Abstract:The stepwise cluster analysis (SCA) was employed to predict the chlorophyll-a content of alga in Yuqiao Reservoir. A SCA model was firstly developed based on 56 data sets of 7factors related to water quality and meteorology from 1999 to 2006, which was used to predict the chlorophyll-a content from 2007 to 2010. The predicted values matched the measured values well with the average absolute error of -0.0007 and the average relative error of 21.66%, and the correlation coefficient is 0.94. It showed that SCA was effective to predict the chlorophyll-a content in Yuqiao Reservoir. The sensitivity analysis were also performed, the results showed that pH value, total phosphorus content and dissolved oxygen had more significant impacts on the alga growth in Yuqiao Reservoir. Therefore, it is an important way to prevent algal blooms by controlling the above 3 factors.
常淳, 冯平, 孙冬梅, 张凯. 基于逐步聚类分析的水库浮游藻类生长预测[J]. 中国环境科学, 2015, 35(9): 2805-2812.
CHANG Chun, FENG Ping, SUN Dong-Mei, ZHANG Kai. Prediction of the alga growth in a reservoir based on the stepwise cluster analysis. CHINA ENVIRONMENTAL SCIENCECE, 2015, 35(9): 2805-2812.