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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/14936
Title: A comparative study of soil erosion modelling by MMF, USLE and RUSLE
Authors: Mondal A.
Khare, Deepak
Kundu S.
Published in: Geocarto International
Abstract: The quantitative assessment of spatial soil erosion is valuable information to control the erosion. The study area in a part of Narmada river in central India is selected. The main objective is to assess and compare the results obtained from three soil erosion models using GIS platform. Variation in the rate of erosion of the three models is compared considering varying slope, soil and land use of the area. Three models selected are Morgan–Morgan–Finney (MMF), Universal Soil Loss Equation (USLE) and Revised Universal Soil Loss Equation (RUSLE). The best fit or the most reliable model for the study area is selected after validation with the observed sedimentation data. The results give –39.45%, –9.60% and 4.80% difference in the values of sedimentation by MMF, USLE and RUSLE, respectively, from the observed data. Finally, RUSLE model has been found to be most reliable for the study area. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
Citation: Geocarto International (2018), 33(1): 89-103
URI: https://doi.org/10.1080/10106049.2016.1232313
http://repository.iitr.ac.in/handle/123456789/14936
Issue Date: 2018
Publisher: Taylor and Francis Ltd.
Keywords: MMF
RUSLE
Soil erosion
USLE
ISSN: 10106049
Author Scopus IDs: 56185631400
14060295600
56185410500
Author Affiliations: Mondal, A., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Khare, D., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Kundu, S., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Corresponding Author: Mondal, A.; Department of Water Resources Development & Management, Indian Institute of TechnologyIndia; email: arun.iirs@gmail.com
Appears in Collections:Journal Publications [WR]

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