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Soil Movement in West Virginia Watersheds

Soil Movement in West Virginia Watersheds. A GIS Assessment. Greg Hamons Dr. Michael Strager Dr. Jingxin Wang. A little about me…. Native West Virginian Pocahontas County B.S. in Forest Resource Management Seeking M.S. Forestry Very interested in Forestry and GIS Analysis!. Issue.

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Soil Movement in West Virginia Watersheds

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  1. Soil Movement in West VirginiaWatersheds A GIS Assessment Greg Hamons Dr. Michael Strager Dr. Jingxin Wang

  2. A little about me…. • Native West Virginian • Pocahontas County • B.S. in Forest Resource Management • Seeking M.S. Forestry • Very interested in Forestry and GIS Analysis!

  3. Issue • Sedimentation • Soil movement can cause lots of damage especially when its moving into water resources. • Pollution of streams, Raise flood levels, Raise stream temperatures, Degrade site/stream quality and Productivity, and reduce navigational abilities. • Sediment created from Silvicultural Operations is the issue at hand.

  4. Project Description • Problems: • Soil Movement, specifically sedimentation, is very detrimental to streams and forested sites. • Pollution to Water Resources • Site Degradation-Both Environmentally and Aesthetically • Habitat and Productivity Loss-Both Onsite and Downstream • Assess Best Management Practices (BMP) Functionality • GOAL:FIND SIGNIFICANT SOIL MOVEMENT CONTRIBUTORS and IDENTIFY DIFFERENCES BETWEEN WATERSHEDS

  5. Project: Study Area • Two Watersheds located in Tucker County, WV • Both Similar in Geologic and Physical Makeup. Slopes Elevations Land-cover etc…

  6. Project Description • Study designed to evaluate soil movement and it’s relation to logging. • Two Watersheds (Control and Treatment) • Silt-fence Installed around all Streams • Material Removed Once a Year • Extensive Mapping Procedures • Classification/Regression Trees to Model and/or Predict Sedimentation

  7. Silt-fence Installation

  8. Data Collection and Recording

  9. Total Oven-Dry Material Burn sub-samples, calculate average percent mineral (Mostly Organic) Manually separate predominantly mineral from predominantly organic Apply average percent to predominantly organic fraction weight Place in water (Mostly Mineral) Oven Dry and Burn Pour off and discard Mineral associated with predominantly organic fraction Mineral associated with predominantly mineral fraction Total Sediment

  10. Methods • Use GIS to identify Landscape elements in each watershed that contribute to soil movement. (i.e. Disturbance, Moisture, Slope, Soil Types, etc…) • Calculations: Derived From Digital Elevation Map • Slope, Aspect, Flow Direction, Flow Accumulation, Moisture Index, Distance Grids (from road, from stream, etc.), Soils, Land-cover, etc… ManyVariables! • Analysis Performed Using Various Extensions of the ESRI ArcMap 9.1 GIS program. As well as the newly developed 3-Meter DEM and Aerial Photography from the WV GIS Tech-center. • Statistical Method-Classification Trees • R Statistical Package

  11. Digital Elevation Map (DEM) 3-Meter Resolution Spatial Analysis Toolbar Slope Grid Distance Grids Aspect Grid Hydrology Tools Curvature Flow Direction Raster Calculator Flow Accumulation Moisture Index Stream Networks Inputs --- Tools --- Output Grids ---

  12. Sediment a function of… Sediment Reaching Silt-fence= F (Slope, Distance From Silt-fence, Distance From Disturbance, Distance From Slope Breaks, Moisture, Aspect, Accumulation, Soil Type, Vegetation, Land-use, ) Very Dynamic Subject

  13. Ecological Land Units (ELU)Moisture Index • This index assumes that the relative moisture in a particular area (in this case a grid cell) primarily depends on two factors; • How much water is flowing into the area and how fast the water can flow out of the area. Ln [(catchment area + 1) / (slope + 1)] • The created index is a relative one so the numbers don’t represent any type of units. • Higher Positive Numbers are Wetter • Lower Negative Numbers are Drier Strager (2006)

  14. Analyses Performed • Also: • Classification Tree Modeling Technique • Statistical Analyses (S-plus and R Statistics Systems) • Future Analyses • Stream Loading-Sediment • Refining of Classification Tree Modeling • Key to possibly modeling the soil movement or sedimentation

  15. Results • According to the Statistical Modeling: R • Slope is the most important variable • 21.58º • Followed by: • Moisture- +3.62 (Range -4.3 – 7.6) • Aspect- 141º • Combined Grids Using Raster Calculator • Model Refinement to Include more Variables Coming Soon!

  16. Conclusions • 3-Meter DEM much higher accuracy! • 1:4800 scale aerial photography gives great visual representation! • Leads to more thorough analysis. • Detailed 3-D Representation. • Hydrology Tools Very Influential • Upon Completion of Analyses: • Identify Contributors to Soil Movement • Order there level of Importance • Assess current Best Management Practices (BMP) • Model/Predict Soil Loss

  17. Thank You Any Questions?

  18. References • (Grayson et al. 1992; Mitasova 1996; Moore, I. D. et al. 1988; Boer et al. 1996, O’Loughlin 1986, Parker 1982) • Strager 2006

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