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AI Reduces Environmental Toxins in Civil Engineering
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Author(s): R. Selvapriya (Muthayammal Engineering College, India), M. Gopinath (Muthayammal Engineering College, India), P. Sampathkumar (Muthayammal Engineering College, India), D. Velmurugan (Muthayammal Engineering College, India)and S. Suresh (Erode Sengunthar Engineering College, India)
Copyright: 2025
Pages: 24
Source title:
AI Methods for Environmental Protection and Resource Conservation
Source Author(s)/Editor(s): Monia Ben Ltaifa (College of Community in Abqaiq, King Faisal University, Saudi Arabia)and Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3373-3246-8.ch004
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Abstract
This study analyzes how AI reduces civil engineering pollution. AI offers an innovative way to reduce resource consumption, waste, and pollution in architecture and urban development as sustainability and environmental preservation gain popularity. Advancement. The study examines AI applications in resource optimization, waste minimization, energy efficiency, intelligent infrastructure, and real-time pollution surveillance. AI solutions maximize material utilization, improve recycling, and reduce building and infrastructure energy consumption. AI-driven systems enable accurate pollution monitoring and predictions, enabling quick actions. However, high implementation costs, inconsistent data, and technical reluctance hinder widespread deployment. The research notes that AI has great potential to promote environmentally sustainable practices, but it must overcome these challenges to be used in civil engineering.
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