Frameworks for AI and IoT-Driven Early Warning Systems to Predict and Mitigate the Impact of Chemical Spills in Public Water Supplies

Authors

  • Ayodeji Idowu Taiwo OHIO University, OH, USA Author
  • Lawani Raymond Isi Schlumberger Oilfield Services Lagos, Nigeria Author
  • Michael Okereke Independent Researcher Dubai, UAE Author
  • Oludayo Sofoluwe Company and School : TotalEnergies Headquarters France. IFP School, France and BI Norwegian Business School, France Author
  • Gilbert Isaac Tokunbo Olugbemi Chevron Nigeria limited, Nigeria Author
  • Nkese Amos Essien Totalenergies Ep Nigeria Limited, Nigeria Author

Keywords:

AI-Driven Predictive Analytics, IoT Sensor Networks, Early Warning Systems, Chemical Spill Detection, Water Quality Monitoring, Data Security and Privacy

Abstract

Chemical spills in public water supplies pose significant threats to public health and the environment. To address these challenges, this paper presents a comprehensive framework for AI and IoT-driven early warning systems designed to predict and mitigate the impact of such spills. The framework integrates advanced AI-driven predictive analytics with extensive IoT sensor networks to enhance real-time monitoring and early detection capabilities. Key findings highlight the importance of system scalability, real-time data processing, and robust design principles to ensure continuous operation and data integrity. The paper also addresses critical data security and privacy concerns, emphasizing the need for strong encryption, secure authentication, and regulatory compliance. Technical and operational challenges, such as sensor reliability and the integration of heterogeneous devices, are discussed, alongside strategies for overcoming these obstacles, including standardization and predictive maintenance. Recommendations for stakeholders and policymakers focus on fostering collaboration, investing in reliable technologies, enhancing data security measures, and raising public awareness. The proposed framework aims to provide a resilient and efficient solution for safeguarding public water supplies against chemical spills, ultimately protecting public health and the environment.

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Published

03-06-2025

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Research Articles

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