首页> 外文期刊>Environmental earth sciences >Robust landslide susceptibility analysis by combination of frequency ratio, heuristic GIS-methods and ground truth evaluation for a mountainous study area with poor data availability in the Three Gorges Reservoir area, PR China
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Robust landslide susceptibility analysis by combination of frequency ratio, heuristic GIS-methods and ground truth evaluation for a mountainous study area with poor data availability in the Three Gorges Reservoir area, PR China

机译:通过频率比,启发式GIS方法和地面实况评估相结合的稳健性滑坡敏感性分析,对中国三峡水库地区数据贫乏的山区研究区域进行了分析

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摘要

Increasing number of geohazards, like mass movements, is one of the main environmental impacts following the impoundment of the Yangtze River and its tributaries due to the inventory of the Three Gorges Dam hydroelectric power plant. Although many cities and settlements are endangered, no detailed hazard mapping is possible because of the huge size of the affected area. Due to strongly limited data availability, a robust landslide susceptibility model was established exemplarily for the Xiangxi catchment as one of the main tributaries. The analyses were limited to translational, rotational and combined landslides in soft rock sediments because these represent the main types of mass movement activity in this area. The qualitative landslide susceptibility analysis was carried out by a combination of frequency ratio analyses and a heuristic iterative index-based method using a Geographical Information System. As conditioning factors, the parameters lithology, slope angle, -aspect, -curvature, drainage buffer distance and land use were applied. To improve the objectivity of the index-based method, the results of frequency ratio analyses were taken into consideration to assess the importance of each factor. Model verification and evaluation by ground truth enable to improve the model by iterative calculations and to identify the best performance model. Results indicate that 89 % of all known landslides are located within areas showing high susceptibility according to the best performance model. The study demonstrates that a rather simple but robust model achieves good results and is applicable for regional landslide susceptibility analyses in mountainous areas with poor data availability.
机译:由于三峡大坝水力发电厂的蓄水,继长江及其支流的蓄水之后,诸如群众运动之类的地质灾害数量增加是主要的环境影响之一。尽管许多城市和居民区都处于濒危状态,但由于受灾地区巨大,因此无法绘制详细的危害图。由于数据的可利用性非常有限,为湘西流域作为主要支流之一示例性地建立了鲁棒的滑坡敏感性模型。分析仅限于软岩沉积物中的平移,旋转和组合滑坡,因为它们代表了该地区质量运动的主要类型。定性滑坡敏感性分析是通过使用频率信息分析和基于地理信息系统的基于启发式迭代指数的方法相结合进行的。作为条件因素,应用了岩性,坡度,纵横比,曲率,排水缓冲距离和土地利用等参数。为了提高基于索引的方法的客观性,考虑了频率比率分析的结果以评估每个因素的重要性。通过地面真实性进行模型验证和评估,可以通过迭代计算来改进模型,并确定最佳性能模型。结果表明,根据最佳性能模型,所有已知的滑坡中有89%位于显示高磁化率的区域内。该研究表明,一个相当简单但稳健的模型可以取得良好的结果,适用于数据可用性较差的山区的区域滑坡敏感性分析。

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