Imperial College London
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ProfessorMajidEzzati

Faculty of Medicine, School of Public Health

Chair in Global Environmental Health
 
 
 
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Contact

 

majid.ezzati Website

 
 
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Location

 

Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Alli:2023:10.1016/j.scitotenv.2023.162582,
author = {Alli, AS and Clark, SN and Wang, J and Bennett, J and Hughes, A and Ezzati, M and Brauer, M and Nimo, J and Bedford-Moses, J and Baah, S and Cavanaugh, A and Agyei-Mensah, S and Owusu, G and Baumgartner, J and Arku, R},
doi = {10.1016/j.scitotenv.2023.162582},
journal = {Science of the Total Environment},
pages = {1--11},
title = {High-resolution patterns and inequalities in ambient fine particle mass (PM2.5) and black carbon (BC) in the Greater Accra Metropolis, Ghana.},
url = {http://dx.doi.org/10.1016/j.scitotenv.2023.162582},
volume = {875},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Growing cities in sub-Saharan Africa (SSA) experience high levels of ambient air pollution. However, sparse long-term city-wide air pollution exposure data limits policy mitigation efforts and assessment of the health and climate effects in growing cities. In the first study of its kind in West Africa, we developed high resolution spatiotemporal land use regression (LUR) models to map fine particulate matter (PM2.5) and black carbon (BC) concentrations in the Greater Accra Metropolitan Area (GAMA), one of the fastest sprawling metropolises in SSA. We conducted a one-year measurement campaign covering 146 sites and combined these data with geospatial and meteorological predictors to develop separate Harmattan and non-Harmattan season PM2.5 and BC models at 100m resolution. The final models were selected with a forward stepwise procedure and performance was evaluated with 10-fold cross-validation. Model predictions were overlayed with the most recent census data to estimate the population distribution of exposure and socioeconomic inequalities in exposure at the census enumeration area level. The fixed effects components of the models explained 48-69% and 63-71% of the variance in PM2.5 and BC concentrations, respectively. Spatial variables related to road traffic and vegetation variables explained the most variability in the non-Harmattan models, while temporal variables were dominant in the Harmattan models. The entire GAMA population is exposed to PM2.5 levels above the World Health Organization guideline, including even the Interim Target 3 (15μg/m3), with the highest exposures in poorer neighborhoods. The models can be used to support air pollution mitigation policies, health, and climate impact assessments. The measurement and modelling approach used in this study can be adapted to other African cities to bridge the air pollution data gap in the region.
AU  - Alli,AS
AU  - Clark,SN
AU  - Wang,J
AU  - Bennett,J
AU  - Hughes,A
AU  - Ezzati,M
AU  - Brauer,M
AU  - Nimo,J
AU  - Bedford-Moses,J
AU  - Baah,S
AU  - Cavanaugh,A
AU  - Agyei-Mensah,S
AU  - Owusu,G
AU  - Baumgartner,J
AU  - Arku,R
DO  - 10.1016/j.scitotenv.2023.162582
EP  - 11
PY  - 2023///
SN  - 0048-9697
SP  - 1
TI  - High-resolution patterns and inequalities in ambient fine particle mass (PM2.5) and black carbon (BC) in the Greater Accra Metropolis, Ghana.
T2  - Science of the Total Environment
UR  - http://dx.doi.org/10.1016/j.scitotenv.2023.162582
UR  - https://www.ncbi.nlm.nih.gov/pubmed/36870487
UR  - https://www.sciencedirect.com/science/article/pii/S0048969723011981
UR  - http://hdl.handle.net/10044/1/103372
VL  - 875
ER  -
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