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

Abstract

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 Berguedà 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.

This study was partly funded by the Spanish national projects SMuCPhy and EROSLOP (BIA 2015-67500-R and PID2019-104266RB-I00/AEI/10.13039/501100011033). Zizheng Guo acknowledges the financial support of China Scholarship Council for his research at UPC BarcelonaTECH, Fundamental Research Funds for National Universities, China University of Geosciences (Wuhan), and China Shaanxi Province key research program (No.2019ZDLSF07-07-02).

Peer Reviewed

Postprint (author's final draft)