
as you can see from these plots,

00:35:30.128 --> 00:35:31.329 align:center line:-1 position:50% size:41%
this is really small movement.

00:35:31.329 --> 00:35:33.631 align:center line:-1 position:50% size:37%
It's only like ten millimeters
of movement,

00:35:33.631 --> 00:35:36.634 align:center line:-1 position:50% size:45%
so that's not a lot,
but we see significant movement

00:35:36.634 --> 00:35:39.838 align:center line:-1 position:50% size:41%
that we can resolve
into these probes really nicely.

00:35:39.838 --> 00:35:42.107 align:center line:-1 position:50% size:41%
And the interesting thing here,
too, is that, you know,

00:35:42.107 --> 00:35:44.409 align:center line:-1 position:50% size:40%
we get first movement
at the bottom then at the top,

00:35:44.409 --> 00:35:47.145 align:center line:-1 position:50% size:48%
so basically what this means is
we get some movement down here

00:35:47.145 --> 00:35:48.480 align:center line:-1 position:50% size:22%
that's releasing
some stressors,

00:35:48.480 --> 00:35:51.916 align:center line:-1 position:50% size:36%
and then we get
some movement up there.

00:35:51.916 --> 00:35:53.618 align:center line:-1 position:50% size:36%
We also, as I said, we had

00:35:53.618 --> 00:35:55.286 align:center line:-1 position:50% size:30%
an electrical resistivity
tomography line

00:35:55.286 --> 00:35:58.523 align:center line:-1 position:50% size:45%
installed at the site,
and we were basically using that

00:35:58.523 --> 00:36:02.761 align:center line:-1 position:50% size:45%
to better understand how storm--
how these winter storms

00:36:02.761 --> 00:36:04.729 align:center line:-1 position:50% size:25%
cause variations
in road conditions

00:36:04.729 --> 00:36:07.565 align:center line:-1 position:50% size:39%
and how this changes, then,
the slope stability.

00:36:07.565 --> 00:36:11.136 align:center line:-1 position:50% size:42%
So we monitored the electrical
resistivity of the ground

00:36:11.136 --> 00:36:13.805 align:center line:-1 position:50% size:34%
using electrical resistivity
tomography,

00:36:13.805 --> 00:36:17.308 align:center line:-1 position:50% size:30%
and the tomograms
are shown again here

00:36:17.308 --> 00:36:19.044 align:center line:-1 position:50% size:41%
where we can see, you know,

00:36:19.044 --> 00:36:21.913 align:center line:-1 position:50% size:33%
the conductive
putty landslide deposits,

00:36:21.913 --> 00:36:24.182 align:center line:-1 position:50% size:36%
probably highly saturated.

00:36:24.182 --> 00:36:25.917 align:center line:-1 position:50% size:44%
Above here,
we have the Moraga Formation,

00:36:25.917 --> 00:36:28.820 align:center line:-1 position:50% size:43%
and below here,
we have the Orinda Formation.

00:36:28.820 --> 00:36:31.423 align:center line:-1 position:50% size:30%
Now, usually,
what we would expect

00:36:31.423 --> 00:36:35.760 align:center line:-1 position:50% size:41%
when it's raining is that
the resistivity would decrease,

00:36:35.760 --> 00:36:38.897 align:center line:-1 position:50% size:35%
usually because we get
an increase in saturation.

00:36:38.897 --> 00:36:43.635 align:center line:-1 position:50% size:39%
In this case, we actually saw
an increased resistivity,

00:36:43.635 --> 00:36:47.072 align:center line:-1 position:50% size:47%
which is mostly because we have,

00:36:47.072 --> 00:36:50.341 align:center line:-1 position:50% size:43%
in some really high conductivity
pore water,

00:36:50.341 --> 00:36:52.410 align:center line:-1 position:50% size:42%
that then during the fall season
and winter

00:36:52.410 --> 00:36:55.246 align:center line:-1 position:50% size:39%
where you have a lot of rain,
it's washed out and replaced

00:36:55.246 --> 00:37:00.285 align:center line:-1 position:50% size:41%
by more resistive rainwater
that's coming into the system.

00:37:00.285 --> 00:37:02.387 align:center line:-1 position:50% size:41%
So in this case,
we can track the groundwater

00:37:02.387 --> 00:37:05.223 align:center line:-1 position:50% size:37%
just by looking
at these negative changes,

00:37:05.223 --> 00:37:07.692 align:center line:-1 position:50% size:30%
and when we do that,
we can actually

00:37:07.692 --> 00:37:09.627 align:center line:-1 position:50% size:42%
really nicely extract
where the groundwater table is

00:37:09.627 --> 00:37:11.996 align:center line:-1 position:50% size:38%
and we can put this into
simple infinite slope models

00:37:11.996 --> 00:37:13.631 align:center line:-1 position:50% size:29%
and we can calculate
how this changes

00:37:13.631 --> 00:37:16.000 align:center line:-1 position:50% size:26%
the factor of safety
of these landslides

00:37:16.000 --> 00:37:18.169 align:center line:-1 position:50% size:22%
or, in this case,
of these slopes.

00:37:18.169 --> 00:37:20.805 align:center line:-1 position:50% size:30%
And so in this case,
what we found is that,

00:37:20.805 --> 00:37:23.608 align:center line:-1 position:50% size:43%
beginning or before the storms,

00:37:23.608 --> 00:37:26.144 align:center line:-1 position:50% size:34%
we had a factor of safety
of about 1.42,

00:37:26.144 --> 00:37:29.214 align:center line:-1 position:50% size:45%
and then after the storms,
when the groundwater table rose

00:37:29.214 --> 00:37:30.715 align:center line:-1 position:50% size:32%
a little bit, by not much,

00:37:30.715 --> 00:37:32.784 align:center line:-1 position:50% size:34%
just by a half meter or so
in places,

00:37:32.784 --> 00:37:37.589 align:center line:-1 position:50% size:42%
we see that the factor of safety
goes down to 1.38.

00:37:37.589 --> 00:37:41.059 align:center line:-1 position:50% size:31%
We also had a student
working on developing

00:37:41.059 --> 00:37:42.994 align:center line:-1 position:50% size:34%
some automation of this,

00:37:42.994 --> 00:37:45.063 align:center line:-1 position:50% size:33%
so we used
unsupervised clustering

00:37:45.063 --> 00:37:46.531 align:center line:-1 position:50% size:31%
to extract
the groundwater table,

00:37:46.531 --> 00:37:50.235 align:center line:-1 position:50% size:37%
and we could use this then
to really get

00:37:50.235 --> 00:37:54.973 align:center line:-1 position:50% size:38%
this updated factor of safety
in almost real time,

00:37:54.973 --> 00:37:56.374 align:center line:-1 position:50% size:27%
so that's something
that you can do

00:37:56.374 --> 00:38:00.378 align:center line:-1 position:50% size:35%
with these kinds
of monitoring techniques.

00:38:00.378 --> 00:38:03.181 align:center line:-1 position:50% size:35%
So, for monitoring, again,
we can understand

00:38:03.181 --> 00:38:06.651 align:center line:-1 position:50% size:44%
how the soil moisture conditions
indeed play a critical role

00:38:06.651 --> 00:38:09.420 align:center line:-1 position:50% size:31%
in landslide processes
at Berkeley Lab,

00:38:09.420 --> 00:38:12.223 align:center line:-1 position:50% size:38%
and as I already mentioned,
this is really great

00:38:12.223 --> 00:38:14.792 align:center line:-1 position:50% size:37%
because you can get
a very good understanding

00:38:14.792 --> 00:38:19.097 align:center line:-1 position:50% size:38%
of how things are behaving,
but as I've also shown,

00:38:19.097 --> 00:38:20.732 align:center line:-1 position:50% size:40%
we only focused on this side.

00:38:20.732 --> 00:38:22.667 align:center line:-1 position:50% size:34%
It doesn't tell us anything
about what's happening

00:38:22.667 --> 00:38:25.937 align:center line:-1 position:50% size:38%
anywhere in the other areas
of the site.

00:38:25.937 --> 00:38:27.472 align:center line:-1 position:50% size:39%
So what we decided to do is

00:38:27.472 --> 00:38:29.140 align:center line:-1 position:50% size:37%
we decided to install
a wireless sensor network,

00:38:29.140 --> 00:38:31.609 align:center line:-1 position:50% size:42%
and you can see the sensor
network that we installed here.

00:38:31.609 --> 00:38:33.378 align:center line:-1 position:50% size:26%
So it's quite dense.

00:38:33.378 --> 00:38:34.746 align:center line:-1 position:50% size:35%
We have a lot of sensors.

00:38:34.746 --> 00:38:36.614 align:center line:-1 position:50% size:29%
We actually--
we have 18 locations

00:38:36.614 --> 00:38:40.552 align:center line:-1 position:50% size:44%
where we measure soil moisture
and suction

00:38:40.552 --> 00:38:41.719 align:center line:-1 position:50% size:34%
at three different depths,

00:38:41.719 --> 00:38:45.290 align:center line:-1 position:50% size:36%
at 10, 50,
and 30 centimeters depth.

00:38:45.290 --> 00:38:49.127 align:center line:-1 position:50% size:48%
And then, in addition,
we have some deformation probes

00:38:49.127 --> 00:38:53.031 align:center line:-1 position:50% size:24%
that I will explain
on the next slide.

00:38:53.031 --> 00:38:55.567 align:center line:-1 position:50% size:32%
We installed them
at 60 different locations

00:38:55.567 --> 00:38:58.036 align:center line:-1 position:50% size:37%
to get a good estimation
of where things are moving

00:38:58.036 --> 00:39:00.505 align:center line:-1 position:50% size:39%
and where things are stable.

00:39:00.505 --> 00:39:03.975 align:center line:-1 position:50% size:37%
So these probes,
they're actually pretty neat.

00:39:03.975 --> 00:39:07.445 align:center line:-1 position:50% size:41%
We basically built them
based on some developments

00:39:07.445 --> 00:39:08.913 align:center line:-1 position:50% size:22%
at Berkeley Lab

00:39:08.913 --> 00:39:12.083 align:center line:-1 position:50% size:43%
that were focused
on temperature measurements.

00:39:12.083 --> 00:39:14.953 align:center line:-1 position:50% size:39%
So we do quite a lot
of research also in the Arctic

00:39:14.953 --> 00:39:17.956 align:center line:-1 position:50% size:46%
and in mountainous environments
where it's very interesting

00:39:17.956 --> 00:39:21.326 align:center line:-1 position:50% size:37%
to see
what soil temperatures are

00:39:21.326 --> 00:39:23.261 align:center line:-1 position:50% size:37%
but also what, for instance,
snow temperatures are

00:39:23.261 --> 00:39:25.363 align:center line:-1 position:50% size:39%
because if you monitor them
over time,

00:39:25.363 --> 00:39:28.600 align:center line:-1 position:50% size:33%
you can estimate
soil hydraulic properties

00:39:28.600 --> 00:39:31.336 align:center line:-1 position:50% size:35%
but you can also estimate
snow properties.

00:39:31.336 --> 00:39:33.271 align:center line:-1 position:50% size:43%
Now, what we did in this project

00:39:33.271 --> 00:39:36.641 align:center line:-1 position:50% size:45%
is we also added
three-component accelerometers

00:39:36.641 --> 00:39:39.177 align:center line:-1 position:50% size:38%
to this probe,
and basically what we have

00:39:39.177 --> 00:39:42.847 align:center line:-1 position:50% size:36%
is now an alternating array
of temperature sensors

00:39:42.847 --> 00:39:47.452 align:center line:-1 position:50% size:47%
and then basically
a three-component accelerometer,

00:39:47.452 --> 00:39:49.454 align:center line:-1 position:50% size:31%
and we have this
every five centimeters.

00:39:49.454 --> 00:39:53.558 align:center line:-1 position:50% size:41%
So, every five centimeters,
we have a temperature probe,

00:39:53.558 --> 00:39:55.660 align:center line:-1 position:50% size:36%
then an accelerometer,
then a temperature probe.

00:39:55.660 --> 00:39:58.196 align:center line:-1 position:50% size:31%
So basically, we have
every ten centimeters,

00:39:58.196 --> 00:40:00.231 align:center line:-1 position:50% size:32%
then an accelerometer.

00:40:00.231 --> 00:40:02.500 align:center line:-1 position:50% size:31%
And these are all built
on these flexible PCBs

00:40:02.500 --> 00:40:04.202 align:center line:-1 position:50% size:26%
that I'll show
in the middle here.

00:40:04.202 --> 00:40:06.971 align:center line:-1 position:50% size:39%
And basically, they allow you
to really bend the probe

00:40:06.971 --> 00:40:08.373 align:center line:-1 position:50% size:26%
without it breaking,

00:40:08.373 --> 00:40:13.611 align:center line:-1 position:50% size:39%
and we get pretty nice
deformation data out of that.

00:40:13.611 --> 00:40:16.981 align:center line:-1 position:50% size:33%
So, so far,
we have built a modular

00:40:16.981 --> 00:40:19.284 align:center line:-1 position:50% size:36%
so that we can have them,
you know, any length

00:40:19.284 --> 00:40:22.153 align:center line:-1 position:50% size:30%
between, in our case,

00:40:22.153 --> 00:40:24.956 align:center line:-1 position:50% size:29%
20 centimeters
and 1.8 meter length,

00:40:24.956 --> 00:40:27.525 align:center line:-1 position:50% size:32%
and basically we limit it
to 1.8 meter length

00:40:27.525 --> 00:40:29.360 align:center line:-1 position:50% size:29%
because the way
we install them is just

00:40:29.360 --> 00:40:32.263 align:center line:-1 position:50% size:34%
we take a long drill bit,
we drill a hole in the soil,

00:40:32.263 --> 00:40:33.631 align:center line:-1 position:50% size:31%
then just slide them in.

00:40:33.631 --> 00:40:36.067 align:center line:-1 position:50% size:39%
This makes installation
super easy and super quick,

00:40:36.067 --> 00:40:37.669 align:center line:-1 position:50% size:37%
but if we would make them
longer,

00:40:37.669 --> 00:40:40.104 align:center line:-1 position:50% size:40%
it would just make installation
much more difficult.

00:40:40.104 --> 00:40:44.175 align:center line:-1 position:50% size:31%
And also, you know,
as at many other sites,

00:40:44.175 --> 00:40:45.943 align:center line:-1 position:50% size:41%
at Berkeley Lab,
you need a penetration permit

00:40:45.943 --> 00:40:47.278 align:center line:-1 position:50% size:27%
to do a lot of things,

00:40:47.278 --> 00:40:50.448 align:center line:-1 position:50% size:43%
so the bigger you make
your excavation or penetration,

00:40:50.448 --> 00:40:52.684 align:center line:-1 position:50% size:28%
the more paperwork
you have to file,

00:40:52.684 --> 00:40:55.720 align:center line:-1 position:50% size:36%
so this was also one way
of making it relatively easy

00:40:55.720 --> 00:40:58.089 align:center line:-1 position:50% size:29%
for us to install these.

00:40:58.089 --> 00:41:00.692 align:center line:-1 position:50% size:36%
We didn't only install them
in the field,

00:41:00.692 --> 00:41:03.194 align:center line:-1 position:50% size:39%
we also tested them in a lab,
and what we found is that

00:41:03.194 --> 00:41:06.097 align:center line:-1 position:50% size:33%
we have an accuracy
of about two millimeters

00:41:06.097 --> 00:41:07.598 align:center line:-1 position:50% size:27%
per meter of probe,

00:41:07.598 --> 00:41:09.867 align:center line:-1 position:50% size:33%
but also we have
submillimeter sensitivity,

00:41:09.867 --> 00:41:14.972 align:center line:-1 position:50% size:40%
and we can see this
in this plot in the middle here

00:41:14.972 --> 00:41:19.677 align:center line:-1 position:50% size:40%
where I just, you know,
very slightly moved the probe

00:41:19.677 --> 00:41:24.449 align:center line:-1 position:50% size:38%
and looked at the change
in basically the sat location.

00:41:24.449 --> 00:41:26.084 align:center line:-1 position:50% size:27%
In this case,
this was really little,

00:41:26.084 --> 00:41:29.120 align:center line:-1 position:50% size:36%
so you have less than
a millimeter of movement,

00:41:29.120 --> 00:41:32.323 align:center line:-1 position:50% size:40%
but even though you may not
be able to really resolve

00:41:32.323 --> 00:41:34.659 align:center line:-1 position:50% size:34%
how much it's moving,
you really get every time

00:41:34.659 --> 00:41:36.060 align:center line:-1 position:50% size:26%
when the probe
is actually moving,

00:41:36.060 --> 00:41:40.531 align:center line:-1 position:50% size:36%
so you have submillimeter
sensitivity in this case.

00:41:40.531 --> 00:41:44.068 align:center line:-1 position:50% size:36%
And then, the system itself
has a logger, of course,

00:41:44.068 --> 00:41:46.938 align:center line:-1 position:50% size:40%
which is also very low power,
so the entire system,

00:41:46.938 --> 00:41:49.741 align:center line:-1 position:50% size:40%
including logger,
operates off two AA batteries,

00:41:49.741 --> 00:41:53.311 align:center line:-1 position:50% size:31%
and if we don't turn on
data transmission,

00:41:53.311 --> 00:41:55.847 align:center line:-1 position:50% size:41%
the system should be running,
you know,

00:41:55.847 --> 00:41:58.750 align:center line:-1 position:50% size:32%
at five-minute sampling
for about three years

00:41:58.750 --> 00:42:01.552 align:center line:-1 position:50% size:36%
on these two AA batteries.

00:42:01.552 --> 00:42:04.555 align:center line:-1 position:50% size:47%
If we enable LoRa communication
that we have on it,

00:42:04.555 --> 00:42:08.893 align:center line:-1 position:50% size:42%
so long-range communication,
this battery life decreases,

00:42:08.893 --> 00:42:11.262 align:center line:-1 position:50% size:35%
but because we came up

00:42:11.262 --> 00:42:13.464 align:center line:-1 position:50% size:41%
with some good
data compression techniques,

00:42:13.464 --> 00:42:15.433 align:center line:-1 position:50% size:38%
and also
we are not using LoRaWAN

00:42:15.433 --> 00:42:18.269 align:center line:-1 position:50% size:45%
but we are using
our own communication protocol,

00:42:18.269 --> 00:42:21.305 align:center line:-1 position:50% size:35%
still we have a battery life
of about 1.5 years

00:42:21.305 --> 00:42:24.308 align:center line:-1 position:50% size:44%
off two AA batteries even though
they're transmitting.

00:42:24.308 --> 00:42:28.513 align:center line:-1 position:50% size:44%
So, we deployed quite a number
of them at Berkeley Lab,

00:42:28.513 --> 00:42:31.115 align:center line:-1 position:50% size:37%
but we also deployed them
in the Arctic

00:42:31.115 --> 00:42:34.685 align:center line:-1 position:50% size:40%
because it's a good example
and also it's a good test case

00:42:34.685 --> 00:42:37.321 align:center line:-1 position:50% size:35%
because, in the Arctic,
what you would expect is

00:42:37.321 --> 00:42:39.791 align:center line:-1 position:50% size:46%
where you have frozen ground,
that's where nothing should move

00:42:39.791 --> 00:42:42.527 align:center line:-1 position:50% size:35%
because it's pretty--
well, it's frozen into place,

00:42:42.527 --> 00:42:44.028 align:center line:-1 position:50% size:28%
and where you have
unfrozen ground

00:42:44.028 --> 00:42:46.230 align:center line:-1 position:50% size:47%
is where it should move,
and these are just some examples

00:42:46.230 --> 00:42:48.032 align:center line:-1 position:50% size:35%
of this here
where we can see, really,

00:42:48.032 --> 00:42:49.901 align:center line:-1 position:50% size:35%
that in the frozen ground,
nothing moves,

00:42:49.901 --> 00:42:51.769 align:center line:-1 position:50% size:33%
but as soon as we're
on the unfrozen ground,

00:42:51.769 --> 00:42:54.572 align:center line:-1 position:50% size:32%
we get movements
of about ten millimeters

00:42:54.572 --> 00:42:56.874 align:center line:-1 position:50% size:42%
in the period
of about five days in this case.

00:42:56.874 --> 00:42:59.544 align:center line:-1 position:50% size:40%
So, really, these probes work
very nicely

00:42:59.544 --> 00:43:04.148 align:center line:-1 position:50% size:36%
to get your soil information
(unintelligible).

00:43:04.148 --> 00:43:06.184 align:center line:-1 position:50% size:42%
So the data
from these deformation probes

00:43:06.184 --> 00:43:08.453 align:center line:-1 position:50% size:40%
and the soil moisture sensors
is then transmitted

00:43:08.453 --> 00:43:10.588 align:center line:-1 position:50% size:36%
via LoRa to a base station

00:43:10.588 --> 00:43:14.158 align:center line:-1 position:50% size:30%
which receives
and decodes the data

00:43:14.158 --> 00:43:17.862 align:center line:-1 position:50% size:29%
and then passes it
to an Influx database

00:43:17.862 --> 00:43:19.464 align:center line:-1 position:50% size:47%
which is an open-source database

00:43:19.464 --> 00:43:21.866 align:center line:-1 position:50% size:39%
that has been
specifically designed to work

00:43:21.866 --> 00:43:24.735 align:center line:-1 position:50% size:30%
with time series data,
so really handy for us.

00:43:24.735 --> 00:43:27.839 align:center line:-1 position:50% size:33%
And, yeah, we have this
in the field

00:43:27.839 --> 00:43:31.642 align:center line:-1 position:50% size:34%
and it's operational now
since February last year,

00:43:31.642 --> 00:43:33.744 align:center line:-1 position:50% size:25%
and so we have
quite a lot of data,

00:43:33.744 --> 00:43:36.113 align:center line:-1 position:50% size:28%
also because before
we actually installed

00:43:36.113 --> 00:43:38.783 align:center line:-1 position:50% size:44%
all the LoRa connectivity,
some probes were already there

00:43:38.783 --> 00:43:40.918 align:center line:-1 position:50% size:28%
since October 2019.

00:43:40.918 --> 00:43:42.920 align:center line:-1 position:50% size:29%
So quite a lot of data
that we have,

00:43:42.920 --> 00:43:47.692 align:center line:-1 position:50% size:41%
and all of this data
is now being fed into Grafana,

00:43:47.692 --> 00:43:50.094 align:center line:-1 position:50% size:34%
which is an open-source
browser application

00:43:50.094 --> 00:43:53.064 align:center line:-1 position:50% size:32%
that we're using
to visualize all the data,

00:43:53.064 --> 00:43:56.434 align:center line:-1 position:50% size:36%
but unfortunately,
this needs a user account,

00:43:56.434 --> 00:43:58.703 align:center line:-1 position:50% size:35%
so it's not a public service
right now,

00:43:58.703 --> 00:44:01.239 align:center line:-1 position:50% size:31%
but we're also working
on a public data portal

00:44:01.239 --> 00:44:02.974 align:center line:-1 position:50% size:23%
so that everyone
can get access

00:44:02.974 --> 00:44:04.675 align:center line:-1 position:50% size:28%
to the data
that we're acquiring.

00:44:04.675 --> 00:44:08.779 align:center line:-1 position:50% size:21%
And, you know,
just to reiterate

00:44:08.779 --> 00:44:11.749 align:center line:-1 position:50% size:33%
that, you know, changes
in soil moisture

00:44:11.749 --> 00:44:13.718 align:center line:-1 position:50% size:42%
and pore pressure really make
a difference at this site,

00:44:13.718 --> 00:44:16.487 align:center line:-1 position:50% size:44%
so here we see some examples
of the data that we acquired.

00:44:16.487 --> 00:44:18.723 align:center line:-1 position:50% size:31%
So on the top,
we see just some data

00:44:18.723 --> 00:44:21.859 align:center line:-1 position:50% size:35%
from the suction sensors,
we see water potential

00:44:21.859 --> 00:44:24.595 align:center line:-1 position:50% size:36%
which shows the response
after one rainfall event

00:44:24.595 --> 00:44:27.965 align:center line:-1 position:50% size:35%
that we had in April 2022,
so last year

00:44:27.965 --> 00:44:31.002 align:center line:-1 position:50% size:28%
where we had a rise
in pore pressure

00:44:31.002 --> 00:44:33.070 align:center line:-1 position:50% size:42%
that then caused
the displacement, in this case,

00:44:33.070 --> 00:44:34.472 align:center line:-1 position:50% size:30%
of just one centimeter.

00:44:34.472 --> 00:44:38.276 align:center line:-1 position:50% size:30%
So, clearly, you know,
a little bit of change

00:44:38.276 --> 00:44:42.246 align:center line:-1 position:50% size:43%
in the hydrology in this case
causes quite a bit of movement

00:44:42.246 --> 00:44:45.149 align:center line:-1 position:50% size:38%
of at least the very shallows
of surface.

00:44:45.149 --> 00:44:47.585 align:center line:-1 position:50% size:29%
And so, just because
you may have heard

00:44:47.585 --> 00:44:49.987 align:center line:-1 position:50% size:41%
that we had pretty bad storms
in the Bay Area

00:44:49.987 --> 00:44:53.958 align:center line:-1 position:50% size:35%
or, you know, almost all
of Western United States

00:44:53.958 --> 00:44:56.260 align:center line:-1 position:50% size:29%
in the last few weeks
and months,

00:44:56.260 --> 00:44:58.729 align:center line:-1 position:50% size:42%
here's some of the data that
we acquired during this period.

00:44:58.729 --> 00:45:00.998 align:center line:-1 position:50% size:26%
So we're starting
in December 2022,

00:45:00.998 --> 00:45:02.667 align:center line:-1 position:50% size:32%
and basically
what we're seeing here

00:45:02.667 --> 00:45:04.502 align:center line:-1 position:50% size:25%
is the interpolated
moisture content,

00:45:04.502 --> 00:45:07.939 align:center line:-1 position:50% size:43%
and the moisture sensors are
shown here in these diamonds,

00:45:07.939 --> 00:45:10.608 align:center line:-1 position:50% size:35%
and then we can also see
the recorded deformation

00:45:10.608 --> 00:45:14.912 align:center line:-1 position:50% size:25%
that is shown
in these dots here

00:45:14.912 --> 00:45:18.816 align:center line:-1 position:50% size:47%
where the more red they become,
the more movement they've seen.

00:45:18.816 --> 00:45:20.284 align:center line:-1 position:50% size:31%
Basically,
we start in September,

00:45:20.284 --> 00:45:21.786 align:center line:-1 position:50% size:43%
so there's not much movement,

00:45:21.786 --> 00:45:24.288 align:center line:-1 position:50% size:43%
there's not much
moisture content in the ground.

00:45:24.288 --> 00:45:26.991 align:center line:-1 position:50% size:34%
Most of it is actually less
than five percent.

00:45:26.991 --> 00:45:29.627 align:center line:-1 position:50% size:28%
We get into October,
still no change.

00:45:29.627 --> 00:45:31.529 align:center line:-1 position:50% size:24%
We see a little bit
of creep here,

00:45:31.529 --> 00:45:37.301 align:center line:-1 position:50% size:42%
which is just some of the creep
in the eastern part of the area

00:45:37.301 --> 00:45:40.571 align:center line:-1 position:50% size:31%
where we just have
a constant bit of creep

00:45:40.571 --> 00:45:43.608 align:center line:-1 position:50% size:31%
and it's also
the old landslide sites.

00:45:43.608 --> 00:45:46.677 align:center line:-1 position:50% size:38%
Then if we go to November,

00:45:46.677 --> 00:45:48.846 align:center line:-1 position:50% size:38%
that's where we already got
a few rains.

00:45:48.846 --> 00:45:50.715 align:center line:-1 position:50% size:45%
We see that the moisture content
is slightly increasing,

00:45:50.715 --> 00:45:53.351 align:center line:-1 position:50% size:46%
but still there's not much,
there's also not much movement.

00:45:53.351 --> 00:45:55.152 align:center line:-1 position:50% size:39%
Now if we go into December,

00:45:55.152 --> 00:45:58.689 align:center line:-1 position:50% size:37%
that's when we had quite
a number of rainfall events,

00:45:58.689 --> 00:46:01.325 align:center line:-1 position:50% size:40%
and we see that, you know,
the moisture content is rising.

00:46:01.325 --> 00:46:04.428 align:center line:-1 position:50% size:34%
We see now
some more deformation,

00:46:04.428 --> 00:46:06.097 align:center line:-1 position:50% size:31%
especially in this area.

00:46:06.097 --> 00:46:08.065 align:center line:-1 position:50% size:40%
And now if we go to January,

00:46:08.065 --> 00:46:11.202 align:center line:-1 position:50% size:36%
we really see how the site
has completely saturated.

00:46:11.202 --> 00:46:12.870 align:center line:-1 position:50% size:31%
Everything is basically
fully saturated.

00:46:12.870 --> 00:46:14.772 align:center line:-1 position:50% size:42%
The variation that we see here
is just changes

00:46:14.772 --> 00:46:17.041 align:center line:-1 position:50% size:39%
in the porosity of the soil
which basically doesn't allow

00:46:17.041 --> 00:46:20.144 align:center line:-1 position:50% size:38%
for higher moisture content,
but we can also see

00:46:20.144 --> 00:46:23.848 align:center line:-1 position:50% size:36%
very high movement rates
up to seven centimeters.

00:46:23.848 --> 00:46:26.617 align:center line:-1 position:50% size:32%
And give it a bit of time.

00:46:26.617 --> 00:46:28.819 align:center line:-1 position:50% size:35%
Now we had a few weeks
without much rain,

00:46:28.819 --> 00:46:30.888 align:center line:-1 position:50% size:34%
actually moisture content
decreased again,

00:46:30.888 --> 00:46:34.125 align:center line:-1 position:50% size:39%
but, yeah, things had moved
by then already,

00:46:34.125 --> 00:46:36.360 align:center line:-1 position:50% size:31%
and we see again that,
in some areas,

00:46:36.360 --> 00:46:39.964 align:center line:-1 position:50% size:42%
we see higher movement rates
on the top of the slope

00:46:39.964 --> 00:46:42.466 align:center line:-1 position:50% size:43%
and then lower movement rates
at the bottom,

00:46:42.466 --> 00:46:44.802 align:center line:-1 position:50% size:34%
and we can also see this
in, for instance,

00:46:44.802 --> 00:46:47.371 align:center line:-1 position:50% size:37%
the western part of the site.

00:46:47.371 --> 00:46:51.042 align:center line:-1 position:50% size:34%
And then if you look
at the Grafana interface,

00:46:51.042 --> 00:46:52.343 align:center line:-1 position:50% size:32%
that's what it looks like.

00:46:52.343 --> 00:46:55.146 align:center line:-1 position:50% size:42%
And we see, here,
we just plot the pore pressure,

00:46:55.146 --> 00:46:56.547 align:center line:-1 position:50% size:34%
and basically, red is that,

00:46:56.547 --> 00:46:59.784 align:center line:-1 position:50% size:34%
and almost all of the site
is still in that condition

00:46:59.784 --> 00:47:02.386 align:center line:-1 position:50% size:41%
where we have very high
pore pressure across the site,

00:47:02.386 --> 00:47:04.955 align:center line:-1 position:50% size:42%
and then, here we also see
the moisture content recorded,

00:47:04.955 --> 00:47:08.059 align:center line:-1 position:50% size:43%
and especially in January,
we see how every rainfall event

00:47:08.059 --> 00:47:10.628 align:center line:-1 position:50% size:28%
really leads to a rise
in pore pressure,

00:47:10.628 --> 00:47:13.197 align:center line:-1 position:50% size:40%
which basically is just
the height that the rain brings

00:47:13.197 --> 00:47:18.269 align:center line:-1 position:50% size:41%
just gives rise
to the moisture content again.

00:47:18.269 --> 00:47:21.839 align:center line:-1 position:50% size:38%
And just to kind of finish up,

00:47:21.839 --> 00:47:24.141 align:center line:-1 position:50% size:39%
I want to show you a little bit
of the work that we're doing

00:47:24.141 --> 00:47:26.577 align:center line:-1 position:50% size:45%
with regards to machine learning
and prediction.

00:47:26.577 --> 00:47:29.280 align:center line:-1 position:50% size:43%
So, what we're trying to do here

00:47:29.280 --> 00:47:31.816 align:center line:-1 position:50% size:33%
is basically we try
to use machine learning

00:47:31.816 --> 00:47:34.685 align:center line:-1 position:50% size:31%
to predict what's going
to happen in the future

00:47:34.685 --> 00:47:38.022 align:center line:-1 position:50% size:40%
to basically make
this sensor network adaptive,

00:47:38.022 --> 00:47:43.728 align:center line:-1 position:50% size:34%
so to basically save data
and basically record

00:47:43.728 --> 00:47:46.964 align:center line:-1 position:50% size:36%
in small sampling intervals
when nothing's happening

00:47:46.964 --> 00:47:49.166 align:center line:-1 position:50% size:37%
but then increase
the sampling automatically

00:47:49.166 --> 00:47:51.035 align:center line:-1 position:50% size:35%
when we expect changes
to happen.

00:47:51.035 --> 00:47:52.470 align:center line:-1 position:50% size:34%
And then the other thing,
of course,

00:47:52.470 --> 00:47:54.438 align:center line:-1 position:50% size:29%
is trying to predict
further into the future

00:47:54.438 --> 00:47:56.640 align:center line:-1 position:50% size:36%
to provide
some more early warning.

00:47:56.640 --> 00:47:58.843 align:center line:-1 position:50% size:34%
That's what we did here.

00:47:58.843 --> 00:48:02.179 align:center line:-1 position:50% size:42%
So we tested two approaches,

00:48:02.179 --> 00:48:03.981 align:center line:-1 position:50% size:24%
first predicting
the next one hour

00:48:03.981 --> 00:48:05.649 align:center line:-1 position:50% size:44%
based on the previous 24 hours,

00:48:05.649 --> 00:48:08.085 align:center line:-1 position:50% size:31%
and second we predict
the next 12 hours

00:48:08.085 --> 00:48:11.722 align:center line:-1 position:50% size:37%
based on the prior 14 days
of data.

00:48:11.722 --> 00:48:13.424 align:center line:-1 position:50% size:33%
And here in these plots,

00:48:13.424 --> 00:48:16.060 align:center line:-1 position:50% size:30%
basically,
blue is the input data,

00:48:16.060 --> 00:48:21.332 align:center line:-1 position:50% size:38%
green is the true data,
and yellow is the prediction.

00:48:21.332 --> 00:48:25.803 align:center line:-1 position:50% size:34%
And what we use for it
is a one-year time series

00:48:25.803 --> 00:48:28.139 align:center line:-1 position:50% size:32%
of actual
and antecedent rainfall,

00:48:28.139 --> 00:48:30.007 align:center line:-1 position:50% size:28%
we use temperature,
relative humidity,

00:48:30.007 --> 00:48:33.677 align:center line:-1 position:50% size:34%
and barometric pressure
just as the, you know,

00:48:33.677 --> 00:48:36.847 align:center line:-1 position:50% size:42%
kind of parameters that we use
to train the model,

00:48:36.847 --> 00:48:38.849 align:center line:-1 position:50% size:32%
and then we can see
that actually the results

00:48:38.849 --> 00:48:41.185 align:center line:-1 position:50% size:40%
are pretty good for predicting
just one hour,

00:48:41.185 --> 00:48:45.089 align:center line:-1 position:50% size:39%
so we're usually pretty close
to the actual value,

00:48:45.089 --> 00:48:47.158 align:center line:-1 position:50% size:29%
so we have very high
prediction accuracy,

00:48:47.158 --> 00:48:49.827 align:center line:-1 position:50% size:34%
but then if we look
at longer-term forecasts,

00:48:49.827 --> 00:48:53.130 align:center line:-1 position:50% size:30%
in this case, 12 hours,
it's good if we have

00:48:53.130 --> 00:48:55.766 align:center line:-1 position:50% size:32%
just gradation changes,
as for instance, here.

00:48:55.766 --> 00:48:58.202 align:center line:-1 position:50% size:34%
So we see that, yeah,
prediction is pretty good,

00:48:58.202 --> 00:49:00.938 align:center line:-1 position:50% size:36%
but it's pretty poor
if we have sudden events.

00:49:00.938 --> 00:49:03.941 align:center line:-1 position:50% size:41%
So where we have sudden
increases in moisture content,

00:49:03.941 --> 00:49:06.177 align:center line:-1 position:50% size:45%
it really doesn't work,
and that's mostly because, here,

00:49:06.177 --> 00:49:07.778 align:center line:-1 position:50% size:28%
we just trained
on one year of data,

00:49:07.778 --> 00:49:10.648 align:center line:-1 position:50% size:44%
and one year of data where
we only had three storm events,

00:49:10.648 --> 00:49:12.616 align:center line:-1 position:50% size:31%
so really there was
not much data to train,

00:49:12.616 --> 00:49:15.085 align:center line:-1 position:50% size:35%
especially for these kinds
of sudden events.

00:49:15.085 --> 00:49:17.755 align:center line:-1 position:50% size:42%
So, we think here that we have
sufficient accuracy

00:49:17.755 --> 00:49:20.658 align:center line:-1 position:50% size:42%
for adaptive sensing strategies
but really we need more data

00:49:20.658 --> 00:49:23.227 align:center line:-1 position:50% size:36%
to predict more accurately
in the future,

00:49:23.227 --> 00:49:26.597 align:center line:-1 position:50% size:31%
and that's also what
recent papers all show

00:49:26.597 --> 00:49:29.567 align:center line:-1 position:50% size:31%
that if you want to do
a long-term prediction,

00:49:29.567 --> 00:49:31.936 align:center line:-1 position:50% size:30%
usually it doesn't work
that well

00:49:31.936 --> 00:49:33.804 align:center line:-1 position:50% size:30%
and the accuracy
isn't particularly good,

00:49:33.804 --> 00:49:35.406 align:center line:-1 position:50% size:26%
and that's probably
because you need

00:49:35.406 --> 00:49:37.308 align:center line:-1 position:50% size:32%
quite a long time series
to actually cover

00:49:37.308 --> 00:49:38.909 align:center line:-1 position:50% size:30%
these extreme events
that then cause,

00:49:38.909 --> 00:49:40.678 align:center line:-1 position:50% size:30%
especially, landslides.

00:49:40.678 --> 00:49:42.913 align:center line:-1 position:50% size:36%
And just before I finish up,

00:49:42.913 --> 00:49:45.249 align:center line:-1 position:50% size:44%
I want to show you also
some of the data from the Arctic

00:49:45.249 --> 00:49:47.885 align:center line:-1 position:50% size:33%
just because, you know,
in Berkeley,

00:49:47.885 --> 00:49:51.322 align:center line:-1 position:50% size:36%
we saw seven centimeters
of movement, so not a lot.

00:49:51.322 --> 00:49:55.092 align:center line:-1 position:50% size:31%
Here we actually see--
well, in this case,

00:49:55.092 --> 00:49:58.462 align:center line:-1 position:50% size:41%
it's only showing until
five centimeters of movement,

00:49:58.462 --> 00:50:00.464 align:center line:-1 position:50% size:29%
but we can see
from these plots here

00:50:00.464 --> 00:50:03.200 align:center line:-1 position:50% size:44%
that we actually see up to 30
or 40 centimeters of movement.

00:50:03.200 --> 00:50:05.569 align:center line:-1 position:50% size:40%
So here, really, we have a lot
of movement in the Arctic,

00:50:05.569 --> 00:50:07.738 align:center line:-1 position:50% size:40%
and what I thought
is very nice to show you here

00:50:07.738 --> 00:50:11.408 align:center line:-1 position:50% size:32%
is also why having
co-located temperature

00:50:11.408 --> 00:50:13.878 align:center line:-1 position:50% size:44%
and deformation measurements
make a lot of sense,

00:50:13.878 --> 00:50:15.980 align:center line:-1 position:50% size:34%
because here, of course,
we are in an area

00:50:15.980 --> 00:50:18.782 align:center line:-1 position:50% size:45%
where we have permafrost,
where we have unfrozen ground,

00:50:18.782 --> 00:50:21.185 align:center line:-1 position:50% size:41%
and as I've already said
earlier, what we would expect

00:50:21.185 --> 00:50:23.487 align:center line:-1 position:50% size:35%
is that nothing's changing
in the frozen ground

00:50:23.487 --> 00:50:26.390 align:center line:-1 position:50% size:46%
but that we see mostly movement
in the unfrozen ground,

00:50:26.390 --> 00:50:28.525 align:center line:-1 position:50% size:30%
but it's something
that you would expect

00:50:28.525 --> 00:50:31.428 align:center line:-1 position:50% size:44%
but is very difficult to show
except if you have these probes

00:50:31.428 --> 00:50:35.332 align:center line:-1 position:50% size:40%
because what we see now is
basically that we have

00:50:35.332 --> 00:50:38.469 align:center line:-1 position:50% size:44%
most of the movement occurring
exactly at this interface

00:50:38.469 --> 00:50:40.337 align:center line:-1 position:50% size:30%
between the unfrozen
and frozen ground,

00:50:40.337 --> 00:50:42.273 align:center line:-1 position:50% size:28%
which is shown here
just by the change

00:50:42.273 --> 00:50:44.341 align:center line:-1 position:50% size:29%
in the angle
of the accelerometer,

00:50:44.341 --> 00:50:48.445 align:center line:-1 position:50% size:44%
so that's the gradient of the
measured accelerometer rating,

00:50:48.445 --> 00:50:53.083 align:center line:-1 position:50% size:40%
and it shows really nicely
how basically the slip surface

00:50:53.083 --> 00:50:55.119 align:center line:-1 position:50% size:25%
follows very nicely
this interface

00:50:55.119 --> 00:50:57.588 align:center line:-1 position:50% size:35%
between the frozen
and the unfrozen ground.

00:50:57.588 --> 00:50:58.923 align:center line:-1 position:50% size:41%
And this brings me to the end.

00:50:58.923 --> 00:51:00.591 align:center line:-1 position:50% size:30%
So what I was hoping
to show here

00:51:00.591 --> 00:51:02.693 align:center line:-1 position:50% size:33%
is basically an approach
that we're working on

00:51:02.693 --> 00:51:05.396 align:center line:-1 position:50% size:38%
that tries to integrate
various sensing techniques,

00:51:05.396 --> 00:51:07.231 align:center line:-1 position:50% size:44%
so we integrate remote sensing,

00:51:07.231 --> 00:51:09.300 align:center line:-1 position:50% size:40%
geophysical
and environmental modeling,

00:51:09.300 --> 00:51:11.535 align:center line:-1 position:50% size:40%
with hydrological
and geomechanical modeling

00:51:11.535 --> 00:51:13.938 align:center line:-1 position:50% size:41%
to get to
a factor of safety assessment.

00:51:13.938 --> 00:51:16.473 align:center line:-1 position:50% size:39%
Of course,
this still needs development.

00:51:16.473 --> 00:51:20.044 align:center line:-1 position:50% size:37%
So far, what I've shown
is mostly a characterization

00:51:20.044 --> 00:51:23.480 align:center line:-1 position:50% size:39%
of the site using a combined
hydro-geomechanical model

00:51:23.480 --> 00:51:26.116 align:center line:-1 position:50% size:41%
and some very simple models

00:51:26.116 --> 00:51:29.286 align:center line:-1 position:50% size:43%
where we integrate geophysics
with environmental monitoring

00:51:29.286 --> 00:51:31.555 align:center line:-1 position:50% size:30%
to, for instance, track
the groundwater table

00:51:31.555 --> 00:51:33.524 align:center line:-1 position:50% size:36%
and see how this changes
the factor of safety.

00:51:33.524 --> 00:51:35.125 align:center line:-1 position:50% size:23%
But really where
we want to go to

00:51:35.125 --> 00:51:36.627 align:center line:-1 position:50% size:30%
is take all of this data,

00:51:36.627 --> 00:51:39.496 align:center line:-1 position:50% size:37%
take the 3D distribution
of the different parameters,

00:51:39.496 --> 00:51:41.799 align:center line:-1 position:50% size:34%
and get really
a nice 3D representation

00:51:41.799 --> 00:51:44.001 align:center line:-1 position:50% size:30%
of the factor of safety.

00:51:44.001 --> 00:51:47.671 align:center line:-1 position:50% size:42%
What we're still working on
in terms of the sensor network

00:51:47.671 --> 00:51:49.740 align:center line:-1 position:50% size:31%
and so on is that
it's a public data portal

00:51:49.740 --> 00:51:51.308 align:center line:-1 position:50% size:25%
so that everybody
can access it,

00:51:51.308 --> 00:51:54.712 align:center line:-1 position:50% size:47%
and we're also still working on
some machine learning algorithms

00:51:54.712 --> 00:51:59.817 align:center line:-1 position:50% size:39%
that maybe could avoid
doing this kind of framework

00:51:59.817 --> 00:52:01.418 align:center line:-1 position:50% size:30%
where you first do
all the measurements

00:52:01.418 --> 00:52:03.787 align:center line:-1 position:50% size:38%
then run the models,
where maybe we could just,

00:52:03.787 --> 00:52:05.656 align:center line:-1 position:50% size:37%
you know,
run the models beforehand

00:52:05.656 --> 00:52:09.793 align:center line:-1 position:50% size:34%
on a set of scenarios
and then use this to train

00:52:09.793 --> 00:52:12.062 align:center line:-1 position:50% size:36%
a machine learning model
to actually then assess

00:52:12.062 --> 00:52:14.465 align:center line:-1 position:50% size:36%
what our field data means
basically in real time

00:52:14.465 --> 00:52:17.334 align:center line:-1 position:50% size:30%
without having a need
to run these models.

00:52:17.334 --> 00:52:19.470 align:center line:-1 position:50% size:35%
And one thing that's nice,
you know,

00:52:19.470 --> 00:52:21.905 align:center line:-1 position:50% size:38%
all this work at first
was just a research project,

00:52:21.905 --> 00:52:23.841 align:center line:-1 position:50% size:25%
but actually now
it's being taken up

00:52:23.841 --> 00:52:26.076 align:center line:-1 position:50% size:33%
by the site management
of Berkeley Lab

00:52:26.076 --> 00:52:30.414 align:center line:-1 position:50% size:35%
which is taking our data
and is actually, you know,

00:52:30.414 --> 00:52:31.915 align:center line:-1 position:50% size:31%
is asking us what to do

00:52:31.915 --> 00:52:36.720 align:center line:-1 position:50% size:37%
and how to try and mitigate
the landslide hazard

00:52:36.720 --> 00:52:41.392 align:center line:-1 position:50% size:45%
and asking us where do we have
a very high hazard,

00:52:41.392 --> 00:52:43.127 align:center line:-1 position:50% size:39%
where is the hazard smaller,

00:52:43.127 --> 00:52:45.963 align:center line:-1 position:50% size:36%
what was now the impact
of the storms that we saw,

00:52:45.963 --> 00:52:47.965 align:center line:-1 position:50% size:35%
and so on, so really
we're starting to integrate

00:52:47.965 --> 00:52:51.535 align:center line:-1 position:50% size:39%
the data that we're gathering
into the site response

00:52:51.535 --> 00:52:53.170 align:center line:-1 position:50% size:15%
at this site.

00:52:53.170 --> 00:52:55.339 align:center line:-1 position:50% size:27%
And, yeah, that's all
I want to talk about.

00:52:55.339 --> 00:52:57.107 align:center line:-1 position:50% size:33%
So thank you very much
for your attention,

00:52:57.107 --> 00:52:59.309 align:center line:-1 position:50% size:42%
and if you have any questions,
I'd be very happy

00:52:59.309 --> 00:53:01.111 align:center line:-1 position:50% size:22%
to answer them,
and if not now,

00:53:01.111 --> 00:53:03.981 align:center line:-1 position:50% size:32%
just send me an email
and I'll get back to you.

