New sensors in Lake Victoria detect low oxygen levels before fish deaths

On July 10, 2026, researchers from King's College London announced a breakthrough in environmental monitoring with new sensors that detected warning signs of low oxygen levels in Lake Victoria just hours before local fish deaths were reported. This discovery underscores the urgent need for advanced warning systems to protect aquatic life and local livelihoods.

Monitoring Water Quality in Lake Victoria

The pilot project involved deploying innovative water-quality sensors at aquaculture sites near Dunga Beach, Kisumu. These sensors recorded a dramatic drop in dissolved oxygen levels to nearly zero, alarming researchers. Naing Oo, senior technician in the Department of Geography's John B. Thornes Laboratory, stated, "When I saw the dissolved oxygen readings suddenly fall to almost zero, I honestly thought there must be a problem with the sensors because the values were so extreme." The following morning, reports confirmed fish deaths in the same area.

The sensors are part of the FRESH-WQ project, a collaboration among King's College London, the Kenya Marine and Fisheries Research Institute (KMFRI), and the African Center for Aquatic Research and Education (ACARE). This initiative aims to develop low-cost monitoring tools to predict hazardous water-quality conditions before they result in significant losses.

Addressing Environmental Challenges

Fish deaths due to hypoxia, a condition characterized by dangerously low oxygen levels, pose a serious threat to aquaculture operations and the livelihoods of communities around Lake Victoria. Researchers are increasingly alarmed by the potential for pollution and climate change to exacerbate such events. The King's College initiative seeks to fill a critical gap in environmental management, as reliable forecasting systems for water quality are rare, particularly in regions with limited monitoring infrastructure.

• Deployment of sensors at aquaculture sites
• Continuous data collection in near real-time
• Collaboration with local stakeholders for effective monitoring

Community Engagement and Future Goals

During a stakeholder workshop, fish farmers and community representatives discussed their reliance on traditional knowledge to assess changing lake conditions. They noted that predicting hazardous conditions weeks in advance would significantly aid in managing risks to fisheries. Dr. Emma Tebbs, a senior lecturer at King's College London, emphasized, "Stakeholders told us that they already have extensive knowledge of the lake and how conditions change. What would be most useful is the ability to look ahead."

The project's long-term ambition is to integrate sensor data with satellite observations and artificial intelligence models to create a comprehensive forecasting system for the African Great Lakes region. This would empower communities to make informed decisions and mitigate the impact of water quality hazards.

"For me, this project isn't just about the technology. It's about community, citizen science, building lasting partnerships, supporting the next generation of scientists and engineers, and working together across countries to develop practical solutions that make a real difference to both people and freshwater ecosystems," said Naing Oo.