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Int. J. Environ. Res. Public Health 2017, 14(3), 260; doi:10.3390/ijerph14030260

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

1
College of Water Conversation, Shenyang Agricultural University, No. 120 Dongling Road, Shenyang 110866, China
2
Liaoning Shuangtai Estuary Wetland Ecosystem Research Station, Nanjingzi Village, Dongguo Town, Panshan County, Panjin City 124112, Liaoning Province, China
3
Engineering School of Sustainable Infrastructure and Environment, Department of Environmental Engineering Sciences, University of Florida, 6 Phelps Lab, Gainesville, FL 32611-6350, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Yu-Pin Lin
Received: 23 November 2016 / Accepted: 20 February 2017 / Published: 3 March 2017
(This article belongs to the Section Environmental Health)
View Full-Text   |   Download PDF [4059 KB, uploaded 6 March 2017]   |  

Abstract

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. View Full-Text
Keywords: classification; water quality; watershed management; cluster analysis; Dahuofang reservoir; point source pollution; non-point source pollution classification; water quality; watershed management; cluster analysis; Dahuofang reservoir; point source pollution; non-point source pollution
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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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MDPI and ACS Style

Su, F.; Kaplan, D.; Li, L.; Li, H.; Song, F.; Liu, H. Identifying and Classifying Pollution Hotspots to Guide Watershed Management in a Large Multiuse Watershed. Int. J. Environ. Res. Public Health 2017, 14, 260.

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