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HaiFlow creates living digital twins of watershed helping water managers predict nutrient movement, test interventions, and verify downstream impact.
HaiFlow assimilates water quality, rainfall, hydrology, land use, infrastructure, satellite observations, and targeted sensing.
The twin estimates water state, nitrogen and phosphorus movement, likely source contributions, and model uncertainty across space and time.
Managers compare interventions by expected nutrient reduction, cost, confidence, and time to impact. Observed outcomes recalibrate the twin.
We are seeking water-management partners, hydrology and water-quality validation partners, and collaborators interested in testing real restoration decisions.
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