Full Text:   <1138>

CLC number: X524

On-line Access: 

Received: 2003-09-09

Revision Accepted: 

Crosschecked: 0000-00-00

Cited: 0

Clicked: 2964

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Bio-Design and Manufacturing  2022 Vol.5 No.10 P.1206~1210

10.1631/jzus.2004.1206


Prediction and setup of phytoplankton statistical model of Qiandaohu Lake


Author(s):  YAN Li-jiao, QUAN Wei-min, ZHAO Xiao-hui

Affiliation(s):  Agro Ecology Institute, Life Science College, Zhejiang University, Hangzhou 310029, China; more

Corresponding email(s):   yanlj@zju.edu.cn, joyxiaohui@vip.sina.com

Key Words:  Qiandaohu Lake, Stepwise linear regression, Statistical model, Chla


Share this article to: More

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 D, 2022, 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 D",
volume="5",
number="10",
pages="1206~1210",
year="2022",
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 D
%V 5
%N 10
%P 1206~1210
%@ 1869-1951
%D 2022
%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 D
VL - 5
IS - 10
SP - 1206
EP - 1210
%@ 1869-1951
Y1 - 2022
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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Chen, Y.W., Qin, B.Q., Gao, X.Y., 2001. Prediction of b1ue-green a1gae bloom using stepwise multiple regression between algae & related environmental factors in meiliang bay, Lake Taihu. Journal of Lake Sciences, 13(1):63-71 (in Chinese).

[2] Kang, R.J., James, R.T., Lung, W.S., 1998. Assessing Lake OKEECHOBEE eutrophication with water-quality models. Journal of Water Planning and Management, 124(1):22-23.

[3] Quan, W.M., Yan, L.J., Yu, Z.M., 2001. Advance in study of lake eutrophication models. Biodiversity Science, 9(2):168-175.

[4] Somlyody, L., 1998. Eutrophication modeling, management and decision-making: the Kis-Balaton case. Water Science and Technology, 37(3):165-175.

[5] Yan, L.J., Yu, Z.M., Huang, X.R., 2002. The characteristics of phytoplankton community and its dominants in Qiandaohu Lake. Contemporary Ecology Agriculture, 3-4:84-88 (in Chinese).

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE