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.author Das, Susanta
dc.contributor.author Deb, Proloy
dc.contributor.author Bora, Pradip Kumar
dc.contributor.author Katre, Prafull
dc.date.accessioned 2021-08-25T20:53:41Z
dc.date.available 2021-08-25T20:53:41Z
dc.date.issued 2020
dc.identifier.citation Das, 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). en_US
dc.identifier.uri http://ir.ua.edu/handle/123456789/8066
dc.description.abstract Soil 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.description.uri https://doi.org/10.3390/su13010232
dc.format.mimetype application/pdf
dc.language English en_US
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject soil erosion en_US
dc.subject LULC en_US
dc.subject RUSLE en_US
dc.subject MMF en_US
dc.subject prioritization and management plan en_US
dc.title Comparison of RUSLE and MMF Soil Loss Models and Evaluation of Catchment Scale Best Management Practices for a Mountainous Watershed in India en_US
dc.type text


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