FEATURED CASE | ENGINEERING EVIDENCE FILE
Build a digital-twin loop from terrain, rainfall, runoff models, monitoring data, and warning-response workflows.
Representative Engineering EvidenceMulti-source meteorological and hydrological data are difficult to fuse, while forecasting and warning rely on experience and respond too slowly.
Build a digital-twin loop from terrain, rainfall, runoff models, monitoring data, and warning-response workflows.
Make the baseline, metrics, validation method, and disclosure boundary explicit—not just the result.
Terrain, rainfall, runoff data, and agreed warning rules form the baseline.
Forecast results, risk tiers, warning workflow, and response records
Historical-event review, forecast and warning checks, and response-record review
The project owner and sensitive regional data are anonymized; the task path, outcome types, and reuse boundary are disclosed.
Representative Engineering Evidence
Watershed models, forecasting and warning workflows, risk records, and response reviews
For watersheds with available terrain, rainfall, runoff models, and warning rules
