资源与生态学报

Journal of Resources and Ecology ›› 2014, Vol. 5 ›› Issue (2): 179-184.doi: 10.5814/j.issn.1674-764x.2014.02.011

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Representation of Agricultural Best Management Practices in a Fully Distributed Hydrologic Model：A Case Study in the Luoyugou Watershed

WU Hui1,2, LIU Yongbo1,3, LIU Junzhi4, ZHU A-Xing1,5   

  1. 1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2 University of Chinese Academy of Sciences, Beijing 100049, China;
    3 Department of Geography, University of Guelph, Guelph, Ontario, N1G 2W1, Canada;
    4 Nanjing Normal University, Nanjing 210097, China
    5 Department of Geography, University of Wisconsin-Madison, Madison, WI 53706, USA
  • Received:2014-01-20 Revised:2014-04-08 Online:2014-06-18 Published:2014-06-06
  • Contact: LIU Yongbo. Email：lyongbo@uoguelph.ca. E-mail:lyongbo@uoguelph.ca
  • Supported by:

    the Major Science and Technology Program for Water Pollution Control and Treatment (No. 2013ZX07103006-005) and the National Science and Technology Support Program (No. 2013BAC08B03-4).

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Abstract: Agricultural Best Management Practices (BMPs) are effective ways to reduce agricultural nonpoint source pollution from their source area to receiving water bodies. Characterization of BMPs in a watershed model is a critical prerequisite for evaluating their impacts on water quantity and water quality in a complex system. However, limited research has reported about the representation of BMPs in fully distributed models. This paper presents a stepwise procedure for representation of several BMPs and assessment of their hydrologic impacts with a fully distributed model, SEIM (Spatially Explicit Integrated Modeling). A case study is conducted in the 73 km2 Luoyugou watershed located in the Loess Plateau of China, where rainstorm erosion accounts for more than 60% of annual sediment load in average. Three BMPs are selected in this study including (ⅰ) conversion from farmland to forest, (ⅱ) terrace, and (ⅲ) no-till farming. These management practices are represented in the model through the alteration of model parameters characterizing their physical processes in the field. The results of scenario assessment for a historical storm event showed that the maximum sediment reduction after terrace is about 97.3%, the average sediment reduction after no-till farming is about 9.5%, and the average sediment reduction after conversion from farmland to forest is 75.6%.

Key words: best management practice, erosion, watershed model, representation of BMPs, SEIM