基于贡献率和熵值法耦合的崩塌灾害危险性评价——以川东南盆周山地灰岩地区为例
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国家自然科学基金面上项目(No.51678097;No.51378521)


Coupling Contribution Rate and Entropy Method for Landslide Hazard Assessment:A Case Study of the Limestone Mountain Areas around the Southeast Sichuan Basin
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    摘要:

    川东南盆周山地灰岩出露广布、崩塌灾害多发,对该区域进行崩塌灾害危险性分区评价十分必要。基于川东南盆周山地灰岩地区内地质环境的调查和分析,选取一处地跨重庆市武隆区、南川区和綦江区且以中山山地为主的灰岩地区为研究区,遴选出地层岩性、陡崖相对高差、高程、年平均降雨量、地形坡度、植被覆盖、距水系距离、距断裂构造距离、距道路距离等9个危险性评价指标;基于大量已发崩塌灾害并利用贡献率法定量计算单因子的贡献率,建立危险性评价指标分级赋值体系;利用熵值法计算各影响因子的权重系数,构建了贡献率法与熵值法耦合的崩塌灾害危险性评价模型,并基于ArcGIS系统利用等面积法实现多因子空间叠加的危险性分区与评价。结果显示:研究区极高危险区、高危险区、中危险区和低危险区面积占比分别为11%、30%、33.3%和25.7%。研究区内位于极高危险区、高危险区、中危险区和低危险区的乡镇分别有12、6、2和2个。研究结果为川东南盆周山地崩塌灾害的预警预报和防治工作提供了重要参考资料。

    Abstract:

    The limestone outcrops are widespread and landslides are frequent in the southeastern Sichuan Basin, so it is necessary to evaluate the risk zoning of landslides in this area. Based on the investigation and analysis of the geological environment in the limestone area of the southeastern Sichuan Basin, a limestone area covering Wulong District, Nanchuan District and Qijiang District of Chongqing City and mainly composed of mountainous areas was selected as the research area. Nine risk evaluation indexes were selected, including stratum lithology, relative height difference of steep cliffs, elevation, annual mean rainfall, topographic slope, vegetation coverage, distance from river system, distance from fault structure and distance from road. Then the contribution rate of single factor was calculated by using the contribution rate method of a large number of landslides, and the hierarchical assignment system of risk evaluation indexes was established. The weight coefficient of each influencing factor was calculated by using the entropy method, and the contribution weight model and entropy method were coupled to construct the landslide risk evaluation model. Finally, the multi-factor spatial superposition was realized by using the equal area method based on ArcGIS system. The results showed that the area proportions of extremely high risk area, high risk area, medium risk area and low risk area in the research area were 11%, 30%, 33.3% and 25.7%, respectively. There were 12, 6, 2 and 2 towns in the extremely high risk area, high risk area, medium risk area and low risk area in the research area, respectively. The research results provide important reference for the early warning and forecast of landslide disasters and the prevention and control of landslides in the southeastern Sichuan Basin.

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唐红梅,苗梦琦,周福川.基于贡献率和熵值法耦合的崩塌灾害危险性评价——以川东南盆周山地灰岩地区为例[J].重庆师范大学学报自然科学版,2023,40(6):38-51

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  • 在线发布日期: 2024-02-27