A Study of Ambient Air Quality Status in Karachi, By Applying Air Quality Index (AQI)

Hashmi, Durdana Rais; Shareef, Akhtar; Begum, Razia

doi:10.52763/pjsir.phys.sci.61.2.2018.106.114

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…This work has access to air quality data from ten roadside monitoring stations in Hanoi, managed by the Hanoi Environmental Protection Agency (HEPA) (Nam et al, 2018). Table 1 lists the name and location of HEPA stations, assisted by Fig.…”

Section: Hourly Air Quality Measurements and Model Performance Statis...mentioning

confidence: 99%

Street-Scale Dispersion Modelling Framework of Road-Traffic Derived Air Pollution in Hanoi, Vietnam

Ngo

Bang³

et al. 2023

Preprint

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Section: Hourly Air Quality Measurements and Model Performance Statis...mentioning

confidence: 99%

Street-Scale Dispersion Modelling Framework of Road-Traffic Derived Air Pollution in Hanoi, Vietnam

Ngo

Bang³

et al. 2023

Preprint

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“…Like other South Asian countries, Pakistan is also facing the problem of AAP, especially in the big cities, including Karachi, Lahore, and Faisalabad. The air quality of these cities has become worse due to industrialization, high traffic, and high-level of burning of fossil fuel ( Alvi et al, 2018 ; Hashmi et al, 2018 ; Hamid et al, 2019 ). The high level of AAP is significantly impacting the psychological and physical wellbeing of people ( Mehmood et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Impact of ambient air pollution on outdoor employees’ performance: Mediating role of anxiety

et al. 2022

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This paper aims to examine the direct and indirect impact of ambient air pollution (AAP) on employees’ performance. This study has used cross sectional survey design to collect the data from the outdoor employees of the pharmaceutical industry of Pakistan. The data were collected in time lags from 299. Partial least squares- structural equation modeling (PLS-SEM) approach was applied to analyze the data. The results show that AAP has a significant negative impact on the employees’ performance, and anxiety partially mediates the association between AAP and employees’ performance. This study reveals that AAP brings anxiety among outdoor employees, which in turn decreases their working performance. The implications, limitations, and future research directions are presented in the last section of this study.

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“…Consequently, the developed countries started to monitor ambient air pollution a few decades back (Crippa et al, 2015), followed by the developing countries to address the apprehension regarding urban air pollution (Gulia et al 2020;Zhang et al 2020;Guttikunda et al 2019;Hashmi et al 2018;Jan et al 2017;Wu et al 2017;Chen et al 2007;Barletta et al 2002;Shams and Beg 2001). Many researchers investigated the correlations between meteorological factors and outdoor air pollutants across the globe (Kayes et al, 2019;Zhang et al, 2015;Karagiannidis et al, 2015;Jassim et al, 2018;Kalisa et al, 2018;He et al, 2017;Pearce et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variations of Lower Tropospheric Pollutants and Their Relationship With Meteorological Factors in Karachi, Pakistan

Ahmed

Shams

Ahmed

et al. 2022

AGJSR

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Purpose: Karachi is the third most populous city globally, inhabiting over 20 million people. Its air quality is hardly ever comprehended despite ever-increasing vehicular and industrial emissions. The present paper investigates the outdoor concentrations of 10 air pollutants, viz. NO, NO2, NOx, SO2, CO, O3, CH4, methane carbon, non-methane hydrocarbons, and total hydrocarbons at three sites of the city and their relationship with meteorological parameters. Method: All ten air pollutants were measured continuously for 24 hours at all three city sites by the Air Quality Monitoring Station, equipped with the Horiba AP-370 series, which has a built-in calibration solenoid valve for calibration simply by connecting the calibration gas. The meteorological parameters were measured simultaneously by the device installed outside the station. The data were then transferred to a computer for analysis. Results: The results demonstrate that these pollutants severely affected the city’s air quality. The annual mean concentrations of both NO2 and SO2 exceeded the WHO guidelines at some sites. The city experiences varied concentrations of major air pollutants because three fuels, viz. diesel, gasoline, and compressed natural gas operate the motor vehicles in this conurbation. The study also correlates the air pollutants with each other and with meteorological factors. All three nitrogen oxides are related to each other at all three sites, with SO2 at Defense Housing Authority, CO at North Nazimabad, and meteorological factors at Sohrab Goth and Defense Housing Authority. Conclusion: The higher air pollution in the city is due to the adoption of lenient vehicular emission standards. Stringent emission standards cannot be adopted because of the non-availability of low or zero sulfur fuel. Moreover, ineffective regulation of exiting standards also contributes to higher vehicular emissions in the city.

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A Study of Ambient Air Quality Status in Karachi, By Applying Air Quality Index (AQI)

Cited by 3 publications

References 5 publications

Street-Scale Dispersion Modelling Framework of Road-Traffic Derived Air Pollution in Hanoi, Vietnam

Street-Scale Dispersion Modelling Framework of Road-Traffic Derived Air Pollution in Hanoi, Vietnam

Impact of ambient air pollution on outdoor employees’ performance: Mediating role of anxiety

Spatio-Temporal Variations of Lower Tropospheric Pollutants and Their Relationship With Meteorological Factors in Karachi, Pakistan

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