Flood Susceptibility in the Lower Course of the Coyuca River, Mexico: A Multi-Criteria Decision Analysis Model

José Vladimir Morales-Ruano (), Maximino Reyes-Umaña (), Francisco Rubén Sandoval-Vázquez, Hilda Janet Arellano-Wences, Justiniano González-González and Columba Rodríguez-Alviso
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José Vladimir Morales-Ruano: Centro de Ciencias de Desarrollo Regional, Universidad Autónoma de Guerrero, Acapulco 39640, Mexico
Maximino Reyes-Umaña: Centro de Ciencias de Desarrollo Regional, Universidad Autónoma de Guerrero, Acapulco 39640, Mexico
Francisco Rubén Sandoval-Vázquez: Facultad de Estudios Superiores de Cuautla (FESC), UAEM, Av. Universidad No. 1001, Col. Chamilpa, Cuernavaca 62209, Mexico
Hilda Janet Arellano-Wences: Centro de Ciencias de Desarrollo Regional, Universidad Autónoma de Guerrero, Acapulco 39640, Mexico
Justiniano González-González: Centro de Ciencias de Desarrollo Regional, Universidad Autónoma de Guerrero, Acapulco 39640, Mexico
Columba Rodríguez-Alviso: Centro de Ciencias de Desarrollo Regional, Universidad Autónoma de Guerrero, Acapulco 39640, Mexico

Sustainability, 2022, vol. 14, issue 19, 1-24

Abstract: Flooding due to climate change is recurrent and has intensified in the lower course of the Coyuca River. This paper implements a multivariate analysis, including conditioning and triggering factors to develop flood susceptibility mapping in an information-deprived region to help prevent/mitigate flooding. Flood-susceptible areas were identified using the multi-criteria decision analysis (MCDA) methodology, specifically, with the hierarchy analysis process (AHP). Four conditioning and one triggering influence factors were analyzed. The influence weights of each variable were determined using Saaty’s methodology (AHP). Thematic maps for each variable were created and multiplied by their influence value using the raster calculator and added to their variable group to obtain the flood susceptibility map. The findings showed that the susceptibility to flooding was very high in 41.82%, high in 35.95%, medium in 21.25% and low in 0.98% of the study areas. It was revealed that 44.44% of the localities occupy areas of very high susceptibility to flooding. Susceptibility increases in the localities closest to the river.

Keywords: Coyuca de Benítez; multi-criteria decision analysis (MCDA); Analytical Hierarchy Process (AHP); flood susceptibility; GIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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