A global-scale applicable framework of landslide dam formation susceptibility

被引:0
|
作者
Wu, Hang [1 ]
Trigg, Mark A. [1 ]
Murphy, William [2 ]
Fuentes, Raul [3 ,4 ]
Martino, Salvatore [5 ,6 ]
Esposito, Carlo [5 ,6 ]
Marmoni, Gian Marco [5 ,6 ]
Mugnozza, Gabriele Scarascia [5 ,6 ]
机构
[1] Univ Leeds, Sch Civil Engn, Leeds, England
[2] Univ Leeds, Sch Earth & Environm, Leeds, England
[3] Rhein Westfal TH Aachen, Chair Geotech Engn, Aachen, Germany
[4] Rhein Westfal TH Aachen, Inst Geomech & Underground Technol, Aachen, Germany
[5] Univ Rome Sapienza, Dept Earth Sci, Rome, Italy
[6] Univ Rome Sapienza, Res Ctr Geol Risk CERI, Rome, Italy
关键词
Landslides; Landslide dams; Global scale; Susceptibility; Fluvial datasets; River hazards; LOGISTIC-REGRESSION; ROCK AVALANCHE; HYDROGRAPHY; PREDICTION; MOUNTAINS; EROSION; SLOPE; WIDTH;
D O I
10.1007/s10346-024-02306-9
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
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.
引用
收藏
页码:2399 / 2416
页数:18
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