基于灾害面密度的区域地质灾害危险性评价
Regional geological hazard risk assessment considering the density of disaster areas
葛再洋 1薛兴太1
作者信息
- 1. 华东冶金地质勘查局八一一地质队,安徽 滁州 239000
- 折叠
摘要
为了解决已有区域地质灾害危险性评价忽略灾害面密度对评价结果的影响问题,文章以滁州市定远县为研究对象,构建静态与动态相结合的致灾因子指标评价体系,以灾害面密度因子优化原有的加权信息量评价模型,采用成功率曲线对评价结果进行验证,完成区域地质灾害危险性评价.结果表明:定远县地质灾害较高及高危险区分布面积为218.43 km2,占全县总面积的7.96%;中危险性区分布面积为433.28 km2,占全县总面积的15.76%;低及较低危险性区分布面积为2095.38 km2,占全县总面积的76.28%.成功率曲线对评价模型的验证度为 86.2%,说明在地质灾害危险性评价中使用灾害面密度数据优化信息量评价模型方法可靠,可以发挥定远县地质灾害防治的数据支撑作用.
Abstract
The existing regional geological hazard risk assessment often overlooks the impact of disaster area density on evaluation results.Taking Dingyuan County,Chuzhou City as the research object,this article established a combined static and dynamic evaluation system for disaster factor indicators,optimizes the original weighted information quantity evaluation model with disaster area density factors,and verifies the evaluation results using success rate curves to complete the regional geological hazard risk assessment.The results show that the high risk and relatively high risk areas in Dingyuan County cover 218.43 km2,accounting for 7.96%of the total area of the county;medium risk areas cover 433.28 km2,representing 15.76%of the county;and relatively low risk and low risk areas cover 2 095.38 km2,making up 76.28%of the county.Validation of the success rate curve shows an accuracy of 86.2%,indicating that the optimized regional geological hazard risk assessment results,incorporating disaster area density in the information content evaluation model,have good objectivity,which can provide guidance for the prediction and prevention of geological hazards in Dingyuan County.
关键词
地质灾害/灾害面密度/优化加权信息量模型/危险性评价/定远县Key words
geological hazards/disaster area density/weighted information model optimation/hazard assessment/Dingyuan County引用本文复制引用
基金项目
安徽省教育厅高校自然科学研究重点项目(KJ2021A1537)
出版年
2024
NETL
NSTL
万方数据