AI Reduces Environmental Toxins in Civil Engineering

AI Reduces Environmental Toxins in Civil Engineering

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
DOI: 10.4018/979-8-3373-3246-8.ch004
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

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.
Chapter Preview

Complete Chapter List

Search this Book:
Reset