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A comparison of WEPP and SWAT for modeling soil erosion of the Zhangjiachong Watershed in the Three Gorges Reservoir Area

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  • Shen, Z.Y.
  • Gong, Y.W.
  • Li, Y.H.
  • Hong, Q.
  • Xu, L.
  • Liu, R.M.

Abstract

Soil and water conservation is important for the Three Gorges Reservoir Area in China, and quantification of soil loss is a significant issue. In this study, two widely used models - the Water Erosion Prediction Project (WEPP) and the Soil and Water Assessment Tool (SWAT) - were applied to simulate runoff and sediment yield for the Zhangjiachong Watershed in the Three Gorges Reservoir Area. The models were run and the simulated runoff and sediment yield values were compared with the measured runoff and sediment yield values. In the calibration period, the model efficiency (ENS) values for the WEPP and SWAT were 0.864 and 0.711 for runoff, and 0.847 and 0.678 for sediment yield, respectively. In the validation period, the ENS values for WEPP and SWAT were 0.835 and 0.690 for runoff, and 0.828 and 0.818 for sediment yield, respectively. The results of ENS and the other criteria indicate that the results of both models were acceptable. WEPP simulations were better than SWAT in most cases, and could be used with a reasonable confidence for soil loss quantification in the Zhangjiachong Watershed.

Suggested Citation

  • Shen, Z.Y. & Gong, Y.W. & Li, Y.H. & Hong, Q. & Xu, L. & Liu, R.M., 2009. "A comparison of WEPP and SWAT for modeling soil erosion of the Zhangjiachong Watershed in the Three Gorges Reservoir Area," Agricultural Water Management, Elsevier, vol. 96(10), pages 1435-1442, October.
  • Handle: RePEc:eee:agiwat:v:96:y:2009:i:10:p:1435-1442
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    References listed on IDEAS

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    1. Chanasyk, D. S. & Mapfumo, E. & Willms, W., 2003. "Quantification and simulation of surface runoff from fescue grassland watersheds," Agricultural Water Management, Elsevier, vol. 59(2), pages 137-153, March.
    2. Reshmidevi, T.V. & Jana, R. & Eldho, T.I., 2008. "Geospatial estimation of soil moisture in rain-fed paddy fields using SCS-CN-based model," Agricultural Water Management, Elsevier, vol. 95(4), pages 447-457, April.
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    1. Shifa Chen & Xuan Zha, 2016. "Evaluation of soil erosion vulnerability in the Zhuxi watershed, Fujian Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(3), pages 1589-1607, July.
    2. Tan, Q. & Huang, G.H. & Cai, Y.P., 2011. "Radial interval chance-constrained programming for agricultural non-point source water pollution control under uncertainty," Agricultural Water Management, Elsevier, vol. 98(10), pages 1595-1606, August.
    3. Shi, Yingyuan & Xu, Gaohong & Wang, Yonggui & Engel, Bernard A. & Peng, Hong & Zhang, Wanshun & Cheng, Meiling & Dai, Minglong, 2017. "Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool," Agricultural Water Management, Elsevier, vol. 182(C), pages 24-38.
    4. Qinqin Zhang & Fang Gu & Sicong Zhang & Xuehua Chen & Xue Ding & Zhonglin Xu, 2024. "Spatiotemporal Variation in Wind Erosion in Tarim River Basin from 2010 to 2018," Land, MDPI, vol. 13(3), pages 1-14, March.
    5. Paschalis Koutalakis & Georgios Gkiatas & Michael Xinogalos & Valasia Iakovoglou & Iordanis Kasapidis & Georgios Pagonis & Anastasia Savvopoulou & Konstantinos Krikopoulos & Theodoros Klepousniotis & , 2024. "Estimating Stream Bank and Bed Erosion and Deposition with Innovative and Traditional Methods," Land, MDPI, vol. 13(2), pages 1-29, February.
    6. Yan Yang & Guoqiang Wang & Lijing Wang & Jingshan Yu & Zongxue Xu, 2014. "Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
    7. Bruno Gianmarco Carra & Giuseppe Bombino & Manuel Esteban Lucas-Borja & Pietro Denisi & Pedro Antonio Plaza-Álvarez & Demetrio Antonio Zema, 2021. "Modelling the Event-Based Hydrological Response of Mediterranean Forests to Prescribed Fire and Soil Mulching with Fern Using the Curve Number, Horton and USLE-Family (Universal Soil Loss Equation) Mo," Land, MDPI, vol. 10(11), pages 1-31, October.
    8. Yamuna Giambastiani & Riccardo Giusti & Lorenzo Gardin & Stefano Cecchi & Maurizio Iannuccilli & Stefano Romanelli & Lorenzo Bottai & Alberto Ortolani & Bernardo Gozzini, 2022. "Assessing Soil Erosion by Monitoring Hilly Lakes Silting," Sustainability, MDPI, vol. 14(9), pages 1-20, May.

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