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Geomorphological and historical data in assessing landslide hazard

机译:评估滑坡灾害的地貌和历史数据

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摘要

Traditionally, earth scientists assess landslide occurrence on the basis of geomorphological investigations carried out through aerial photograph interpretation and fieldwork. Conversely, local administrators primarily evaluate the impact of natural catastrophes, such as landsliding, on the basis of historical records and data. Owing to the substantial difference in the structure and spatial density of these two types of information, it is difficult to compare them directly and few investigators have attempted this. We compared landslide information derived from geomorphological mapping and historical data in a pilot area (the Staffora river basin, northern Italy). To do this we generated two multivariate statistical models where the dependent variable was either the mapped landslide deposits (geomorphological mode), or the historical sites affected by landslide-induced damage (historical model). By quantitatively comparing these two model maps, we demonstrate that the geomorphological model performs better in terms of percentage of terrain units correctly predicted as stable or unstable. The historical model underestimates landslide hazard mainly where human structures are lacking. However, it highlights slopes where landslide movements take place with a high frequency at the temporal scale of human life. Hence, the joint use of these two models may facilitate the knowledge of the overall instability conditions of a given region and the identification of the landslides that are most frequently reactivated.
机译:传统上,地球科学家根据通过航空照片解释和野外工作进行的地貌调查来评估滑坡的发生。相反,地方行政人员主要根据历史记录和数据评估自然灾害的影响,例如山体滑坡。由于这两类信息的结构和空间密度存在很大差异,因此很难直接进行比较,而且很少有研究者尝试这样做。我们在试点地区(意大利北部斯塔法拉河流域)中比较了从地貌映射和历史数据得出的滑坡信息。为此,我们生成了两个多元统计模型,其中因变量是映射的滑坡矿床(地貌模式)或受滑坡诱发的破坏影响的历史遗址(历史模型)。通过定量比较这两个模型图,我们证明,就正确预测为稳定或不稳定的地形单位的百分比而言,地貌模型的性能更好。历史模型低估了主要在缺乏人文结构的地方发生滑坡的危险。但是,它突出显示了在人类生活的时间尺度上发生高频率滑坡运动的斜坡。因此,这两个模型的联合使用可以促进对给定区域的整体不稳定性条件的了解以及对最经常被重新激活的滑坡的识别。

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