Using Terrain Attributes to Identify Critical Water Quality Areas
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Using Terrain Attributes to Identify Critical Water Quality Areas
- 1. Identifying Critical Portions of the Landscape for Water Quality Protection Using Terrain Attributes Jake Galzki, David Mulla, Joel Nelson Department of Soil, Water, and Climate University of Minnesota Adam Birr and Kevin Kuehner Minnesota Department of Agriculture
- 3. Digital Terrain Analysis Overview Example Point Elevations with GPS DEM Terrain Attributes Spatial Interpolation Attribute Calculation
- 6. Slope Blue Earth County Minnesota Beauford Sub-Watershed High Low
- 8. Plan Slope Curvature Profile Convex Concave
- 13. Courtesy of the Brown, Nicollet, Cottonwood Water Quality Board
- 17. Beauford Watershed – 30m DEM
- 18. Beauford Watershed – 3m LIDAR DEM
- 19. Beauford Watershed – 3D 30m DEM
- 20. Beauford Watershed – 3D 3m LIDAR DEM
- 22. Example: Using Specific Catchment Area to Identify Gullies Belle Creek Watershed (Goodhue County)
- 23. Example: Using Specific Catchment Area to Identify Gullies Seven Mile Creek Watershed (Nicollet County)
- 24. Example: Using Specific Catchment Area to Identify Gullies Seven Mile Creek Watershed (Nicollet County)
- 25. Example: Using Specific Catchment Area to Identify Gullies Seven Mile Creek Watershed (Nicollet County)
- 26. Example: Stream Power Index to Identify Gullies Seven Mile Creek Watershed (Nicollet County)
- 27. Sediment Delivery Potential Courtesy of the Brown, Nicollet, Cottonwood Water Quality Board
- 28. Courtesy of the Brown, Nicollet, Cottonwood Water Quality Board
- 29. Example: Using Specific Catchment Area to Identify Critical Source Areas Beauford Watershed (Blue Earth County)
- 30. Example: Using Specific Catchment Area to Identify Critical Source Areas Beauford Watershed (Blue Earth County)
- 31. Example: Using Specific Catchment Area to Identify Critical Source Areas Beauford Watershed (Blue Earth County)
- 34. Stream Power Index One-Way ANOVA of mean values p = 4.3x10 -8 95% C.I. Field Verified Gully Random Point SPI
Notes de l'éditeur
- Critical area = disproportionate flow/loads. Nothing new have used HEL for targeting purposes, etc but largely based on qualitative interpretations, this enables us to establish a standardized approach that can be quantified. Also identifies areas that may not be necessary to change management practices. Index not used for quantitative predictions but rather establish relative differences and aid in targeting and increase efficiency of limited conservation dollars.
- This includes features such as gullies. It is believed that LIDAR data will eventually become available statewide over time.