摘要
夷陵区地形和地质条件复杂,尤其在强降雨和人类工程活动的影响下,地质灾害发生的风险不断增加。以宜昌市夷陵区904处地质灾害点为例,采用高分辨率DEM数据构建栅格模型,初步选取坡度、高程、坡向、地形起伏度、曲率、断裂、距水系距离、距道路距离、土地利用类型、植被覆盖度等10个地质数据指标,再通过现场调查和相关性分析筛选出9个关键的评价指标,最后结合ArcGIS平台信息驱动模型,对研究区的地质灾害开展易发性评价。结果表明,坡度、植被覆盖度和距水系距离显著影响地质灾害的发生频率和强度;研究区可划分为极高、高、中和低等4个易发性等级,其中樟村坪镇、三斗坪镇和乐天溪镇等地区表现出极高易发性。研究表明,该评价方法能有效预测夷陵区的地质灾害风险,为地质灾害防治区划提供参考依据。
The Yiling District features complex topography and geological conditions.Under the influence of heavy rainfall and human engineering activities,the risk of geological hazards is increasingly prominent.This study,based on data from 904 geological hazard sites in Yiling District and high-resolution DEM data,firstly preliminarily selected 10 evaluation indicators.Subsequently,through field investigation and correlation analysis,9 key factors were ultimately determined:slope,elevation,aspect,curvature,distance to faults,distance to water systems,distance to roads,land use type,and vegetation coverage.Finally,the Information Value Model was applied via the ArcGIS platform to assess geological hazard susceptibility in the study area.The results indicate that slope,vegetation coverage,and water system distribution significantly control the occurrence of geological hazards.The study area can be zoned into four susceptibility levels:very high,high,medium,and low.The very high susceptibility areas are primarily concentrated in Zhangcunping Town,Sandouping Town,and Letianxi Town.The findings of this research can provide a scientific basis for geological hazard risk management,prevention,and mitigation planning in Yiling District.
作者
黄维
贲琰棋
袁晶晶
艾东
吴岸
杨鑫
孙新月
刘洋
田锐敏
李攀
Huang Wei;Ben Yanqi;Yuan Jingjing;Ai Dong;Wu An;Yang Xin;Sun Xinyue;Liu Yang;Tian Ruimin;Li Pan(The Seventh Geological Brigade of Hubei Geological Bureau,Yichang 443100,China;Yichang Key Laboratory of Geological Resources and Geological Engineering,Yichang 443100,China;Hubei Key Laboratory of Disaster Prevention and Mitigation,China Three Gorges University,Yichang 443002,China;Yiling District Bureau of Natural Resources and Planning,Yichang City,Yichang 443100,China)
出处
《资源环境与工程》
2025年第6期751-758,779,共9页
Resources Environment & Engineering
基金
宜昌市夷陵区科技计划项目(2023B-104)。
关键词
地质灾害
易发性评价
信息驱动模型
夷陵区
geological hazard
susceptibility assessment
information-driven model
Yiling District
