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Prediction and setup of phytoplankton statistical model of Qiandaohu Lake

  • Life Science & Biotechnology
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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.

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Authors and Affiliations

  1. Agro Ecology Institute, Life Science College, Zhejiang University, 310029, Hangzhou, China

    Li-jiao Yan & Xiao-hui Zhao

  2. East China Sea Fisheries Reserach Institute, Chinese Academy of Fisheries Science, 200090, Shanghai, China

    Wei-min Quan

Authors
  1. Li-jiao Yan
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  2. Wei-min Quan
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  3. Xiao-hui Zhao
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Corresponding author

Correspondence to Li-jiao Yan.

Additional information

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

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Yan, Lj., Quan, Wm. & Zhao, Xh. Prediction and setup of phytoplankton statistical model of Qiandaohu Lake. J. Zheijang Univ.-Sci. 5, 1206–1210 (2004). https://doi.org/10.1631/jzus.2004.1206

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  • DOI: https://doi.org/10.1631/jzus.2004.1206

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