AEC AI IndexStormwater and flood work sits where GIS, hydrology and asset management meet. AI tools help map flood risk at finer scale, find features in imagery and spot problems in pipe networks sooner. Hydraulic and hydrologic models are still the engineering basis for design. Listings here are not endorsements.
Flood risk mapping and forecasting
Fathom provides flood hazard maps and terrain data, 7Analytics combines hydrology and machine learning for high-resolution flood risk, and Previsico forecasts surface water flooding at property and asset level. Fluid Analytics (AquaGrid) brings a city's surface water, wastewater and drainage data into one view.
Floodplain management for local governments
Forerunner helps communities manage floodplain records and compliance, and Urban SDK offers geospatial AI for city and county operations.
GIS and feature extraction
Esri ArcGIS (GeoAI) includes models for extracting features from imagery and point clouds, Ecopia AI converts imagery into vector maps, and Bunting Labs (QGIS AI Vectorizer) speeds up digitizing scanned maps in QGIS. Nearmap supplies aerial imagery useful for impervious surface mapping.
Storm sewer inspection and monitoring
VAPAR and SewerAI code storm and sewer CCTV footage with AI, and SmartCover Systems and FlowWorks monitor levels, flow and rain data. Ayyeka provides remote field monitoring devices.
Modeling and asset management
DHI (MIKE) and Bentley OpenFlows cover urban drainage and flood modeling. For assets and work orders, see Cityworks (Trimble Unity Maintain) and VertiGIS.
How to evaluate stormwater AI
- Know the resolution you need: parcel-level risk screening and design-grade modeling are different products.
- Check terrain and rainfall inputs: results depend on DEM quality and the rainfall data behind them.
- Validate on known events: compare outputs with flooding you have records of.
- Plan GIS integration: results should land in your existing GIS layers.
Related: AI for water and wastewater utilities and AI tools for utilities.
Frequently asked questions
How does AI help with stormwater management?
It speeds up flood risk mapping, extracts impervious surfaces and features from imagery, codes storm sewer CCTV footage and flags unusual levels or flows from sensors.
Is AI flood mapping accurate enough for design?
Usually it is for screening and prioritization. Design still relies on calibrated hydrologic and hydraulic models.
Which GIS tools include AI?
Esri ArcGIS includes GeoAI models, and QGIS can be extended with AI digitizing plugins. Imagery providers also offer AI feature extraction.
Can local governments use these tools for floodplain management?
Yes. Some platforms focus on floodplain records, permits and compliance for communities.