作者: Yu-Hu Zhang , Hai-feng Jia , Cong Yang
DOI: 10.1109/RSETE.2011.5964696
关键词: Hydrology 、 Water resource management 、 Water pollution 、 Sampling (statistics) 、 Quality (business) 、 Water environment 、 Data set 、 Pollution 、 Environmental science 、 Water resources 、 Water quality
摘要: Understanding the spatial-temporal distributions and variations of water quality index are important for pollution sources identification essential efficient environment management. Reasonable designed monitoring networks rivers periodical campaign can provide data to describe vision river state. Multiple statistical methods reliable effective in interpreting set. In this study, multiple including cluster analysis (CA) factor (FA) were used evaluate temporal-spatial Luzhi system Plain River-Net Areas, Suzhou, China. The results showed that: (1) exists obvious distribution characteristic, sampling periods categorized into two groups corresponding seasonal changes quality, Sampling sites classified three which represented different levels degrees. (2) Three factors extracted by using FA method they reflected nitrogen phosphorus water, organic physical conditions respectively. (3) varifactors obtained from indicate that parameters responsible site mainly related geographical location source situation hydrodynamic characteristics. study provided critical information management river-net areas.