Application of Machine Learning in Environmental Engineering

With the continuous breakthroughs in the field of machine learning in various countries, against the backdrop of increasingly severe environmental issues, the application of machine learning in environmental engineering has attracted more attention. This paper aims to discuss the application of artificial intelligence in environmental protection and management, exploring its potential roles and challenges. Firstly, the paper reviews the development of machine learning and investigates the current research status of machine learning in the field of environmental engineering. Secondly, the paper elaborates on the applications and practical cases of machine learning in environmental monitoring, natural disaster risk prediction, and natural resource conservation. Finally, using the SWOT analysis method, the paper discusses the strengths, weaknesses, opportunities, and challenges of artificial intelligence, and provides prospects for future development. This research provides theoretical and practical guidance for the application of artificial intelligence in the environmental profession, offering new solutions for environmental protection and sustainable development.