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Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria
by
Okafor, Angela Tochukwu
, Aborisade, Moses Akintayo
, Phoungthong, Khamphe
, Simon, John Nyandansobi
, Tope-Ajayi, Opeyemi Oluwaseun
, Techato, Kuaanan
, Okimiji, Oluwaseun Princess
in
Air pollution
/ Air pollution control
/ ambient air
/ Atmospheric pressure
/ Carbon dioxide
/ Cities
/ Coastal meteorology
/ Correlation
/ Data analysis
/ Dispersal
/ Dry season
/ Economic impact
/ Economics
/ Emissions
/ Environmental impact
/ Gas analyzers
/ Gaseous pollutants
/ Ghettos
/ GIS
/ Humidity
/ Local government
/ Meteorological parameters
/ Meteorology
/ meteorology parameters
/ Nitrogen dioxide
/ Outdoor air quality
/ Parameters
/ Particulate matter
/ Pollutants
/ Pollution control
/ pollution strategies
/ Population
/ Rainy season
/ Regression analysis
/ Relative humidity
/ Seasonal variation
/ Seasonal variations
/ Seasons
/ slum settlements
/ Slums
/ Sulfur dioxide
/ Temperature
/ VOCs
/ Volatile organic compounds
/ Wet season
2021
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Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria
by
Okafor, Angela Tochukwu
, Aborisade, Moses Akintayo
, Phoungthong, Khamphe
, Simon, John Nyandansobi
, Tope-Ajayi, Opeyemi Oluwaseun
, Techato, Kuaanan
, Okimiji, Oluwaseun Princess
in
Air pollution
/ Air pollution control
/ ambient air
/ Atmospheric pressure
/ Carbon dioxide
/ Cities
/ Coastal meteorology
/ Correlation
/ Data analysis
/ Dispersal
/ Dry season
/ Economic impact
/ Economics
/ Emissions
/ Environmental impact
/ Gas analyzers
/ Gaseous pollutants
/ Ghettos
/ GIS
/ Humidity
/ Local government
/ Meteorological parameters
/ Meteorology
/ meteorology parameters
/ Nitrogen dioxide
/ Outdoor air quality
/ Parameters
/ Particulate matter
/ Pollutants
/ Pollution control
/ pollution strategies
/ Population
/ Rainy season
/ Regression analysis
/ Relative humidity
/ Seasonal variation
/ Seasonal variations
/ Seasons
/ slum settlements
/ Slums
/ Sulfur dioxide
/ Temperature
/ VOCs
/ Volatile organic compounds
/ Wet season
2021
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Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria
by
Okafor, Angela Tochukwu
, Aborisade, Moses Akintayo
, Phoungthong, Khamphe
, Simon, John Nyandansobi
, Tope-Ajayi, Opeyemi Oluwaseun
, Techato, Kuaanan
, Okimiji, Oluwaseun Princess
in
Air pollution
/ Air pollution control
/ ambient air
/ Atmospheric pressure
/ Carbon dioxide
/ Cities
/ Coastal meteorology
/ Correlation
/ Data analysis
/ Dispersal
/ Dry season
/ Economic impact
/ Economics
/ Emissions
/ Environmental impact
/ Gas analyzers
/ Gaseous pollutants
/ Ghettos
/ GIS
/ Humidity
/ Local government
/ Meteorological parameters
/ Meteorology
/ meteorology parameters
/ Nitrogen dioxide
/ Outdoor air quality
/ Parameters
/ Particulate matter
/ Pollutants
/ Pollution control
/ pollution strategies
/ Population
/ Rainy season
/ Regression analysis
/ Relative humidity
/ Seasonal variation
/ Seasonal variations
/ Seasons
/ slum settlements
/ Slums
/ Sulfur dioxide
/ Temperature
/ VOCs
/ Volatile organic compounds
/ Wet season
2021
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Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria
Journal Article
Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria
2021
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Overview
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 PM2.5 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 SO2, NO2, CO2, and PM2.5 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 PM2.5 and temperature at the 1% level (0.957 **), and VOC and SO2 (0.907 *) at the 5% level; during the dry season, significant correlations were observed between NO2 and SO2 at the 1% level (0.9477 **), and PM2.5 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, CO2, and SO2. The spatial dispersal of air pollutants revealed a high Z score and a moderate p-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.
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