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

被引:51
作者
Mondal, Arun [1 ]
Khare, Deepak [1 ]
Kundu, Sananda [1 ]
Meena, Pramod Kumar [1 ]
Mishra, P. K. [2 ]
Shukla, Rituraj [1 ]
机构
[1] Indian Inst Technol, Dept Water Resources Dev & Management, Roorkee 247667, Uttar Pradesh, India
[2] Natl Inst Hydrol, Water Resources Syst Div, Roorkee 247667, Uttar Pradesh, India
关键词
Soil erosion; Climate change; Downscaling; Least-square support vector machine (LS-SVM); Statistical downscaling model (SDSM); Universal soil loss equation (USLE); SUSPENDED SEDIMENT; RAINFALL EROSIVITY; WATER EROSION; PRECIPITATION; RUNOFF; MODEL; SCENARIOS; GIS; PREDICTION; TRANSPORT;
D O I
10.1061/(ASCE)HE.1943-5584.0001065
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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 (73.04t/ha/year current rate) than in less slope (3.01t/ha/year at current rate) regions. Waste land type of land use (15.15t/ha/year at current rate), and sandy loam (25.45t/ha/year at current rate) and sandy clay loam (23.03t/ha/year at current rate) soil types, give a higher rate of erosion than other land use and soil types.
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页数:12
相关论文
共 72 条
[1]   Downscaling precipitation to river basin in India for IPCCSRES scenarios using support vector machine [J].
Anandhi, Aavudai ;
Srinivas, V. V. ;
Nanjundiah, Ravi S. ;
Kumar, D. Nagesh .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2008, 28 (03) :401-420
[2]   Role of predictors in downscaling surface temperature to river basin in India for IPCC SRES scenarios using support vector machine [J].
Anandhi, Aavudai ;
Srinivas, V. V. ;
Kumar, D. Nagesh ;
Nanjundiah, Ravi S. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2009, 29 (04) :583-603
[3]  
[Anonymous], ESAPWP193
[4]  
[Anonymous], LISS 3 IM PURCH DAT
[5]  
[Anonymous], 1978, PREDICTING RAINFALL
[6]  
[Anonymous], ASTER GDEM
[7]   The impact of changes in climate and land use on soil erosion, transport and deposition of suspended sediment in the River Rhine [J].
Asselman, NEM ;
Middelkoop, H ;
van Dijk, PM .
HYDROLOGICAL PROCESSES, 2003, 17 (16) :3225-3244
[8]   The effect of soil erosion on Europe's crop yields [J].
Bakker, Martha M. ;
Govers, Gerard ;
Jones, Robert A. ;
Rounsevell, Mark D. A. .
ECOSYSTEMS, 2007, 10 (07) :1209-1219
[9]   Differences of MMF and USLE Models for Soil Loss Prediction along BTC and SCP Pipelines [J].
Bayramov, Emil ;
Buchroithner, Manfred F. ;
McGurty, Eileen .
JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2013, 4 (01) :81-96
[10]   Impact of climate change on the water cycle and nutrient losses in a Finnish catchment [J].
Bouraoui, F ;
Grizzetti, B ;
Granlund, K ;
Rekolainen, S ;
Bidoglio, G .
CLIMATIC CHANGE, 2004, 66 (1-2) :109-126