AI System Now Predicts Water Quality Problems Days Before They Happen
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📰 The quick summary: A new AI system combines machine learning, sensor data, and the National Water Model to accurately predict water turbidity up to three days in advance, helping water systems stay ahead of quality threats.
📈 One key stat: The AI-powered system can predict when water becomes murky days in advance, potentially safeguarding the Ashokan Reservoir which supplies nearly 40% of New York City’s drinking water.
💬 One key quote: “This new tool can be implemented across the country and broadly utilized by folks that could use water quality forecasts in any number of applications,” said scientist Andrew Schroth who led the study.
1️⃣ The big picture: Scientists from the University of Vermont have created a groundbreaking system that predicts changes in water quality before they occur. By combining artificial intelligence, high-frequency sensor data, and the National Water Model, researchers can now forecast turbidity levels up to three days ahead with high accuracy. This advance transforms existing water flow models into comprehensive water quality prediction tools. The system was successfully tested on New York’s Esopus Creek, which supplies nearly 40% of New York City’s drinking water through the Ashokan Reservoir.
2️⃣ Why is this good news: Water managers can now receive early warnings about incoming water quality problems like sediment spikes after storms or harmful algal blooms. Treatment plants gain crucial lead time to prepare for incoming sediment, potentially avoiding costly shutdowns. Local health departments can respond faster to potential contamination, protecting public health before problems arise. The model’s flexible structure allows it to be adapted for different water quality concerns beyond turbidity, including nutrients like nitrogen or phosphorus, making it valuable for communities nationwide facing various water challenges.
3️⃣ What’s next: Researchers are now working to expand the tool’s reach across the United States through the Cooperative Institute for Research to Operations in Hydrology. Communities can start building their own water quality forecasts by combining public National Water Model data with local sensor information. As climate change increases storm intensity and pollution risks, these predictive tools will become increasingly vital for water resource management.
Read the full story here: The Brighter Side News – Cutting-edge AI system predicts changes in water quality before they happen
