Facing thousands of deaths linked to air pollution in several cities in Nepal, Ethiopia, and Malawi, a British university is developing green urban planning solutions to cool streets and reduce health risks.
Context
Air pollution is a major public health challenge in several developing countries, notably in Nepal, Ethiopia, and Malawi. Each year, it is responsible for tens of thousands of adult deaths, exacerbating risks related to respiratory and cardiovascular diseases. In these regions, rapid urban growth worsens the issue by increasing pollutant concentrations and the heat island effect.
At the same time, global warming amplifies the frequency and intensity of heatwaves in urban areas, contributing to excess mortality and deteriorating living conditions. Existing infrastructures struggle to adapt, and vulnerable populations remain exposed to these multiple environmental risks.
In this context, the need for targeted interventions based on precise scientific data is urgent to improve urban quality of life. Green urban planning, notably through greening initiatives, appears as a promising solution to combine pollution reduction, heat island mitigation, and stormwater management.
Facts
According to a study reported by Phys.org Earth Science, atmospheric pollution causes approximately 48,881 adult deaths annually in Nepal, over 25,000 deaths in Ethiopia, as well as significant health impacts in rapidly growing cities in Malawi. These figures highlight the scale of the health problem related to air quality in these countries.
To address these challenges, researchers from the University of Surrey, in collaboration with local partners, have developed three practical tools adapted to the specific urban contexts of each country. These tools, based on scientific evidence, provide recommendations to integrate greening into urban projects to reduce exposure to pollutants, cool streets, and decrease flood risk.
These initiatives aim to provide an operational framework for urban planners and local decision-makers, taking into account the climatic, demographic, and socio-economic characteristics specific to each region. They rely on co-construction with local stakeholders to ensure the relevance and effectiveness of the proposed solutions.
Green Urban Planning and Pollution Control: A Tailored Scientific Approach
The developed tools notably integrate satellite data and atmospheric measurements to map the areas most exposed to pollution and overheating. This approach relies on predictive models that assess the potential impact of greening interventions on air quality and urban temperature.
The use of machine learning and neural networks allows refining these models by considering the complexity of interactions between urbanization, local climate, and pollution. Thus, the recommendations are not generic but adapted to the specificities of the studied cities, maximizing their effectiveness.
By integrating these tools into urban planning processes, authorities can better target public spaces and infrastructures where greening will have an optimal effect, contributing to reducing heat islands and protecting vulnerable populations.
Analysis and Challenges
The creation of these specific tools comes at a crucial time when cities in developing countries face a dual emergency: reducing air pollution and adapting to climate change. Green urban planning, already recognized for its environmental benefits, becomes a strategic lever for public health and urban resilience.
One major challenge is the capacity of local authorities to integrate these recommendations into their policies, despite economic and technical constraints. Success will also depend on the training and involvement of local actors, as well as the mobilization of appropriate funding.
Moreover, the implementation of these solutions could serve as a model for other cities facing similar issues, notably in sub-Saharan Africa and South Asia. It illustrates how scientific innovation and data can be translated into concrete actions to improve urban quality of life.
Reactions and Perspectives
Local partners involved in the development of these tools have emphasized their relevance and usefulness in guiding urban policies. They stress the need for ongoing support to ensure effective implementation and adaptation of solutions over time.
From the scientific side, this initiative confirms the growing interest in developing predictive tools based on AI and machine learning in urban meteorology and environmental management. These technologies pave the way for more targeted and effective interventions in the face of climate change challenges.
Finally, these projects fit within the international momentum driven by programs such as Copernicus, which provide essential satellite data for monitoring and managing urban environments.
In Summary
Faced with the dramatic health consequences of atmospheric pollution in cities in Nepal, Ethiopia, and Malawi, researchers have developed adapted tools to guide urban greening. This approach combining satellite data, modeling, and local collaboration helps mitigate heat islands, improve air quality, and reduce flood risks.
At a time when cities in developing countries must reconcile urban growth and climate resilience, these innovative solutions represent a concrete step toward healthier and more sustainable urban environments, with a direct impact on population health.
