Multi Agent Based Landscape Water Eutrophication Model

Eutrophication has become a major environmental issue in China's landscape water bodies, and the growth status of algae in landscape water bodies is a direct reflection of the degree of eutrophication in landscape water bodies. This article takes Jinghu Lake, Guangxi University as the research object, and establishes an algae ecosystem model of Jinghu Lake using the theory and method of complex system multi-agent. The Swarm simulation platform is used to construct the living environment of algae, simulate the growth, reproduction, extinction and other life phenomena of algae, and simulate the growth potential of algae at different growth rates by changing the model parameters. Through simulation and experiments, the results show that the model can reasonably reflect the entire growth process of algae, providing management basis and decision support for the prevention and control of eutrophication in Jinghu Lake.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1145/3714334.3714369
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

Multi Agent Based Landscape Water Eutrophication Model

Fangrong Wu, Zengqiang Lei
Water Quality Monitoring Technologies
article

Multi Agent Based Landscape Water Eutrophication Model

Fangrong Wu, Zengqiang Lei
article en

Abstract

Eutrophication has become a major environmental issue in China's landscape water bodies, and the growth status of algae in landscape water bodies is a direct reflection of the degree of eutrophication in landscape water bodies. This article takes Jinghu Lake, Guangxi University as the research object, and establishes an algae ecosystem model of Jinghu Lake using the theory and method of complex system multi-agent. The Swarm simulation platform is used to construct the living environment of algae, simulate the growth, reproduction, extinction and other life phenomena of algae, and simulate the growth potential of algae at different growth rates by changing the model parameters. Through simulation and experiments, the results show that the model can reasonably reflect the entire growth process of algae, providing management basis and decision support for the prevention and control of eutrophication in Jinghu Lake.

Openalex Percentile: Top 73%
Water Quality Monitoring Technologies
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