Yeqi Zang, Yonggang Guo, Guowen Wang, Shengjie Wu
College of Water Conservancy and Civil Engineering, Tibet Agriculture and Animal Husbandry University, Linzhi, China.
Research Center of Civil, Hydraulic and Power Engineering of Tibet, Linzhi, China.
Heliyon. 2024 Aug 23;10(18):e36800. doi: 10.1016/j.heliyon.2024.e36800. eCollection 2024 Sep 30.
Southeastern Tibet features a complex geological environment and a high incidence of earthquakes. Earthquake-induced chain disasters pose a great threat to engineering construction and public safety in this area, and landslides are among the most frequent postearthquake disasters. To investigate the impact of earthquakes on landslides, this study constructed a comprehensive database for landslide susceptibility analysis based on various factors, including elevation, slope, slope direction, distances from roads and rivers, proximity to faults, land use patterns, rainfall patterns, and seismic parameters. By integrating the frequency ratio (FR) model with the analytic hierarchy process (AHP) model, this work delineated landslide susceptibility zones in southeastern Tibet. Subsequently, the susceptibility zoning layer was overlaid with the magnitude sensitivity layer and validated using ROC curve analysis to identify the earthquake magnitudes that exerted the greatest influence on landslides. Finally, by incorporating the distance from earthquake epicentres into our refined model framework, different monitoring levels for landslide susceptibility zoning were established. The AHP results show the relative importance of the landslide-influencing factors in southeastern Tibet can be ranked as follows: elevation, slope direction, distance from road, land use, distance from river, slope, and rainfall. The ROC values of the landslide models with seismic sensitivities of 1, 2 and 3 are 0.876, 0.883 and 0.877, respectively, indicating that earthquakes of magnitude 4 and above have a great influence on landslides in the study area. Through the overlay of the landslide susceptibility zoning map and the vector map of distance from seismic focal points, a correlation with the distance between landslide-prone areas and seismic focal points is identified. Within the extremely high susceptibility area and within 40 km of the focal point, there are 220 landslide points, accounting for approximately 34 % of the total landslides in the study area. Additionally, 133 landslide points are located in the extremely susceptible area and within 40-80 km of the focal point, representing approximately 20 % of the total landslides in the study area. The susceptible areas were assessed based on grades, resulting in the production of 4 maps depicting different levels of monitoring for landslide-prone areas. These maps are valuable tools for implementing landslide disaster prevention measures within the study area.
西藏东南部地质环境复杂,地震频发。地震引发的链式灾害对该地区的工程建设和公共安全构成了巨大威胁,山体滑坡是最常见的震后灾害之一。为了研究地震对山体滑坡的影响,本研究基于海拔、坡度、坡向、与道路和河流的距离、与断层的距离、土地利用模式、降雨模式和地震参数等多种因素,构建了一个用于山体滑坡敏感性分析的综合数据库。通过将频率比(FR)模型与层次分析法(AHP)模型相结合,本研究划定了西藏东南部的山体滑坡敏感性区域。随后,将敏感性分区图层与震级敏感性图层叠加,并使用ROC曲线分析进行验证,以确定对山体滑坡影响最大的地震震级。最后,通过将与地震震中的距离纳入我们改进后的模型框架,建立了不同的山体滑坡敏感性分区监测级别。层次分析法结果表明,西藏东南部影响山体滑坡的因素相对重要性排序如下:海拔、坡向、与道路的距离、土地利用、与河流的距离、坡度和降雨。地震敏感性为1、2和3的山体滑坡模型的ROC值分别为0.876、0.883和0.877,表明4级及以上地震对研究区域内的山体滑坡有很大影响。通过叠加山体滑坡敏感性分区图和地震震源距离矢量图,确定了易发生山体滑坡区域与地震震源之间的相关性。在极高敏感性区域且距离震源40公里范围内,有220个山体滑坡点,约占研究区域山体滑坡总数的34%。此外,133个山体滑坡点位于极高敏感性区域且距离震源40 - 80公里范围内,约占研究区域山体滑坡总数的20%。根据等级对敏感区域进行了评估,生成了4张描绘易发生山体滑坡区域不同监测级别的地图。这些地图是在研究区域内实施山体滑坡灾害预防措施的宝贵工具。