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

Meshram S. G., Singh V. P., Kahya E., Sepehri M., Meshram C., Abul Hasan M., ...More

STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, vol.36, no.2, pp.297-312, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 2
  • Publication Date: 2022
  • Doi Number: 10.1007/s00477-021-02134-6
  • Journal Name: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Compendex, Environment Index, Geobase, Index Islamicus, Pollution Abstracts, zbMATH, Civil Engineering Abstracts
  • Page Numbers: pp.297-312
  • Keywords: Watershed, Morphometric parameter, Soil erosion, AHP, Fuzzy logic, MULTICRITERIA DECISION-MAKING, SOLID-WASTE MANAGEMENT, FLOOD RISK, FLUORIDE CONTAMINATION, SUSCEPTIBILITY, TOPSIS, MODEL, PRIORITIZATION, VULNERABILITY, CATCHMENT
  • Istanbul Technical University Affiliated: Yes

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 (R-c), form factor (R-f), elongation ratio (R-e), compactness coefficient (C-c), drainage density (D-d), stream frequency (F-s), texture ratio (T), relief ratio (R-h), relative relief (R-r), ruggedness number (R-N), bifurcation ratio (R-b), average slope (S-a), length of overland flow (L-o), 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.