Spatial Extent and Distribution of Ambient Airborne Particulate Matter (PM2.5) in Selected Land Use Sites in Nairobi, Kenya
Author(s) -
Caroline Kiai,
Christopher Kanali,
Joseph Sang,
Michael Gatari
Publication year - 2021
Publication title -
journal of environmental and public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.869
H-Index - 35
eISSN - 1687-9813
pISSN - 1687-9805
DOI - 10.1155/2021/4258816
Subject(s) - particulates , environmental science , air quality index , air pollution , pollutant , pollution , aerosol , spatial distribution , environmental engineering , environmental protection , meteorology , geography , remote sensing , ecology , chemistry , organic chemistry , biology
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 μ m (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 μ g/m³), and the lowest concentration at Karura (21.25 μ g/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.
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