| Prediction and setup of phytoplankton statistical model of Qiandaohu Lake |
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| 作者姓名： | 严力蛟 全为民 赵晓慧 |
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| 作者单位： | Agro Ecology Institute，Life Science College，Zhejiang University，Hangzhou 310029，China，East China Sea Fisheries Research Institute，Chinese Academy of Fisheries Science，Shanghai 200090，China，Agro Ecology Institute，Life Science College，Zhejiang University，Hangzhou 310029，China |
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| 基金项目： | Project supported by the National Natural Science Foundation of China (No. 69673044)，the Environmental Protection Bureau of Hangzhou (No. 9901), China |
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| 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 multi-variate 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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Prediction and setup of phytoplankton statistical model of Qiandaohu Lake |
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| YANLi-jiao,QUAN Wei-min,ZHAO Xiao-hui.Prediction and setup of phytoplankton statistical model of Qiandaohu Lake[J].Journal of Zhejiang University Science,2004(10). |
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| Authors: | YANLi-jiao QUAN Wei-min ZHAO Xiao-hui |
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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 multi-variate 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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| Keywords: | Qiandaohu Lake Stepwise linear regression Statistical model Chla |
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