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RHESs ys for Sandhills Region of North Carolina

RHESs ys for Sandhills Region of North Carolina. Tom Craven Matt Simon Anne Trainor. Objective. Construct a RHESSys ecohydrologic model for Sandhills Region. Study Area The Sandhills , NC.

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RHESs ys for Sandhills Region of North Carolina

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  1. RHESsys for Sandhills Region of North Carolina Tom Craven Matt Simon Anne Trainor

  2. Objective • Construct a RHESSysecohydrologic model for SandhillsRegion

  3. Study Area The Sandhills, NC Sandhills Eight-County Area. Shown on a blue to red color ramp is an 20 foot elevation model of the region. Dashed black lines indicate primary roads, blue lines - major hydrology. Ft. Bragg (right) and Camp Mackall (left) boundaries are shown in fuchsia.

  4. Study Area Sandhills Vegetation and Critters

  5. Data Sub-basin • Sub-basin – Cape Fear 14, Part of the Cape Fear River Basin

  6. Data Catchment Topography – Flat Creek Watershed

  7. Data Catchment Elevation – Flat Creek Watershed

  8. Data Catchment Soils– Flat Creek Watershed

  9. Data Wetness Index– Flat Creek Watershed

  10. Data Met and Stream Data

  11. Data Met and Stream Data

  12. MethodsArc Hydro Delineation The entire sub-basin was processed using Arc Hydro in ArcGIS 9.2 using a LiDAR-derived digital elevation model (DEM) created from the North Carolina Floodplain Mapping Program (NCFMP) by the North Carolina Department of Transportation (NCDOT This DEM has a 20 ft spatial resolution or roughly 6 meters.

  13. Methods Reclassified LULC from 15 to 4 classes • Hardwood • Deciduous Forest • Shrub/Scrub • Woody Wetlands • Evergreen • Evergreen Forest • Mixed Forest • Open/Barren • Developed (open space, low and medium intensity) • Barren • Herbaceous • Grassland • Herbaceous • Cultivated Crops • Emergent Herbaceous Wetlands • Open Water

  14. Methods

  15. Methods • Arcview (Arc2World) to construct world file • Template File Parameters • Single Soil Type: Sandy Loam • Land use: Undeveloped • 4 Vegetation Types from 30 m LULC • Topography • DEM, Hill slope, Wetness index, Slope, Aspect • Patch Identification • Composite of hill slope, wetness index and LULC • Trial 1: 4,161 discrete patch ids Raster calculator: LULC + WI*100 + hill slope * 100000 • Trial 2: 91 discrete patch ids Raster calculator: LULC + WI*10

  16. Model Output

  17. Future Steps • Get the model running • Incorporate variation in soil types and depths • Use explicit routing to examine hydrologic connectivity

  18. Newbie User Reflections • Add option to write a logfile with state variables • Examine templates and create worldfiles in class for the example watershed • Initial gray areas • Exact method for creation of useful grids • Headers in .def files • Going from scratch was difficult but yields a better understanding of the inner workings

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