Assessing erosion prone areas in a watershed using interval rough-analytical hierarchy process (IR-AHP) and fuzzy logic (FL)

Sarita Gajbhiye Meshram*, Vijay P. Singh, Ercan Kahya, Mehdi Sepehri, Chandrashekhar Meshram, Mohd Abul Hasan, Saiful Islam, Pham Anh Duc

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Soil erosion is one of the major land loss problems in agricultural land and is regarded as a serious environmental hazard worldwide. This study focused on watershed prioritization using morphometric parameters using Fuzzy Logic (FL), Interval Rough-Analytical Hierarchy Process (IR-AHP) and Geographic Information Systems (GIS) integration for Gusru Watershed, India. Fourteen morphometric parameters, including circulatory ratio (Rc), form factor (Rf), elongation ratio (Re), compactness coefficient (Cc), drainage density (Dd), stream frequency (Fs), texture ratio (T), relief ratio (Rh), relative relief (Rr), ruggedness number (RN), bifurcation ratio (Rb), average slope (Sa), length of overland flow (Lo), and hypsometric integral (HI) were evaluated to determine the erosion susceptibility. Each morphometric parameter was assigned a weight value by the FL and IR-AHP methods, and mapping and analysis were then carried out in the GIS environment. Our results showed that the sub-watersheds (SW) 9, 2, and 11 were most susceptible to soil erosion and the sub-watershed 1 was the least from the viewpoint of soil erosion ranking.

Original languageEnglish
Pages (from-to)297-312
Number of pages16
JournalStochastic Environmental Research and Risk Assessment
Volume36
Issue number2
DOIs
Publication statusPublished - Feb 2022

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

  • AHP
  • Fuzzy logic
  • Morphometric parameter
  • Soil erosion
  • Watershed

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