PROGRESS IN GEOGRAPHY ›› 2013, Vol. 32 ›› Issue (4): 570-579.doi: 10.11820/dlkxjz.2013.04.009

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Review of spatial optimization algorithms in BMPs placement at watershed scale

WU Hui1,2, LIU Yongbo3, ZHU A-Xing1,4, YANG Dianhua5, LIU Junzhi1,2   

  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 N1G2W1, Canada;
    4. Department of Geography, University ofWisconsin-Madison, Madison, WI 53706, USA;
    5. Key Laboratory of 3D Information Acquisition and Application, MOE, Capital Normal University, Beijing 100048, China
  • Received:2012-11-01 Revised:2013-01-01 Online:2013-04-25 Published:2013-04-25

Abstract: Best Management Practices (BMPs) are practical, cost-effective for reducing nutrients, pesticides, animal waste, and other pollutant loadings from their source area to receiving water bodies. It is essential to combine environmental benefits and economic cost in the design of BMPs placement within a watershed, and the optimization of BMPs placement has become one of the forefront and hot spot of current agricultural environment studies. The optimal BMP selection is, therefore, to utilize watershed modeling techniques and optimization algorithms for obtaining a cost-effective BMP placement within a watershed. This paper provides a systematic review on the current BMPs optimization studies. Firstly, we briefly introduce the BMPs and hydrologic models for BMPs assessment. Next, the current methods of BMPs optimization both in China and abroad are summarized. Finally, the key problems and future perspectives in the field of BMPs optimization, including BMPs interactions in space, computational bottlenecks, and uncertainties, are discussed.

Key words: agricultural BMPs, NPS pollution, optimization algorithm, spatial management, watershed model