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Spatial and temporal variations in the water quality of Baiyangdian Lake in the recent 30 years
Received:February 25, 2020  
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KeyWord:Baiyangdian Lake;water quality;spatial and temporal variation;comprehensive pollution index;time series analysis;hierarchical cluster analysis
Author NameAffiliationE-mail
WANG Huan-huan State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China  
BAI Jie State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China  
LIU Shi-cun State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China  
TIAN Kai State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China  
ZHAO Yan-wei State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China awei1974@bnu.edu.cn 
LI Chun-hui Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China  
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Abstract:
      Baiyangdian Lake is known as north China's kidney. Therefore, its spatial and temporal variations in water quality are of great significance for ensuring local ecological restoration. In this study, a comprehensive pollution index, cumulative anomaly method, MannKendall test, and hierarchical cluster analysis were used to investigate the spatial and temporal variations in the water quality of Baiyangdian Lake. The results showed that the comprehensive pollution index fluctuated in recent years (1988-2016). In 2015, the water quality was the worst with a water quality index value of up to 2.229. In terms of its temporal variation trends within each year, the highest comprehensive pollution index value was found in July, while the lowest was found in February. Seasonally, summer was the worst pollution duration, followed by autumn, spring, and winter. Furthermore, the TN concentration was the highest among all the monitoring indicators. With respect to the spatial distribution, the water quality of Nanliuzhuang (northwest region)was the worst, followed by that of Zhangzhuangzi, Zaolinzhuang, Quantou, Duancun, and Caiputai (east and south regions). In contrast, the water quality of Wangjiazhai and Shaochedian (north region)was better.