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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front Earth Sci    0, Vol. Issue () : 291-296    https://doi.org/10.1007/s11707-012-0295-1
RESEARCH ARTICLE
Spatial variations of river water quality in Pearl River Delta, China
Xiaoyun FAN, Baoshan CUI(), Zhiming ZHANG
School of Environment, Beijing Normal University; State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing 100875, China
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Abstract

In Pearl River Delta (PRD), river water quality has deteriorated gradually due to population increase and ongoing industrialization and urbanization. In this study, multivariate statistic methods were used to assess water quality spatial pattern and to identify characteristics of water quality variation in the PRD. Water quality monitoring of the PRD during the year 2005 and 2008 was conducted at 25 different stations. Seventeen water quality parameters were analyzed for further studying. Results of one-way analysis of variance (ANOVA) indicated that all the parameters except air temperature, water temperature and zinc showed significant difference among monitoring stations in both dry and wet season. Monitoring stations in the PRD were separately classified into three statistically significant clusters at (Dlink/Dmax)<2 in dry and wet season, respectively. The three clusters indicated the similarity and dissimilarity of river water quality among 25 monitoring stations, corresponding to heavy pollution, moderate pollution and slight pollution. Thus, the results of this study are useful to evaluate water quality and manage water resources in the PRD.

Keywords river water quality      principal component analysis      cluster analysis      Pearl River Delta (PRD)     
Corresponding Author(s): CUI Baoshan,Email:cuibs@bnu.edu.cn, cuibs67@yahoo.com   
Issue Date: 05 September 2012
 Cite this article:   
Xiaoyun FAN,Baoshan CUI,Zhiming ZHANG. Spatial variations of river water quality in Pearl River Delta, China[J]. Front Earth Sci, 0, (): 291-296.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-012-0295-1
https://academic.hep.com.cn/fesci/EN/Y0/V/I/291
Fig.1  Map of study area with the location of water quality monitoring station along with 1-Xiaolan, 2-Shawan, 3-Shimen, 4-Tianhe, 5-Xipaotai, 6-Rongqi, 7-Sanshui, 8-Makou, 9-Maan, 10-Guanchong, 11-Ganzhu, 12-Gaoyao, 13-Huangpu, 14-Haizhuqiao, 15-Daao, 16-Humen, 17-Hengmen, 18-Haiwei, 19-Xintang, 20, Zhangpeng, 21-Shilongnan, 22-Shilongbei, 23-Mayong, 24-Dasheng, 25-Boluo
Fig.2  Box Plots for parameters BOD, COD, NH, TP of water quality for 25 monitoring stations in dry season and wet season
CodeStationDry seasonWet season
PC1PC2PC3PC4PC1PC2PC3PC4
1Xiaolan-0.48-0.210.02-0.05-0.720.28-0.111.36
2Shawan-0.01-0.070.450.40-0.170.950.28-0.45
3Shimen2.39-0.191.77-0.772.400.560.62-0.02
4Tianhe-0.840.090.971.08-0.950.630.17-0.72
5Xipaotai-0.390.760.66-2.51-0.20-2.022.86-0.35
6Rongqi-0.69-0.330.110.88-0.740.38-0.210.81
7Sanshui-0.880.050.440.18-0.620.21-0.290.63
8Makou-0.930.120.57-0.09-0.890.03-0.090.09
9Maan-0.66-0.090.29-0.13-0.760.16-0.201.26
10Guanchong-0.360.960.34-1.05-0.03-1.152.42-1.03
11Ganzhu-0.78-0.090.26-0.04-0.770.29-0.081.37
12Gaoyao-0.77-0.230.471.41-0.960.360.42-0.19
13Huangpu1.750.490.851.561.300.690.130.46
14Haizhuqiao2.51-0.531.07-0.662.430.930.240.31
15Daao-0.760.280.96-0.33-1.09-0.310.10-0.94
16Humen0.754.17-1.770.580.931.410.781.21
17Hengmen-0.58-0.050.300.27-0.65-0.24-0.191.05
18Haiwei-0.74-0.310.271.04-0.820.28-0.230.65
19Xintang0.23-0.37-0.170.100.291.260.043-1.74
20Zhangpeng0.74-1.17-1.74-0.010.82-2.20-1.840.14
21Shilongnan-0.19-0.66-1.68-2.09-0.060.29-0.86-1.33
22Shilongbei-0.20-0.40-0.55-0.61-0.01-0.21-1.33-2.12
23Mayong0.76-0.94-1.421.480.93-1.97-1.070.39
24Dasheng0.66-1.05-1.930.180.65-1.38-0.690.47
25Boluo-0.49-0.20-0.52-0.76-0.320.75-0.88-1.34
Tab.1  Score of PCA for each station in dry season and wet season
Fig.3  Dendrogram based on agglometerative hierarchical clustering (Ward’s method) for 25 monitoring stations in dry season and wet season
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