Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)

Txomin Bornaetxea (), Juan Remondo, Jaime Bonachea and Pablo Valenzuela
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Txomin Bornaetxea: Universidad del País Vasco (UPV/EHU)
Juan Remondo: Universidad de Cantabria
Jaime Bonachea: Universidad de Cantabria
Pablo Valenzuela: Universidad de Cantabria

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 118, issue 3, No 27, 2513-2542

Abstract: Abstract Similar to many mountainous regions of the world, landslides are a recurrent geological hazard in the Gipuzkoa province (northern Spain) that commonly cause damage to communication infrastructure, such as roads and railways. This geomorphological process also threatens buildings and human beings, albeit to a lesser degree. Over time, different institutions and academic research groups have individually collected crucial information on historic and ancient landslides in this region, resulting in various landslide inventories. However, these inventories have not been collectively assessed, and their suitability for landslide susceptibility modelling projects has often been assumed without comprehensive evaluation. In this study, we propose a simplified method to explore, describe, and compare the various landslide inventories in a specific study area to assess their suitability for landslide susceptibility modelling. Additionally, we present the results of an illustrative experiment that demonstrates the direct effect of using different inventories in landslide susceptibility modelling through a data-driven approach. We found that out of the five digitally available inventories in the study area, only three provide sufficient guarantees to be used as input data for susceptibility modelling. Furthermore, we observed that each individual inventory exhibited inherent biases, which directly influenced the resulting susceptibility map. We believe that our proposed methods can be easily replicated in other study areas where multiple landslide inventory sources exist, and that our work will induce other researchers to conduct preliminary assessments of their inventories as a critical step prior to any landslide susceptibility modelling project.

Keywords: Landslide inventory; Landslide susceptibility model; Gipuzkoa province; Data availability (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-023-06103-w

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