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引用本文:胡开明,李冰,王水,周家艳,田颖.太湖流域(江苏省)水质污染空间特征.湖泊科学,2014,26(2):200-206. DOI:10.18307/2014.0205
HU Kaiming,LI Bing,WANG Shui,ZHOU Jiayan,TIAN Ying.Spatial distribution characteristics of water quality pollution in the Lake Taihu basin, Jiangsu Province. J. Lake Sci.2014,26(2):200-206. DOI:10.18307/2014.0205
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太湖流域(江苏省)水质污染空间特征
胡开明1,2, 李冰1,2, 王水1,2, 周家艳1,2, 田颖1,2
1.江苏省环境科学研究院, 南京 210036;2.江苏省环境工程重点实验室, 南京 210036
摘要:
基于SPSS 20.0统计软件,对太湖流域(江苏省)9个三级生态功能分区和湖体28项水质指标数据分别进行处理,从原始监测数据中提取出5个主成分,计算其贡献率和主成分得分值,研究主要污染因子的组合,并对相应污染源进行分析.结果表明第一主成分主要体现了水体中氮、磷等导致富营养化的关键因子,而第二个主成分主要反映水体重金属水平,整个江苏省太湖流域污染情况空间分布略有不同,水环境质量也大体表现为北高南低、西高东低的趋势,湖体也存在对应的空间特征,反映了流域外源输入是导致湖体水质污染的主要原因之一,为太湖流域的环境监测及污染治理提供重要的信息和依据.
关键词:  太湖流域  水质  空间特征  主成分分析
DOI:10.18307/2014.0205
分类号:
基金项目:国家水体污染控制与治理科技重大专项项目(2012ZX07506-001-001)资助
Spatial distribution characteristics of water quality pollution in the Lake Taihu basin, Jiangsu Province
HU Kaiming1,2, LI Bing1,2, WANG Shui1,2, ZHOU Jiayan1,2, TIAN Ying1,2
1.Jiangsu Provincial Academy of Environmental Science, Nanjing 210036, P. R. China;2.Jiangsu Provincial Key Laboratory of Environmental Engineering, Nanjing 210036, P. R. China
Abstract:
Using principal component analysis method in SPSS 20.0 statistical software, the data of 28 water quality indexes in 9 level Ⅲ aquatic ecological function zones in the Lake Taihu basin as well as in each lake region were separately processed. Five principal components from the original monitoring data were derived. According to the contribution rate and score of each principal component, the combination of main pollution factors and relative pollution sources were analyzed finally. The first principal component reflected the key factors of the water eutrophication including N and P. The second principal component reflected the heavy metal matter level. There existed a significant spatial pattern in pollution source characteristics, and water quality both in basin and lake deteriorated not only from the south to the north, but also from the east to the west. The results indicated that exogenous source was a key factor causing water pollution in Lake Taihu. This study provides important information and foundation for the environmental monitoring and pollution treatment.
Key words:  Lake Taihu basin  water quality  spatial distribution characteristics  principal component analysis
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