Fast urban drainage model generator using global open data sources

Accurate flowrate data in a catchment area is essential for city stakeholders that needs to plan future developments for the next decades. Hydraulics models are powerful tools to rely on for such decisions. The lack of models around the world is mainly due to their development cost which is directly correlated to the data volume requirement. The rise of open-source datasets for geography, population, urban infrastructures provide an opportunity to deploy urban drainage on almost any point of the earth. This study aims at developing two automatic model generators, the first one using GIS dataset as input aims at being robust to poorly filled GIS while the second is solely relying on data from publicly accessible websites for auto configuration and calibration. The codes were applied to reproduce the urban drainage system of Dijon Metropole for which the simulated flowrates were compared to observed flowrates at Dijon water resource recovery facility inlet.