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Analysis of Temporal and Spatial Variations in Water Quality of Xitiaoxi Watershed Using Multivariate Statistical Techniques
Received:April 07, 2015  
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KeyWord:water quality;spatiotemporal variation;multivariate statistical analysis;multidimensional scaling analysis;Xitiaoxi watershed
Author NameAffiliationE-mail
WANG Gang College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China  
LI Zhao-fu College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China lizhaofu@njau.edu.cn 
WAN Rong-rong State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China  
LI Heng-peng State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China  
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Abstract:
      In this study, water quality data from June 2009 to July 2010 at 38 sampling sites in Xitiaoxi watershed, a branch of Taihu Lake in China, were obtained. Multivariate statistical techniques, including cluster analysis, one-way analysis of variance(ANOVA), factor analysis and multidimensional scaling analysis, were employed for the evaluation of spatial and temporal variations in water quality in Xitiaoxi watershed. Based on the similarity of water quality characteristics, the watershed was classified into four sections:upstream forest, downstream city, downstream plain and downstream agricultural irrigation sections. Rotated factor correlation coefficients rendered good results of the seasonal sensitivity of different water quality parameters. The correlation coefficients between nitrogen concentration and rotated factors during the entire study period was greater than 0.900, showing its time sensitivity in the whole study period. One-way ANOVA analysis and multidimensional scaling analysis obtained the best results for both spatial and temporal variations. Overall, the spatial variation in water quality was significant and consistent with the geographical characteristics. Water quality in all channels showed little difference between mean- and low-flow periods, but had significant difference between the high-flow and other two periods. The main channel at city area displayed the minimal temporal variation in the entire watershed, indicating the anthropogenic interference. These results provide critical information for management of water resources in Xitiaoxi watershed.