Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

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Cyanobacterial blooms management: A treatment path optimization perspective

Authors
Ming Liu1, *, Jiani Wu1
1School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China
*Corresponding author. Email: liuming@njust.edu.cn
Corresponding Author
Ming Liu
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_82How to use a DOI?
Keywords
Cyanobacteria blooms management; Mixed Integer Programming; interdisciplinary research
Abstract

Cyanobacterial blooms are common ecological problems that pose significant harm to humans, animals, and the health of lake ecosystems. To cope with this problem, we adopt a bio-dynamic model inspired by the invasion species and develop an integrated simulation-optimization model (Mixed Integer Programming) to effectively minimize the economic losses caused by cyanobacteria blooms. Based on the above, we also conduct computational experiments to validate the model. Test results have shown that the duration of treatment and budget have an impact on the damage, and timely algae removal is necessary to prevent further spread of cyanobacteria in the study area. This study represents an innovative interdisciplinary research achievement and can provide more accurate decision support to lake water quality managers in terms of algae removal site selection, frequency of operations, and operational pathways.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
978-94-6463-262-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_82How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ming Liu
AU  - Jiani Wu
PY  - 2023
DA  - 2023/10/09
TI  - Cyanobacterial blooms management: A treatment path optimization perspective
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 799
EP  - 805
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_82
DO  - 10.2991/978-94-6463-262-0_82
ID  - Liu2023
ER  -