Putting NHDPlus to Putting NHDPlus to WorkWork

Putting NHDPlus to Putting NHDPlus to WorkWork

2006 ESRI User Conference2006 ESRI User Conference

San Diego, CASan Diego, CA

August 8, 2006August 8, 2006

2006 ESRI User Conference2006 ESRI User Conference

San Diego, CASan Diego, CA

August 8, 2006August 8, 2006

NHD and NHDPlus Applications SessionNHD and NHDPlus Applications SessionPresented by:Presented by:

Kristen Gunthardt (for Tommy Dewald)Kristen Gunthardt (for Tommy Dewald)US EPA, Office of WaterUS EPA, Office of Water

Presentation OverviewPresentation OverviewPresentation OverviewPresentation Overview

Enhancing the NHD Framework Enhancing the NHD Framework with NHDPluswith NHDPlus

EPA Applying theEPA Applying the NHD and NHD and NHDPlusNHDPlus

Applications – Just a StartApplications – Just a Start

Enhancing the NHD Framework Enhancing the NHD Framework with NHDPluswith NHDPlus

EPA Applying theEPA Applying the NHD and NHD and NHDPlusNHDPlus

Applications – Just a StartApplications – Just a Start

Enhancing the NHD FrameworkEnhancing the NHD Frameworkwith with NHDPlus!NHDPlus!

NHDNHD Hydrographic features for making mapsHydrographic features for making maps A national stream addressing systemA national stream addressing system A modeling network for navigating upstream/downstreamA modeling network for navigating upstream/downstream A maintenance infrastructureA maintenance infrastructure

NHDPlusNHDPlus Improved network relationships and additional namesImproved network relationships and additional names Value-added attributesValue-added attributes NHD reach catchments with attributesNHD reach catchments with attributes Flow grids Flow grids Network node elevations Network node elevations Flow volume and velocity Flow volume and velocity (original goal!)(original goal!) Stream gages linked to stream networkStream gages linked to stream network

NHDPlus NHDPlus includesTopographically-Derived Catchments

(2,613,709 total catchments)

Quad Density Artifacts in NHDQuad Density Artifacts in NHD

NHD with Flow Volume > 2 cfs: NHD with Flow Volume > 2 cfs: Hydrologic EquityHydrologic Equity

NationalNational HydrographyHydrography

DatasetDataset

WATERSWATERS Data Architecture Data Architecture

Nonpoint Source GrantsNonpoint Source Grants

Impaired Waters & Impaired Waters & TTotal otal MMaximum aximum DDaily aily LLoadsoads

Water Quality AssessmentsWater Quality Assessments

Water Quality MonitoringWater Quality Monitoring

Water Quality StandardsWater Quality Standards

((WWatershed atershed AAssessment, ssessment, TTracking & racking & EEnvironmental nvironmental RResultesultSS))(www.epa.gov/waters)(www.epa.gov/waters)

GRTS WQSDB

NTTS STORET

ADB/NAD

Reach Address Database(RAD)

Assessing Recovery Potential Assessing Recovery Potential of Impaired Watersof Impaired Waters

Joint OW/ORD project Joint OW/ORD project Recovery potential:Recovery potential: the likelihood the likelihood

of an impaired water to reattain of an impaired water to reattain Water Quality Standards, given Water Quality Standards, given its ecological capacity to regain its ecological capacity to regain lost functions, its exposure to lost functions, its exposure to stressors, and its social context.stressors, and its social context.

Opportunity to consider Opportunity to consider landscape factors related to landscape factors related to recovery potential within recovery potential within drainage areasdrainage areas and stream and stream corridors, using GIScorridors, using GIS

Endangered Species: An Example Potential Use of Endangered Species: An Example Potential Use of NHD in Pesticide Risk AssessmentsNHD in Pesticide Risk Assessments

Endangered SpeciesEffects by NHD Stream Segment

PCA = 100%

PCA > 50%

PCA < 50%

cropland

Thiessen Polygon

PCA by CatchmentNHD

Thiessenpca

0 %

1 - 10

11 - 20

21 - 30

31 - 40

41 - 50

51 - 60

61 - 70

71 - 80

81 - 90

100

Figure 2Figure 2

The The Office of Pesticide ProgramsOffice of Pesticide Programs is exploring the use of the is exploring the use of the NHDNHD and and value-added attributesvalue-added attributes in a variety of applications related to pesticide risk in a variety of applications related to pesticide risk assessments.assessments.

In this example, NHD navigation tools are combined with the NLCD and In this example, NHD navigation tools are combined with the NLCD and NHD NHD catchmentscatchments (Thiessen-based) to estimate the direct and indirect effects of (Thiessen-based) to estimate the direct and indirect effects of agricultural pesticide use on endangered aquatic speciesagricultural pesticide use on endangered aquatic species . .

Figure 1Figure 1

USGS NAWQA SPARROW ModelingUSGS NAWQA SPARROW Modeling

Original USGS SPARROW Original USGS SPARROW (Spatially Referenced (Spatially Referenced Regressions on Watershed Regressions on Watershed Attributes) water quality models Attributes) water quality models based upon Reach File Version 1 based upon Reach File Version 1 (RF1) 1:500,000-scale(RF1) 1:500,000-scale

Success of EPA-funded NHD-Success of EPA-funded NHD-based New England SPARROW based New England SPARROW model (at right) has motivated model (at right) has motivated plan to conduct similar modeling plan to conduct similar modeling for several USGS NAWQA study for several USGS NAWQA study areas during 05/06areas during 05/06

SPARROW Model Results:

Predicted Total Nitrogen Catchment Yield

Contributions to Total Nitrogenfrom each source

Atmospheric Developed

Agriculture Point Source

=

+

+ +

USGS NAWQA SPARROW ModelsUSGS NAWQA SPARROW Modelsfor Major River Basinsfor Major River Basins

Relative Debris-Flow

Hazard In Response to

2”of Rainfall in 1 Hour

Brins Fire, ArizonaJune 2006

Low

Moderate

High

Very High

ARIZONA

FLAGSTAFF

PHOENIX

SEDONASTUDYAREA

Relative Hazard

USGS StreamStatsUSGS StreamStats

StreamStats is a web application that StreamStats is a web application that greatly reduces the time needed to greatly reduces the time needed to estimate streamflow statistics for ungaged estimate streamflow statistics for ungaged sites and to make published streamflow sites and to make published streamflow statistics for USGS data-collection stations statistics for USGS data-collection stations easily accessible easily accessible

Based upon state-specific regression Based upon state-specific regression equationsequations

Supports TMDLsSupports TMDLs

RWDB GEOGRAPHIC COVERAGE:

296 hydrologic units (4th-code HUCs)

23,342 surface water segs.

300 pulp & paper facilities (approx.)

RWDB LOGISTICS:

Linux Server: 0.5TB, 4-Disc RAID

w/off-site auto backup

784,528 data records/files

>14,000 spatial data files

RWDB INFORMATION TYPES:

Watershed Characteristics

Topography, HUCs, ecoregions, landuse/cover, soils, stream flow, weather, dams,

gauges

Water Quality

Chemistry, bacteriological, sediment inventory, temperature, turbidity, chlorophyll

Regulatory

WQS, impairment listings and delistings, TMDL status, nutrient criteria

Facility Data

Mill (and other) discharge, PCS, TRI, RCRA, Superfund info.

NCASI Receiving Water DatabaseNCASI Receiving Water Database

National Council for Air and Stream Improvement, Inc.National Council for Air and Stream Improvement, Inc.

For More InformationFor More InformationFor More InformationFor More Information

Visit Visit www.epa.govwww.epa.gov/waters/waters Tommy Dewald, Tommy Dewald, dewald.tommy@epa.govdewald.tommy@epa.gov Kristen Gunthardt, Kristen Gunthardt, gunthardt.kristen@epa.govgunthardt.kristen@epa.gov

Questions?Questions?Questions?Questions?