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Water 2015, 7(3), 1088-1108; doi:10.3390/w7031088

Assessment of Agricultural Best Management Practices Using Models: Current Issues and Future Perspectives

State Key Laboratory of Water Environment, School of Environment, Beijing Normal University, Beijing 100875, China
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Author to whom correspondence should be addressed.
Academic Editor: Say-Leong Ong
Received: 15 December 2014 / Revised: 16 February 2015 / Accepted: 24 February 2015 / Published: 12 March 2015
(This article belongs to the Special Issue Water Quality Control and Management)
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Abstract

Best management practices (BMPs) are the most effective and practicable means to control nonpoint source (NPS) pollution at desired levels. Models are valuable tools to assess their effectiveness. Watershed managers need to choose appropriate and effective modelling methods for a given set of conditions. This paper considered state-of-the-art modelling strategies for the assessment of agricultural BMPs. Typical watershed models and specific models were analyzed in detail. Further improvements, including simplified tools, model integration, and incorporation of climate change and uncertainty analysis were also explored. This paper indicated that modelling methods are strictly scale dependent, both spatially and temporally. Despite current achievements, there is still room for future research, such as broadening the range of the pollutants considered, introducing more local BMPs, improving the representation of the functionality of BMPs, and gathering monitoring date for validation of modelled results. There is also a trend towards agricultural decision support systems (DSSs) for assessing agricultural BMPs, in which models of different scales are seamlessly integrated to bridge the scale and data gaps. This review will assist readers in model selection and development, especially those readers concerned about NPS pollution and water quality control. View Full-Text
Keywords: nonpoint source pollution; water quality assessment; best management practices; agriculture; modelling; decision support systems nonpoint source pollution; water quality assessment; best management practices; agriculture; modelling; decision support systems
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Xie, H.; Chen, L.; Shen, Z. Assessment of Agricultural Best Management Practices Using Models: Current Issues and Future Perspectives. Water 2015, 7, 1088-1108.

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