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Building an OpenNSPECT Database for Your Watershed. Dave Eslinger and Shan Burkhalter NOAA Office for Coastal Management. Outline. Overview OpenNSPECT Data Requirements Processing Considerations Acquire Data Elevation Land Cover Precipitation R-factor Soils. Process Data
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Building an OpenNSPECT Database for Your Watershed Dave Eslinger and Shan Burkhalter NOAA Office for Coastal Management
Outline Overview • OpenNSPECT • Data Requirements • Processing Considerations Acquire Data • Elevation • Land Cover • Precipitation • R-factor • Soils Process Data • Determine Project Boundary • Clip Data to Project Boundary • Generate OpenNSPECT Parameters from Input Data Run OpenNSPECT Conclusion
OpenNSPECT • Free, open-source, GIS-based comparison tool to estimate water quality impacts of various land use scenarios within a watershed • Uses established models to predict • Runoff • Pollutants • Erosion
Data Requirements National sources • Topography • Land cover • Precipitation • Soils • Rainfall erosivity
Processing Considerations • Study Area • Derive from elevation model • Hydrologic Unit Codes (HUCs) • Raster Resolution Typical raster resolutions for nationally available data include • 30-meter land cover • 30-meter and 10-meter elevation • 4-kilometer and 800-meter precipitation • To a lesser extent, 3-meter land cover and elevation data
Processing Considerations • Data Units • Data Formats • Data Projection • Soils Database ‒ Editing • Dual Hydrologic Classes • Missing Data Values • Precipitation • Raining Days • Rainfall Type
Acquire Elevation Data National Elevation Dataset (NED) • Available from the U.S. Geological Survey (USGS) National Map Viewer • Derives • Basin • watersheds • streams • slope • other parameters • Delivered as 1, 1/3, and 1/9 arc second tiles, which equates to about 30-, 10-, and 3-meter resolution
Acquire Elevation Data • National Map Demonstration viewer.nationalmap.gov/viewer
Acquire Elevation Data Overview of steps: • Locate and acquire elevation data viewer.nationalmap.gov/viewer • Review the elevation data, it should contain: • A readme.pdf file covering data information and specifications • A NED data dictionary, which includes metadata records • A metadata shapefile • A U.S. shapefile showing the 1 arc second grid locations • The elevation data in floating point format • Confirm that the data are projected • Start MapWindow GIS • Add the GridFloat elevation data • Review projection information in the Projection Properties
Acquire Land Cover Data • Digital Coast Land Cover Demonstration www.csc.noaa.gov/dataviewer/index.html
Acquire Land Cover Data Overview of steps: • Locate and acquire land cover data www.csc.noaa.gov/dataviewer/index.html • Review the land cover data, they should contain: • A metadata record in html format named for the mapping zone and product date (this is the metadata for the original land cover) • A text file containing the parameters specified in the download process named with the job number, product date, and product (this is the source of projection information based on the download request) • GeoTIFF land cover data named with the job number, product date, and product • Confirm that the data are projected • Start a new MapWindow GIS Project • Add the GeoTIFF land cover data • Review projection information in the Projections Properties
Acquire Precipitation Data Rainfall data • Provides the runoff component • Can be derived from weather station data • PRISM Climate Group at Oregon State University* * Created using the Parameter ‒ elevation Regressions on Independent Slopes Model (PRISM) climate-mapping system
Acquire Precipitation Data • PRISM demonstration www.prism.oregonstate.edu
Acquire Precipitation Data Overview of steps: • Locate and acquire precipitation data www.prism.oregonstate.edu • Review the precipitation data, they should contain: • A metadata file in XML format named for the product, time frame, resolution, and data format • The precipitation data in Band Interleaved by Line format having the same naming convention as the metadata record • Confirm that the data are projected • Start a new MapWindow GIS Project • Add the precipitation data • Review projection information in the Projections Properties
Acquire Precipitation Data • Determine Raining Days coast.noaa.gov/geozone/raining-days/ • Determine Rainfall Type • Intensity of rainfall varies by geography • NRCS describes four synthetic 24-hour rainfall distribution types* *Developed using the National Weather Service’s duration-frequency data or local storm
Acquire Rainfall Factor (R-Factor) Data Rainfall-runoff Erosivity Factor (R-Factor) • Quantifies the effects of raindrop impacts and reflects the amount and rate of runoff associated with the rain • One of the parameters used by the Revised Universal Soil Loss Equation to estimate annual rates of erosion • Used when including erosion prediction in OpenNSPECT analysis • Can be input as a raster file or a constant value
Acquire R-Factor Data • R-Factor Demonstration www.csc.noaa.gov/digitalcoast/tools/opennspect
Acquire R-Factor Data • Overview of steps: • Locate and acquire R-Factor for your study area www.csc.noaa.gov/digitalcoast/tools/opennspect • Review R-Factor data • The R-Factor metadata records • The R-Factor data in GeoTIFF format • Confirm that the data are projected and contain valid values • Start a new MapWindow GIS Project. • Add the R-Factor raster • Review projection information in the Projections Properties
Acquire and Process Soils Data Soil Survey Geographic (SSURGO) database • County-level soil data • USDA Natural Resource Conservation Service Soil data parameters are used to estimate sediment loads • Hydrologic soils group (measure of permeability) • K-factor (measure of erodibility)
Acquire and Process Soils Data • Web Soil Survey Demonstration websoilsurvey.sc.egov.usda.gov/App/WebSoilSurvey.aspx
Acquire and Process Soils Data Overview of steps: • Locate and acquire soils data • Review the soils data • Extract relevant attributes from the database • Create a soil attribute spreadsheet and modify or fill in any values necessary • If your study area contains more than one county, merge the shapefiles • Join soils attributes to the spatial data • Export the joined spatial database to a new shapefile • Reproject and clip the soils layer to your watershed boundary
Clip Data to Your Watershed OpenNSPECT > Advanced Settings > Clip and Project New Data • Shapefile boundary (clip boundary and projection all other files well be assigned) • Elevation (base raster to which all other rasters are aligned) • Land Cover • Precipitation • R-Factor
Generate OpenNSPECT Parameters from the Input Data Derivative information required • Elevation data • Watersheds • Flow dynamics • Rainfall data • Precipitation scenarios • Soils data • Hydrologic group • Erodibility factor
Generate OpenNSPECT Parametersfrom the Input Data • Watershed Delineation • OpenNSPECT > Advanced Settings > Watershed Delineations • In the Watershed Delineations dialog box, select Options > Create from DEM
Generate OpenNSPECT Parameters from the Input Data • Precipitation Scenarios • OpenNSPECT > Advanced Settings > Precipitation Scenarios • In the Precipitation Scenarios dialog box, select Options > New
Generate OpenNSPECT Parameters from the Input Data • Soils • OpenNSPECT > Advanced Settings > Soils • In the Soils dialog box, select Options > New
OpenNSPECT Test Run Start a new MapWindow GIS Project: From \\ON_Data_Prep add: • your_landcover.tif • your_soils.shp • your_dem.tif • your_precip.tif • your_R-factor
Model Output If all of your data were processed accurately, you will see results for • Accumulated Runoff (L) • Accumulated Nitrogen (kg) • Nitrogen Conc. (mg/L) • Accumulated Sediment (kg)
Model Output • Surface runoff volume • Accumulated runoff • Sediment yield • Accumulated sediment load • Pollutant yield • Accumulated pollutant load • Pollutant concentration
Partner Examples (We would like to highlight your applications here in the future)
Getting involved • OpenNSPECT: • Nspect.codeplex.com • MapWindow.org • NSPECT listserver • https://csc.noaa.gov/mailman/listinfo/n-spect-community
Conclusion • Free, open-source, GIS-based watershed analysis tool • Uses established models to predict runoff, pollutants, and erosion • Standardized, nationally-available input data sets • Clip data sets to your project boundary • Best used for comparing the effects of land use changes on water quality
Questions? Dave.Eslinger@noaa.gov and Shan.Burkhalter@noaa.gov