4.5 Article

First Measurements of Ambient PM2.5 in Kinshasa, Democratic Republic of Congo and Brazzaville, Republic of Congo Using Field-calibrated Low-cost Sensors

期刊

AEROSOL AND AIR QUALITY RESEARCH
卷 21, 期 7, 页码 -

出版社

TAIWAN ASSOC AEROSOL RES-TAAR
DOI: 10.4209/aaqr.200619

关键词

Low-cost sensors; Particulate matter; Air quality; Africa

资金

  1. Columbia University Climate and Life Fellowship
  2. Columbia University Climate Center grant
  3. National Research Agency under the Programme d'Investissements d'Avenir [ANR-18-MPGA-0011]
  4. Columbia University Earth Institute
  5. NASA
  6. Earth Institute Student Research Fellowship
  7. Agence Nationale de la Recherche (ANR) [ANR-18-MPGA-0011] Funding Source: Agence Nationale de la Recherche (ANR)

向作者/读者索取更多资源

Estimates of air pollution mortality in sub-Saharan Africa are limited by a lack of surface observations of fine particulate matter (PM2.5). Despite the absence of reference air pollution monitors in Kinshasa and Brazzaville, some have been deployed in other parts of the region. The study results emphasize the urgency of implementing clean air solutions.
Estimates of air pollution mortality in sub-Saharan Africa are limited by a lack of surface observations of fine particulate matter (PM2.5). Despite being large metropolises, Kinshasa, Democratic Republic of the Congo (DRC), and Brazzaville, Republic of the Congo (ROC), which possess populations of 14.3 million and 2.4 million, respectively, use no reference air pollution monitors at the time of writing. However, a few reference monitors have recently been deployed in other parts of sub-Saharan Africa, including a Met One Beta Attenuation Monitor (BAM-1020) at the U.S. Embassy in Kampala, Uganda, next to which a low-cost PM2.5 monitor, the PurpleAir, was collocated in August 2019. The raw PurpleAir data from September 2019 through February 2020 strongly correlated with the BAM-1020 measurements (R-2 = 0.88) but also exhibited a mean absolute error (MAE) of approximately 14 mu g m(-3). Employing two calibration models, namely, multiple linear regression and random forests, decreased the MAE to 3.4 mu g m(-3) and increased R-2 to 0.96. Given the similarity in climate and emissions, we applied the collocated field correction factors for Kampala to four PurpleAir units in Kinshasa and one in neighboring Brazzaville, which were deployed in April 2018. We estimated an average annual PM2.5 concentration of 43.5 mu g m(-3) in Kinshasa for 2019, which exceeds the World Health Organization (WHO)'s Interim Target 1 (10 mu g m(-3)) by 4 times. Finally, the surface PM2.5 level and the aerosol optical depth were about 40% lower during the COVID-19 lockdown in 2020 than the corresponding period in 2019, which cannot be attributed solely to changes in meteorology or wildfire emission. Hence, our results highlight the need to implement clean air solutions in the Congo.

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