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A novel integrated approach was used to assess water quality in Taihu Lake in real-time using a radial basis function (RBF) network, structure index (SI) and principal component analysis (PCA). A total of eight sampling points covering an area of 2,338 km were sampled once weekly from 2000 to 2005, except for 2003 and 2004. An RBF network was developed with 23 water quality parameters used as inputs. Then SI was applied to investigate main parameters. Parameters affecting water quality were also determined using PCA. The water quality of Taihu Lake was estimated by synthesizing the results of SI and PCA. Total nitrogen, with a weight of 0.34 for the first component, had the greatest negative effect on Taihu Lake water quality, being slighter than that of ammonia nitrogen, which had a weight of 0.324 for the first component. Conductivity, total phosphorus and alkalinity had weights of 0.322 0.292 and 0.267 for the first component, respectively. It is possible to identify potential sources of water pollution and the results indicated that the water quality of Taihu Lake in the study period was generally graded as Class V according to Environmental quality standards for surface water (GB 3838-2002).

ASSESSMENT OF WATER QUALITY IN TAIHU LAKE USING A RADIAL BASIS FUNCTION NETWORK, STRUCTURE INDEX, AND PRINCIPAL COMPONENT ANALYSIS