Assessment of surface water quality using multivariate statistical techniques in red soil hilly region: a case study of Xiangjiang watershed, China

In the study, multivariate statistical methods including factor, principal component and cluster analysis were applied to analyze surface water quality data sets obtained from Xiangjiang watershed, and generated during 7 years (1994-2000) monitoring of 12 parameters at 34 different profiles. Hierarc...

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Veröffentlicht in:	Environmental monitoring and assessment 2009-05, Vol.152 (1-4), p.123-131
Hauptverfasser:	Zhang, Qi, Li, Zhongwu, Zeng, Guangming, Li, Jianbing, Fang, Yong, Yuan, Qingshui, Wang, Yamei, Ye, Fangyi
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis methods Applied sciences Atmospheric Protection/Air Quality Control/Air Pollution Case studies China Cities Cluster Analysis Continental surface waters Datasets Discriminant Analysis Earth and Environmental Science Earth sciences Earth, ocean, space Ecology Ecotoxicology Engineering and environment geology. Geothermics Environment Environmental Management Environmental monitoring Environmental Monitoring - methods Exact sciences and technology Factor analysis Fresh Water - chemistry Freshwater Heavy metals Humans Influence Monitoring/Environmental Analysis Multivariate Analysis Natural water pollution Pollutants Pollution Pollution, environment geology Precipitation Principal Component Analysis Principal components analysis Principle component analysis Red soil hilly region Rivers Soil contamination Soil erosion Statistical methods Studies Surface water water management Water Pollutants - analysis Water pollution Water quality Water resources Water resources management Water Supply - analysis Water treatment and pollution Watersheds Xiangjiang watershed
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