Pointe-Noire
Republic of Congo
Pointe-Noire is projected to face numerous climate hazards that threaten public health and infrastructure. Increased frequency of heatwaves will elevate health risks among the population. Additionally, the city will experience more frequent heavy precipitation events, contributing to flooding and sanitation issues. High arbovirus transmission risk is expected as climate change conditions may enhance mosquito breeding. Furthermore, elevated malaria risk will emerge as warmer, humid environments foster mosquito proliferation. This combination of climate-related challenges poses significant vulnerabilities for Pointe-Noire's residents, requiring attention to these critical issues as they unfold.
Hazard Outlook
How will Pointe-Noire's projected climate hazards compare to other cities under a 3.0°C future warming scenario?
Heavy Rainfall Days
With 30 days of heavy rainfall expected, Pointe-Noire ranks among the highest of all cities for extreme precipitation events.
Longest Heatwave
Pointe-Noire may experience heatwaves lasting up to 9 days, among the highest of all other cities.
Elevation
At 14 m elevation, Pointe-Noire faces high risk from coastal flooding and sea level rise.
Maximum Rainfall
Pointe-Noire's projected maximum rainfall of 9 mm is near the median of cities globally.
Maximum Temperature
Pointe-Noire's projected maximum temperature of 7.8°C is lower than most cities globally under a 3.0°C warming scenario.
Exposure Summary
Adaptation Priorities
Pointe-Noire faces high exposure to heavy rain, heatwave, elevation. 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 Pointe-Noire.
No solutions have been documented for Pointe-Noire.
This is an archived snapshot of the database.
Recommended Solutions
Proven solutions from similar cities that could help diversify Pointe-Noire's resilience portfolio
Community-Based Open-Source Flood Risk Mapping Platform
74%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.
Community-Led Participatory Flood Risk Mapping Using Open-Source Tools
65%Community-led resources mapping represents an effective and replicable model for Lagos to strengthen preparation against flood management challenges.
UAV LiDAR and Bathymetric Survey for Flood Modeling
74%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
74%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.
LiDAR and Bathymetric UAV Surveying for Flood Basin Modeling
74%The Tanzania Urban Resilience Program deployed an innovative combination of Light Detection and Range (LiDAR) UAV surveying and bathymetric surveying to support flood modelling within the flood-prone Msimbazi river basin.
LiDAR UAV Surveying for Flood Modeling and River Basin Mapping
74%The Tanzania Urban Resilience Program deployed an innovative combination of Light Detection and Range (LiDAR) UAV surveying and bathometric surveying to support flood modelling within the flood-prone Msimbazi river basin.
Lagos State Emergency Command and Control Centre
65%Lagos State has developed a comprehensive emergency management platform centered on the Lagos State Command and Control Centre (LSCCC), which has served as the central hub for coordinating emergency services including LASEMA, Lagos State Fire and Rescue Service, LASTMA, LASAMBUS, and the Rapid Response Squad since its inception in 2010.
Integrated Flood Forecasting and Modeling System for River Basins
74%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
74%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
74%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.