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Identifying and Classifying Pollution Hotspots to Guide Watershed Management in a Large Multiuse Watershed

Bibliographic Data

ID15485244
AuthorsFangli Su (0000-0002-3749-4601, Shenyang Agricultural University, corresponding author), David Kaplan (0000-0003-0294-549X, University of Florida), Lifeng Li (0000-0002-6711-1966, Shenyang Agricultural University), Haifu Li (0000-0002-4425-3371, Shenyang Agricultural University), Fei Song (0000-0002-3888-5786, Shenyang Agricultural University), Haisheng Liu (0000-0001-9002-2825, Shenyang Agricultural University)
Year2017
Volume14
Issue3
Pages260-260
Publication date2017-03-03
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph14030260
PMID28273834
OpenAlexW2592679454
LanguageEN
Citations received2
References cited24

In many locations around the globe, large reservoir sustainability is threatened by land use change and direct pollution loading from the upstream watershed. However, the size and complexity of upstream basins makes the planning and implementation of watershed-scale pollution management a challenge. In this study, we established an evaluation system based on 17 factors, representing the potential point and non-point source pollutants and the environmental carrying capacity which are likely to affect the water quality in the Dahuofang Reservoir and watershed in northeastern China. We used entropy methods to rank 118 subwatersheds by their potential pollution threat and clustered subwatersheds according to the potential pollution type. Combining ranking and clustering analyses allowed us to suggest specific areas for prioritized watershed management (in particular, two subwatersheds with the greatest pollution potential) and to recommend the conservation of current practices in other less vulnerable locations (91 small watersheds with low pollution potential). Finally, we identified the factors most likely to influence the water quality of each of the 118 subwatersheds and suggested adaptive control measures for each location. These results provide a scientific basis for improving the watershed management and sustainability of the Dahuofang reservoir and a framework for identifying threats and prioritizing the management of watersheds of large reservoirs around the world

Environmental resource management · Hydrology (agriculture · Nonpoint source pollution · Surface runoff · Sustainability · Water quality · Water resource management · Watershed · Watershed Management · Computer Science · Environmental Science · Hydrology and Watershed Management Studies · Water Quality and Pollution Assessment · Water resources management and optimization · Ecology · Geology · Pollution

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Citations per year0.22
Citation span2017 - 2019 (3)
Highly citedNo

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