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Updated: Jan 12, 2026
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
Prediction and setup of phytoplankton statistical model of Qiandaohu Lake
Li-jiao Yan1, Wei-min Quan, Xiao-hui Zhao
1Agro Ecology Institute, Life Science College, Zhejiang University, Hangzhou 310029, China. yanlj@zju.edu.cn
Abstract:
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.
