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Water Pollution Prevention and Control Project, 2022, 3(3); doi: 10.38007/WPPCP.2022.030301.

Efficient Nonlinear Optimization Algorithm Based on Water Pollution Prevention System

Author(s)

Edi Kurniawan

Corresponding Author:
Edi Kurniawan
Affiliation(s)

Bangladesh University of Engineering and Technology, Bangladesh

Abstract

Due to the emergence of water pollution (WP) problems in many places, these problems have not been completely solved and WP incidents still occur from time to time. Therefore, carrying out WP prevention and control work and solving WP problems have become important topics of discussion and research for relevant scholars. In this paper, an efficient non-linear optimisation algorithm is used to establish a water quality model, which can be used to assess the regional water quality conditions. This paper uses an efficient nonlinear optimization algorithm (ENOA) to establish a water quality model, which can be used to assess the regional water quality conditions. Through the analysis of the industrial and domestic production of sewage discharge in T city, the problems and suggestions of WP control in T city are put forward, hoping to improve the water environment and people's living standard in T city through scientific and reasonable development of WP prevention and control scheme in T city.

Keywords

Efficient Nonlinear Optimization Algorithm, Water Pollution Prevention and Control, Water Quality Model, Water Environment

Cite This Paper

Edi Kurniawan. Efficient Nonlinear Optimization Algorithm Based on Water Pollution Prevention System. Water Pollution Prevention and Control Project (2022), Vol. 3, Issue 3: 1-9. https://doi.org/10.38007/WPPCP.2022.030301.

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