USE OF PCA-RBF MODEL FOR PREDICTION OF CHLOROPHYLL-A IN YUQIAO RESERVOIR OF HAIHE RIVER BASIN
Chlorophyll-a is a well-accepted index for phytoplankton abundance and population of primary producers in an aquatic environment.The relationships between Chlorophyll-a and 18 chemical，physical and biological water quality variables in YuQiao Reservoir(YQR)of Haihe River Basin in P.R.China were studied by using principal component analysis(PCA) coupled with radial basis function network(RBF)model to predict Chlorophyll-a levels. Principal component analysis was used to simplify the complexity of relations between water quality variables.Score values obtained by PC scores were used as independent variables in the RBF models.In the forcast，only five selected score values obtained by PC analysis were used for the prediction of Chlorophyll-a levels，and correlative analysis between the modeled results and observed data indicates that the correlative coefficient is 0.61，and analysis of the forecast error rate shows that the average forecast error is 32.9％，proving the viability of the forecast model.
Chlorophyll-a Multiple linear regression analysis Principal component analysis Reservoirs Water quality
Liu Xiaobo Wang Yuchun Zhou Huaidong Peng Wenqi
School of Environment,Beijing Normal University,Beijing 100875，China Department of Water Environment Department of Water Environment，China Institute of Water Resources and Hydropower Research，Beijing 1
国际会议
High-level International Forum on Water Resources and Hydropower(第一届国际水利水电高层论坛)
北京
英文
298-309
2008-10-17（万方平台首次上网日期，不代表论文的发表时间）