A comparative study of soil erosion modelling by MMF, USLE and RUSLE

被引：41

作者：

Mondal, Arun ^{[1
]}

Khare, Deepak ^{[1
]}

Kundu, Sananda ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Water Resources Dev & Management, Roorkee, Uttar Pradesh, India

来源：

GEOCARTO INTERNATIONAL | 2018年 / 33卷 / 01期

关键词：

Soil erosion; MMF; USLE; RUSLE; LOSS PREDICTION; GIS; CATCHMENT; INDIA; RISK;

D O I：

10.1080/10106049.2016.1232313

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：89 / 103

页数：15

共 45 条

[1] Geospatial comparison of four models to predict soil erodibility in a semi-arid region of Central India [J].

Adhikary, Partha Pratim ;

Tiwari, S. P. ;

Mandal, Debashis ;

Lakaria, Brij Lal ;

Madhu, M. .

ENVIRONMENTAL EARTH SCIENCES, 2014, 72 (12) :5049-5062

[2]

[Anonymous], 1997, PREDICTING SOIL EROS

[3]

[Anonymous], CLIMATE CHANGE AGR I

[4]

[Anonymous], 1969, T ASABE, DOI DOI 10.13031/2013.38945

[5]

[Anonymous], 2005, SOIL EROSION CONSERV, DOI DOI 10.1111/J.1365-2389.2005.0756F.X

[6] 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

[7] 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

[8] Land use, soil erosion, and sediment yield at Pinto Lake, California: comparison of a simplified USLE model with the lake sediment record [J].

Boyle, John F. ;

Plater, Andy J. ;

Mayers, Claire ;

Turner, Simon D. ;

Stroud, Rob W. ;

Weber, Jerry E. .

JOURNAL OF PALEOLIMNOLOGY, 2011, 45 (02) :199-212

[9]

Brady N.C., 2000, Elements of the nature and properties of soils

[10]

Cochrane TA, 1999, J SOIL WATER CONSERV, V54, P678

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