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TEMPORAL AND SPATIAL VARIATIONS EVALUATION IN WATER QUALITY OF QIANDAO LAKE RESERVOIR, CHINA

文献类型： 外文期刊

作者： Gu, Qing 1 ; Hu, Hao 1 ; Sheng, Li 1 ; Ma, Ligang 2 ; Li, Jiadan 3 ; Zhang, Xiaobin 1 ; An, Juan 1 ; Zheng, Kefeng 1 ;

作者机构： 1.Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Zhejiang, Peoples R China

2.Xinjiang Univ, Coll Resource & Environm Sci, Urumqi, Peoples R China

3.Ningbo Acad Agr Sci, Inst Rural Dev & Informat, Ningbo, Zhejiang, Peoples R China

关键词： Water quality;Spatial variation;Temporal trend;Multivariate methods;Water Pollution Index;Daniel Trend Test

期刊名称：FRESENIUS ENVIRONMENTAL BULLETIN （ 影响因子：0.489； 五年影响因子：0.479 ）

ISSN： 1018-4619

年卷期： 2016 年 25 卷 8 期

页码：

收录情况： SCI

摘要： Understanding the temporal and spatial variations in surface water quality and quantitatively evaluating the trend in changes are important for water resource management and protection. Multivariate statistical techniques, such as cluster analysis (CA) and discriminant analysis (DA), as well as Water Pollution Index (WPI) and Daniel Trend Test method were applied to evaluate the temporal and spatial variations of water quality data sets for Qiandao Lake reservoir, obtained between 2002 and 2013 from 12 monitoring sites. The results of Daniel Trend Test showed that most of the parameters were increased (Rs>0), among which ammonia nitrogen, total nitrogen and chlorophyll-a presented significant upward trends (Rs>Wp). The WPI of total nitrogen was highest among all the parameters, followed by total phosphorus, and ammonia nitrogen was the lowest. Seasonal DA identified four parameters (pH, permanganate index, dissolved oxygen and total nitrogen) as the most significant parameters accounting for the temporal variations in water quality. Hierarchical CA grouped the 12 monitoring sites into four clusters based on the similarities in water quality characteristics. Spatial DA identified four parameters (secchi disc depth, chlorophyll-a, total nitrogen, ammonia nitrogen) as the significant discriminating parameters in space. These results could assist planners and managers to develop optimal strategies for reservoir water resources protection and management.

  • 相关文献

[1]Assessment of Reservoir Water Quality Using Multivariate Statistical Techniques: A Case Study of Qiandao Lake, China. Gu, Qing,Zheng, Kefeng,Zhang, Xiaobin,Sheng, Li,Zhang, Yao,Wang, Ke,Ma, Ligang,Li, Jiadan. 2016

[2]Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs. Gu, Qing,Zheng, Kefeng,Zhang, Xiaobin,Sheng, Li,Wang, Ke,Deng, Jinsong,Li, Jiadan,Ma, Ligang,Deng, Jinsong,Deng, Jinsong. 2015

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[4]Water quality parameters response to temperature change in small shallow lakes. Xu, Lei,Li, Hua,Liang, Xinqiang,Cui, Xinyi,Li, Hua,Yao, Yuxin,Zhou, Li.

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