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竹溪县滑坡灾害易发性分区评价

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根据前人研究经验及竹溪县滑坡灾害发育特点,选取地层岩性、高程、坡度、坡向、植被覆盖率和距断层距离 6 个因子作为基础因素,人类工程活动、降雨、同类灾害面密度和不同类灾害面密度4 个因子作为诱发因素,采用层次分析法及CRITIC法分别确定主观和客观权重,利用基于矩估计理论的综合赋权方法对主、客观权重进行线性组合赋权,并与信息量法结合;基于GIS平台根据竹溪县地貌特点将其划分成斜坡单元;对不同因子图层根据综合赋权信息量法进行叠加,从而得到研究区的滑坡灾害易发性分区图并对其评价,利用ROC曲线对分区结果及分区方法进行验证.将竹溪县划分为斜坡单元并结合综合赋权信息量法进行滑坡灾害易发性分区评价,具有较高的准确性,结果表明该模型方法可靠且适用.
Zoning evaluation of landslide hazard susceptibility in Zhuxi County
According to the previous research experience and the characteristics of landslide disaster development in Zhuxi County,six factors including stratigraphic lithology,elevation,slope,slope direction,vegetation coverage rate and distance from fault were selected as the basic factors.Human engineering activities,rainfall,density of similar disaster surface and density of different disaster surface are as triggering factors.The main weight and the objective weight were determined by the analytic hierarchy process(AHP)and the criteria importance though intercrieria correlation(CRITIC)method respectively.The comprehensive weight method based on the moment estimation theory was used to carry out the linear combination weight for the main weight and the objective weight,and combined with the information quantity method.Based on GIS platform,Zhuxi County was divided into slope units according to its landform characteristics.Different factor map layers were superimposed according to the comprehensive weighted information method to obtain the landslide hazard susceptibility zoning map of the study area and evaluate it.Receiver operating characteristic(ROC)curve was used to verify the zoning results and zoning methods.In this paper,Zhuxi County is divided into slope units and combined with the comprehensive weighted information method to evaluate the landslide hazard susceptibility zoning with high accuracy.The results show that the model method is reliable and applicable.

landslidesusceptibility zonecomprehensive weighting methodslope unitweighted information value

刘伟淇、张家铭

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中国地质大学(武汉) 工程学院,湖北 武汉 430074

滑坡 易发性分区 综合赋权法 斜坡单元 加权信息量

国家自然科学基金项目

42177166

2024

自然灾害学报
中国地震局工程力学所 中国灾害防御协会

自然灾害学报

CSTPCD北大核心
影响因子:0.862
ISSN:1004-4574
年,卷(期):2024.33(1)
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