宜兴市殷村港叶绿素a与影响因子的多元分析  

THE MULTIVARIATE ANALYSIS OF THE CHLOROPHYLL-A AND ENVIRONMENT FACTORS IN YINCUNGANG RIVER IN YIXING CITY

作　　者：孙菲[1,2] 袁鹏 程建光[1] 彭剑峰[2] 

机构地区：[1]山东科技大学化学与环境工程学院,山东青岛266590 [2]中国环境科学研究院城市水环境科技创新基地,北京100012

出　　处：《环境工程》2017年第9期53-57,共5页Environmental Engineering

基　　金：国家水体污染控制与治理科技重大专项(2012ZX07506-004)

摘　　要：根据2011年1月—2015年12月殷村港水体中叶绿素a(Chl-a)及溶解氧、氨氮、总磷、总氮和水温等环境因子的监测数据,通过Pearson相关分析分析了叶绿素a浓度与水质指标、环境因子之间的相关性,并确定了影响因子;通过多元回归分析模型,建立了叶绿素a浓度和影响因子之间的相关性,实现叶绿素a浓度的预测,多元回归方程的复相关系数R都较高,均在0.8以上。多元回归模型能够较好地预测叶绿素a的浓度和走向趋势,对蓝藻水华的爆发提供参考。The Yincungang River in Yixing city is one of the largest rivers into the west of Taihu Lake. The monitoring data of Chl-a and dissolved oxygen,ammonia nitrogen,total phosphorus,total nitrogen and water temperature from January 2011 to December 2015 in Yincungang River were analyzed by Pearson correlation analysis and the impact factors were determined. In this article,the correlation was established between Chl-a concentration and the influence of the impact factors through the multiple regression analysis model to realize the Chl-a concentration prediction. The multiple regression equation would better predict the concentration of Chl-a and the trend based on the higher multiple correlation coefficient R which was all above 0. 8.This result provided good reference for the outbreak of the cyanobacterial blooms.

关 键 词：殷村港 叶绿素A 影响因子 多元回归模型 

分 类 号：X52[环境科学与工程—环境工程]