Prediction and setup of phytoplankton statistical model of Qiandaohu Lake.
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.
Yan
Li-jiao
LJ
Agro Ecology Institute, Life Science College, Zhejiang University, Hangzhou 310029, China. yanlj@zju.edu.cn
Quan
Wei-min
WM
Zhao
Xiao-hui
XH
D002681:China; D003198:Computer Simulation; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005618:Fresh Water / Q000032:analysis* / Q000737:chemistry / Q000382:microbiology*; D006863:Hydrogen-Ion Concentration; D008954:Models, Biological; D015233:Models, Statistical; D009584:Nitrogen / Q000032:analysis; D010100:Oxygen / Q000032:analysis; D010839:Phytoplankton / Q000502:physiology*; D011157:Population Dynamics; D013223:Statistics as Topic; D013696:Temperature
D009584:Nitrogen; D010100:Oxygen