A global-scale applicable framework of landslide dam formation susceptibility

IF 5.8 2区 工程技术 Q1 ENGINEERING, GEOLOGICAL
Hang Wu, Mark A. Trigg, William Murphy, Raul Fuentes, Salvatore Martino, Carlo Esposito, Gian Marco Marmoni, Gabriele Scarascia Mugnozza
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Abstract

The formation and failure of landslide dams is an important and understudied, multi-hazard topic. A framework of landslide dam formation susceptibility evaluation was designed for large-scale studies to avoid the traditional dependence on landslide volume calculations based on empirical relationships, which requires comprehensive local inventories of landslides and landslide dams. The framework combines logistic regression landslide susceptibility models and global fluvial datasets and was tested in Italy and Japan based on landslide and landslide dam inventories collected globally. The final landslide dam formation susceptibility index identifies which river reach is most prone to landslide dam formation, based on the river width and the landslide susceptibility in the adjacent delineated slope drainage areas. The logistic regression models showed good performances with area under the receiver operating characteristics curve values of 0.89 in Italy and 0.74 in Japan. The index effectively identifies the probability of landslide dam formation for specific river reaches, as demonstrated by the higher index values for river reaches with past landslide dam records. The framework is designed to be applied globally or for other large-scale study regions, especially for less studied data-scarce regions. It also provides a preliminary evaluation result for smaller catchments and has the potential to be applied at a more detailed scale with local datasets.

Abstract Image

全球范围内适用的滑坡坝形成敏感性框架
滑坡坝的形成和溃决是一个重要的、未得到充分研究的多灾种课题。为避免传统的基于经验关系的滑坡体积计算,需要对当地的滑坡和滑坡坝进行全面的清查,我们为大规模研究设计了一个滑坡坝形成易损性评估框架。该框架结合了逻辑回归滑坡易发性模型和全球河流数据集,并根据全球收集的滑坡和滑坡坝清单在意大利和日本进行了测试。最终的滑坡坝形成易发性指数根据河流宽度和邻近划定的斜坡排水区的滑坡易发性,确定了哪条河流最容易形成滑坡坝。逻辑回归模型显示出良好的性能,意大利和日本的接收器工作特性曲线下面积分别为 0.89 和 0.74。该指数能有效识别特定河段滑坡坝形成的概率,有过去滑坡坝记录的河段的指数值较高就证明了这一点。该框架可应用于全球或其他大规模研究地区,尤其是研究数据较少的地区。该框架还为较小的流域提供了初步评估结果,并有可能通过本地数据集应用于更详细的规模。
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来源期刊
Landslides
Landslides 地学-地球科学综合
CiteScore
13.60
自引率
14.90%
发文量
191
审稿时长
>12 weeks
期刊介绍: Landslides are gravitational mass movements of rock, debris or earth. They may occur in conjunction with other major natural disasters such as floods, earthquakes and volcanic eruptions. Expanding urbanization and changing land-use practices have increased the incidence of landslide disasters. Landslides as catastrophic events include human injury, loss of life and economic devastation and are studied as part of the fields of earth, water and engineering sciences. The aim of the journal Landslides is to be the common platform for the publication of integrated research on landslide processes, hazards, risk analysis, mitigation, and the protection of our cultural heritage and the environment. The journal publishes research papers, news of recent landslide events and information on the activities of the International Consortium on Landslides. - Landslide dynamics, mechanisms and processes - Landslide risk evaluation: hazard assessment, hazard mapping, and vulnerability assessment - Geological, Geotechnical, Hydrological and Geophysical modeling - Effects of meteorological, hydrological and global climatic change factors - Monitoring including remote sensing and other non-invasive systems - New technology, expert and intelligent systems - Application of GIS techniques - Rock slides, rock falls, debris flows, earth flows, and lateral spreads - Large-scale landslides, lahars and pyroclastic flows in volcanic zones - Marine and reservoir related landslides - Landslide related tsunamis and seiches - Landslide disasters in urban areas and along critical infrastructure - Landslides and natural resources - Land development and land-use practices - Landslide remedial measures / prevention works - Temporal and spatial prediction of landslides - Early warning and evacuation - Global landslide database
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