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Susceptivity Appraisal of Soil Erosion in Three Gorges Region Based on Geographic Information System

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Software Engineering and Knowledge Engineering: Theory and Practice

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 162))

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Abstract

This paper was to appraise susceptivity of soil erosion and identify its spatial distribution in Three Gorges region in Chongqing, Southwest China based on geographic information system (GIS). The data of rainfall erosivity, soil erodibility, topographic undulation and land use/land cover were used to appraise susceptivity with synthetical index model of soil erosion susceptivity and analyze its spatial distribution with ArcGIS9 software. The results showed that the susceptivity of soil erosion was severe in the mass and its spatial difference was obvious due to integrative effect of the rainstorms, soil erodibility, topography, and land use/land cover in Three Gorges region. The main susceptivity classes of soil erosion are marginally sensitive, moderately sensitive and highly sensitive levels and their areas are 18, 61 and 21 percent respectively in the study area. Those areas with high susceptivity distribute in mountains in northeast and southeast of Chongqing due to thin soil, steeper terrain, poor management, and sparse vegetation. High priority should be given for those highly sensitive areas to conserve soil resources by identifying susceptivity of soil erosion, planning and promoting land use/land cover, and optimizing management for maintaining and improving soil productivity and sustainable development of eco-environment in Three Gorges region.

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References

  1. Barrow, C.J.: Land Degradation, pp. 12–14. Cambridge University Press, Cambridge (1991)

    Google Scholar 

  2. Pandey, A., Chowdary, V.M., Mal, B.C.: Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour. Manage. 21, 729–746 (2007)

    Article  Google Scholar 

  3. Renard, K.G., Foster, G.A., Weesies, D.A.: Predicting Soil Erosion by Water: a Guide to Conservation Planning with the Revised Uuniversal Soil Loss Eequation (RUSLE). In: Agriculture Handbook, USDA, Washington, DC, p. 703 (1997)

    Google Scholar 

  4. Yang, S.T., Cheng, H.G., Bu, Q.S.: Estimation of soil erosion and its application in assessment of the absorbed nitrogen and phosphorus load in China. Acta Scientiae Circumstantiae 26, 366–374 (2006)

    Google Scholar 

  5. Kinnell, P.I.A.: Slope length factor for applying the USLE-M to erosion in grid cells. Soil Till Res. 58, 11–17 (2001)

    Article  Google Scholar 

  6. Cai, C.F., Ding, S.W., Shi, Z.H.: Study of applying USLE and geographical information system IDRISI to predict soil erosion in small watershed. Journal of Soil and Water Conservation 14, 19–24 (2000)

    Google Scholar 

  7. Wang, X.D., Zhong, X.H., Fan, J.R.: Assessment and spatial distribution of sensitivity of soil erosion in Tibet. Journal of Geographical Sciences 14, 41–46 (2003)

    Article  Google Scholar 

  8. Cheng, S.Q., Cai, S.L., Xiao, T.: Geography of Chongqing, pp. 1–34. Southwest China Normal University Press, Chongqing (2003)

    Google Scholar 

  9. http://www.chinaenvironment.com (update, May 26, 2005)

  10. Zhou, F.J., Chen, M.H., Lin, F.X.: Study on prediction of soil erosion in Fujian province. Journal of Soil and Water Conservation 9, 25–26 (1995)

    Google Scholar 

  11. Wang, W.Z., Jiao, J.Y.: Quantitative evaluation methods for factors about soil erosion. Bulletin of Soil and Water Conservation 16, 1–20 (1996)

    Google Scholar 

  12. Foster, G.R., McCool, D.K., Renard, K.G., Moldenhauer, W.C.: Conversion of universal soil loss equation to SL metric units. J. Soil Water Conserv. 36, 355–359 (1981)

    Google Scholar 

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Correspondence to Wenzuo Zhou .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Zhou, W. (2012). Susceptivity Appraisal of Soil Erosion in Three Gorges Region Based on Geographic Information System. In: Zhang, W. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29455-6_33

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  • DOI: https://doi.org/10.1007/978-3-642-29455-6_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29454-9

  • Online ISBN: 978-3-642-29455-6

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