﻿WEBVTT

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This lesson will cover stream flow

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estimates and NHD, plus high resolution.

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Enhanced runoff method or EROM,

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is the method used to compute estimates

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of the mean annual flow from the

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NHD plus flowline features in the

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NHD plus high resolution network.

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The flow in cubic feet per second

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reflects the average annual flow

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from 1971 to 2000 time period.

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Flow and velocity estimates are

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important parts of the NHD plus

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high resolution package and are

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included for all network flow lines.

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This allows the NHD plus high

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resolution to be used in riverine

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fate and transport models.

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Models which simulate the movement

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of contaminants as they move

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through the River network.

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This presentation covers the basics of

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how flow rate estimates are calculated.

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The NHD plus high resolution packages

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are delivered in a geodatabase.

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Each geodatabase represents a vector

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processing unit or VPU. NHD plus high

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resolution flow rates are calculated

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for all network flow lines in a VPU.

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There are many tables

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included in the geodatabase.

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We will consider the following

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tables in this presentation.

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The first table is that NHD plus

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EROM MA or EROM mean annual table.

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This is the table that contains flow

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estimates for all NHD flowline features

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in the NHD plus high resolution network.

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The second table is the NHD plus EROM QAMA,

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or EROM quality assurance

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mean annual table.

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This table contains the gauge and EROM

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flows for users to do their own analysis.

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The file layout is designed to facilitate

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graphical and statistical analysis.

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It's useful for users who want

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to look at graphs or additional

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statistics about the stream.

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gages used in the flow estimates.

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The third table is the NHD plus EROM QA

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report or the EROM Quality Assurance report.

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This report contains comparisons

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of the EROM flow estimates on the

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observed flows from real stream gauges.

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The report is stored as a table.

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Note that no example is shown.

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The first table we will discuss is

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the NHD plus EROM mean annual table.

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As you can see,

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the table has many attributes we will

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cover just the five highlighted fields.

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The first is the QAMA the alias for this field is FlowEstARunoffMA

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this field is Flo asked a runoff MA

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or Flow Estimate A Runoff Mean Annual.

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This is the initial estimate of the flow.

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Second is QBMA.

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The alias for this field is

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FlowEstBExcessETMA or flow estimate

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B Excess Evapotranspiration Mean Annual.

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Q is a variable in hydrology

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equations that stands for discharge,

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which is why you're seeing Q

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in the field name.

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The third relevant field is QCMA

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alias FlowEstCRefGageRegressMA.

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Or Flow Estimate

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C Reference Gage Regression

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Mean Annual. Fourth is QDMA, alias Flow

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FlowEstDAdditionRemovalMA or Flow Estimate

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D Edition Removal Mean Annual.

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Finally,

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QEMA alias FlowEstEGageAdjustedMA

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or Flow Estimate E Gage Adjusted

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Mean Annual.

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Each of these five fields represents

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an iteration to refine the accuracy of

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the estimated flow for the flow line.

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Let's walk through a real world example

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to illustrate how each of the five

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fields refines the flow estimate.

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The explanation for estimates of flow

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is broken down into steps A through F.

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Steps A and B compute natural flow steps,

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C, D, and E adjust natural flow values

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based on observed gage data

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and known flow transfers.

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Step F performs QAQC analysis.

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The image on the slide

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shows the drainage basin

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for Pitkin Creek a Creek 5 miles

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West of Vail Ski Resort in Colorado.

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Note the catchments of all the

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flow lines have been aggregated so

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you can see the entire drainage of

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Pitkin Creek in pink locations of

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stream gauges are shown as red dots.

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In step a,

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initial estimates of mean annual

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flow are based on a grid from a flow

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balanced model of surface runoff

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published by McCabe and Wolock

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in 2011 each 900 meter by 900 meter.

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Grid cell symbolizes natural runoff or

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mean water year runoff in millimeters.

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Zooming into Pitkin Creek drainage you can

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see the individual run off grid cells.

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The flow rates for each of the flow lines

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are captured in QAMA. Flow Estimate

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A Runoff Mean Annual. In this and

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following screenshots only the

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record for the most downstream flow

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line of Picking Creek is shown.

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The QAMA attribute is shown in yellow

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on the far left. 6.1 cubic feet per second.

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In step A, the runoff rasters overlaid with

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the NHD plus high resolution catchments

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to compute runoff within each catchment.

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The catchment runoff values are

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conservatively routed downstream to arrive

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at the first estimate of streamflows for

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each networked NHD flowline feature.

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The flow estimate represents the flow

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at the bottom of each flow line.

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Step B represents adjustments for losses

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due to excessive Evapotranspiration.

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This method, developed by McCabe and Wolock,

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considers the total available water in

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a given catchment to compute additional

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losses due to evapotranspiration.

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Evapotranspiration losses can exceed the

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total available water in a catchment,

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resulting in a net loss and stream flow.

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This loss of instream flow is a

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significant observed phenomenon, especially

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 in arid areas West of the Mississippi River.

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Estimates of losses made in this

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step or subtracted from the flow

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estimates and are stored in QBMA.

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Flow Estimate B Excess Evapotranspiration mean annual.

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This estimate gets us a little

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bit closer to natural flow.

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QBMA is shown in yellow in the

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second column from the right.

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Notice that flow estimate B

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matches flow estimate A both showing

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6.1 cubic feet per second.

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This means that there is no

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appreciable loss of flow due to

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evapotranspiration in this area.

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This is expected because Pitkin Creek is

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in a mountainous area at higher elevation.

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Step C is a regression analysis

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using reference stream gauges to

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provide a further adjustment to flow

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estimates calculated in step B.

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A reference gage is a stream gage that

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is minimally affected by human activities.

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For example,

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there are no dams or other

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flow alterations upstream.

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Gages used in EROM including

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reference gages are screened

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based on two additional criteria.

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First,

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the NHD plus high Resolution

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drainage area for the gauge must

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be within a certain percentage of

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the NWIS reported drainage area.

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NWIS is the National Water information system.

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Second,

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the gauge must have a minimum of 10 years

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record in the 1971 to 2000 time period.

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The reference gages used for

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each vector processing unit or

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VPU are shown in the EROM

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QAMA table which we will discuss

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in one of the following slides.

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A log log regression is calculated

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to further refine the flow estimate

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to represent natural conditions.

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The gage adjusted natural flow

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value is captured in QCMA

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Flow Estimate

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C Reference Gage Regression Mean Annual.

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In this example,

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the stream gage shown here is the

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USGS stream gage at Pitkin Creek.

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Data and descriptive information for the

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gage can be found on the NWIS website.

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If we look up this stream gage at NWIS,

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we see it's gage ID number and it's

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official name. Picking Creek near Minturn,

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Colorado.

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We also see that NWIS records,

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the total upstream drainage for

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this gage at 5.32 square miles.

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Finally, the gauge has more than 10

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years of continuous record.

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Therefore the gauge at Pitkin Creek

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is suitable as a reference gauge

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and can be used in the regression

00:08:56.533 --> 00:08:57.966
equation to estimate flow.

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We can also calculate the upstream

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drainage area from this gauge point

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using the NHD plus high resolution in

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a geographic information system or GIS.

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GIS calculates the sum of the areas

00:09:11.633 --> 00:09:14.199
in all the catchments upstream of

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this point is 5.35 square miles.

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The calculated value is within 20%

00:09:19.133 --> 00:09:20.999
of the upstream drainage record

00:09:21.000 --> 00:09:23.333
for this stream gauge in NWIS.

00:09:23.333 --> 00:09:24.733


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A log log regression is calculated

00:09:27.233 --> 00:09:29.533
using the reference gage flows to

00:09:29.533 --> 00:09:31.466
further refine the flow estimate

00:09:31.466 --> 00:09:33.366
to represent natural conditions.

00:09:33.366 --> 00:09:35.499
The gage adjusted natural flow value

00:09:35.500 --> 00:09:38.766
is captured in QCMA Flow Estimate C

00:09:38.766 --> 00:09:40.999
Reference Gage Regression Mean Annual

00:09:41.000 --> 00:09:43.433
attribute this is shown in the center

00:09:43.433 --> 00:09:45.566
yellow column of the attribute table.

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QCMA shows the flow estimate

00:09:47.700 --> 00:09:50.266
is 5.7 cubic feet per second.

00:09:50.266 --> 00:09:53.666
Notice that this is a bit lower than the 6.4

00:09:53.666 --> 00:09:53.766


00:09:53.766 --> 00:09:56.966
cubic feet per second estimate in step B,

00:09:56.966 --> 00:09:58.032
excess evapotranspiration.

00:09:58.033 --> 00:10:00.533
The QCMA values are the best

00:10:00.533 --> 00:10:00.633


00:10:00.633 --> 00:10:02.566
estimate of natural flows.

00:10:02.566 --> 00:10:04.466


00:10:04.466 --> 00:10:08.199
Step D adjust the stream flow for flow

00:10:08.200 --> 00:10:10.533
transfers withdraws and augmentation.

00:10:10.533 --> 00:10:11.966
Man made additions,

00:10:11.966 --> 00:10:13.766
removals and transfers are found

00:10:13.766 --> 00:10:15.932
in the NHD plus flow AR table.

00:10:15.933 --> 00:10:18.533
This table is empty in the beta version

00:10:18.533 --> 00:10:21.799
of NHD plus high Resolution and will be

00:10:21.800 --> 00:10:24.566
built overtime based largely on user input.

00:10:24.566 --> 00:10:27.866
Adjustments in this step are made to QCMA

00:10:27.866 --> 00:10:31.499
the newly adjusted values are stored in QDMA,

00:10:31.500 --> 00:10:35.200
alias FlowEstDAdditionalRemovalMA.

00:10:35.200 --> 00:10:35.233


00:10:35.233 --> 00:10:36.433


00:10:36.433 --> 00:10:39.233
If we look at the data in Pitkin Creek,

00:10:39.233 --> 00:10:41.099
we will find that the adjusted

00:10:41.100 --> 00:10:43.566
value stored in the QDMA are the

00:10:43.566 --> 00:10:45.266
same as the values calculated in

00:10:45.266 --> 00:10:45.366


00:10:45.366 --> 00:10:47.332
step C for the QCMA attribute.

00:10:47.333 --> 00:10:49.566
The reason for the unchanged values is

00:10:49.566 --> 00:10:52.132
the absence of any man made stream flow

00:10:52.133 --> 00:10:53.999
adjustments for Pitkin Creek

00:10:54.000 --> 00:10:57.133
in the NHD plus flow AR table.

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Step E further justs flow estimates

00:10:59.466 --> 00:11:01.599
based on observed gaging station data.

00:11:01.600 --> 00:11:03.900
In this step the network features

00:11:03.900 --> 00:11:06.700
that are upstream from the gage are

00:11:06.700 --> 00:11:09.066
adjusted for observed gage base flow.

00:11:09.066 --> 00:11:11.299
The flow for the downstream features,

00:11:11.300 --> 00:11:13.366
in turn, are calculated using

00:11:13.366 --> 00:11:14.999
adjusted incremental flows for

00:11:15.000 --> 00:11:16.433
affected catchment areas.

00:11:16.433 --> 00:11:17.733
Thus, step E impacts estimates

00:11:17.733 --> 00:11:19.333
downstream from the gage to

00:11:19.333 --> 00:11:20.933
better reflect flow alterations,

00:11:20.933 --> 00:11:22.699
not taken into account

00:11:22.700 --> 00:11:24.933
in the first four steps.

00:11:24.933 --> 00:11:27.766
It is possible for the flow values to

00:11:27.766 --> 00:11:30.099
decrease downstream at flow lines were

00:11:30.100 --> 00:11:32.033
gage is present gage selection criteria

00:11:32.033 --> 00:11:34.666
in this step is the same as in step C.

00:11:34.666 --> 00:11:37.532
Drainage area must be within 20% and must

00:11:37.533 --> 00:11:40.566
have a continuous record of 10 years.

00:11:40.566 --> 00:11:42.232
Only gaging stations linked

00:11:42.233 --> 00:11:44.366
the NHD plus high Resolution

00:11:44.366 --> 00:11:46.466
network are used to adjust flows.

00:11:46.466 --> 00:11:48.432
The flow estimates after adjustments

00:11:48.433 --> 00:11:50.866
in Step E are considered the

00:11:50.866 --> 00:11:52.766
best NHD plus high resolution

00:11:52.766 --> 00:11:54.732
flow estimates for actual flows.

00:11:54.733 --> 00:11:58.566
The value is stored in QEMA

00:11:58.566 --> 00:12:02.432
alias FlowEstEGageAdjustedMA.

00:12:02.433 --> 00:12:04.633
This slide shows the final estimate

00:12:04.633 --> 00:12:06.899
QEMA of 6.1 CFS for Pitkin

00:12:06.900 --> 00:12:08.866
Creek in the last column.

00:12:08.866 --> 00:12:11.266
Note this estimate is very close to the

00:12:11.266 --> 00:12:13.166
initial estimate based on runoff only,

00:12:13.166 --> 00:12:17.199
but this is not always the case.

00:12:17.200 --> 00:12:19.166
Here are the final QEMA

00:12:19.166 --> 00:12:21.432
values in the Pitkin Creek area.

00:12:21.433 --> 00:12:22.799
You can symbolize QEMA

00:12:22.800 --> 00:12:24.533
values in class intervals.

00:12:24.533 --> 00:12:26.633
In the example of Pitkin Creek,

00:12:26.633 --> 00:12:28.166
we use 20 classes.

00:12:28.166 --> 00:12:29.699
As you can see,

00:12:29.700 --> 00:12:31.133
such classification gives you

00:12:31.133 --> 00:12:32.966
an effective map display where

00:12:32.966 --> 00:12:34.699
major and minor streams are

00:12:34.700 --> 00:12:36.333
displayed differently on the map

00:12:36.333 --> 00:12:37.899
based on their flow estimates.

00:12:37.900 --> 00:12:39.833
Step F is a quality assurance

00:12:39.833 --> 00:12:41.966
step to measure the accuracy of

00:12:41.966 --> 00:12:43.666
gage adjusted flow estimates

00:12:43.666 --> 00:12:45.366
on ungaged NHD flowline features

00:12:45.366 --> 00:12:47.699
because Step D uses all gages,

00:12:47.700 --> 00:12:50.266
the flow estimates at the gage locations

00:12:50.266 --> 00:12:53.032
will always match the gauged flow values.

00:12:53.033 --> 00:12:54.999
This means that any statistical analysis

00:12:55.000 --> 00:12:57.700
on the Step E flows compared to gage

00:12:57.700 --> 00:13:00.100
flows will always be a perfect match.

00:13:00.100 --> 00:13:02.566
Step F randomly removes 20% of gages

00:13:02.566 --> 00:13:04.599
from the gage adjustment process and

00:13:04.600 --> 00:13:06.466
repeats the gage adjustment process

00:13:06.466 --> 00:13:08.799
on the remaining 80% of gages.

00:13:08.800 --> 00:13:11.366
Step F then compares the adjusted

00:13:11.366 --> 00:13:13.999
estimates to the actual gage flows.

00:13:14.000 --> 00:13:17.100
The EROM QAMA table captures which

00:13:17.100 --> 00:13:20.066
gages were used in the QA analysis.

00:13:20.066 --> 00:13:21.932
The attribute GageRef contains the

00:13:21.933 --> 00:13:24.599
values of yes for the used gages.

00:13:24.600 --> 00:13:26.700


00:13:26.700 --> 00:13:29.566
The EROM QAMA table and the EROM

00:13:29.566 --> 00:13:32.466
QA report may be used to evaluate the

00:13:32.466 --> 00:13:34.932
accuracy of the reference gage regression

00:13:34.933 --> 00:13:37.699
and the gage adjusted flow estimates.

00:13:37.700 --> 00:13:39.800
Using values found in the EROM QAMA

00:13:39.800 --> 00:13:42.366
table the graph on the slide shows

00:13:42.366 --> 00:13:44.399
the comparison of the actual log 10

00:13:44.400 --> 00:13:46.800
mean flow at the gages and the log

00:13:46.800 --> 00:13:49.666
10 of the EROM mean flow estimates.

00:13:49.666 --> 00:13:52.766
Gage flows are on the X axis and EROM

00:13:52.766 --> 00:13:55.532
flow estimates are on the Y axis.

00:13:55.533 --> 00:13:57.899
The blue diamonds are the runoff flow estimates.

00:13:57.900 --> 00:13:57.933


00:13:57.933 --> 00:14:00.233
The pink squares are the flows adjusted

00:14:00.233 --> 00:14:02.266
with the reference gage regression.

00:14:02.266 --> 00:14:04.466
The red line is where the gage

00:14:04.466 --> 00:14:06.499
and EROM flows would be equal.

00:14:06.500 --> 00:14:08.133
Note how in this region,

00:14:08.133 --> 00:14:09.433
the runoff estimates consistently

00:14:09.433 --> 00:14:11.599
underestimate the gaged flows.

00:14:11.600 --> 00:14:12.400


00:14:12.400 --> 00:14:14.466
Stream flow QA information

00:14:14.466 --> 00:14:16.566
is included in two tables.

00:14:16.566 --> 00:14:19.332
The first output is EROM QAMA table.

00:14:19.333 --> 00:14:21.333
It contains statistical descriptions

00:14:21.333 --> 00:14:23.399
of initial estimates of stream

00:14:23.400 --> 00:14:25.366
flow runoff in a table form.

00:14:25.366 --> 00:14:27.666
The file layout is designed to facilitate

00:14:27.666 --> 00:14:29.232
graphical and statistical analysis.

00:14:29.233 --> 00:14:31.833
It is useful for users who want to look

00:14:31.833 --> 00:14:33.933
at graphs or additional statistics

00:14:33.933 --> 00:14:36.566
for only the reference gages.

00:14:36.566 --> 00:14:38.766
The 2nd output is the report.

00:14:38.766 --> 00:14:40.366
The report contains comparisons

00:14:40.366 --> 00:14:42.332
of the EROM flow estimates

00:14:42.333 --> 00:14:44.333
and the observed gage flows.

00:14:44.333 --> 00:14:46.399
The report is stored as a table.

00:14:46.400 --> 00:14:47.800


00:14:47.800 --> 00:14:50.033
To summarize this lesson,

00:14:50.033 --> 00:14:52.866
we learned how stream flow estimates get

00:14:52.866 --> 00:14:55.266
calculated in NHD plus high resolution.

00:14:55.266 --> 00:14:57.766
It's a global method to assign flow

00:14:57.766 --> 00:15:00.466
rates for the entire United States.

00:15:00.466 --> 00:15:03.266
Many other methods for flow estimation exist,

00:15:03.266 --> 00:15:05.666
especially on a more local level.

00:15:05.666 --> 00:15:07.499
For example, USGS Stream stats

00:15:07.500 --> 00:15:08.966
program calculates flow estimates

00:15:08.966 --> 00:15:10.899
using smaller regional regressions,

00:15:10.900 --> 00:15:12.533
usually presented by state.

00:15:12.533 --> 00:15:14.566
There are many potential uses

00:15:14.566 --> 00:15:16.466
for EROM flow estimates,

00:15:16.466 --> 00:15:18.566
for example flow in combination with

00:15:18.566 --> 00:15:20.966
the flow network allows for time of

00:15:20.966 --> 00:15:22.599
travel studies flow in combination

00:15:22.600 --> 00:15:24.433
with the catchments or watershed

00:15:24.433 --> 00:15:26.666
boundaries can be used to estimate

00:15:26.666 --> 00:15:29.066
water budgets for certain areas.

00:15:29.066 --> 00:15:31.199
Finally, flow estimates can be symbolized.

00:15:31.200 --> 00:15:33.333
To create effective cartographic products,

00:15:33.333 --> 00:15:35.766
as we have seen in the example

00:15:35.766 --> 00:15:37.232
of Pitkin Creek.

00:15:37.233 --> 00:15:37.866


00:15:37.866 --> 00:15:40.532
For further questions related to

00:15:40.533 --> 00:15:43.366
NHD plus high resolution or any

00:15:43.366 --> 00:15:45.666
NHD products, please contact USGS

00:15:45.666 --> 00:15:48.432
support email nhd@usgs.gov.