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

doi:10.1007/s00477-021-02134-6

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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Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

23 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 (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.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	297-312
Sayfa sayısı	16
Dergi	Stochastic Environmental Research and Risk Assessment
Hacim	36
Basın numarası	2
DOI'lar	https://doi.org/10.1007/s00477-021-02134-6
Yayın durumu	Yayınlandı - 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.

Finansörler	Finansör numarası
King Khalid University	1/174/42
Deanship of Scientific Research, King Saud University

Belgeye Erişim

10.1007/s00477-021-02134-6

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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

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.",

keywords = "AHP, Fuzzy logic, Morphometric parameter, Soil erosion, Watershed",

author = "Meshram, {Sarita Gajbhiye} and Singh, {Vijay P.} and Ercan Kahya and Mehdi Sepehri and Chandrashekhar Meshram and Hasan, {Mohd Abul} and Saiful Islam and Duc, {Pham Anh}",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.",

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month = feb,

doi = "10.1007/s00477-021-02134-6",

language = "English",

volume = "36",

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AU - Meshram, Sarita Gajbhiye

AU - Singh, Vijay P.

AU - Kahya, Ercan

AU - Sepehri, Mehdi

AU - Meshram, Chandrashekhar

AU - Hasan, Mohd Abul

AU - Islam, Saiful

AU - Duc, Pham Anh

PY - 2022/2

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N2 - 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.

AB - 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.

KW - AHP

KW - Fuzzy logic

KW - Morphometric parameter

KW - Soil erosion

KW - Watershed

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DO - 10.1007/s00477-021-02134-6

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AN - SCOPUS:85120058126

SN - 1436-3240

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JO - Stochastic Environmental Research and Risk Assessment

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ER -

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

Özet

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

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