Abstract

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Title:: Potential Landslide Discrimination Model Based on Information of Earth Multi-sensor Net

Author(s):: KONG Ji-ming; HAN Pei-feng; ZHANG Yin; 1. Key Laboratory of Mountain Hazards and Surface Process, Chinese Academy of Sciences, Chengdu 610041, Sichuan, China; 2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources, Chengdu 610041, Sichuan, China; 3. University of Chinese Academy of Sciences, Beijing 100049, China

Keywords:: potential landslide; multi-sensor net; discrimination index; comprehensive discrimination model; induced factor; earthquake stricken area

Abstract:: Discrimination of potential landslide is the key question for landslides forecast, and the early discrimination of potential landslide can effectively reduce the disaster. Based on various factors induced by landslide disaster, potential landslides were monitored by the means of earth multi-source space-time information, earth multi-sensor net and remote sensing; the key information including landslide lithology, slope structure, landform shape and activity evidence were collected, and the main control factors induced by landslide disaster were selected from the key information; potential landslide multi-factor discrimination model was built based on multi-source information. Especially, according to the law of landslide disaster, the changes of landform shape, hazard condition and critical landslide induced condition during the potential landslides breed were analyzed, landslide control factor discrimination model was built based on different information sources. Finally, taking Kualiangzi landslide in Wenchuan earthquake disaster area as an example, the integrated discrimination model of potential landslide was verified and optimized in order to provide the basis of the early discrimination prediction of landslide disaster.