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Comparison of RUSLE and MMF Soil Loss Models and Evaluation of Catchment Scale Best Management Practices for a Mountainous Watershed in India

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dc.contributor.authorDas, Susanta
dc.contributor.authorDeb, Proloy
dc.contributor.authorBora, Pradip Kumar
dc.contributor.authorKatre, Prafull
dc.contributor.otherPunjab Agricultural University
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.contributor.otherIndira Gandhi Krishi Vishwavidyalaya (IGKV)
dc.date.accessioned2021-08-25T20:53:41Z
dc.date.available2021-08-25T20:53:41Z
dc.date.issued2020
dc.description.abstractSoil erosion from arable lands removes the top fertile soil layer (comprised of humus/organic matter) and therefore requires fertilizer application which affects the overall sustainability. Hence, determination of soil erosion from arable lands is crucial to planning conservation measures. A modeling approach is a suitable alternative to estimate soil loss in ungauged catchments. Soil erosion primarily depends on soil texture, structure, infiltration, topography, land uses, and other erosive forces like water and wind. By analyzing these parameters, coupled with geospatial tools, models can estimate storm wise and annual average soil losses. In this study, a hilly watershed called Nongpoh was considered with the objective of prioritizing critical erosion hazard areas within the micro-catchment based on average annual soil loss and land use and land cover and making appropriate management plans for the prioritized areas. Two soil erosion models namely Revised Universal Soil Loss Equation (RUSLE) and Modified Morgan-Morgan-Finney (MMF) models were used to estimate soil loss with the input parameters extracted from satellite information and automatic weather stations. The RUSLE and MMF models showed similar results in estimating soil loss, except the MMF model estimated 7.74% less soil loss than the RUSLE model from the watershed. The results also indicated that the study area is under severe erosion class, whereas agricultural land, open forest area, and scrubland were prioritized most erosion prone areas within the watershed. Based on prioritization, best management plans were developed at catchment scale for reducing soil loss. These findings and the methodology employed can be widely used in mountainous to hilly watersheds around the world for identifying best management practices (BMP).en_US
dc.format.mimetypeapplication/pdf
dc.identifier.citationDas, S., Deb, P., Bora, P., Katre, P. (2020): Comparison of RUSLE and MMF Soil Loss Models and Evaluation of Catchment Scale Best Management Practices for a Mountainous Watershed in India. Sustainability. 13(1).
dc.identifier.doi10.3390/su13010232
dc.identifier.orcidhttps://orcid.org/0000-0003-1928-5571
dc.identifier.orcidhttps://orcid.org/0000-0002-2285-3560
dc.identifier.urihttp://ir.ua.edu/handle/123456789/8066
dc.languageEnglish
dc.language.isoen_US
dc.publisherMDPI
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectsoil erosion
dc.subjectLULC
dc.subjectRUSLE
dc.subjectMMF
dc.subjectprioritization and management plan
dc.subjectSLOPE LENGTH
dc.subjectLAND-USE
dc.subjectCLIMATE-CHANGE
dc.subjectEROSION
dc.subjectGIS
dc.subjectRUNOFF
dc.subjectIMPACT
dc.subjectGreen & Sustainable Science & Technology
dc.subjectEnvironmental Sciences
dc.subjectEnvironmental Studies
dc.subjectScience & Technology - Other Topics
dc.subjectEnvironmental Sciences & Ecology
dc.titleComparison of RUSLE and MMF Soil Loss Models and Evaluation of Catchment Scale Best Management Practices for a Mountainous Watershed in Indiaen_US
dc.typetext
dc.typeArticle

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