Mymensingh
Bangladesh
Mymensingh is projected to face multiple climate hazards, significantly increasing its climate vulnerability. The city will likely experience dangerous heat extremes and frequent heatwaves, which pose serious risks to public health and wellbeing. Additionally, it faces heavy rainfall events, leading to potential flooding, alongside prolonged drought conditions that threaten water resources and agricultural productivity. The rise in arbovirus transmission risk and elevated malaria transmission further underscores the health challenges posed by the changing climate. These risks highlight the urgent need for awareness and planning as Mymensingh navigates a future marked by these climate challenges.
Hazard Outlook
How will Mymensingh's projected climate hazards compare to other cities under a 3.0°C future warming scenario?
Maximum Rainfall
Mymensingh's projected maximum rainfall of 23 mm is among the highest of all cities globally.
Elevation
At 16 m elevation, Mymensingh faces high risk from coastal flooding and sea level rise.
Maximum Temperature
Mymensingh's projected maximum temperature of 9.8°C is higher than most cities globally under a 3.0°C warming scenario.
Heavy Rainfall Days
With 10 days of heavy rainfall expected, Mymensingh ranks higher than most cities for extreme precipitation events.
Longest Heatwave
Mymensingh may experience heatwaves lasting up to 4 days, lower than most other cities.
Exposure Summary
Adaptation Priorities
Mymensingh faces high exposure to max rain, elevation and elevated exposure to max temp, heavy rain. These areas may warrant priority attention in adaptation planning.
Data source: Climate projections from the IPCC AR6 scenario analysis. See our methodology for details on how we process and interpret this data.
Deployed Solutions
Deployed climate adaptation technologies identified in Mymensingh.
No solutions have been documented for Mymensingh.
This is an archived snapshot of the database.
Recommended Solutions
Proven solutions from similar cities that could help diversify Mymensingh's resilience portfolio
Integrated Hydro-Meteorological Warning System
87%The Integrated Hydro-Meteorological Warning System (IHWS) was implemented in Central Vietnam, specifically in Da Nang City and Quang Nam Province, serving a population of 1,300,000 inhabitants in areas particularly vulnerable to natural disasters.
Inclusive Sign Language Early Warning System for Deaf Communities
87%An inclusive early warning system was developed and piloted in Da Nang to address critical gaps in disaster communication for the deaf and hard of hearing (DHH) community.
Community-Based Open-Source Flood Risk Mapping Platform
81%Ramani Huria, meaning "Open Map" in Swahili, is a community-based mapping initiative launched in 2015 to create comprehensive and accurate maps of Dar es Salaam, with particular focus on the most flood-prone areas.
UAV LiDAR and Bathymetric Survey for Flood Modeling
81%A comprehensive bathymetric and topographic surveying project was conducted on the Msimbazi River in Dar es Salaam for the World Bank, comparing UAV Photogrammetry and UAV LiDAR technologies for generation of Digital Terrain Models for flood modelling purposes.
UAV LiDAR and Photogrammetry for Flood Modeling Digital Terrain Models
81%A World Bank-funded comparative study evaluated UAV photogrammetry and UAV LiDAR technologies for generating Digital Terrain Models to support flood modeling in the Msimbazi River basin.
Reservoir Water Level Monitoring and Early Warning System
87%Da Nang planned to build warning systems linked to water level at Truc Dong and Hoc Khe reservoirs as part of investing in hydro-meteorologic monitoring and early warning systems for flood, flash flood and reservoir breakdown.
Integrated Flood Forecasting and Modeling System for River Basins
81%A sophisticated flood forecasting and modeling system was developed for the Msimbazi River Basin to address recurring urban flooding challenges.
Msimbazi River Water Level and Conductivity Monitoring System
81%A water level monitoring system was installed underneath Selander Bridge at the outfall of the Msimbazi River to measure water levels and conductivity for at least one month as part of comprehensive flood modeling efforts.
Msimbazi River Water Level and Conductivity Monitoring System
81%A water level logger was installed underneath the Selander Bridge at the outfall of the Msimbazi River to measure water levels and conductivity (salinity) for a period of at least one month.