Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria

This study assessed the spatial disposition of air pollutants and their relationship with meteorological parameters in urban slum settlements of Lagos city. The gaseous pollutants were quantified using a gas analyzer, and the PM<sub>2.5</sub> concentration and meteorological parameters w...

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Autores principales: Oluwaseun Princess Okimiji, Kuaanan Techato, John Nyandansobi Simon, Opeyemi Oluwaseun Tope-Ajayi, Angela Tochukwu Okafor, Moses Akintayo Aborisade, Khamphe Phoungthong
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
GIS
Acceso en línea:https://doaj.org/article/a054b568327c454fb36a38802528bdf6
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Sumario:This study assessed the spatial disposition of air pollutants and their relationship with meteorological parameters in urban slum settlements of Lagos city. The gaseous pollutants were quantified using a gas analyzer, and the PM<sub>2.5</sub> concentration and meteorological parameters were determined using an Air Metric Sampler and Wind Mate, respectively. SPSS for Windows and ArcGIS were used for data analysis. The results revealed that the seasonal variations in SO<sub>2</sub>, NO<sub>2</sub>, CO<sub>2</sub>, and PM<sub>2.5</sub> showed a higher level of air pollutant concentration during the dry season than during the wet season. During the wet season, a significant correlation was observed between PM<sub>2.5</sub> and temperature at the 1% level (0.957 **), and VOC and SO<sub>2</sub> (0.907 *) at the 5% level; during the dry season, significant correlations were observed between NO<sub>2</sub> and SO<sub>2</sub> at the 1% level (0.9477 **), and PM<sub>2.5</sub> and relative humidity (0.832 *) at the 5% level. Atmospheric pressure (72%), temperature (60%), and relative humidity (98.4) were the primary meteorological factors affecting air pollutants such as VOC, CO<sub>2</sub>, and SO<sub>2</sub>. The spatial dispersal of air pollutants revealed a high Z score and a moderate <i>p</i>-value, indicating hot spot locations throughout the five selected slum settlements. It is recommended that regular monitoring based on quantifiable economic costs that are beneficial to the well-being of the populace be investigated, and policy-based initiatives for air pollution control based on scientific evidence be advocated for.