基于多元回归理论的太湖湖泛预警模型研究

Feculent and anaerobic water aggregation (FAWA) is a type of specific environmental disaster with characteristics of occurring abruptly,lasting in short duration,and causing serious consequences on the environment and ecosystems.Experiments choosing algal density as the investigated object were carried out to analyze the parameters using data analysis software SPSS,including the water quality,temperature,and algal density,in four monitoring sites of the Yixing part where FAWA happened historically.An early warning model using the multiple regression theory was constructed based on the algal cell density together with weather conditions and related algal density threshold when FAWA happened in the past years.Based on the current weather data and real time water quality parameters in the monitoring site,the model could be used to evaluate the risk grade of FAWA occurring in the monitoring region.