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

Meshram Water Resources and Applied Mathematics Research Lab, Nagpur, 440027, India|
Pham Anh (57204816526) | Saiful (57209548983); Duc Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Viet Nam| Mohd Abul (57213274853); Islam Civil Engineering Department, College of Engineering, King Khalid University, PO Box 394, Abha, 61421, Saudi Arabia| Chandrashekhar (37023283600); Hasan Department of Post Graduate Studies and Research in Mathematics, Jayawanti Haksar Government Post Graduation College, College of Chhindwara University, Betul, 460001, India| Mehdi (57193890203); Meshram Department of Watershed Management, Faculty of Natural Resources, Yazd University, Yazd, Iran| Ercan (6601912349); Sepehri Tashkent Institute of Architecture and Civil Engineering, Tashkent, Uzbekistan| Vijay P. (57211219633); Kahya Department of Civil Engineering, Istanbul Technical University (ITU), Istanbul, 34469, Turkey| Sarita Gajbhiye (57190754999); Singh Department of Biological and Agricultural Engineering, Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX, United States|

Stochastic Environmental Research and Risk Assessment Số 2, năm 2022 (Tập 36, trang 297-312)

ISSN: 14363240

ISSN: 14363240

DOI:

Tài liệu thuộc danh mục:

Article

English

Từ khóa: Computer circuits; Erosion; Fuzzy logic; Geographic information systems; Soils; Textures; Watersheds; Agricultural land; Analytical Hierarchy Process; Environmental hazards; Fuzzy-Logic; Land loss; Morphometric parameters; Prioritization; Process information; Process logic; Soil erosion; Hierarchical systems
Tóm tắt tiếng anh
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. � 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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