Prediction and setup of phytoplankton statistical model of Qiandaohu Lake

作     者：严力蛟 全为民 赵晓慧 

作者机构：AgroEcologyInstituteLifeScienceCollegeZhejiangUniversityHangzhou310029China EastChinaSeaFisheriesResearchInstituteChineseAcademyo[FisheriesScienceShanghai200090China 

出 版 物：《Journal of Zhejiang University Science》 (浙江大学学报（自然科学英文版）)

年 卷 期：2004年第5卷第10期

页      面：1206-1210页

核心收录：

学科分类：08[工学] 0815[工学-水利工程] 

基　　金：Project supported by the National Natural Science Foundation of China (No. 69673044) the Environmental Protection Bureau of Hangzhou (No. 9901), China 

主　　题：Qiandaohu Lake Stepwise linear regression Statistical model Chla 

摘      要：This research considers the mathematical relationship between concentration of Chla and seven environmental factors, i.e. Lake water temperature (T), Secci-depth (SD), pH, DO, CODMn, Total Nitrogen (TN), Total Phosphorus (TP). Stepwise linear regression of 1997 to 1999 monitoring data at each sampling point of Qiandaohu Lake yielded the multivariate regression models presented in this paper. The concentration of Chla as simulation for the year 2000 by the regression model was similar to the observed value. The suggested mathematical relationship could be used to predict changes in the lakewater environment at any point in time. The results showed that SD, TP and pH were the most significant factors affecting Chla concentration.