Geospatial Landslide Risk Mapping Using AHP and GIS: A Case Study of the Utcubamba River Basin, Peru

Ocaña Zúñiga,Candy Lisbeth

Geospatial Landslide Risk Mapping Using AHP and GIS: A Case Study of the Utcubamba River Basin, Peru

dc.contributor.author	Ocaña Zúñiga,Candy Lisbeth
dc.date.accessioned	2026-01-22T20:18:54Z
dc.date.available	2026-01-22T20:18:54Z
dc.date.issued	2025-08-28
dc.description.abstract	This study examines the use of a spatial multi-criteria approach based on GIS and AHP techniques to model landslide risk in the Utcubamba river basin, Peru. The methodology consisted of selecting twelve triggering variables: slope angle, geology, precipitation, distance to faults, drainage density, TWI, relative relief, profile curve, land use, elevation, distance to roads, and distance to population centers. These variables were then analyzed using the AHP method and then integrated into a GIS environment, where the weighted linear combination (WLC) method was used to map landslide risk. The risk was categorized into five classes, ranging from very low (1) to very high (5). The main results indicate that 32.81% of the area analyzed in the Utcubamba river basin presents a high and very high risk of landslides. The high-risk areas are mainly located in the southern part of the basin and coincide with areas with steep slopes, high rainfall, and proximity to population centers or communication routes. The model generated was highly accurate (AUC of 0.82), confirming that the integration of the AHP method with GIS allows for the precise identification of critical areas, which is useful for territorial planning, the prioritization of interventions, and emergency management, making it a reliable and replicable methodology in other parts of Peru.
dc.format	application/pdf
dc.identifier.doi	https://doi.org/10.1016/j.tfp.2024.100659
dc.identifier.uri	http://hdl.handle.net/20.500.14689/1063
dc.language.iso	eng
dc.publisher	Applied Sciences
dc.publisher.country	CH
dc.rights	info:eu-repo/semantics/openAccess
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.source	Universidad Nacional de Jaén\|\|Repositorio Institucional – UNJ
dc.subject	geospatial analysis
dc.subject	remote sensing
dc.subject	multicriteria analysis
dc.subject.ocde	https://purl.org/pe-repo/ocde/ford#1.05.00
dc.title	Geospatial Landslide Risk Mapping Using AHP and GIS: A Case Study of the Utcubamba River Basin, Peru
dc.type	info:eu-repo/semantics/article
dc.type.version	info:eu-repo/semantics/publishedVersion
renati.author.dni	44798819