| 于潇.基于 DEA和 GIS方法的地质灾害风险评价——以北京市平谷区为例[J].矿产勘查,2025,16(6):1527-1539 |
| 基于 DEA和 GIS方法的地质灾害风险评价——以北京市平谷区为例 |
| Geological hazard risk assessment based on DEA and GIS methods——the case of Pinggu District, Beijing, China |
| 投稿时间：2024-07-26 |
| DOI：10.20008/j.kckc.202506021 |
| 中文关键词: 地质灾害风险评价 GIS平台应用 SE-SBM-DEA模型 DEA-CCR模型 Tobit回归模型 |
| 英文关键词: geological disasters risk assessment GIS platform applications SE-DEA-SBM model DEA-CCRmodel Tobit model |
| 基金项目:本文受北京市平谷区地质灾害风险普查项目(CYCG_20_0161)资助。 |
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| 中文摘要: |
| 平谷区处于京津冀的几何中心位置，地质灾害频发，严重影响着区域社会稳定与发展建设，开展地质灾害风险评价正是支撑区域地质灾害防治与风险管理的重要一环。为有效避免地质灾害风险评价主观因素影响和评价因子量纲不统一的问题，本文以北京市平谷区为研究区，基于 GIS平台应用，利用 DEA方法中的 SE-SBM-DEA和 DEA-CCR模型分别开展危险性和易损性评价，并通过 Tobit回归模型来避免因子的相关性干扰，综合叠加完成平谷区地质灾害风险评价。评价结果显示:极高风险区、高危险性区域占全区面积的 27.63%，占总灾害点数量的 86.3%，灾害点分布与风险区划分具有很好的相关性，证明了 DEA方法在地质灾害风险评价中的适用性，也可为平谷区地质灾害防治工作提供参考依据。 |
| 英文摘要: |
| Pinggu District is at the geometric center of Beijing-Tianjin-Hebei region. The frequent occurrenceof geologic disasters in the region seriously affects the social stability and development of the region. Therefore, geo.hazard risk evaluation is an important part to support regional geohazard prevention and risk management. Thisstudy takes Pinggu District of Beijing as the study area. Based on the GIS platform application, the SE-SBM-DEAand DEA-CCR models in the Data Envelopment Analysis (DEA) framework were utilized to carry out hazard andvulnerability evaluations, respectively. And the Tobit regression model is employed to avoid the correlation interfer.ence of factors, and the comprehensive superposition completes the regional geohazard risk evaluation. This methodcan effectively avoid the influence of subjective factors in geohazard risk evaluation and the problem of inconsis.tency of evaluation factors. The results show that the extremely high-risk area and high-risk area account for27.63% of the total area of the district and 86.3% of the total number of disaster points. There is a good correlationbetween the distribution of disaster points and the division of risk zones. The applicability of the DEA method ingeologic disaster risk evaluation is proved. The results provide a reference basis for the prevention and control ofgeologic disasters in Pinggu District. |
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