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基于GIS的河南省电网工程地质灾害风险区评价研究 被引量:3

Study on risk area assessment of geological hazards of power grid projectin Henan Province based on GIS
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摘要 地质灾害危险性评价是电网工程规划选址的重要组成部分,因此针对影响河南省电网工程建设和安全运行的地质环境因素特点,选取了坡高、坡度、坡面斜率、岩土体类型、河网水系、地质构造、地震峰值加速度、植被指数、矿山分布、路网密度、年降雨量、降雨强度及灾点密度13个因素作为评价指标,并利用人工网络分析方法确定了各因素的权重。在此基础上,利用GIS的多因素空间拟合功能,得到河南省电网工程地质灾害风险区评价图。结果表明,河南省大部分地区为无风险和低风险区,地质灾害不发育,适宜电网工程的建设,河南省地质灾害多发区主要分布在南部太行山脉、豫西和豫南地区。研究结果可为河南省电网线路规划和防灾减灾工程提供一定的理论依据和科学指导。 Risk assessment of geological hazards is an important part of the selection of the power grid project.Therefore,according to the characteristics of the geological environment factors affecting the construction and safe operation of the power grid project in Henan Province,13 impact factors including slope height,gradient of slope,rock and soil type,river network water system,geological structure,seismic peak acceleration,vegetation index,mine distribution,road network density,annual rainfall,rainfall intensity,and disaster location density are used as evaluation indicators,and the weight of each factor is determined by the artificial neural networks.On this basis,using the multi-factor spatial fitting function of GIS,the grading map of geological hazard assessment of power grid project in Henan Province is obtained.The results indicate that most areas in Henan Province are risk-free and low-risk areas,with fewer geological disasters and suitable for the construction of transmission lines.Geological disasters prone areas are mainly distributed in the southern Taihang Mountains,western and southern Henan province.The results of the study can provide theoretical basis and scientific guidance for the planning of power grid project in Henan Province.
作者 孙才华 范小光 刘强 方林 Sun Caihua;Fan Xiaoguang;Liu Qiang;Fang Lin(State Grid Henan Electric Power Company,Zhengzhou 450052,China;Henan electric power survey&design institute,Power Construction Corporation of China,Zhengzhou 450007,China;Institute of Natural Resources Monitoring and Land Improvement of Henan Province,Zhengzhou 450000,China)
出处 《能源与环保》 2023年第7期140-146,共7页 CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金 中国电建集团河南省电力勘测设计院有限公司科研项目(2022-KJ016)。
关键词 人工神经网络法 不良地质灾害 电网工程 风险区评价 artificial neural networks adverse geological hazards power grid project risk area assessment
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