The spatial-temporal variations of water quality in controlling points of the main rivers flowing into the Miyun Reservoir from 1991 to 2011
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- 作者：Dongqing Li ; Ji Liang ; Yanming Di ; Huili Gong…
- 关键词：The Miyun watershed ; Multivariate statistical methods ; Spatial ; temporal variations
- 刊名：Environmental Monitoring and Assessment
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：188
- 期：1
- 全文大小：1,373 KB
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Ji Liang (2)
Yanming Di (1)
Huili Gong (1)
Xiaoyu Guo (1)
1. College of Resources Environment and Tourism, Capital Normal University, Beijing, 100048, China
2. College of Hydroelectricity and Digitalization Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China - 刊物类别：Earth and Environmental Science
- 刊物主题：Environment
Monitoring, Environmental Analysis and Environmental Ecotoxicology
Ecology
Atmospheric Protection, Air Quality Control and Air Pollution
Environmental Management - 出版者：Springer Netherlands
- ISSN：1573-2959
文摘
Cluster analysis (CA), discriminant analysis (DA), and principal component analysis/factor analysis (PCA/FA) were used to analyze the interannual, seasonal, and spatial variations of water quality from 1991 to 2011 in controlling points (Xinzhuang Bridge, Daguan Bridge) of the main rivers (Chaohe River, Baihe River) flowing into the Miyun Reservoir. The results demonstrated that total nitrogen (TN) and total phosphorus (TP) exceeded China National Standard II for surface water separately 5.08 times and 1 time. CA showed that the water quality could be divided into three interannual (IA) groups: IAI (1991鈥?995, 1998), IAII (1996鈥?997, 1999鈥?000, 2002鈥?006), and IAIII (2001, 2007鈥?011) and two seasonal clusters: dry season 1 (December), dry season 2 (January鈥揊ebruary), and non-dry season (March鈥揘ovember). At interannual scale, the higher concentration of SO4 2鈭?/sup> from industrial activities, atmospheric sedimentation, and fertilizer use in IAIII accelerated dissolution of carbonate, which increased Ca2+, Mg2+, total hardness (T-Hard), and total alkalinity (T-Alk). The decreasing trend of CODMn contributed to the establishment of sewage treatment plants and water and soil conservation in the Miyun upstream. The changing trend of NO3 鈭?/sup>-N indicated increasing non-point pollution load of IAII and effective non-point pollution controlling of IAIII. Only one parameter T in the seasonal scale verified improved non-point pollution controlling. The major pollution in two controlling points was NO3 鈭?/sup>-N, T-Hard, TN, and other ion pollution (SO4 2鈭?/sup>, F鈭?/sup>, Ca2+, Mg2+, T-Hard, T-Alk). Higher concentration of NO3 鈭?/sup>-N in Xinzhuang and CODMn in Daguan indicated different controlling measures, especially controlling agriculture intensification in Chaohe River to decrease N pollution and decreasing water and soil loss and cage culture in Baihe River to weaken organic pollution. Controlling SO4 2鈭?/sup> from industrial activity, atmospheric sedimentation and fertilizer use in watershed can effectively control Ca2+, Mg2+, T-Hard, and T-Alk. Keywords The Miyun watershed Multivariate statistical methods Spatial-temporal variations