The government has green-lighted a digital-twin project for the Ganga basin, to be developed by a Centre of Excellence at IIT Delhi. The tool will support hydrological modelling, groundwater-stress assessment, hotspot identification, and basin-wide water-resource monitoring — enabling data-driven, transparent decision-making for river management.
Under NMCG’s revamped financing model, a Hybrid-Annuity Public-Private Partnership (PPP) has been sanctioned for sewage interception, diversion (I&D) and a Sewage Treatment Plant (STP) project in Siliguri (river Mahananda) at an estimated cost of ₹361.86 crore. Payments to the private operator are tied to long-term operational performance: 40% of capital costs are paid during construction, the remaining 60% plus interest over 15 years, contingent on performance against defined KPIs.
To address climate-driven water risks, a glacier-melt study has been sanctioned for the Bhagirathi and Alaknanda basins (up to Devprayag) and key Himalayan glacier zones (including Gangotri, Satopanth, Pindar, Khatling, Chorabari, etc.). The project — implemented by National Institute of Hydrology — will assess glacier mass balance, melt-runoff contributions and climate-change impacts, and offer a Web-GIS dashboard for NMCG.
Policy Relevance
The digital-twin and glacier-melt study mark a shift toward science-based, predictive water management of the Ganga basin — enabling early warning, better resource planning and climate-resilience.
The hybrid-annuity PPP model ties financial flows to real operational performance of STPs, improving long-term sustainability and accountability of sanitation infrastructure — a critical step for river-cleaning efforts.
Together, these measures align with India’s broader environmental and climate goals — offering scalable, data-driven tools for water security, pollution abatement and adaptive management of climate impacts.
What Is a Digital Twin? → A virtual, data-driven replica of a natural system (here, a river basin), allowing simulation of hydrological, climatic, and anthropogenic scenarios — which supports planning, early warning and long-term management.
Relevant Question for Policy Stakeholders:
How can states and NMCG integrate the digital-twin and glacier-melt analytics into disaster-management, urban-planning and agriculture-water planning cycles for real-time adaptive governance?
Follow the full news here: GREENLIGHTS FOR NATIONAL MISSION FOR CLEAN GANGA
