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Longitudinal Ambient PM 2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Longitudinal Ambient PM 2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors. / Awokola, Babatunde; Okello, Gabriel; Johnson, Olatunji et al.
In: Atmosphere, Vol. 13, No. 10, 1593, 29.09.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Awokola, B, Okello, G, Johnson, O, Dobson, R, Ouédraogo, AR, Dibba, B, Ngahane, M, Ndukwu, C, Agunwa, C, Marangu, D, Lawin, H, Ogugua, I, Eze, J, Nwosu, N, Ofiaeli, O, Ubuane, P, Osman, R, Awokola, E, Erhart, A, Mortimer, K, Jewell, C, Semple, S & Suriano, D (ed.) 2022, 'Longitudinal Ambient PM 2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors', Atmosphere, vol. 13, no. 10, 1593. https://doi.org/10.3390/atmos13101593

APA

Awokola, B., Okello, G., Johnson, O., Dobson, R., Ouédraogo, A. R., Dibba, B., Ngahane, M., Ndukwu, C., Agunwa, C., Marangu, D., Lawin, H., Ogugua, I., Eze, J., Nwosu, N., Ofiaeli, O., Ubuane, P., Osman, R., Awokola, E., Erhart, A., ... Suriano, D. (Ed.) (2022). Longitudinal Ambient PM 2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors. Atmosphere, 13(10), Article 1593. Advance online publication. https://doi.org/10.3390/atmos13101593

Vancouver

Awokola B, Okello G, Johnson O, Dobson R, Ouédraogo AR, Dibba B et al. Longitudinal Ambient PM 2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors. Atmosphere. 2022 Sept 29;13(10):1593. Epub 2022 Sept 29. doi: 10.3390/atmos13101593

Author

Awokola, Babatunde ; Okello, Gabriel ; Johnson, Olatunji et al. / Longitudinal Ambient PM 2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors. In: Atmosphere. 2022 ; Vol. 13, No. 10.

Bibtex

@article{7f33025c40da4f9fa862898f7e362616,
title = "Longitudinal Ambient PM 2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors",
abstract = "Air pollution is a major global public health issue causing considerable morbidity and mortality. Measuring levels of air pollutants and facilitating access to the data has been identified as a pathway to raise awareness and initiate dialogue between relevant stakeholders. Low-and middle-income countries (LMICs) urgently need simple, low-cost approaches to generate such data, especially in settings with no or unreliable data. We established a network of easy-to-use low-cost air quality sensors (PurpleAir-II-SD) to monitor fine particulate matter (PM2.5) concentrations at 15 sites, in 11 cities across eight sub-Saharan Africa (sSA) countries between February 2020 and January 2021. Annual PM2.5 concentrations, seasonal and temporal variability were determined. Time trends were modelled using harmonic regression. Annual PM2.5 concentrations ranged between 10 and 116 µg/m3 across study sites, exceeding the current WHO annual mean guideline level of 5 µg/m3. The largest degree of seasonal variation was seen in Nigeria, where seven sites showed higher PM2.5 levels during the dry than during the wet season. Other countries with less pronounced dry/wet season variations were Benin (20 µg/m3 versus 5 µg/m3), Uganda (50 µg/m3 versus 45 µg/m3), Sukuta (Gambia) (20 µg/m3 versus 15 µg/m3) and Kenya (30 µg/m3 versus 25 µg/m3). Diurnal variation was observed across all sites, with two daily PM2.5 peaks at about 06:00 and 18:00 local time. We identified high levels of air pollution in the 11 African cities included in this study. This calls for effective control measures to protect the health of African urban populations. The PM2.5 peaks around {\textquoteleft}rush hour{\textquoteright} suggest traffic-related emissions should be a particular area for attention.",
keywords = "Article, air pollution, outdoor PM concentration, low-cost sensors, longitudinal study, advocacy, sub-Saharan Africa",
author = "Babatunde Awokola and Gabriel Okello and Olatunji Johnson and Ruaraidh Dobson and Ou{\'e}draogo, {Abdoul Risgou} and Bakary Dibba and Mbatchou Ngahane and Chizalu Ndukwu and Chuka Agunwa and Diana Marangu and Herve Lawin and Ifeoma Ogugua and Joy Eze and Nnamdi Nwosu and Ogochukwu Ofiaeli and Peter Ubuane and Rashid Osman and Endurance Awokola and Annette Erhart and Kevin Mortimer and Christopher Jewell and Sean Semple and Domenico Suriano",
year = "2022",
month = sep,
day = "29",
doi = "10.3390/atmos13101593",
language = "English",
volume = "13",
journal = "Atmosphere",
issn = "2073-4433",
publisher = "MDPI AG",
number = "10",

}

RIS

TY - JOUR

T1 - Longitudinal Ambient PM 2.5 Measurement at Fifteen Locations in Eight Sub-Saharan African Countries Using Low-Cost Sensors

AU - Awokola, Babatunde

AU - Okello, Gabriel

AU - Johnson, Olatunji

AU - Dobson, Ruaraidh

AU - Ouédraogo, Abdoul Risgou

AU - Dibba, Bakary

AU - Ngahane, Mbatchou

AU - Ndukwu, Chizalu

AU - Agunwa, Chuka

AU - Marangu, Diana

AU - Lawin, Herve

AU - Ogugua, Ifeoma

AU - Eze, Joy

AU - Nwosu, Nnamdi

AU - Ofiaeli, Ogochukwu

AU - Ubuane, Peter

AU - Osman, Rashid

AU - Awokola, Endurance

AU - Erhart, Annette

AU - Mortimer, Kevin

AU - Jewell, Christopher

AU - Semple, Sean

A2 - Suriano, Domenico

PY - 2022/9/29

Y1 - 2022/9/29

N2 - Air pollution is a major global public health issue causing considerable morbidity and mortality. Measuring levels of air pollutants and facilitating access to the data has been identified as a pathway to raise awareness and initiate dialogue between relevant stakeholders. Low-and middle-income countries (LMICs) urgently need simple, low-cost approaches to generate such data, especially in settings with no or unreliable data. We established a network of easy-to-use low-cost air quality sensors (PurpleAir-II-SD) to monitor fine particulate matter (PM2.5) concentrations at 15 sites, in 11 cities across eight sub-Saharan Africa (sSA) countries between February 2020 and January 2021. Annual PM2.5 concentrations, seasonal and temporal variability were determined. Time trends were modelled using harmonic regression. Annual PM2.5 concentrations ranged between 10 and 116 µg/m3 across study sites, exceeding the current WHO annual mean guideline level of 5 µg/m3. The largest degree of seasonal variation was seen in Nigeria, where seven sites showed higher PM2.5 levels during the dry than during the wet season. Other countries with less pronounced dry/wet season variations were Benin (20 µg/m3 versus 5 µg/m3), Uganda (50 µg/m3 versus 45 µg/m3), Sukuta (Gambia) (20 µg/m3 versus 15 µg/m3) and Kenya (30 µg/m3 versus 25 µg/m3). Diurnal variation was observed across all sites, with two daily PM2.5 peaks at about 06:00 and 18:00 local time. We identified high levels of air pollution in the 11 African cities included in this study. This calls for effective control measures to protect the health of African urban populations. The PM2.5 peaks around ‘rush hour’ suggest traffic-related emissions should be a particular area for attention.

AB - Air pollution is a major global public health issue causing considerable morbidity and mortality. Measuring levels of air pollutants and facilitating access to the data has been identified as a pathway to raise awareness and initiate dialogue between relevant stakeholders. Low-and middle-income countries (LMICs) urgently need simple, low-cost approaches to generate such data, especially in settings with no or unreliable data. We established a network of easy-to-use low-cost air quality sensors (PurpleAir-II-SD) to monitor fine particulate matter (PM2.5) concentrations at 15 sites, in 11 cities across eight sub-Saharan Africa (sSA) countries between February 2020 and January 2021. Annual PM2.5 concentrations, seasonal and temporal variability were determined. Time trends were modelled using harmonic regression. Annual PM2.5 concentrations ranged between 10 and 116 µg/m3 across study sites, exceeding the current WHO annual mean guideline level of 5 µg/m3. The largest degree of seasonal variation was seen in Nigeria, where seven sites showed higher PM2.5 levels during the dry than during the wet season. Other countries with less pronounced dry/wet season variations were Benin (20 µg/m3 versus 5 µg/m3), Uganda (50 µg/m3 versus 45 µg/m3), Sukuta (Gambia) (20 µg/m3 versus 15 µg/m3) and Kenya (30 µg/m3 versus 25 µg/m3). Diurnal variation was observed across all sites, with two daily PM2.5 peaks at about 06:00 and 18:00 local time. We identified high levels of air pollution in the 11 African cities included in this study. This calls for effective control measures to protect the health of African urban populations. The PM2.5 peaks around ‘rush hour’ suggest traffic-related emissions should be a particular area for attention.

KW - Article

KW - air pollution

KW - outdoor PM concentration

KW - low-cost sensors

KW - longitudinal study

KW - advocacy

KW - sub-Saharan Africa

U2 - 10.3390/atmos13101593

DO - 10.3390/atmos13101593

M3 - Journal article

VL - 13

JO - Atmosphere

JF - Atmosphere

SN - 2073-4433

IS - 10

M1 - 1593

ER -