Knowledge Framework
Use Cases
- Monitor river and reservoir levels — Continuously measure water levels in rivers, reservoirs, and aquifers so that operators have an u...
- Forecast flood risk ahead of events — Use weather forecasts, river data, and hydrological models to predict where and when flooding wil...
Decision Patterns
- Hydrological monitoring networks — Measure water levels and flows
- Predictive modelling systems — Forecast future system states
System Models
Flood & hydrological models
Tool: Delft-FEWS / regional flood models — Predicts river flooding and issues 5–10 day warnings
Overview
Bangladesh is one of the most flood-prone countries on Earth. Situated at the confluence of the Ganges, Brahmaputra, and Meghna river systems, with 80% of the country forming a low-lying floodplain and delta, annual monsoon flooding inundates 20–30% of the country in a normal year and up to 70% in extreme years (as in 1998).
The Flood Forecasting and Warning Centre (FFWC), established in 1972, has evolved from a basic river gauge network into a sophisticated multi-hazard early warning system that now provides 5–10 day flood forecasts across the major river systems. This extended lead time enables communities to evacuate, protect livestock, and secure food supplies.
Flood deaths in Bangladesh have fallen by over 90% since the 1990s despite population growth, largely attributable to improved forecasting, warning dissemination, community preparedness, and flood shelter infrastructure.
Timeline & Location
1972: FFWC established after Bangladesh independence. 1988 & 1998: Catastrophic floods (1998: two-thirds of country submerged for months) drive investment in forecasting. 2000s: WMO-supported modernisation of forecasting systems. 2007: Cyclone Sidr (3,500 deaths vs. 300,000+ in comparable 1970 cyclone) demonstrates improved warning effectiveness. 2010s: Satellite-based and numerical weather prediction models integrated. 2017: Flash flood early warning system for northeast regions. 2020s: Forecast-based financing (FbF) pilots enable anticipatory action before floods hit.
Stakeholders
The Flood Forecasting and Warning Centre (FFWC) under the Bangladesh Water Development Board is the primary technical agency. The Department of Disaster Management coordinates emergency response.
International partners have been critical: the World Meteorological Organization (WMO) provides technical support, ICIMOD and RIMES support regional forecasting, and India’s Central Water Commission shares upstream river flow data (critical since most of Bangladesh’s flood waters originate in India and Nepal).
Community-level Disaster Management Committees and volunteers are the final link in the warning chain, disseminating forecasts to rural populations via loudspeakers, mobile phones, and community networks.
Digitalisation & Data
Hydrological Modelling
FFWC uses MIKE 11 and other hydrological models fed by real-time data from over 100 river gauging stations, satellite rainfall estimates, and upstream data from India to produce flood forecasts.
Satellite Remote Sensing
NASA MODIS and Sentinel satellite imagery provides near-real-time flood extent mapping during events, enabling response coordination and damage assessment.
Mobile Dissemination
Flood warnings are disseminated via SMS to millions of mobile phone users, smartphone apps, community radio, and social media. The “last mile” challenge of reaching remote rural communities is addressed through community volunteer networks.
Hazards
Exogenous Hazards
Climate change intensifying monsoon rainfall and glacial melt, increasing flood magnitude and frequency. Sea level rise exacerbating coastal and riverine flooding. Upstream land use changes in India and Nepal affecting runoff patterns.
Endogenous Hazards
Limited transboundary data sharing with upstream countries. Infrastructure constraints in maintaining gauging station networks. Reaching the most vulnerable and remote communities with actionable warnings. Urbanisation increasing flood exposure in Dhaka and other cities.
Cost & Benefit
Cost: The FFWC modernisation and maintenance costs approximately $10–20 million over five-year investment cycles, funded primarily through international development assistance. Community-level preparedness programmes add additional costs.
Key Benefits: Flood deaths reduced by over 90% since the 1990s despite population doubling. Economic losses reduced through advance warning enabling livestock evacuation, grain storage, and household preparation. The Global Commission on Adaptation estimates that every $1 invested in early warning systems yields $4–10 in avoided losses.
Resilience Principles Assessment
Assessment of meeting Principles of Resilient Infrastructure
Proactively Protected (P2)
The extension of flood forecast lead times from hours to 5–10 days enables proactive protective action by communities rather than reactive emergency response. Forecast-based financing pilots take this further by releasing funds before disasters strike.
Socially Engaged (P4)
Community-based disaster preparedness is central to the system’s effectiveness. Community Disaster Management Committees, volunteer networks, and local-language warning messages ensure warnings reach and are understood by vulnerable populations.
Shared Responsibility (P5)
The system operates through shared responsibility across international partners (WMO, donors), national government (FFWC, disaster management), and community-level organisations. Transboundary data sharing with India is critical but requires ongoing diplomatic engagement.
Continuously Learning (P1)
Post-flood assessments inform improvements to forecasting models and warning dissemination. Each major flood event generates lessons that are incorporated into system upgrades. International knowledge exchange through WMO networks enables continuous improvement.
Adaptively Transforming (P6)
The shift from reactive disaster response to anticipatory action (forecast-based financing) represents a fundamental transformation in how Bangladesh manages flood risk. The system continues to evolve from basic warnings to actionable, impact-based forecasts.
Environmentally Integrated (P3) To Do
Details pending.
Futures
Bangladesh is working to extend forecast lead times further, improve flash flood and urban flood warnings, and scale up forecast-based financing for anticipatory humanitarian action. Climate change adaptation planning integrates flood early warning with longer-term resilience building, including the Bangladesh Delta Plan 2100.