A Bayesian method for comprehensive water quality evaluation of the Danjiangkou Reservoir water source area, for the middle route of the South-to-North Water Diversion Project in China

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• 作者：Fangbing Ma (1) (2) (3)
  Chunhui Li (1)
  Xuan Wang (1) (2)
  Zhifeng Yang (1) (2)
  Chengchun Sun (2)
  Peiyu Liang (1) (2)
  
• 关键词：water quality evaluation ; Danjiangkou Reservoir ; Bayesian method ; normal distribution sampling method ; entropy weight method
• 刊名：Frontiers of Earth Science
• 出版年：2014
• 出版时间：June 2014
• 年：2014
• 卷：8
• 期：2
• 页码：242-250
• 全文大小：
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• 作者单位：Fangbing Ma (1) (2) (3)
  Chunhui Li (1)
  Xuan Wang (1) (2)
  Zhifeng Yang (1) (2)
  Chengchun Sun (2)
  Peiyu Liang (1) (2)
  
  1. Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing, 100875, China
  2. State Key Laboratory for Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
  3. Shidu Town People’s Government, Beijing, 102411, China
  
• ISSN：2095-0209

文摘

The Danjiangkou Reservoir is the water source for the middle route of the South-to-North Water Diversion Project in China. Thus, its water quality status is of great concern. Five water quality indicators (dissolved oxygen, permanganate index, ammonia nitrogen, total nitrogen, and total phosphorus), were measured at three monitoring sites (the Danjiangkou Reservoir dam, the Hejiawan and the Jiangbei bridge), to investigate changing trends, and spatiotemporal characteristics of water quality in the Danjiangkou Reservoir area from January 2006 to May 2012. We then applied a Bayesian statistical method to evaluate the water quality comprehensively. The normal distribution sampling method was used to calculate likelihood, and the entropy weight method was used to determine indicator weights for variables of interest in to the study. The results indicated that concentrations of all five indicators increased during the last six years. In addition, the water quality in the reservoir was worse during the wet season (from May to October), than during the dry season (from November to April of the next year). Overall, the probability of the water’s belonging to quality category of type II, according to environmental quality standards for surface water in China, was 27.7%-3.7%, larger than that of its belonging to the other four water quality types. The increasing concentrations of nutrients could result in eutrophication of the Danjiangkou Reservoir. This method reduced the subjectivity that is commonly associated with determining indicator weights and artificial classifications, achieving more reliable results. These results indicate that it is important for the interbasin water diversion project to implement integrated water quality management in the Danjiangkou Reservoir area.