Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15071
Title: Impact of climate change on future soil erosion in different slope, land use, and soil-type conditions in a part of the Narmada River Basin, India
Authors: Mondal A.
Khare D.
Kundu S.
Meena P.K.
Mishra P.K.
Shukla R.
Published in: Journal of Hydrologic Engineering
Abstract: Soil erosion is one of the major hazards affected by the climate change, particularly the changed precipitation trend. The present paper has generated future precipitation by downscaling general circulation model (GCM, HADCM3) data of A2 scenario in a part of the Narmada River Basin in Madhya Pradesh, India, to obtain future impact of climate change on soil erosion. Least-square support vector machine (LS-SVM) and statistical downscaling model (SDSM) models were used for downscaling, and the universal soil loss equation (USLE) model was used for estimating soil loss. The results were analyzed with different slope, land use, and soil category. Outcome showed an increase in future precipitation with the resultant increase in soil erosion, with a positive change of 18.09 and 58.9% in years 2050s and 2080s respectively in LS-SVM, while it is decreasing in the year 2020s (-5.47%). Rate of change of soil erosion with SDSM is 15.52 and 105.80% in years 2050s and 2080s respectively, and decrease in the 2020s (-8.51%). The soil erosion rate is more in steep slopes (73.04 t/ha/year current rate) than in less slope (3.01 t/ha/year at current rate) regions. Waste land type of land use (15.15 t/ha/year at current rate), and sandy loam (25.45 t/ha/year at current rate) and sandy clay loam (23.03 t/ha/year at current rate) soil types, give a higher rate of erosion than other land use and soil types. © 2014 American Society of Civil Engineers.
Citation: Journal of Hydrologic Engineering (2015), 20(6): -
URI: https://doi.org/10.1061/(ASCE)HE.1943-5584.0001065
http://repository.iitr.ac.in/handle/123456789/15071
Issue Date: 2015
Publisher: American Society of Civil Engineers (ASCE)
Keywords: Climate change
Downscaling
Least-square support vector machine (LS-SVM)
Soil erosion
Statistical downscaling model (SDSM)
Universal soil loss equation (USLE)
ISSN: 10840699
Author Scopus IDs: 56185631400
14060295600
56185410500
56513694100
57201865282
56185981500
Author Affiliations: Mondal, A., Dept. of Water Resources Development and Management, Indian Institute of Technology, Roorkee, 247667, India
Khare, D., Dept. of Water Resources Development and Management, Indian Institute of Technology, Roorkee, 247667, India
Kundu, S., Dept. of Water Resources Development and Management, Indian Institute of Technology, Roorkee, 247667, India
Meena, P.K., Dept. of Water Resources Development and Management, Indian Institute of Technology, Roorkee, 247667, India
Mishra, P.K., Water Resources Systems Division, National Institute of Hydrology, Roorkee, 247667, India
Shukla, R., Dept. of Water Resources Development and Management, Indian Institute of Technology, Roorkee, 247667, India
Corresponding Author: Mondal, A.; Dept. of Water Resources Development and Management, Indian Institute of TechnologyIndia
Appears in Collections:Journal Publications [WR]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.