AI-Driven Optimization of Water Usage and Waste Management in Smart Cities for Environmental Sustainability
Journal Title: Engineering and Technology Journal - Year 2025, Vol 10, Issue 03
Abstract
Rapid urbanization and climate change necessitate the adoption of innovative technologies to enhance resource efficiency and environmental sustainability in smart cities. Artificial Intelligence (AI)-driven optimization has emerged as a transformative solution for improving water usage and waste management by leveraging real-time data analytics, predictive modeling, and automation. This study explores the integration of AI into urban water and waste systems to enhance efficiency, reduce resource wastage, and minimize environmental impact. AI-powered water management utilizes machine learning algorithms and Internet of Things (IoT) sensors to monitor consumption patterns, detect leaks, and optimize distribution networks. By analyzing vast datasets, AI enables predictive maintenance, demand forecasting, and adaptive water pricing strategies, reducing water losses and ensuring sustainable usage. Smart irrigation systems employ AI to assess weather conditions, soil moisture, and plant requirements, leading to optimized water allocation and conservation. In waste management, AI enhances collection logistics, sorting efficiency, and recycling processes. AI-driven route optimization for waste collection reduces fuel consumption and operational costs by dynamically adjusting pickup schedules based on waste levels. Computer vision and robotic automation improve waste segregation, increasing recycling rates and minimizing landfill dependency. Predictive analytics further supports waste reduction initiatives by identifying consumption trends and promoting circular economy practices. Integrating AI with cloud computing and blockchain enhances data security and interoperability, facilitating seamless collaboration among urban stakeholders. AI-driven decision support systems empower policymakers with actionable insights for formulating sustainable urban strategies. However, challenges such as data privacy concerns, infrastructure costs, and public acceptance must be addressed for successful implementation. This paper underscores the potential of AI-driven optimization in transforming urban water and waste systems to achieve environmental sustainability. By leveraging AI's predictive capabilities and automation, smart cities can significantly reduce resource wastage, lower carbon footprints, and enhance resilience against climate challenges. Future research should focus on enhancing AI algorithms, fostering interdisciplinary collaborations, and developing regulatory frameworks to ensure ethical and equitable AI deployment in smart cities.
Authors and Affiliations
Jessica Obianuju Ojadi , Olumide Akindele Owulade , Chinekwu Somtochukwu Odionu , Ekene Cynthia Onukwulu
Keywords
Related Articles
- EP ID EP762216
- DOI 10.47191/etj/v10i03.36
- Views 8
- Downloads 0
The Critical Components of an Integrated Decision Making Framework for Enhancing Post Destruction Reconstruction
Post destruction reconstruction of the built environment is a critical process that demands a balance between immediate recovery needs and long term sustainability. Although speed is frequently given priority over qualit...
Influence of Natural Filler Powder on the Some Physical Properties of Polyurethane Foam Composites
An investigation was conducted to analyze the impact of incorporating perlite stone powder particles at different weight ratios (5, 10, 15, 25, and 35) on the polyurethane polymer's mechanical properties and thermal cond...
Speech Cloning: Text-To-Speech Using VITS
Voice is one of the most common and natural communication methods for humans. Voice is becoming the primary interface for AI voice assistants like Amazon Alexa, as well as in autos and smart home devices. Homes and so on...
Design and Implementation of Portable Low-Cost Heart Rate Monitoring ECG System
Electrocardiogram is an important health parameter in the diagnosis of cardiovascular diseases, which are among the leading cause of death in the world including Nigeria. This research work “portable low-cost heart rate...
ADVANCED DYNAMICS: TECHNOLOGICAL APPLICATIONS
This paper aims to present a private scientific research project that allows us to propose amazing results in Engineering. This project has been described in the 2018 treaty, NEW PARADIGM IN PHYSICS. [1]