基于GIS平台与证据权的地震滑坡易发性评价

许冲; 戴福初; 徐锡伟

doi:10.3799/dqkx.2011.122

Volume 36 Issue 6

Jun. 2011

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Article Navigation > Earth Science > 2011 > 36(6): 1155-1164

XU Chong, DAI Fu-chu, XU Xi-wei, 2011. Earthquake Triggered Landslide Susceptibility Evaluation Based on GIS Platform and Weight-of-Evidence Modeling. Earth Science, 36(6): 1155-1164. doi: 10.3799/dqkx.2011.122

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XU Chong, DAI Fu-chu, XU Xi-wei, 2011. Earthquake Triggered Landslide Susceptibility Evaluation Based on GIS Platform and Weight-of-Evidence Modeling. Earth Science, 36(6): 1155-1164. doi: 10.3799/dqkx.2011.122

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Earthquake Triggered Landslide Susceptibility Evaluation Based on GIS Platform and Weight-of-Evidence Modeling

doi: 10.3799/dqkx.2011.122

XU Chong^{1, 2
,},
DAI Fu-chu²,
XU Xi-wei¹

1.
National Center for Active Fault Studies, Institute of Geology, Chinese Earthquake Administration, Beijing 100029, China
2.
Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China

Received Date: 2010-03-20
Available Online: 2021-11-10
Publish Date: 2011-06-15

Abstract

Abstract

Wenchuan earthquake triggered tens of thousands of landslides. Eight factors that influence landslide occurrence, including seismic intensity, lithology, slope angle, faults, elevation, slope aspect, drainages, and roads were created in raster data format base on geographical information system (GIS) and remote sensing (RS) technologies. The landslide hazard map was derived by using weight-of-evidence modeling. Earthquake-induced landslide susceptibility zonings of other eight impact factor combination categories were analyzed and mapped one after another, using GIS raster analysis methods. The eight different impact factor combinations analysis suggests that seismic intensity play an important role in determining the landslide susceptibility index value, while geological, geomorphological, and human-related factors only play minor roles. The resulting susceptibility map was divided into five categories, i.e. extremely high, high, moderate, low, and extremely low by using Natural Breaks law. The validation results show satisfactory agreement between the susceptibility map and the existing data on landslide distributions in the form of area under curve (AUC) up to 81.855%. The area with extremely high and high susceptibility accounts for about 11255.93km², 23.12% of the study area, including landslide areas of 521.98km², 73.36% of all landslide occurrence areas.
- Wenchuan earthquake,
- landslide,
- weight-of-evidence,
- susceptibility evaluation,
- geographic information systems (GIS),
- remote sensing (RS)

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References(56)

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Earthquake Triggered Landslide Susceptibility Evaluation Based on GIS Platform and Weight-of-Evidence Modeling

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