AI for Drought Early Warning & Water Allocation

Forecast droughts, optimize reservoir releases, and allocate irrigation to balance food security, ecosystems, and cities.

Drought risk is rising. AI combines climate/seasonal forecasts, hydrology, soil moisture, and demand to provide early warnings, guide reservoir operations, and allocate scarce water. Outcomes: reduced crop loss, protected cities/industry, and better ecological flows.

Demand shaping: irrigation scheduling, tiered restrictions.

Trigger-based plans for drought stages and messaging.

Subsidy/insurance targeting for farmers at risk.

live demo · related simulation● LIVE

Forecast/observations streams; EO for soil moisture/ET.

Hydro models inputs; water rights/permits database.

Data quality: gap-filling, bias correction, unit harmonization.

Frequently asked questions

What is the Implementation Roadmap?

Implementation Roadmap

How can I ingest forecasts/hydro data, and what baseline drought and runoff models are available?

Ingest forecasts/hydro data; baseline drought and runoff models.

Can I pilot reservoir + irrigation optimization in one basin and evaluate KPIs?

The simulator allows for a pilot project focused on optimizing reservoir management alongside irrigation strategies within a single watershed, enabling the tracking of key performance indicators to assess effectiveness.

How can alerts be rolled out and farmer-facing schedules integrated, including water rights?

Users can deploy real-time alerts tailored to farmers' needs, while also integrating scheduling features and considering established water rights regulations within the simulation environment.

▶ Try it live

Everything above runs in your browser — open River Network Formation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open River Network Formation simulation

AI for Drought Early Warning & Water Allocation | ML Knowledge Hub