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Study on Soil Erosion in Zuli River Basin Using RS and GIS

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Advances in Computer Science and Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 141))

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Abstract

Combining Geographical Information System (GIS) and Remote Sensing (RS) with the Universal Soil Loss Equation (USLE), we try to extract the amount of soil erosion. Firstly we obtain the five factors that influence soil erosion severity. They are rainfall pattern, soil type, topography, crop system and management practices. Then the soil erosion distribution in the area is illustrated and we can analyze this disaster from spatial scale.

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References

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Author information

Authors and Affiliations

  1. Mathematics, Physics and Software Engineering School, Lanzhou Jiaotong University, Lanzhou, 730070, China

    Han Hui

  2. Chinese Academy of Meteorological Sciences, Beijing, 100081, China

    E. Youhao

Authors
  1. Han Hui
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  2. E. Youhao
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Corresponding author

Correspondence to Han Hui .

Editor information

Editors and Affiliations

  1. Shenzhen University, Guangdong, 518060, China, People's Republic

    Dehuai Zeng

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Hui, H., Youhao, E. (2012). Study on Soil Erosion in Zuli River Basin Using RS and GIS. In: Zeng, D. (eds) Advances in Computer Science and Engineering. Advances in Intelligent and Soft Computing, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27948-5_47

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  • DOI: https://doi.org/10.1007/978-3-642-27948-5_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27947-8

  • Online ISBN: 978-3-642-27948-5

  • eBook Packages: EngineeringEngineering (R0)

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