The seasonality of meteorology significantly influences the distribution of atmospheric pollution that have harmful effect on human, environment and economy. Similarly, Ethiopia has erratic seasons, this can impact air pollution. Thus, this study focused on intercomparison of PurpleAir PM2.5 measurement at Addis Ababa city. The existing data processed by R software. Accordingly, the finding show that, during the rainy season, PM2.5 levels exhibit a consistent pattern with concentrations peaking in the early night and reaching their lowest at midday. At Black Lion Hospital (BLH), peak concentrations extend to midday due to due to heavy traffic and cross-sectional jams to travel commercial areas. In contrast, during the semi-rainy and dry seasons, PM2.5 levels peak in the early morning and decrease by midday. Hourly variations in PM2.5 concentrations could be influenced by factors such as temperature inversion, wind, relative humidity, and solar intensity, alongside transportation and industrial activities. Analysis reveals that a significant proportion of the seasonal hourly mean trend during the rainy season, vary in between 30 µg/m3 to 50 µg/m3 of the hourly data while 15 µg/m3 to 40 µg/m3 of data in both the semi-rainy and dry seasons also surpass these guidelines. Despite the general reduction in pollution levels due to rain, the rainy season still contributes to elevated PM2.5 concentrations, posing substantial risks to human health, the environment, and development activities. The monthly mean pattern further highlights a peak in PM2.5 concentrations during the rainy season, underscoring the complex dynamics of air quality. This finding emphasizes the need for targeted strategies to manage pollution throughout the year. The finding suggest that, expand air quality monitoring, and reduce traffic emissions, strengthen industrial regulations and increase public awareness. It may relevance for air quality management strategies for local and regional governments.
Published in | International Journal of Environmental Monitoring and Analysis (Volume 12, Issue 6) |
DOI | 10.11648/j.ijema.20241206.11 |
Page(s) | 141-148 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Seasonality, Comparison, PurpleAir, PM2.5, Addis Ababa
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APA Style
Redi, T. (2024). Seasonal Inter-comparison of Fine Particulate Matter (PM2.5) Over Addis Ababa, Ethiopia. International Journal of Environmental Monitoring and Analysis, 12(6), 141-148. https://doi.org/10.11648/j.ijema.20241206.11
ACS Style
Redi, T. Seasonal Inter-comparison of Fine Particulate Matter (PM2.5) Over Addis Ababa, Ethiopia. Int. J. Environ. Monit. Anal. 2024, 12(6), 141-148. doi: 10.11648/j.ijema.20241206.11
@article{10.11648/j.ijema.20241206.11, author = {Tofikk Redi}, title = {Seasonal Inter-comparison of Fine Particulate Matter (PM2.5) Over Addis Ababa, Ethiopia }, journal = {International Journal of Environmental Monitoring and Analysis}, volume = {12}, number = {6}, pages = {141-148}, doi = {10.11648/j.ijema.20241206.11}, url = {https://doi.org/10.11648/j.ijema.20241206.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20241206.11}, abstract = {The seasonality of meteorology significantly influences the distribution of atmospheric pollution that have harmful effect on human, environment and economy. Similarly, Ethiopia has erratic seasons, this can impact air pollution. Thus, this study focused on intercomparison of PurpleAir PM2.5 measurement at Addis Ababa city. The existing data processed by R software. Accordingly, the finding show that, during the rainy season, PM2.5 levels exhibit a consistent pattern with concentrations peaking in the early night and reaching their lowest at midday. At Black Lion Hospital (BLH), peak concentrations extend to midday due to due to heavy traffic and cross-sectional jams to travel commercial areas. In contrast, during the semi-rainy and dry seasons, PM2.5 levels peak in the early morning and decrease by midday. Hourly variations in PM2.5 concentrations could be influenced by factors such as temperature inversion, wind, relative humidity, and solar intensity, alongside transportation and industrial activities. Analysis reveals that a significant proportion of the seasonal hourly mean trend during the rainy season, vary in between 30 µg/m3 to 50 µg/m3 of the hourly data while 15 µg/m3 to 40 µg/m3 of data in both the semi-rainy and dry seasons also surpass these guidelines. Despite the general reduction in pollution levels due to rain, the rainy season still contributes to elevated PM2.5 concentrations, posing substantial risks to human health, the environment, and development activities. The monthly mean pattern further highlights a peak in PM2.5 concentrations during the rainy season, underscoring the complex dynamics of air quality. This finding emphasizes the need for targeted strategies to manage pollution throughout the year. The finding suggest that, expand air quality monitoring, and reduce traffic emissions, strengthen industrial regulations and increase public awareness. It may relevance for air quality management strategies for local and regional governments. }, year = {2024} }
TY - JOUR T1 - Seasonal Inter-comparison of Fine Particulate Matter (PM2.5) Over Addis Ababa, Ethiopia AU - Tofikk Redi Y1 - 2024/11/29 PY - 2024 N1 - https://doi.org/10.11648/j.ijema.20241206.11 DO - 10.11648/j.ijema.20241206.11 T2 - International Journal of Environmental Monitoring and Analysis JF - International Journal of Environmental Monitoring and Analysis JO - International Journal of Environmental Monitoring and Analysis SP - 141 EP - 148 PB - Science Publishing Group SN - 2328-7667 UR - https://doi.org/10.11648/j.ijema.20241206.11 AB - The seasonality of meteorology significantly influences the distribution of atmospheric pollution that have harmful effect on human, environment and economy. Similarly, Ethiopia has erratic seasons, this can impact air pollution. Thus, this study focused on intercomparison of PurpleAir PM2.5 measurement at Addis Ababa city. The existing data processed by R software. Accordingly, the finding show that, during the rainy season, PM2.5 levels exhibit a consistent pattern with concentrations peaking in the early night and reaching their lowest at midday. At Black Lion Hospital (BLH), peak concentrations extend to midday due to due to heavy traffic and cross-sectional jams to travel commercial areas. In contrast, during the semi-rainy and dry seasons, PM2.5 levels peak in the early morning and decrease by midday. Hourly variations in PM2.5 concentrations could be influenced by factors such as temperature inversion, wind, relative humidity, and solar intensity, alongside transportation and industrial activities. Analysis reveals that a significant proportion of the seasonal hourly mean trend during the rainy season, vary in between 30 µg/m3 to 50 µg/m3 of the hourly data while 15 µg/m3 to 40 µg/m3 of data in both the semi-rainy and dry seasons also surpass these guidelines. Despite the general reduction in pollution levels due to rain, the rainy season still contributes to elevated PM2.5 concentrations, posing substantial risks to human health, the environment, and development activities. The monthly mean pattern further highlights a peak in PM2.5 concentrations during the rainy season, underscoring the complex dynamics of air quality. This finding emphasizes the need for targeted strategies to manage pollution throughout the year. The finding suggest that, expand air quality monitoring, and reduce traffic emissions, strengthen industrial regulations and increase public awareness. It may relevance for air quality management strategies for local and regional governments. VL - 12 IS - 6 ER -