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An open source version of the Nonpoint-Source Pollution and An open source version of the Nonpoint-Source Pollution and

An open source version of the Nonpoint-Source Pollution and - PowerPoint Presentation

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An open source version of the Nonpoint-Source Pollution and - PPT Presentation

Climate Tools Café Webinar Dave Eslinger PhD 3 May 2012 What is OpenNSPECT Water quality screening tool Spatially distributed rasterbased pollutant and sediment yield model Compares the effects of different land cover and land use scenarios on total yields ID: 383206

cover land runoff pollutant land cover pollutant runoff baseline nitrogen change sediment source estimates rainfall erosion annual soil total

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Slide1

An open source version of the Nonpoint-Source Pollution and Erosion Comparison Tool

Climate Tools Café Webinar

Dave

Eslinger

, Ph.D.

3 May, 2012Slide2

What is OpenNSPECT?

Water quality screening toolSpatially distributed (raster-based) pollutant and sediment yield modelCompares the effects of different land cover and land use scenarios on total yieldsUser friendly graphical interface within a GIS environmentSlide3

Processes Simulated

Topography determines flow direction and slopeSoil characteristics, land cover

,

and

precipitation

determine runoffRunoff, land cover, and pollutant coefficients determine pollutant loads Runoff, topography, soil characteristics, and land cover determine sediment loadsSlide4

Uses Existing Approaches

Rainfall runoff

Soil Conservation Service (SCS) curve number technique

Nonpoint pollutant

Event mean concentration technique

Sediment erosion

Universal Soil Loss Equation (USLE)

Modified (MUSLE)

Revised (RUSLE)Slide5

Assumptions/Limitations

Omitted processesStormwater drainageStream diversionsSnowmeltLandslides

No time component for

Runoff dynamics

Sediment redeposition

Pollutant dynamics

Source: NASA Earth Science EnterpriseSlide6

Usage Example

Kingston Lake Watershed Association, near Conway, SCNutrient loads under different growth scenariosSlide7

Data Needs

National sources*Land cover dataTopographyPrecipitationSoils dataPollutant coefficients

Rainfall erosivity

Local sources

Water quality standards

Additional pollutant coefficients

*Local “tuning” improves accuracySlide8

Topography

Defines flow direction, stream networks, watershedsDefaultU.S. Geological Survey (USGS) 30 m resolution digital elevation modelResolution impacts processing speed and file sizeSlide9

Land Cover

Foundation for runoff quantity, sediment yield, pollutant yieldDefaultCoastal Change Analysis Program (C-CAP)30 m resolution

Flexible

Can easily substitute any land cover gridSlide10

Soils

Runoff and erosion estimates are dependent upon soils and land coverDefaultSSURGO soils†

County level resolution

Infiltration rate

Hydrologic group

Soil erodibility

K-factor

Soil Survey Geographic Database provided by the Natural Resources Conservation ServiceSlide11

Precipitation

Derived from point estimates or modeled

OSU PRISM data

Annual average

Single event rainfallSlide12

Pollutants

Pollutant coefficients

Event mean concentrations

Land cover specific

Defaults

Nitrogen

Phosphorus

Lead

Zinc

User–definable

New pollutants

New coefficientsDifferent criteriaSlide13

Outputs

Runoff volumeAccumulated runoffSediment yieldAccumulated sediment load

Pollutant yield

Accumulated pollutant load

Pollutant concentrationSlide14

Baseline Runoff

Flow directions derived from topography

Precipitation grid provides amount of rainfall

Uses soils and land cover data to estimate volume of runoff

Validated

Flow directionSlide15

Baseline Erosion

Estimates total annual sediment load delivered to coast

Provides a conservative estimate

A “worst-case” scenarioSlide16

Baseline Nitrogen

Estimates total annual pollutant load delivered to coast

Focuses attention on source areasSlide17

Baseline Nitrogen

Estimates total annual pollutant concentrationFocuses attention on source areasSlide18

Example Application

Makaha Valley, Oahu, HawaiiAnnual time scale“What-if” scenario Baseline

Land cover change

New residential development

Climate change

C

hange in rainfall characteristicsSlide19

Land Cover Change Scenario

Develop a subdivisionChange scrub/shrub vegetation to low intensity developmentSlide20

Nitrogen (Pre-Change)

Baseline

Low nitrogen runoff

Add scenarioSlide21

Nitrogen (Post-Change)

Compare baseline estimate to the new estimated load

138 percent increase in annual nitrogen loadSlide22

Climate Change Scenarios

Same amount of rainfall, but change the number and intensity of the storms

7 raining days, Type I

14 raining days, Type IA

3 raining days, Type IISlide23

Questions?

Download OpenNSPECT: nspect.codeplex.com

Esri

9.x version at csc.noaa.gov/

nspect

Project Contacts:Dave Eslinger, Project lead

Dave.Eslinger@noaa.gov

843-740-1270

Shan

Burkhalter

Shan.Burkhalter@noaa.gov 843-740-1275Matt Pendleton Matt.Pendleton@noaa.gov 843-740-1196