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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Review of smart water management: IoT and AI in water and wastewater treatment

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  • Review of smart water management: IoT and AI in water and wastewater treatment

Michael Ayorinde Dada 1, *, Michael Tega Majemite 2, Alexander Obaigbena 3, Onyeka Henry Daraojimba 4, Johnson Sunday Oliha 5 and Zamathula Queen Sikhakhane Nwokediegwu 6

1 Sychar Water Technologies, Houston Texas, United States.
2 Technical University Darmstadt, Germany.
3 Darey.io, United Kingdom.
4 Department of Information Management, Ahmadu Bello University, Zaria, Nigeria.
5 Independent Researcher, Lagos, Nigeria.
6 Independent Researcher, Durban South Africa.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 1373-1382
Article DOI: 10.30574/wjarr.2024.21.1.0171
DOI url: https://doi.org/10.30574/wjarr.2024.21.1.0171
 
Received on 05 December 2023; revised on 12 January 2024; accepted on 15 January 2024
 
Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) in smart water management revolutionizes sustainable water resource utilization. This comprehensive review explores these technologies' benefits, challenges, regulatory implications, and future trends. Smart water management enhances operational efficiency, predictive maintenance, and resource conservation while addressing data security and infrastructure investment challenges. Regulatory frameworks play a pivotal role in shaping the responsible deployment of AI and IoT, ensuring data privacy and ethical use. Future trends include advanced sensors, decentralized systems, quantum computing, and blockchain for enhanced water data security. The alignment with Sustainable Development Goals (SDGs) underscores the transformative potential of smart water management in achieving universal access to clean water, climate resilience, and inclusive, sustainable development. As we embrace these technologies, collaboration, public awareness, and ethical considerations will guide the evolution of intelligent and equitable water management systems.
 
Smart Water Management; Internet of Things; Artificial Intelligence; SDGs; Water Resource Optimization
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-0171.pdf

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Michael Ayorinde Dada, Michael Tega Majemite, Alexander Obaigbena, Onyeka Henry Daraojimba, Johnson Sunday Oliha and Zamathula Queen Sikhakhane Nwokediegwu. Review of smart water management: IoT and AI in water and wastewater treatment. World Journal of Advanced Research and Reviews, 2024, 21(1), 1373-1382. Article DOI: https://doi.org/10.30574/wjarr.2024.21.1.0171

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