UTILIZED SOFTWARE 

OpenFlows, STAAD, SewerGEMS, PondPack

LOCATION 

India

ORGANIZATION/COMPANY 

Haskoning India Consulting Pvt Ltd

Every monsoon, Delhi's 33 million residents brace for water they cannot escape. The July 2023 flood made the stakes plain: a 10,702-kilometer drainage network built for another era, fragmented across twelve agencies, each holding its own legacy CAD files, none able to see the city whole. Water pooled in 1,418 recurring hotspots, and with it came dengue and malaria — 9,266 and 426 cases respectively — alongside the daily disruption of a capital that floods.

Haskoning India took on the question no one had been able to answer: what would it take to model Delhi's drainage as a single system? Using OpenFlows SewerGEMS, PondPack, and STAAD, the team federated 4.6 terabytes of data across all twelve agencies and, for the first time, simulated the entire network. Machine learning and custom scripting cut manual photogrammetric interpretation by 60 percent. Thirty years of climate records were distilled into climate-robust rainfall curves, and ten scenarios were tested against them — including green infrastructure and natural retention rather than more concrete and pumps.

The design that emerged is lighter than the one it replaces. Fourteen legacy pumping stations disappear entirely, saving 64 GWh of electricity over 25 years and cutting operational carbon by 40 percent. Leaner structures avoid 38,000 tonnes of embodied carbon. Three waterbodies and twelve retention tanks are restored, returning 4.6 million cubic meters of surface water storage to the city. All 1,418 hotspots are addressed, and 4.5 million residents of unauthorized colonies — long left off the map — are included.

The economics followed the engineering: USD 336 million in capital savings and USD 180 million in operational savings on a USD 3.55 billion program, with 3,960 engineering hours saved and design rework down 30 percent. The geospatial backbone now stands ready for a drainage digital twin.