无限斜坡模型在县域地质灾害危险性评价中的应用——以四川金阳县为例
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1中国地质调查局地质灾害防治技术中心,四川 成都 611734;2中国地质科学院探矿工艺研究所,四川 成都 611734

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P642.2

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中国地质调查局地质调查项目(编号:DD20230087)


Application of infinite slope model in geological hazard risk assessment in county areas: Taking Jinyang County in Sichuan Province as an example
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1Technical Center for Geological Hazard Prevention and Control,China Geological Survey, Chengdu Sichuan 611734, China;2Institute of Exploration Technology, CAGS, Chengdu Sichuan 611734, China

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    摘要:

    本文以四川金阳县域为研究区,针对区域地质灾害危险性评价需求,探讨了无限斜坡模型在县域地质灾害危险性评价中的应用。本研究采用斜坡单元作为评价单元,基于高精度地形数据、地质调查数据,应用简化入渗模型计算降雨入渗深度,完成模型参数输入。借助ARCGIS平台,实现了基于无限斜坡模型的县域地质灾害危险性分区与评价,并将评价结果与历史灾害数据、INSAR解译数据进行对比验证。结果表明,该方法适用于县域尺度地质灾害危险性的精细化评估,评价结果可靠、操作性强,可为区域风险防控与土地规划提供科学依据。

    Abstract:

    This article takes Jinyang County in Sichuan Province as the research area and explores the application of the infinite slope model in the assessment of geological hazard risk in the county, in response to the demand for regional geological hazard risk assessment. This study used slope units as evaluation units, and based on high-precision terrain data and geological survey data, applies a simplified infiltration model to calculate rainfall infiltration depth and complete model parameter input. With the help of the ARCGIS platform, a county-level geological hazard zoning and evaluation based on the infinite slope model was achieved, and the evaluation results were compared and verified with historical disaster data and INSAR interpretation data. The results indicate that this method is suitable for fine assessment of geological hazard risk at the county level, with reliable evaluation results and strong operability, and can provide scientific basis for regional risk prevention and land planning.

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李金洋,易靖松,张勇,等.无限斜坡模型在县域地质灾害危险性评价中的应用——以四川金阳县为例[J].钻探工程,2026,53(3):116-122.
LI Jinyang, YI Jingsong, ZHANG Yong, et al. Application of infinite slope model in geological hazard risk assessment in county areas: Taking Jinyang County in Sichuan Province as an example[J]. Drilling Engineering, 2026,53(3):116-122.

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  • 收稿日期:2025-09-03
  • 最后修改日期:2025-11-26
  • 录用日期:2025-12-01
  • 在线发布日期: 2026-05-07
  • 出版日期: 2026-05-10
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