Inter-annual variability and distribution of aerosols during winters and aerosol optical thickness over Northeastern Pakistan

Shahid, Muhammad Zeeshaan; Shahid, Imran; Zahid, Muhammad

doi:10.1007/s13762-020-02994-5

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…This might be due to the higher consumption of oxygen in combustion processes. Therefore, this deficiency of O 2 causes various health effects including muscle fatigue and accelerated heartbeat [32,33]. The non-significant differences between two seasons exist at selected sites regarding O 2 concentration…”

Section: Carbon Monoxide (Co)mentioning

confidence: 99%

Comparison of Ambient Air Quality among Industrial and Residential Areas of a Typical South Asian City

et al. 2022

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The rapid increase in population growth due to industrialization and urbanization has resulted in air quality deterioration in Pakistan. Consequently, a considerable increase has been seen in the types of sources of air pollutants. However, the air quality of the country has deteriorated in the absence of management capabilities against air quality. Evidence from numerous governmental organizations and international bodies has specified that the environment, health, and quality of life are at high risk due to air pollution. Although the government of Pakistan established the Pakistan Clean Air Program, along with continuous monitoring stations to manage the quality of ambient air, air quality values have not yet been achieved. The present investigations were made in the city of Faisalabad in selected locations. Sampling of a 24 h average was done for selected sites. The air quality parameters such as NO2, SO2, COx, O2, noise level, and suspended particulate matter (SPM) were measured at two locations, i.e., Khurrianwala and Liaqatabad in the Faisalabad District. The measured values of air quality parameters were compared with national environmental quality standards (NEQS). Air pollutants such as SPM, SO2, and noise levels were found to be significantly higher than the 24-h standards of NEQS, which poses harmful effects on the quality of air and health, whereas the O2 concentration was found to be lower than the normal values, and NO2 and COx values were normal. The SO2, CO2, noise level, SPM, and O2 values ranged from 418–652 and 423–661 µg/m3, 3.03–3.44 and 3.08–3.51 mg/m3, 68–73 and 69–75 dB, 555–667 and 581–682 µg/m3, and 19.5–20 and 19.5–20.3 % for summer and winter season, respectively, as compared to standard values (150 µg/m3, 10 mg/m3, 65 dB, 550 µg/m3 and 21%). After the complete analysis of the selected locations, it was concluded that the ambient air quality of this area is severely degraded due to industrial as well as other commercial activities. These significant variations in air quality parameters suggest that there is a need to check the air quality regularly to take appropriate measures for reducing ambient air pollutants, especially in industrial areas as well as commercial areas.

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Section: Carbon Monoxide (Co)mentioning

confidence: 99%

Comparison of Ambient Air Quality among Industrial and Residential Areas of a Typical South Asian City

et al. 2022

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“…Remote sensing data and reanalysis datasets are widely used to assess the spatio-temporal distribution of aerosols from local to global scales. Modeling studies of air pollutants are extensively used to identify atmospheric distributions, to quantify surface precursor emissions, and to evaluate local air quality [15][16][17][18][19][20][21][22]. Urban air pollution in ME countries, especially in the Kingdom of Saudi Arabia (KSA), Qatar and United Arabic Emirates (UAE) has become a severe problem in megacities.…”

Section: Introductionmentioning

confidence: 99%

WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East

Shahid

Chishtie²,

Bilal

et al. 2021

Remote Sensing

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Atmospheric aerosols and dust have become a challenge for urban air quality. The presented study quantified seasonal spatio-temporal variations of aerosols, tropospheric ozone, and dust over the Middle East (ME) for the year 2012 by using the HTAP emission inventory in the WRF-Chem model. Simulated gaseous pollutants, aerosols and dust were evaluated against satellite measurements and reanalysis datasets. Meteorological parameters, temperature, and wind vector were evaluated against MERRA2. The model showed high spatio-temporal variability in meteorological parameters during summer and low variability in winter. The correlation coefficients for all the parameters are estimated to be 0.92, 0.93, 0.98, and 0.89 for January, April, July, and October respectively, indicating that the WRF-Chem model reproduced results very well. Simulated monthly mean AOD values were maximum in July (1.0–1.5) and minimum in January (0.1–0.4) while April and October were in the range of 0.6–1.0 and 0.3–0.7 respectively. Simulated dust concentrations were high in April and July. The monthly average aerosol concentration was highest over Bahrain, Kuwait, Qatar, and the United Arab Emirates and Jeddah, Makkah. The contributions to urban air pollution were highest over Makkah city with more than 25% from anthropogenic sources.

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Impact of meteorological parameters on aerosol optical depth and particulate matter in Lahore

Ur Rehman,

Tariq,

ul Haq

et al. 2024

Acta Geophys.

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Inter-annual variability and distribution of aerosols during winters and aerosol optical thickness over Northeastern Pakistan

Cited by 6 publications

References 41 publications

Comparison of Ambient Air Quality among Industrial and Residential Areas of a Typical South Asian City

Comparison of Ambient Air Quality among Industrial and Residential Areas of a Typical South Asian City

WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East

Impact of meteorological parameters on aerosol optical depth and particulate matter in Lahore

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