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Spatial hazard analysis and prediction on rainfall—induced landslide using GIS
引用本文:LANHengxing WUFaquan ZHOUChenghu WANGLingjuan. Spatial hazard analysis and prediction on rainfall—induced landslide using GIS[J]. 科学通报(英文版), 2003, 48(7): 703-708. DOI: 10.1007/BF03325659
作者姓名:LANHengxing WUFaquan ZHOUChenghu WANGLingjuan
作者单位:[1]StateKeyLaboratoryofResourcesandEnvironmentalSystem,Insti-tuteofGeographicScienceandNaturalResourcesResearch,ChineseAcademyofSciences,Beijing100101,China [2]InstituteofGeologyandGeophysics,ChineseAcademyofSciences,Beijing100029,China [3]InstituteofRemoteSensingApplication,CDhineseAcademyofSci-ences,Beijing100101,China
摘    要:The application of landslide hazard model cou-pled with GIS provides an effective means to spatial hazard analysis and prediction on rainfall-induced landslides.A modified SINMAP model is established based upon the sys-tematic investigation on previous GIS-hased landslide analy-sis models.By integrating the landslide deterministic model with the hydrological distribution model based on DEM,this model deeply studied the effect of underground water dis-tribution due to reinfall on the slope stability and landslide occurrence,including the effect of dynamic water pressure resulting from the dowm slope seepage process as well as that of static water pressure.Its applicability has been testified on the Xiaojiang watershed,the rainfall-induced landslides widespread area in Southeast China.Detailed discussion WAS carried out on the spatial distribution characteristics of landslide hazard and its extending trend,as well as the quantitative relationship between landslide hazard with pre-cipitation,slope angle and specific catchment area in the Xiaojiang watershed.And the precipitation threshold for landslide occurrence was estimated.These analytical results are proved useful for geohazard control and engineering decision-making in the Xiaojiang watershed.

关 键 词:降雨引起塌方 空间危险分析 灾害预测 地理信息系统 GIS
收稿时间:2002-07-03
修稿时间:2002-10-08

Spatial hazard analysis and prediction on rainfall-induced landslide using GIS
Hengxing Lan,Faquan Wu,Chenghu Zhou,Lingjuan Wang. Spatial hazard analysis and prediction on rainfall-induced landslide using GIS[J]. Chinese science bulletin, 2003, 48(7): 703-708. DOI: 10.1007/BF03325659
Authors:Hengxing Lan  Faquan Wu  Chenghu Zhou  Lingjuan Wang
Affiliation:LAN Hengxing1, WU Faquan2, ZHOU Chenghu1 & WANG Lingjuan3 1. State Key Laboratory of Resources and Environmental System, Insti-tute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101,China; 2. Institute of Geology and Geophysics,Chinese Academy of Sciences, Beijing 100029,China; 3. Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101,China
Abstract:The application of landslide hazard model cou-pled with GIS provides an effective means to spatial hazard [(analysis and predic)(tion on)] rainfall-induced landslides. A modified SINMAP model is established based upon the sys-tematic investigation on previous GIS-based landslide analy-sis models. By integration the landslide deterministic model with the hydrological distribution model based on DEM, this model deeply studied the effect of underground water dis-tribution due to rainfall on the slope stability and landslide occurrence, including the effect of dynamic water pressure resulting from the down slope seepage process as well as that of static water pressure. Its applicability has been testified on the Xiaojiang watershed, the rainfall-induced landslides widespread area in Southeast China. Detailed discussion was carried out on the spatial distribution characteristics of landslide hazard and its extending trend, as well as the quantitative relationship between landslide hazard with pre-cipitation, slope angle and specific catchment area in the Xiaojiang watershed. And the precipitation threshold for landslide occurrence was estimated. These analytical results are proved useful for geohazard control and engineering decision-making in the Xiaojiang watershed.
Keywords:rainfall-induced landslide  spatial analysis and prediction   Geographical Information System.
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