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

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17 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)297-312
Sayfa sayısı16
DergiStochastic Environmental Research and Risk Assessment
Hacim36
Basın numarası2
DOI'lar
Yayın durumuYayınlandı - Şub 2022

Bibliyografik not

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

Finansman

The authors thankfully acknowledge the Deanship of Scientific Research, King Khalid University, Abha, Kingdom of Saudi Arabia, for funding the research grant number RGP. 1/174/42.

FinansörlerFinansör numarası
King Khalid University1/174/42
Deanship of Scientific Research, King Saud University

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