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基于信息量模型的云南东川泥石流易发性评价
引用本文:孙滨,祝传兵,康晓波,叶雷,刘益.基于信息量模型的云南东川泥石流易发性评价[J].中国地质灾害与防治学报,2022,33(5):119-127.
作者姓名:孙滨  祝传兵  康晓波  叶雷  刘益
作者单位:1.昆明理工大学国土资源工程学院,云南 昆明 650093
摘    要:以东川泥石流为研究对象,选取高程、坡度、坡向、起伏度、曲率、工程岩组、距断层距离、距水系距离、土地利用类型9个影响因子,以研究区144条泥石流为样本数据,建立了东川泥石流易发性评价体系。基于GIS平台,采用信息量模型计算各个评价指标状态分级的信息量值,以小流域为评价单元使用自然间断法将研究区泥石流易发程度分为极高、高、中和低4个易发区等级。结果表明:研究区极高易发区和高易发区发生泥石流灾害数量占比94.44%,AUC值为0.876,表明选取评价指标合理,信息量模型适用于东川泥石流易发性评价研究。

关 键 词:泥石流    易发性评价    信息量模型    东川
收稿时间:2022-04-04

Susceptibility assessment of debris flows based on information model in Dongchuan,Yunnan Province
Affiliation:1.Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China2.Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, MNR, Kunming, Yunnan 650093, China3.Yunnan Geological Environment Monitoring Institute, Kunming, Yunnan 650216, China4.Yunnan Dianxiang Mining Industry Consultants Co. Ltd., Kunming, Yunnan 650217, China
Abstract:In this paper, taking debris flow in Dongchuan as the research object, nine influence factors are chosen as the selected indices, including the elevation, slope, aspect, relief, curvature, engineering rock group, distance to faults, distance to faults rivers, and land use types, sample data from 144 debris flows in the study area are used to establish the Dongchuan debris flow susceptibility assessment system. Based on the information model and GIS platform, the information vaule of each factor classification is calculated, and the natural discontinuity method is used to divide the debris flow susceptibility into 4 levels: extremely high-prone areas, high-prone areas, medium-prone areas, and low-prone areas in the study area. The results show that the number of debris flow disasters in the extremely high and high-risk areas in the study area accounted for 94.44%, and the AUC value was 0.876, indicating that the selection of evaluation indicators was reasonable, and the information model was suitable for the evaluation of debris flow susceptibility in Dongchuan.
Keywords:
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