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Using AI to Improve Urban Sustainability: Sophisticated Pollution Control and Environmental Monitoring in Safer Cities
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Author(s): M. I. Anju (SRM Institute of Science and Technology, Vadapalani, India), Ishwarya Kothandaraman (School of Computing, SRM Institute of Science and Technology, India), R. Arunadevi (Sri Sairam Engineering College, India), Kavitha Esther Rajakumari (KCG College of Technology, India), K. Fouzia Sulthana (Rajalakshmi Institute of Technology, Poonamallee, India)and M. Robinson Joel (KCG College of Technology, Karapakkam, India)
Copyright: 2025
Pages: 30
Source title:
Citizen-Centric Artificial Intelligence for Smart Cities
Source Author(s)/Editor(s): Ashok Sharma (University of Jammu, India), Vibhakar Mansotra (University of Jammu, India)and Parveen Singh (Cluster University, Jammu, India)
DOI: 10.4018/979-8-3693-7832-8.ch003
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Abstract
Rapid city expansion presents many obstacles to urban sustainability, such as resource management, pollution, and public safety issues. This study looks at how pollution management and environmental monitoring can be advanced by artificial intelligence (AI) to improve urban sustainability. Artificial Intelligence (AI) technology, including automation, predictive modelling, and real-time data analysis, make it possible to create complex systems that monitor the quality of air and water, identify environmental threats, and maximize resource use. Cities can continually monitor environmental conditions, offering timely insights for interventions and lowering environmental footprints by combining AI-driven sensors and IoT devices. Additionally, AI helps to build sustainable urban infrastructure and promotes public safety by recognizing pollution patterns associated with health hazards. AI has the capacity to completely transform urban sustainability, which emphasizes how crucial it is for technology developers, legislators, and urban planners to work together.
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