AI-Driven Water Governance Urged to Combat Pollution Risks

During her 123rd inaugural lecture at Lagos State University, Professor Kafeelah Abosed Yusuf called for the integration of artificial intelligence and machine learning tools into Nigeria's water governance system. She warned that pollution and emerging contaminants pose serious threats to public health and aquatic ecosystems.

Her research revealed that water quality parameters in Lagos and Ogun states remain within international standards but exhibit high levels of iron, which damages benthic habitats essential for aquatic biodiversity. Yusuf disclosed that her studies identified unacceptable increases in lifetime cancer risk due to exposure to contaminants, particularly in the Olog Lagoon and Ogun River.

She emphasized the need for continuous data-driven environmental surveillance and investment in advanced analytical laboratories. Additionally, she pointed out deficiencies in Lagos's water treatment plants and the risks posed by traditional fish smoking practices.

Yusuf recommended strengthening regulatory enforcement and promoting a circular water economy to ensure sustainable water management in Lagos State, Nigeria.