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CLC number: X524
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Received: 2003-09-09
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Prediction and setup of phytoplankton statistical model of Qiandaohu Lake
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YAN Li-jiao, QUAN Wei-min, ZHAO Xiao-hui. Prediction and setup of phytoplankton statistical model of Qiandaohu Lake[J]. Journal of Zhejiang University Science A, 2004, 5(10): 1206-1210.
@article{title="Prediction and setup of phytoplankton statistical model of Qiandaohu Lake",
author="YAN Li-jiao, QUAN Wei-min, ZHAO Xiao-hui",
journal="Journal of Zhejiang University Science A",
volume="5",
number="10",
pages="1206-1210",
year="2004",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2004.1206"
}
%0 Journal Article
%T Prediction and setup of phytoplankton statistical model of Qiandaohu Lake
%A YAN Li-jiao
%A QUAN Wei-min
%A ZHAO Xiao-hui
%J Journal of Zhejiang University SCIENCE A
%V 5
%N 10
%P 1206-1210
%@ 1869-1951
%D 2004
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2004.1206
TY - JOUR
T1 - Prediction and setup of phytoplankton statistical model of Qiandaohu Lake
A1 - YAN Li-jiao
A1 - QUAN Wei-min
A1 - ZHAO Xiao-hui
J0 - Journal of Zhejiang University Science A
VL - 5
IS - 10
SP - 1206
EP - 1210
%@ 1869-1951
Y1 - 2004
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2004.1206
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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