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基于地理信息系统和加权信息量的茂县地质灾害易发性评价
引用本文:陈慧敏,杨尽,向明顺,杨文博. 基于地理信息系统和加权信息量的茂县地质灾害易发性评价[J]. 科学技术与工程, 2021, 21(29): 12490-12499
作者姓名:陈慧敏  杨尽  向明顺  杨文博
作者单位:成都理工大学地球科学学院,成都610059;成都理工大学旅游与城乡规划学院,成都610059;青藏高原及其东缘人文地理研究中心(成都理工大学),成都610059
基金项目:国家自然科学基金(42071232);四川省科技支撑计划项目(2020YFS0308)
摘    要:以茂县为研究区,选取坡度、起伏度和道路等8个因子构建评价指标体系,通过信息量法、确定系数法确定因子信息量值和权重,运用ArcGIS进行地质灾害易发性评价。结果显示,研究区高易发区面积345.62 km~2、较高易发区456.65 km~2、中易发区664.83 km~2、较低易发区943.71 km~2和低易发区1 488.34 km~2,分别占总面积的8.86%、11.71%、17.05%、24.20%和38.17%。对评价结果进行合理性检验和受试者特征曲线(receiver operate curve, ROC)的精度检验,检验结果表明评价具有合理性,且曲线下的面积(area under curve, AUC)值为0.882,即评价准确度较好。研究结果能为研究区的灾害防治和国土空间规划提供科学依据。

关 键 词:易发性评价  信息量模型  地质灾害  确定系数法
收稿时间:2021-05-23
修稿时间:2021-07-05

GIS and weighted information value assessments of geologic hazards in Maoxian County, Sichuan
Chen Huimin,Yang Jin,Xiang Mingshun,Yang Wenbo. GIS and weighted information value assessments of geologic hazards in Maoxian County, Sichuan[J]. Science Technology and Engineering, 2021, 21(29): 12490-12499
Authors:Chen Huimin  Yang Jin  Xiang Mingshun  Yang Wenbo
Abstract:Taking Maoxian County as the research area, eight factors, including slope, relief and roadway were selected to construct an evaluation index system. The information quantity method is used to determine the value of the factor information, and combined with the determination coefficient method to determine the factor weight, the ArcGIS is used to carry out the geological disaster susceptibility evaluation. The results show that the high-prone area in the study area covers an area of 345.62km2, a high-prone area of 456.65 km2, a medium-prone area of 664.83 km2, a low-prone area of 943.71 km2, and a low-prone area of 1488.34 km2, respectively accounting for 8.86%, 11.71%, 17.05%, 24.20% and 38.17% of the total area. The rationality test and ROC curve accuracy test of the evaluation results show that the evaluation is reasonable, and the AUC value is 0.882. That is, the evaluation accuracy is relatively better. The research results can provide a theoretical basis for disaster prevention and mitigation, monitoring and early warning, and land and space planning in the study area.
Keywords:risk assessment   information value model   geological hazard   certainty coefficient
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