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Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM(2.5)) in Selected Land Use Sites in Nairobi, Kenya
Air pollution is one of the most important environmental and public health concerns worldwide. Urban air pollution has been increasing since the industrial revolution due to rapid industrialization, mushrooming of cities, and greater dependence on fossil fuels in urban centers. Particulate matter (P...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605910/ https://www.ncbi.nlm.nih.gov/pubmed/34812262 http://dx.doi.org/10.1155/2021/4258816 |
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author | Kiai, Caroline Kanali, Christopher Sang, Joseph Gatari, Michael |
author_facet | Kiai, Caroline Kanali, Christopher Sang, Joseph Gatari, Michael |
author_sort | Kiai, Caroline |
collection | PubMed |
description | Air pollution is one of the most important environmental and public health concerns worldwide. Urban air pollution has been increasing since the industrial revolution due to rapid industrialization, mushrooming of cities, and greater dependence on fossil fuels in urban centers. Particulate matter (PM) is considered to be one of the main aerosol pollutants that causes a significant adverse impact on human health. Low-cost air quality sensors have attracted attention recently to curb the lack of air quality data which is essential in assessing the health impacts of air pollutants and evaluating land use policies. This is mainly due to their lower cost in comparison to the conventional methods. The aim of this study was to assess the spatial extent and distribution of ambient airborne particulate matter with an aerodynamic diameter less than 2.5 μm (PM(2.5)) in Nairobi City County. Seven sites were selected for monitoring based on the land use type: high- and low-density residential, industrial, agricultural, commercial, road transport, and forest reserve areas. Calibrated low-cost sensors and cyclone samplers were used to monitor PM(2.5) concentration levels and gravimetric measurements for elemental composition of PM(2.5), respectively. The sensor percentage accuracy for calibration ranged from 81.47% to 98.60%. The highest 24-hour average concentration of PM(2.5) was observed in Viwandani, an industrial area (111.87 μg/m³), and the lowest concentration at Karura (21.25 μg/m³), a forested area. The results showed a daily variation in PM(2.5) concentration levels with the peaks occurring in the morning and the evening due to variation in anthropogenic activities and the depth of the atmospheric boundary layer. Therefore, the study suggests that residents in different selected land use sites are exposed to varying levels of PM(2.5) pollution on a regular basis, hence increasing the potential of causing long-term health effects. |
format | Online Article Text |
id | pubmed-8605910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-86059102021-11-21 Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM(2.5)) in Selected Land Use Sites in Nairobi, Kenya Kiai, Caroline Kanali, Christopher Sang, Joseph Gatari, Michael J Environ Public Health Research Article Air pollution is one of the most important environmental and public health concerns worldwide. Urban air pollution has been increasing since the industrial revolution due to rapid industrialization, mushrooming of cities, and greater dependence on fossil fuels in urban centers. Particulate matter (PM) is considered to be one of the main aerosol pollutants that causes a significant adverse impact on human health. Low-cost air quality sensors have attracted attention recently to curb the lack of air quality data which is essential in assessing the health impacts of air pollutants and evaluating land use policies. This is mainly due to their lower cost in comparison to the conventional methods. The aim of this study was to assess the spatial extent and distribution of ambient airborne particulate matter with an aerodynamic diameter less than 2.5 μm (PM(2.5)) in Nairobi City County. Seven sites were selected for monitoring based on the land use type: high- and low-density residential, industrial, agricultural, commercial, road transport, and forest reserve areas. Calibrated low-cost sensors and cyclone samplers were used to monitor PM(2.5) concentration levels and gravimetric measurements for elemental composition of PM(2.5), respectively. The sensor percentage accuracy for calibration ranged from 81.47% to 98.60%. The highest 24-hour average concentration of PM(2.5) was observed in Viwandani, an industrial area (111.87 μg/m³), and the lowest concentration at Karura (21.25 μg/m³), a forested area. The results showed a daily variation in PM(2.5) concentration levels with the peaks occurring in the morning and the evening due to variation in anthropogenic activities and the depth of the atmospheric boundary layer. Therefore, the study suggests that residents in different selected land use sites are exposed to varying levels of PM(2.5) pollution on a regular basis, hence increasing the potential of causing long-term health effects. Hindawi 2021-11-13 /pmc/articles/PMC8605910/ /pubmed/34812262 http://dx.doi.org/10.1155/2021/4258816 Text en Copyright © 2021 Caroline Kiai et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kiai, Caroline Kanali, Christopher Sang, Joseph Gatari, Michael Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM(2.5)) in Selected Land Use Sites in Nairobi, Kenya |
title | Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM(2.5)) in Selected Land Use Sites in Nairobi, Kenya |
title_full | Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM(2.5)) in Selected Land Use Sites in Nairobi, Kenya |
title_fullStr | Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM(2.5)) in Selected Land Use Sites in Nairobi, Kenya |
title_full_unstemmed | Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM(2.5)) in Selected Land Use Sites in Nairobi, Kenya |
title_short | Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM(2.5)) in Selected Land Use Sites in Nairobi, Kenya |
title_sort | spatial extent and distribution of ambient airborne particulate matter (pm(2.5)) in selected land use sites in nairobi, kenya |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605910/ https://www.ncbi.nlm.nih.gov/pubmed/34812262 http://dx.doi.org/10.1155/2021/4258816 |
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