Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain). A heuristic-driven approach
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 re...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
|
Series: | Journal of Maps |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/17445647.2024.2375094 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841557229909573632 |
---|---|
author | Rosana Menéndez-Duarte Jorge Marquínez Daniel Vázquez-Tarrío Francisco José Fernández |
author_facet | Rosana Menéndez-Duarte Jorge Marquínez Daniel Vázquez-Tarrío Francisco José Fernández |
author_sort | Rosana Menéndez-Duarte |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-4cfee40905c84b1abd39d992cbfae913 |
institution | Kabale University |
issn | 1744-5647 |
language | English |
publishDate | 2024-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Journal of Maps |
spelling | doaj-art-4cfee40905c84b1abd39d992cbfae9132025-01-06T14:32:05ZengTaylor & Francis GroupJournal of Maps1744-56472024-12-0120110.1080/17445647.2024.2375094Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain). A heuristic-driven approachRosana Menéndez-Duarte0Jorge Marquínez1Daniel Vázquez-Tarrío2Francisco José Fernández3Geology Departament, Oviedo University, Oviedo, SpainGeology Departament, Oviedo University, Oviedo, SpainGeological Survey of Spain (IGME, CSIC), Madrid, SpainGeology Departament, Oviedo University, Oviedo, SpainThe 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.https://www.tandfonline.com/doi/10.1080/17445647.2024.2375094Rainfall-induced landslidessusceptibility mapheuristic modelsgeological/geomorphological mapping |
spellingShingle | Rosana Menéndez-Duarte Jorge Marquínez Daniel Vázquez-Tarrío Francisco José Fernández Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain). A heuristic-driven approach Journal of Maps Rainfall-induced landslides susceptibility map heuristic models geological/geomorphological mapping |
title | Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain). A heuristic-driven approach |
title_full | Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain). A heuristic-driven approach |
title_fullStr | Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain). A heuristic-driven approach |
title_full_unstemmed | Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain). A heuristic-driven approach |
title_short | Shallow landslide susceptibility map at a regional scale (Asturias, NW Spain). A heuristic-driven approach |
title_sort | shallow landslide susceptibility map at a regional scale asturias nw spain a heuristic driven approach |
topic | Rainfall-induced landslides susceptibility map heuristic models geological/geomorphological mapping |
url | https://www.tandfonline.com/doi/10.1080/17445647.2024.2375094 |
work_keys_str_mv | AT rosanamenendezduarte shallowlandslidesusceptibilitymapataregionalscaleasturiasnwspainaheuristicdrivenapproach AT jorgemarquinez shallowlandslidesusceptibilitymapataregionalscaleasturiasnwspainaheuristicdrivenapproach AT danielvazqueztarrio shallowlandslidesusceptibilitymapataregionalscaleasturiasnwspainaheuristicdrivenapproach AT franciscojosefernandez shallowlandslidesusceptibilitymapataregionalscaleasturiasnwspainaheuristicdrivenapproach |