China Aero Geophysical Survey and Remote Sensing Center for Natural ResourcesHost
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2021 Vol. 33, No. 4
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LIU Zhizhong, SONG Yingxu, YE Runqing. 2021. An analysis of rainstorm-induced landslides in northeast Chongqing on August 31, 2014 based on interpretation of remote sensing images. Remote Sensing for Natural Resources, 33(4): 192-199. doi: 10.6046/zrzyyg.2020348
Citation: LIU Zhizhong, SONG Yingxu, YE Runqing. 2021. An analysis of rainstorm-induced landslides in northeast Chongqing on August 31, 2014 based on interpretation of remote sensing images. Remote Sensing for Natural Resources, 33(4): 192-199. doi: 10.6046/zrzyyg.2020348

An analysis of rainstorm-induced landslides in northeast Chongqing on August 31, 2014 based on interpretation of remote sensing images

  • A rainstorm struck northeast Chongqing from August 31 to September 2, 2014. It triggered extensive landslides and resulted in casualties and serious economic losses. To learn the condition of the landslides induced by the rainstorm and analyze the relationship between the landslides and rainfall, this study obtains the distribution of the landslides through the interpretation of high-resolution satellite remote sensing images before and after the rainstorm using RS and GIS techniques. It can be concluded that complicated geological tectonic conditions and corresponding unique tectonic erosion landform pattern make northeast Chongqing become the center of the rainstorm and also lead to the frequent occurrence of rainfall-triggered landslides in this area. Landslides will continuously occur when the maximum daily rainfall and accumulated rainfall exceed 80 mm and 160 mm, respectively, and extensive landslides will occur when the maximum daily rainfall and accumulated rainfall exceed 100 mm and 210 mm, respectively. Furthermore, landslides are the most liable to occur in windward slopes with a gradient of about 25°. Therefore, the regional topography should be taken into account in the analysis and prediction of rainfall-induced geological disasters to improve the accuracy of spatial and temporal prediction and analysis of geological hazards.
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