Anthropogenic Impact on Surface Water Quality in Taihu Lake Region,China  

作　　者：XU Ha YANG Lin-Zhang ZHAO Geng-Mao JIAO Jia-Guo YIN Shi-Xue LIU Zhao-Pu 

机构地区：[1]College of Resources and Environmental Science, Nanjing Agricultural University, Nanjing 210095 (China) [2]Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 (China) [3]Agricultural College, Yangzhou University, Yangzhou 225007 (China)

出　　处：《Pedosphere》2009年第6期765-778,共14页土壤圈（英文版）

基　　金：Project supported by the Knowledge Innovation Key Project of the Chinese Academy of Sciences (No. KZCX1-YW-14-5);the National Natural Science Foundation of China (No. 30600086)

摘　　要：Taihu Lake region is one of the most industrialized areas in China, and the surface water is progressively susceptible to anthropogenic pollution. The physicochemical parameters of surface water quality were determined at 20 sampling sites in Taihu Lake region, China in spring, summer, autumn, and winter seasons of 2005-2006 to assess the effect of human activities on the surface water quality. Principal component analysis (PCA) and cluster analysis (CA) were used to identify characteristics of the water quality in the studied water bodies. PCA extracted the first three principal components (PCs), explaining 80.84% of the total variance of the raw data. Especially, PC1 (38.91%) was associated with NH 4 -N, total N, soluble reactive phosphorus, and total P. PC2 (22.70%) was characterized by NO 3 -N and temperature. PC3 (19.23%) was mainly associated with pH and dissolved organic carbon. CA showed that streams were influenced by urban residential subsistence and livestock farming contributed significantly to PC1 throughout the year. The streams influenced by farmland runoff contributed most to PC2 in spring and winter compared with other streams. PC3 was affected mainly by aquiculture in spring, rural residential subsistence in summer, and livestock farming in fall and winter seasons. Further analyses showed that farmlands contributed significantly to nitrogen pollution of Taihu Lake, while urban residential subsistence and livestock farming also polluted water quality of Taihu Lake in rainy season. The results would be helpful for the authorities to take sound actions for an effective management of water quality in Taihu Lake region.Taihu Lake region is one of the most industrialized areas in China, and the surface water is progressively susceptible to anthropogenic pollution. The physicochemical parameters of surface water quality were determined at 20 sampling sites in Taihu Lake region, China in spring, summer, autumn, and winter seasons of 2005-2006 to assess the effect of human activities on the surface water quality. Principal component analysis （PCA） and cluster analysis （CA） were used to identify characteristics of the water quality in the studied water bodies. PCA extracted the first three principal components （PCs）, explaining 80.84% of the total variance of the raw data. Especially, PC1 （38.91%） was associated with NH4-N, total N, soluble reactive phosphorus, and total P. PC2 （22.70%） was characterized by NO3-N and temperature. PC3 （19.23%） was mainly associated with pH and dissolved organic carbon. CA showed that streams were influenced by urban residential subsistence and livestock farming contributed significantly to PC1 throughout the year. The streams influenced by farmland runoff contributed most to PC2 in spring and winter compared with other streams. PC3 was affected mainly by aquiculture in spring, rural residential subsistence in summer, and livestock farming in fall and winter seasons. Further analyses showed that farmlands contributed significantly to nitrogen pollution of Taihu Lake, while urban residential subsistence and livestock farming also polluted water quality of Taihu Lake in rainy season. The results would be helpful for the authorities to take sound actions for an effective management of water quality in Taihu Lake region.

关 键 词：anthropogenic pollution cluster analysis non-point pollution principal component analysis 

分 类 号：X824[环境科学与工程—环境工程] TD325.4[矿业工程—矿井建设]