Applications of Artificial Intelligence in Environmental Engineering

Yiqi Sun

doi:10.54691/v0t9k322

Authors

Yiqi Sun

DOI:

https://doi.org/10.54691/v0t9k322

Keywords:

Artificial intelligence, environmental engineering, environmental monitoring, pollution control, intelligent decision-making.

Abstract

In recent years, issues such as environmental pollution, resource depletion, and ecological imbalance have become increasingly severe. Traditional environmental governance methods have shown limitations when dealing with the complexity of modern environmental systems. The rapid development of Artificial Intelligence (AI) offers a novel approach to addressing these challenges in environmental engineering. As a cutting-edge technology that integrates computer science, statistical modeling, and data-driven learning, AI has demonstrated strong capabilities in pattern recognition, adaptive modeling, and intelligent optimization, catalyzing a paradigm shift from traditional mechanistic modeling to data-centric approaches. It is now widely applied in key areas including environmental monitoring, pollution control, process optimization, resource allocation, and environmental decision-making. This paper systematically reviews the core application scenarios of AI in environmental engineering, analyzes its advantages and current challenges, and discusses future directions for integration and development.

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