FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides

被引:69
作者
Guo, Zizheng [1 ,2 ]
Torra, Ona [1 ]
Hurlimann, Marcel [1 ]
Abanco, Claudia [3 ]
Medina, Vicente [1 ]
机构
[1] UPC BarcelonaTECH, Dept Civil & Environm Engn, Div Geotech Engn & Geosci, Barcelona 08034, Spain
[2] Hebei Univ Technol, Sch Civil & Transportat Engn, Tianjin 300401, Peoples R China
[3] Univ Barcelona, Fac Earth Sci, Dept Mineral Petrol & Appl Geol, Barcelona 08028, Spain
关键词
Landslide susceptibility; !text type='Python']Python[!/text; QGIS plugin; Rainfall; Runoff; PHYSICALLY-BASED MODEL; SHALLOW LANDSLIDES; NORTHERN APENNINES; DEBRIS FLOWS; HAZARD; BASIN; PROBABILITY; GEOTOP; WATER; RISK;
D O I
10.1016/j.envsoft.2022.105354
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Shallow slope failures triggered by rainfall commonly pose considerable risks in mountainous areas. In order to delineate areas where landslides are more prone to occur within a region, we have designed and developed a Python QGIS plugin named Fast Shallow Landslide Assessment Model (FSLAM). The plugin integrates a simplified hydrological model and a geotechnical model based on the infinite slope theory and contains two principal modules: runoff and slope stability modelling. It can output up to 15 raster maps describing the hydrological and stability conditions in a short computational time. Firstly, we explain the design of graphical user interface and the elements of the plugin. Then, the Bergued`a area in NE Spain is used as case study to present the procedure of the plugin application. The results show that the accuracy of landslide susceptibility assessment performed by FSLAM-plugin is high and the computing time is only a few minutes.
引用
收藏
页数:16
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