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Spatial variations of river water quality in Pearl River Delta, China

ISSN号：1001-6791
期刊名称：《水科学进展》
时间：0
分类：X522[环境科学与工程—环境工程] TU311.3[建筑科学—结构工程]
作者机构：[1]School of Environment, Beijing Normal University State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing 100875, China
相关基金：Acknowledgements This study was funded by the National Natural Science Foundation （Grant Nos. U0833002 and 50939001）, the National Key Basic Research Program of China （No. 2003CB415104）.

作者： Xiaoyun FA Baoshan CUI Zhiming ZHANG[1]

关键词：珠三角地区, 河流水质, 空间变化, 中国, 多元统计方法, 空间分布格局, 单向方差分析, 轻度污染, river water quality, principal componentanalysis, cluster analysis, Pearl River Delta （PRD）

中文摘要：

在珀尔河三角洲(PRD ) ，河水质量由于人口增加和进行中的工业化和都市化逐渐地败坏了。在这研究， multivariate 统计数值方法被用来估计水质量空间模式并且在 PRD 识别水质量变化的特征。在一年 2005 和 2008 期间 PRD 监视的水质量在 25 个不同车站被进行。十七个水质量参数为进一步的学习被分析。变化(ANOVA ) 的单程的分析的结果显示除了空气温度，水温度和锌的所有参数在在干燥、湿的季节监视车站之中显示出重要差别。在 PRD 监视车站独立被分类进三统计上重要的簇在(D ^ 潜水艇连接 ^/D ^ 潜水艇最大 ^)< 2 在干燥、湿的季节分别地。三簇在 25 之中显示了河水质量的类似和不同监视车站，相应于重污染，中等污染和忽视污染。因此，这研究的结果是有用的评估水质量并且在 PRD 管理水资源[出版摘要]

英文摘要：

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 （Olink/Omax）（ 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.