Sustainable Solutions through AI in Environmental Engineering: Monitoring, Modeling, and Mitigation Strategies

Review Article

Abstract

Artificial Intelligence (AI) is increasingly recognized as a pivotal enabler of sustainable solutions in environmental engineering. With the growing complexity of ecological challenges, ranging from pollution to climate change, AI offers advanced capabilities to monitor, model, and mitigate environmental impacts effectively. This paper reviews the integration of AI technologies—such as machine learning, deep learning, remote sensing, and predictive analytics—into environmental systems, highlighting their transformative potential in fostering sustainability. In environmental monitoring, AI-driven tools enhance the collection and analysis of vast, heterogeneous datasets, including satellite imagery, sensor networks, and climate databases, enabling real-time tracking of air and water quality, deforestation, and urban emissions. For modeling, AI supports the development of predictive frameworks that simulate environmental processes with higher accuracy, allowing for better forecasting of extreme weather events, pollutant dispersion, and ecosystem responses to anthropogenic pressures. Mitigation strategies powered by AI contribute to optimizing waste management, designing low-carbon infrastructure, and strengthening early warning systems for natural disasters. Furthermore, AI facilitates sustainable urban planning by enabling smart grids, intelligent transportation, and resource-efficient infrastructure design. By integrating interdisciplinary knowledge, AI bridges the gap between environmental data and actionable policy-making, aligning engineering practices with global sustainability targets such as the United Nations Sustainable Development Goals (SDGs). This review underscores that while AI offers immense potential to advance environmental resilience, its implementation requires addressing challenges related to data quality, ethical considerations, and technological accessibility. Overall, AI stands as a transformative force in environmental engineering, promoting innovative, data-driven, and sustainable solutions for a rapidly changing world.