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Water Pollution Prevention and Control Project, 2021, 2(3); doi: 10.38007/WPPCP.2021.020304.

Water Pollution Control of Ecosystem Based on Naive Bayesian Algorithm

Author(s)

Luis Moreno

Corresponding Author:
Luis Moreno
Affiliation(s)

Industrial University of Ho Chi Minh City (IUH), Ho Chi Minh City 70000, Vietnam

Abstract

With the increasingly serious environmental problems, a new type of environmental protection technology is urgently needed to improve the efficiency of environmental governance. Therefore, it is very necessary to accelerate the certification and evaluation of environmental protection technology and establish a scientific environmental protection evaluation system. With the development of economy, people pay more and more attention to living conditions. As a major factor of ecological environment pollution, water resource pollution has also received widespread attention. To solve the problem of water resources, it is necessary to start from the root, and take physical, chemical, biological and other means to achieve sewage treatment. It is also necessary to strengthen the transformation of the water resources circulation system to save water resources, and repair the environment, so as to maintain the stability of the environment and create a warm and comfortable environment for people’s production and life. Through the analysis of experimental data on the effect of sewage control, it was found that the efficiency of the naive Bayesian algorithm used in this paper was 18% higher than that of the artificial algorithm, which showed that the naive Bayesian algorithm was more effective in the prevention and control of Water Pollution (WP) in the ecosystem.

Keywords

Naive Bayes, Prevention and Control of Water Pollution in Ecosystem, Artificial Algorithm, Water Pollution Prevention Technology

Cite This Paper

Luis Moreno. Water Pollution Control of Ecosystem Based on Naive Bayesian Algorithm. Water Pollution Prevention and Control Project (2021), Vol. 2, Issue 3: 32-40. https://doi.org/10.38007/WPPCP.2021.020304.

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