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Novel hybrid ravine vulnerability index‐based identification of potential reclamation zones for Western India

Bibliographic Data

ID21647748
AuthorsGaurav Singh (0000-0002-4630-9797, ICAR‐IISWC, Research Centre‐Vasad Anand Gujarat India, corresponding author), D Dinesh (0000-0002-0037-7970, ICAR‐IISWC, Research Centre‐Vasad Anand Gujarat India), P C Moharana (0000-0002-1207-0319, ICAR‐NBSSLUP Nagpur Maharashtra India), R S Singh (0000-0001-6358-489X, ICAR‐NBSSLUP Nagpur Maharashtra India), Saswat Kumar Kar (0000-0002-8075-5301, ICAR‐IISWC Dehradun Uttarakhand India), Vijay Kakade (ICAR‐NIASM Baramati Maharashtra India), Dinesh Jinger (0000-0002-8922-446X, ICAR‐IISWC, Research Centre‐Vasad Anand Gujarat India), Amit Kumar Singh (0000-0002-1975-561X, Directorate of Medicinal and Aromatic Plants Research), Raj Kumar (0009-0008-0653-3859, ICAR‐CSSRI Karnal Haryana India), P R Bhatnagar (ICAR‐CSSRI Karnal Haryana India), Gopal Kumar (0000-0002-4764-3690, ICAR‐IISWC Dehradun Uttarakhand India), M Madhu (0000-0002-0969-0939, ICAR‐IISWC Dehradun Uttarakhand India), B L Tailor (ICAR‐NBSSLUP Regional Centre Udaipur Rajasthan India)
Year2024
Volume35
Issue2
Pages849-866
Publication date2024-01-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4956
OpenAlexW4387939707
LanguageEN
References cited23

The ravine is often regarded as the worst instance of how water erosion is causing land deterioration. The farmers' livelihoods are often threatened by the ravine's expansion into the surrounding 50 m buffer zone, leaving them with no choice except to work as landless workers. Due to the high expense of ravine restoration, it is not economically possible to begin the process of reclamation in all of the ravine lands at once. As a result, it is necessary to recognize the prospective regions to bring in reclamation activities. In this work, the ravine vulnerability index for the Mahi ravine in Western India was developed using a cutting‐edge hybrid methodology. For the development of the ravine vulnerability index, it was determined that the sand, silt, clay, organic carbon, soil erodibility factor, slope, stream power index, topographic wetness index, sediment transport index, and cover factor were crucial components. Weights were applied to various parameters based on the perceived significance of each parameter in relation to another in the decision matrix of the analytical hierarchical process. The number of iterations made to reach a consistency ratio of under 10% to determine the final priority weights for each parameter. The sediment transport index had the lowest priority weight (1.4), whereas the sand had the highest priority weight (28.5). For reclamation purposes, the prospective active zones inside the designated ravine's 50‐m buffer zone, which covered an area of 63,031 acres, were determined. According to the ground truth‐validated ravine vulnerability index, possible reclamation zones were found in the 16,703 ha (26.50%) region of Mahi ravine, which was given extremely high priority. As per the Mahi ravine's land capacity classification, 20,275 ha (32.16%) of it is arable land, and 18,687 ha (29.65%) of it is non‐arable land that is ideal for soil and water conservation treatments

Archaeology · Cartography · Drainage density · Erosion · Geography · Geomorphology · Geotechnical engineering · Groundwater · Land reclamation · Ravine · Revegetation · Computer Science · Environmental Science · Flood Risk Assessment and Management · Hydrology and Watershed Management Studies · Soil erosion and sediment transport · Geology

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