Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015

RUSLE and GIS-based assessment of soil erosion in the mountain areas of Beijing, China

Authors
Weiwei Zhang, Hong Li
Corresponding Author
Weiwei Zhang
Available Online July 2015.
DOI
10.2991/icaees-15.2015.172How to use a DOI?
Keywords
soil erosion, universal soil loss equation, geographic information system, remote sensing, Beijing
Abstract

Quantitative research on the soil erosion intensity in the mountain areas of Beijing was estimated via utilizing RUSLE model supported by GIS and RS technology. It is concluded that no erosion and slight erosion were the primary erosion intensities in the mountain areas of Beijing. The soil erosion was distributed mainly on the steep slope or risk slope of Beijing mountain areas with a gradient of greater than 15 degree, in the forest land of Beijing mountain areas and mountain areas with vegetation coverage of less than 30% or between 45 and 65%.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-6252-130-8
ISSN
2352-5401
DOI
10.2991/icaees-15.2015.172How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Weiwei Zhang
AU  - Hong Li
PY  - 2015/07
DA  - 2015/07
TI  - RUSLE and GIS-based assessment of soil erosion in the mountain areas of Beijing, China
BT  - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
PB  - Atlantis Press
SP  - 929
EP  - 934
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaees-15.2015.172
DO  - 10.2991/icaees-15.2015.172
ID  - Zhang2015/07
ER  -