| 基于GIS和双变量分析模型的三峡库区滑坡灾害易发性制图 |
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| 引用本文： | 白世彪,王建,闾国年,周平根,侯圣山,徐素宁.基于GIS和双变量分析模型的三峡库区滑坡灾害易发性制图[J].山地学报,2007,25(1):85-92. |
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| 作者姓名： | 白世彪 王建 闾国年 周平根 侯圣山 徐素宁 |
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| 作者单位： | 1. 南京师范大学地理科学学院,江苏,南京,210097
2. 中国地质环境监测院,北京,100081 |
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| 基金项目： | 国家重点基础研究发展计划(973计划);国家自然科学基金;面向21世纪教育振兴行动计划(985计划);江苏省高校自然科学基金;南京师范大学校科研和教改项目 |
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| 摘 要： | 在GIS技术的支持下,以三峡库区忠县-石柱河段为研究区域(面积260.9km2,滑坡分布面积5.3km2),建立了地质、地形数据库等滑坡因子空间数据库和滑坡空间分布数据库(数据比例尺均为1∶10万);在进行滑坡影响因子敏感性分析的基础上;对双变量分析模型进行了改进应用,对滑坡影响定量因子采用滑坡种子网格数据驱动的分级新方法。在GIS系统中进行了滑坡危险度评价成果图制图,将评价结果分为很低、低、中等、高、很高5个等级,依次占研究区域19.9%、31.69%、27.95%、17.1%和3.6%。评价结果显示危险性高和很高的区域主要分布在长江两岸,这与实际的滑坡分布吻合。研究结果对在三峡库区推广应用、防灾减灾具有实际指导意义。
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| 关 键 词： | 三峡库区 滑坡 数据驱动 双变量模型 易发性制图 |
| 文章编号： | 1008-2786-（2007）1-085-08 |
| 收稿时间： | 2006-06-13 |
| 修稿时间： | 2006-10-15 |
GIS-based and Data Drive Bivariate Landslide Susceptibility Mapping in the Three Gorge Area, China |
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| BAI Shibiao,WANG Jian,L Guonian,ZHOU Pinggen,HOU Shengshan,XU Suning.GIS-based and Data Drive Bivariate Landslide Susceptibility Mapping in the Three Gorge Area, China[J].Journal of Mountain Research,2007,25(1):85-92. |
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| Authors: | BAI Shibiao WANG Jian L Guonian ZHOU Pinggen HOU Shengshan XU Suning |
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| Institution: | 1. College of Geographic Science, Nanjing Normal University, Nanjing, 210097, China; 2 . Chinese Institute of Geological Environment Monitoring ,Belting 100081, China |
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| Abstract: | The construction of the Three Gorges Dam will dramatically increase the landslide risk in the area.Due to its complex nature,it's very difficult to predict the accurate occurring time of landslide.The current research is to do landslide hazard assessment and get accurate and detailed landslide susceptibility maps.The case study area is Zhongxian-Shizhu Segment which is known as one of the most landslide prone areas and selected as a suitable case to evaluate the frequency and distribution of landslide.The site covers area of 260.9 km2 with a landslide areas of 5.3 km2.Four data domains are used:remote sensing products,the matic maps,geological maps and topographical maps.The size of the pixels for all of the products is selected as 25 by 25 meters.Due to the uniformation of precipitation and earthquake,they are not considered for the analyses.The relationship between landslide occurrence possibilities and triggering factors is determined by using the landslide and it's causative factors databases.In this study,a new attempt is tried to produce landslide susceptibility map using GIS,A data driven methodology and objective bivariate analysis is used to produce the landslide hazard assessment map.All continuous parameter maps are converted to categorical variables according to the percentile divisions of seed cells,and corresponding weight values of each class is calculated and added up to create the final hazard map.According to the map,3.6 % of the study area is classified as extremely high susceptibility,17.1% of the study area is classified as high susceptibility,27.95% of the study area is classified as medium susceptibility,31.69% of the study area is classified as low susceptibility and 19.9% of the study area is classified as extremely low susceptibility.The results show that the high and very high hazardous zone is along both sides of Yangtze River,which agree with the actual distribution of landslide. |
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| Keywords: | GIS |
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