| 基于RS与GIS的汶川地区地质灾害易发性评价分析 |
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| 引用本文： | 黄维江,曾涛,谢玉凤.基于RS与GIS的汶川地区地质灾害易发性评价分析[J].测绘与空间地理信息,2015(9):34-37. |
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| 作者姓名： | 黄维江 曾涛 谢玉凤 |
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| 作者单位： | 成都理工大学地球科学学院,四川成都,610059 |
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| 基金项目： | 低空遥感地质灾害信息快速提取及分析技术(KZZ029) |
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| 摘 要： | 通过对汶川县2008年landsat5和2014年landsat8遥感影像解译提取了地质灾害信息,利用DEM数据对2014年地质灾害的面积在高程、坡度、坡向等致灾因子下进行统计,利用层次分析法和熵权计分别计算主观和客观权重,进行权重拟合得到综合权重,建立起灾害敏感性评价模型对灾害的易发性进行预测。结果表明:震后新增地质灾害面积与2008年预测的高易发区叠加对比进行验证,两者空间分布基本一致,85.71%的新增地质灾害发生在预测高易发区,面积约为344.94 km2,验证结果良好,表明2014年汶川地质灾害易发性评价结果具备较高的可靠性和可行性。
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| 关 键 词： | 信息提取 层次分析法 熵权 易发性评价 |
Geological Disasters Susceptibility Evaluation and Analysis Based on RS and GIS in Wenchuan Area |
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| Abstract: | Geological disaster now happens more frequently in the region that had happened the earthquake.Continued monitoring, e-valuation and analysis of geological disasters contribute to preventing and mitigating geological disaster.Through the interpretation of the 2008 landsat5 and 2014 landsat8 remote sensing image of Wenchuan County, this paper got the geological disaster information. 20014 Geological disasters in hazard area elevation, slope, aspect, etc was statisticed by Use DEM data.Using Analytical Hierarchy Process and Entropy Weights to calculate subjective weights and objective weights.Fitting weight to get synthesis weights.Establishing an evaluation model of disaster sensitivity to predict disaster-prone.The prediction results show that ecological disaster most likely occurs in the district which has an elevation between 1 000~2 000 m, a slope between 30°~45°and rare vegetation along the Min-jiang River.Contrasting the new geological disaster area after the earthquake to the 2008 forecast of high-prone areas to verify the su-perposition, Both the spatial distribution are basically the same.85.71% of new geological disasters occurred in predicting high-prone areas, an area of about 344.94 km2 , Verification result is good.It Shows that 2014 Wenchuan prone geological disasters evalu-ation results has high reliability and feasibility. |
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| Keywords: | extraction analytic hierarchy process entropy weight susceptibility assessment |
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