Watershed Prioritization Using Morphometric Parameters and Multicriteria Analysis in the Las Flores, Chiapas, Mexico

The availability of water resources has significantly decreased in recent years. Therefore, it is essential to design comprehensive management strategies at the watershed level. This study included a methodological novelty by combining morphometric analysis with multicriteria analysis to prioritize sub-watersheds in the Las Flores Watershed (LFW), located in Chiapas, Mexico. The LFW catchment area covers 2517.96 km2 and was divided into 29 sub-watersheds. Morphometric analysis, based on physical characteristics (shape, stream network, and relief), allows us to infer the level of susceptibility to erosion of a watershed. However, to improve the prioritization of sub-watersheds, the erosion rate (EA) was estimated using the Universal Soil Loss Equation (USLE), as well as rainfall intensity and curve number. The results show that sub-watersheds SW20 and SW15 have the highest predicted EA values, that is, 234.76 and 222.10 t ha−1, respectively. The final prioritization framework established that the sub-watersheds classified as very high priority were SW20, SW28, SW15, SW21, and SW09, covering an area of 734.19 km2, corresponding to 29.16% of the total area of LFW. Therefore, in these sub-watersheds, the immediate implementation of water regulation structures and conservation practices is required to minimize their susceptibility to water erosion.

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Publication Details

Journal
Sustainability
Published
2026-02-09
DOI
https://doi.org/10.3390/su18041754
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
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article

Watershed Prioritization Using Morphometric Parameters and Multicriteria Analysis in the Las Flores, Chiapas, Mexico

Eileen Salinas-Cruz Salinas-Cruz, Blanca E. Santiago-Mejía, Adolfo López-Pérez, Gerardo Colín-García et al.
Sustainability
Groundwater and Watershed Analysis
article

Watershed Prioritization Using Morphometric Parameters and Multicriteria Analysis in the Las Flores, Chiapas, Mexico

Eileen Salinas-Cruz Salinas-Cruz, Blanca E. Santiago-Mejía, Adolfo López-Pérez, Gerardo Colín-García, Madai Sánchez-Galindo, Angel Saul Cruz-Ramírez
article en

Abstract

The availability of water resources has significantly decreased in recent years. Therefore, it is essential to design comprehensive management strategies at the watershed level. This study included a methodological novelty by combining morphometric analysis with multicriteria analysis to prioritize sub-watersheds in the Las Flores Watershed (LFW), located in Chiapas, Mexico. The LFW catchment area covers 2517.96 km2 and was divided into 29 sub-watersheds. Morphometric analysis, based on physical characteristics (shape, stream network, and relief), allows us to infer the level of susceptibility to erosion of a watershed. However, to improve the prioritization of sub-watersheds, the erosion rate (EA) was estimated using the Universal Soil Loss Equation (USLE), as well as rainfall intensity and curve number. The results show that sub-watersheds SW20 and SW15 have the highest predicted EA values, that is, 234.76 and 222.10 t ha−1, respectively. The final prioritization framework established that the sub-watersheds classified as very high priority were SW20, SW28, SW15, SW21, and SW09, covering an area of 734.19 km2, corresponding to 29.16% of the total area of LFW. Therefore, in these sub-watersheds, the immediate implementation of water regulation structures and conservation practices is required to minimize their susceptibility to water erosion.

SustainabilityVol. 18(4)
Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (MX), Colegio de Postgraduados (MX)
Life in Land, Clean water and sanitation
Openalex Percentile: Top 66%
Groundwater and Watershed Analysis
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Watershed Prioritization Using Morphometric Parameters and Multicriteria Analysis in the Las Flores, Chiapas, Mexico — Eileen Salinas-Cruz Salinas-Cruz, Blanca E. Santiago-Mejía, et al. · Sustainability (2026) | TGRS Research Map | TGRS