Artificial Intelligence Techniques to Reduce Thermal Pollution | IEEE Conference Publication | IEEE Xplore

Artificial Intelligence Techniques to Reduce Thermal Pollution


Abstract:

Thermal pollution is a technique that modifies the temperature of ambient water, resulting in water quality damage. The focus of this article is on thermal pollution, whi...Show More

Abstract:

Thermal pollution is a technique that modifies the temperature of ambient water, resulting in water quality damage. The focus of this article is on thermal pollution, which is a major environmental concern. The environment has been severely impacted by thermal pollution. This section discusses the different types of thermal pollution based on temperature (cold and hot). Sources include industrial wastewater, urban and suburban runoff, and other natural and anthropogenic processes such as volcano eruptions, deforestation, and soil erosion. It also gives an overview of the consequences, such as dissolved oxygen depletion, aquatic animal death, harmful chemical discharge, and ecological imbalance. Thermal pollution can be reduced by building and using artificial lakes, cooling lakes, cooling towers, and water recycling, among other things. This research examines the consequences of thermal breakdown as well as potential artificial intelligence enabled solutions.
Date of Conference: 24-25 January 2024
Date Added to IEEE Xplore: 20 March 2024
ISBN Information:
Conference Location: Bangalore, India

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