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Information Quantity Model Applied in Hazard Evaluation of Landslides—A Case Study of Fuling, Chongqing

Abstract— Based on RS, GIS technology and information quantity model, this paper will focus on the research of hazard evaluation method of landslides disaster in Fuling, Chongqing. Combining with theoretical basis of information quantity model, the evaluation method of this paper gives an improved model, and adds impacts of four dynamic factors: rainfall, water level changes, vegetation and landuse. It was agreed that the hazard evaluation result of landslides can be divided into five grade level: very high, high, moderate, low and very low. According to the comprehensive evaluation, the result shows that the improved information quantity model and the additional dynamic effects are reasonable, and demonstrates that this method is objective and can provide effective guarantee for geological disaster prevention of the research area. The whole evaluation functions of the hazard evaluation system of landslides are finally realized on the ArcGIS platform with its modelling capabilities and custom development mode.

Index Terms— information quantity model, hazard evaluation, remote sensing, GIS.

WenHao Ou, BinBin Zhao
Power transformer engineering research institute, China Electric Power Research Institute, CHINA
Yue Dai
National Marine Hazard Mitigation Service, CHINA

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Cite: WenHao Ou, BinBin Zhao, Yue Dai, "Information Quantity Model Applied in Hazard Evaluation of Landslides—A Case Study of Fuling, Chongqing," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 777-781, Tokyo, 17-19 June, 2016.