Algae growth modeling based on optimization theory and application to water-bloom prediction
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Algae growth modeling based on optimization theory and application to water-bloom prediction
CIESC JournalIssue 7, Pages: 1869-1873(2008)
作者机构:
1. 北京工商大学信息工程学院
2. 北京工商大学化学与环境工程学院
作者简介:
基金信息:
DOI:
CLC:
Online First:05 July 2008,
Published:05 July 2008
稿件说明:
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LIU Zaiwen, WU Qiaomei, WANG Xiaoyi, et al. Algae growth modeling based on optimization theory and application to water-bloom prediction[J]. CIESC Journal, 2008, (7): 1869-1873.
DOI:
LIU Zaiwen, WU Qiaomei, WANG Xiaoyi, et al. Algae growth modeling based on optimization theory and application to water-bloom prediction[J]. CIESC Journal, 2008, (7): 1869-1873.DOI:
Algae growth modeling based on optimization theory and application to water-bloom prediction
Water-bloom prediction is important to environmental protection
and the mechanism model of water-bloom is the basis of water-bloom prediction. A model for algae growth was set up based on the analysis and research about the mechanism of water-bloom engendering. The model described the relationship of chlorophyll-a and temperature
solar illumination
overall phosphor
and was applicable to the lakes whose nutrition factor is restricted by phosphor in nutrition circle
without considering the influence of hydrodynamics. And an optimal method of estimating optimal parameters in a nonlinear minimum problem with constraints was proposed. The parameters in the model
such as maximum growth rate of alga
half - saturation coefficient of light
half - saturation coefficient of phosphor
maximum death rate of alga
net loss velocity of alga
and so on
were evaluated by the multi-parameter simultaneous estimation method and validated by experimental data. Through simulation and experiments
the result showed that the model could better describe the change of water-bloom from engendering to burst-out and provide reference for water-bloom prediction and control.