Evaluation of the MIKE SHE Model for Application in the Loess Plateau, China1

Authors

  • Zhiqiang Zhang,

    1. Associated Professor and Graduate Student (Z. Zhang, Wang), College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
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  • Shengping Wang,

    1. Associated Professor and Graduate Student (Z. Zhang, Wang), College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
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  • Ge Sun,

    1. Research Hydrologist and Research Ecologist (Sun, McNulty), Southern Global Change Program, USDA Forest Service, 920 Main Campus Dr., Venture II, Suite 300, Raleigh, North Carolina 27606
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  • Steven G. McNulty,

    1. Research Hydrologist and Research Ecologist (Sun, McNulty), Southern Global Change Program, USDA Forest Service, 920 Main Campus Dr., Venture II, Suite 300, Raleigh, North Carolina 27606
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  • Huayong Zhang,

    1. Professor (H. Zhang), Energy and Environmental Research Center, North China Electric Power University, Beijing 102206, China
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  • Jianlao Li,

    1. Senior Engineers (Li, M. Zhang), Tianshui Soil & Water Conservation Experimental Station, Tianshui, Gansu Province, China
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  • Manliang Zhang,

    1. Senior Engineers (Li, M. Zhang), Tianshui Soil & Water Conservation Experimental Station, Tianshui, Gansu Province, China
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  • Eduard Klaghofer,

    1. Professor and Hydrologist (Klaghofer, Strauss), Institute for Land and Water Management Research, Federal Agency for Water Management, A-3252 Petzenkirchen, Austria
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  • Peter Strauss

    1. Professor and Hydrologist (Klaghofer, Strauss), Institute for Land and Water Management Research, Federal Agency for Water Management, A-3252 Petzenkirchen, Austria
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  • 1

    Paper No. JAWRA-07-0137-P of the Journal of the American Water Resources Association (JAWRA). Discussions are open until April 1, 2009.

(E-Mail/Zhang: Zhqzhang@bjfu.edu.cn).

Abstract

Abstract:  Quantifying the hydrologic responses to land use/land cover change and climate variability is essential for integrated sustainable watershed management in water limited regions such as the Loess Plateau in Northwestern China where an adaptive watershed management approach is being implemented. Traditional empirical modeling approach to quantifying the accumulated hydrologic effects of watershed management is limited due to its complex nature of soil and water conservation practices (e.g., biological, structural, and agricultural measures) in the region. Therefore, the objective of this study was to evaluate the ability of the distributed hydrologic model, MIKE SHE to simulate basin runoff. Streamflow data measured from an overland flow-dominant watershed (12 km2) in northwestern China were used for model evaluation. Model calibration and validation suggested that the model could capture the dominant runoff process of the small watershed. We found that the physically based model required calibration at appropriate scales and estimated model parameters were influenced by both temporal and spatial scales of input data. We concluded that the model was useful for understanding the rainfall-runoff mechanisms. However, more measured data with higher temporal resolution are needed to further test the model for regional applications.

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