| 摘要: |
|
| 关键词: 多元回归理论 太湖 湖泛 预警模型 |
| DOI： |
| 分类号:X84 |
| 文献标识码:A |
| 基金项目:江苏省环境保护厅2011年省级环保科研课题管理基金资助项目（201154） |
|
| Study on the Early Warning Model of Feculent and Anaerobic Water Aggregation in Taihu Lake Using the Multiple Regression Theory |
|
XIE Weiping，HONG Yueju，WU Lei，LU Yong1,2,3
|
|
1.Yixing Environmental Monitoring Station,Yixing,Jiangsu 214200,China;2.Wuhan Planning & Design Institute,Wuhan,Hubei 430000,China;3.School of Energy and Environment,Southeast University,Nanjing,Jiangsu 210096,China
|
| Abstract: |
| 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. |
| Key words: Multiple regression theory Taihu Lake Feculent and anaerobic water aggregation Early warning model |
