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The Comparison of Slope Angle Algorithms for Soil Erosion Based on Grid Digital Elevation Model

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Advances in Technology and Management

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 165))

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Abstract

Topographic slope angle is one of the most important factors affecting soil erosion. More and more methods, which compute topographic slope angle, are used based on digital elevation model (DEM) with continuous progress of geographic information system (GIS). However, each method has quite different result. With the example DEM data of the central mountain area, Shandong Province, we compare the computing results between the maximum downhill slope angle algorithm and the method employed by ArcGIS GRID. Finally, we draw some conclusions that the maximum downhill slope angle algorithm can retain the local variability present in the original DEM, avoid smoothing slope surface by ArcGIS GRID method, and finally improve the calculation of soil erosion.

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References

  1. Beasley, D.B., Huggins, L.F.: ANSWERS (Areal Non-point Source Watershed Environmental Response Simulation): User’s Manual, Chicago, IL: US EPA-905/9-82-001 (1982)

    Google Scholar 

  2. Young, R.A., Onstad, C.A., Bosch, D.D., Anderson, W.P.: Agricultural Non-point Surface Pollution Models (AGNPS) I and II Model Documentation. Pollution Control Agency. US Agricultural Research Service, Washington DC (1985)

    Google Scholar 

  3. Foster, G.R., Lane, L.J.: User Requirements USDA-Water Erosion Prediction Project (WEPP), NSERL Report No. 1, West Layafette, in National Soil Erosion Research Laboratory (1987)

    Google Scholar 

  4. Wischmeier, W.H., Smith, D.D.: Predicting Rainfall Erosion Losses - A Guide to Conservation Planning (Agricultural Handbook No. 537). Science and Educational Administration, US department of Agriculture, Washington, DC (1978)

    Google Scholar 

  5. Renard, K.G., Foster, G.R., Weesies, G.A., Porter, J.P.: RUSLE Revised Universal Soil Loss Equation. Journal of Soil and Water Conservation 36, 30–33 (1991)

    Google Scholar 

  6. Hickey, R., Smith, A., Jankowski, P.: Slope Length Calculations from a DEM within Arc/Info GRID. Computing, Environment and Urban Systems 18(5), 365–380 (1994)

    Article  Google Scholar 

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Correspondence to Zhang Zhaolu .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Zhaolu, Z. (2012). The Comparison of Slope Angle Algorithms for Soil Erosion Based on Grid Digital Elevation Model. In: Kim, H. (eds) Advances in Technology and Management. Advances in Intelligent and Soft Computing, vol 165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29637-6_8

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  • DOI: https://doi.org/10.1007/978-3-642-29637-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29636-9

  • Online ISBN: 978-3-642-29637-6

  • eBook Packages: EngineeringEngineering (R0)

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