Role of artificial intelligence (AI) in civil engineering to minimize environment pollution
1 Department of Civil Engineering, Dhaka University of Engineering & Technology, Gazipur, Bangladesh.
2 Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh.
3 Mouza and Plot Based National Digital Land Zoning Project, Ministry of Land, Dhaka, Bangladesh.
4 Department of Civil Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh.
5 Department of Machinery, SAKA International Ltd., Dhaka, Bangladesh.
6 Department of Machinery Repair & Maintenance, Bangladesh Agricultural Research Institute, Gazipur, Bangladesh.
7 Department of Environment Health and Safety, Summit Gazipur II Power Limited, Bangladesh, under Summit Power International, Singapore.
Research Article
World Journal of Advanced Research and Reviews, 2024, 24(03), 982–994
Publication history:
Received on 28 October 2024; revised on 04 December 2024; accepted on 07 December 2024
Abstract:
This study investigates the role of Artificial Intelligence (AI) in minimizing environmental pollution within the civil engineering sectors. With the growing emphasis on sustainability and environmental protection, AI presents an innovative approach to reducing resource consumption, waste generation, and pollution in construction and urban development. The research explores various applications of AI, including resource optimization, waste reduction, energy efficiency, smart infrastructure, and real-time environmental pollution monitoring. Key findings suggest that AI technologies contribute to improved sustainability by optimizing material usage, enhancing recycling processes, and reducing energy consumption in buildings and infrastructure. Additionally, AI-powered systems enable accurate pollution monitoring and forecasting, allowing for timely interventions. However, challenges such as high implementation costs, lack of standardized data, and resistance to technological adoption hinder widespread implementation. The study concludes that while AI holds substantial promise in promoting environmentally sustainable practices, overcoming these barriers will be essential for its broader adoption in civil engineering.
Keywords:
Artificial Intelligence (AI); Environmental Pollution; Civil Engineering; Waste Reduction; Smart Infrastructure.
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0