Technical Papers
Oct 31, 2016

Impacts of Rainfall, Soil Type, and Land-Use Change on Soil Erosion in the Liusha River Watershed

Publication: Journal of Hydrologic Engineering
Volume 22, Issue 4

Abstract

To assess the impacts of rainfall and land-use changes on soil erosion, the Liusha River watershed in China was chosen as a case study for its representative topography and climate. Investigations were conducted using the soil and water assessment tool (SWAT) model and maps of land-use and soil types, together with meteorological data from six gauging stations. The Nash-Sutcliffe efficiency Ens (0.84 and 0.75), correlation coefficient R2 (0.93 and 0.90), and percent bias (PBIAS) (+13.36 and 34.88%) values attained during the calibration (1985–1994) and validation periods (1995–2006), respectively, indicate that the SWAT can be used in this area to simulate the average annual soil erosion under different land-use scenarios. Two scenarios of land-use change, namely the conversion of farmland to forest and the conversion of grassland to farmland, were used to estimate runoff and sediment yield under typical rainfall conditions. In both land-use change scenarios, the value of sediment-yield change caused by land-use change increased with rain intensity, while the rate of sediment-yield change remained unchanged. Of the different soil types investigated, the greatest variation in sediment yield caused by land-use change occurred where loess is the underlying surface. Red soil shows the next greatest variation, followed by black and finally purple soil. The sensitivity of the four soils to the rate of sediment-yield variations is the opposite, with purple soil being the most sensitive, followed by red then black soils, and loess displaying the least sensitivity. The results of this study provide a reference that can assist in the evaluation of benefits of soil conservation projects in different regions and inform investment decisions.

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Acknowledgments

This study was supported by the National Natural Science Foundation of China (51379076) and the 13th Five-Year National Key Research and Development Program of China (2016YFC0401407).

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 22Issue 4April 2017

History

Received: Oct 16, 2015
Accepted: Aug 30, 2016
Published online: Oct 31, 2016
Discussion open until: Mar 31, 2017
Published in print: Apr 1, 2017

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Shanghong Zhang [email protected]
Professor, Renewable Energy School, North China Electric Power Univ., Beijing 102206, China (corresponding author). E-mail: [email protected]
Yueqiang Li
Postgraduate Student, Renewable Energy School, North China Electric Power Univ., Beijing 102206, China.
Weiwei Fan
Postgraduate Student, Renewable Energy School, North China Electric Power Univ., Beijing 102206, China.
Associate Professor, State Key Laboratory of Water Environment Simulation and Pollution Control, School of Environment, Beijing Normal Univ., Beijing 100875, China. E-mail: [email protected]

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