Mapping of Traffic-Related Air Pollution Using GIS Techniques in Ijebu-Ode, Nigeria

Adedeji, Oludare H.; Oluwafunmilayo, Olasumbo; Oluwaseun, Tope-Ajayi Opeyemi

doi:10.22146/ijg.12488

Cited by 13 publications

(16 citation statements)

References 28 publications

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“…The finding reveals that the AQI for CO in Kaduna Metropolis ranges from good to hazardous, this agree with the findings of Saniei et al (2016) on Air quality classifica-tion and its temporal trend in Tehran, Iran, and Attah (2015). The finding disagrees with the submission of Chizoruo et al (2017) on the ambient air quality assessment of Orlu, Southeastern, Nigeria, and Adedeji et al (2016) whose finding shows only unhealthy and very unhealthy AQI. The result reveals that 21.21% of the sample sites air quality base on USEPA and WHO standard are good, in as the NESREA standard shows that 33.33% are good, the good sites are fairly distributed in both the north and southern part of the study area (Table 2).…”

Section: Raining Season Aqicontrasting

confidence: 91%

“…This result disagrees with the submission of Attah (2015) who reported that the AQI of SO 2 is good in all the traffic sites in Kaduna metropolis, and also the submission of Chizoruo et al (2017) who reported the AQI of SO 2 to be only very unhealthy and hazardous. However, agrees with the findings of Adedeji et al (2016). The finding equally reveals that 27.27% of the sites AQI is good base on USEPA standard and NESREA standard shows an increase 36.36% of the locations.…”

Section: Sosupporting

confidence: 90%

“…The findings from Figures 4 and 5 reveals that the AQI for SO2 in Kaduna Metropolis ranges from good to hazardous, this result disagree with the submission of Attah (2015) who reported that the AQI of SO2 is good in all the traffic sites in Kaduna metropolis, and also the submission of Chizoruo et al (2017) who reported the AQI of SO2 to be only very unhealthy and hazardous. However, it agrees with the findings of Adedeji et al (2016). The findings further reveal that 24.24% of the sites AQI is good base on both USEPA and NESREA standard, it equally shows that the good AQI is fairly well distributed in both the northern and southern part of the metropolis.…”

Section: Raining Season Aqisupporting

confidence: 89%

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Apprising the local and global implication of ambient air Quality Index of Kaduna Metropolis, Nigeria

Daful¹,

Adewuyi²,

Dadan-Garba³

et al. 2020

Zb Depart geogr, turizam i hotel

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This study apprises the local and global implication of ambient air quality index of Kaduna Metropolis, Nigeria. With the point of investigating the spatial and transient dissemination of the Air Quality Index (AQI) of Carbon monoxide (CO), Sulfur dioxide (SO 2), and Particulate Matter (PM 10) and their suggestions on human wellbeing, in view of neighborhood and global measures. Data were collected during the raining season and dry harmattan weather. From traffic, Industrial, commercial and residential areas, utilizing validated portable pollutant monitors (MSA Altair 5x Gas Detector a) to collect data on the concentration of air pollutants (CO and SO 2) and (CW-HAT200 Particulate Counter) for the concentration of particulate matters (PM 10). Equal allocation stratify sampling and purposive sampling were utilized for the selection of sample points. The data were analyzed in line with USEPA Air Quality Index calculation approach and using descriptive statistics. The findings reveal that the AQI of Kaduna Metropolis ranges from good to hazardous, CO has 57.57% and 24.24% of the sample sites AQI ranging from unhealthy to hazardous based on WHO/USEPA and NESREA standards respectively. Equally SO 2 has about 91%, 34.23%, 42.42% of the sites AQI ranging from unhealthy to hazardous base on WHO, USEPA and NESREA standards respectively. PM 10 has 75.76% and 18.18 of the sites AQI as hazardous base on WHO and USEPA standards, whereas none of the sites AQI is hazardous base on the NESREA standard. Further analysis shows that the northern part of the metropolis has more sites with unhealth AQI than the southern part of the metropolis. Also, the traffic land use has more of its sites AQI ranging from unhealthy to Sensitive group to hazardous. In conclusion this study provides empirical data on the AQI of Kaduna metropolis which ranges from good to hazardous. Thus, the need for the enforcement agencies to strictly enforce the guide lines regulating ambient pollution in the study area.

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Section: Raining Season Aqicontrasting

confidence: 91%

Section: Sosupporting

confidence: 90%

Section: Raining Season Aqisupporting

confidence: 89%

See 1 more Smart Citation

Apprising the local and global implication of ambient air Quality Index of Kaduna Metropolis, Nigeria

Daful¹,

Adewuyi²,

Dadan-Garba³

et al. 2020

Zb Depart geogr, turizam i hotel

View full text Add to dashboard Cite

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“…Furthermore, the spatial air pollutants mapping clearly can provide significant contribution to mark dispersion of air borne pollutants. (Adedeji et al 2016).…”

Section: Discussionmentioning

confidence: 99%

<strong>COVID 19 Related Social Distancing Effects on Carbon Monoxide Levels in a Populated </strong><strong>Southeast Asia City</strong>

Adwibowo¹

2020

Preprint

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The social distancing as a response to COVID 19 pandemic has led to the exceptional reductions of daily routine people activities and vehicle uses mainly in city. This same situation was also experienced by several busy, large, and populous cities in Southeast Asia (SA) countries. Correspondingly, this study aimed to test the hypothesis that the social distancing implementation period has increased the air quality in the term of carbon monoxide (CO) emission reduction as drawn from Jakarta city as an example of the one of populated cities in SA region. The CO was measured in parts per billions (ppb) and monitored on the daily basis employing remote sensor platform. The monitor periods were started from January, February, March, and April 2020 with 10 measurement days for each month. The social distancing was implemented from mid of March to the recent April. The CO measurement data were statistically tested to justify the significant effects of social distancing on the CO levels. Based on the CO data analysis, the order of CO mean by months is February > January > March > April. The CO levels for January, February, March, and April were 87.46 ppb (95%CI: 83.54-91.37), 88.20 ppb (95%CI: 81.65-94.74), 86.38 (95%CI: 81.06-91.69), and 78.68 (95%CI: 74.03-83.32) respectively. This study also find significant difference (p<0.05) of CO levels especially in April when social distancing has been implemented. Hence, these findings illustrate the potential air pollutant reduction gained from implementing social distancing as can be seen in April.

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“…Air pollution is one of the main contributors to environmental (global warming, transboundary transport of smoke, acid rain, ozone layer depletion) and health (breathing and cardiovascular disorders, exacerbation of asthma, impaired lung capacity and premature death) [6][7][8] issues. Given the adverse environmental and health effects of air pollution, there is a need for assessment and continuous monitoring of air quality for environmental sustainability.…”

Section: Introductionmentioning

confidence: 99%

Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria

et al. 2021

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The focus of this study was to portray the spatial pattern of air quality across seasons in the eight sampled farm settlements using air quality indexes and assess the clusters of monitored air pollutants. The concentrations of air pollutants were determined using in-situ portable gas detectors and particulate counter. The AQI for each criteria pollutants (CO, O3, TSP, PM10, SO2, and PM2.5) was calculated using AQI formulae of the United States Environmental Protection Agency and mapped using the Inverse distance weighting (IDW) interpolation method in the Geographic information systems (GIS) environment. Principal component analysis (PCA) was used to group the parameters and estimate the interrelationships between the loadings of the parameters in each component. The AQI ranges of pollutants which deviated from the acceptable good status are CO (71.98 – 238 and 88.85 – 220.93), NO2 (10.14 – 107.07 and 10.84 – 72.88) and PM2.5 (12.90 – 70.85 and 12.56 – 54.02) for the dry and wet seasons, respectively. There were five and four PCs with eigenvalues > 1, accounting for 69.75% and 61.73% of the total variance during the wet and dry season, respectively. The parameters in each component are as follows; PC1 - TSP, PM10, PM2.5, Bacteria and fungi; PC2 - CO and Temperature; PC3 - relative humidity and O3; PC4 - CO2; PC5 - NO2 and SO2 for the wet season and PC1 - TSP, PM10, PM2.5, Bacteria and fungi; PC2 - NH3 and NO2; PC3 - CO2 and O3; PC4 - Temperature and relative humidity during the dry season. Biomass burning, engine exhausts and fine-particulate related activities are sources of air pollution and such may pose negative implication to human health and environment. Therefore, the use of alternative biomass disposal, regular servicing of processing engines and the wearing of protective wears against dust are recommended.

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Mapping of Traffic-Related Air Pollution Using GIS Techniques in Ijebu-Ode, Nigeria

Cited by 13 publications

References 28 publications

Apprising the local and global implication of ambient air Quality Index of Kaduna Metropolis, Nigeria

Apprising the local and global implication of ambient air Quality Index of Kaduna Metropolis, Nigeria

<strong>COVID 19 Related Social Distancing Effects on Carbon Monoxide Levels in a Populated </strong><strong>Southeast Asia City</strong>

Air Quality Indexing, Mapping and Principal Components Analysis of Ambient Air Pollutants around Farm Settlements across Ogun State, Nigeria

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