Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain): a heuristic-driven approach
[EN] The study area (Asturias, NW Spain) is a mountainous region extending over 10,000 km2, where shallow landslides triggered after heavy rainfall episodes are very frequent and pose a major threat and hazard to infrastructure and human populations, causing frequenteconomic losses and damage. In th...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/370216 |
| Acceso en línea: | http://hdl.handle.net/10261/370216 https://api.elsevier.com/content/abstract/scopus_id/85199535757 |
| Access Level: | acceso abierto |
| Palabra clave: | Susceptibility map Geological/geomorphological mapping Heuristic models Rainfall-induced landslides Asturias |
| Sumario: | [EN] The study area (Asturias, NW Spain) is a mountainous region extending over 10,000 km2, where shallow landslides triggered after heavy rainfall episodes are very frequent and pose a major threat and hazard to infrastructure and human populations, causing frequenteconomic losses and damage. In this regard, Shallow Landslide Susceptibility Mapping (SLSM) represents a very powerful tool for managers and agencies dealing with landslide hazards and land planning. Here we produced an SLSM based on basic geological/geomorphological maps and a heuristic approach. The regional-scale model built here has a cell resolution of 50 m and combines bedrock geology, and surface deposits mapped at a1:25k scale together with a digital slope model. The resulting map was compared with two local inventories of landslides, giving a goodness of fit of 80 and 77.5%. To better understand the results, the erroneous data have been reviewed individually and the causes of error were analysed. |
|---|