Short-Term Association between Black Carbon Exposure and Cardiovascular Diseases in Pakistan’s Largest Megacity

Malashock, Daniel; Khwaja, Haider A.; Fatmi, Zafar; Siddique, Azhar; Lu, Yi; Lin, Shao; Carpenter, David O.

doi:10.3390/atmos9110420

Cited by 10 publications

(2 citation statements)

References 36 publications

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“…In addition, considering that meteorological elements are closely associated with air pollution (Yen et al, 2013) the city level data of weather consisting of wind speed (300 and 1,200 Knot), rain (millimeter per hour), temperature (degree Celsius), and humidity (300 UTC and 1,200 UTC) (Bao and Zhang, 2020) was obtained from Pakistan Meteorological Department for the analysis (Table 1). (Malashock et al, 2018).…”

Section: Datamentioning

confidence: 99%

Preliminary Assessment of Air During COVID-19 Lockdown: An Unintended Benefit to Environment

Pervaiz

Javid

Khan

et al. 2020

Environ. Nat. Resour. J.

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The death rate of people is increasing globally during the current outbreak of coronavirus. To combat with COVID-19 havoc, the world has adopted lockdown policies, including Pakistan. Ironically, the invisible virus is suffocating humans at a fast rate but on the other side, there is a visible monster in the world gobbling up human health, i.e., air pollution. Therefore, the main rationale of the present research is to visualize the air quality during the 'Lockdown' period in Lahore, Pakistan by mapping via online tools and techniques using a geospatial system. According to the present findings, the concentrations of air pollutants, such as particulate matters (PM10 and PM2.5), nitrogen oxides as NO and NO2, and sulphur dioxide, are below the maximum permissible levels of the Punjab Environmental Quality standards (PEQs), although ozone exceeds its PEQs. So in light of the results, once this COVID-19 crisis is over, the government should speed up measures to lessen air pollution to achieve targets of sustainable development goals (SDGs). Moreover, the present results of air assessment during COVID-19 would serve as a useful reminder for the government of Punjab to cut down air emission levels after the pandemic.

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Section: Datamentioning

confidence: 99%

Preliminary Assessment of Air During COVID-19 Lockdown: An Unintended Benefit to Environment

Pervaiz

Javid

Khan

et al. 2020

Environ. Nat. Resour. J.

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show abstract

“…The emission of PM is influenced by several meteorological and climatology factors such as temperature, relative humidity, rain scavenging potential, radiation, dispersive conditions against re-circulation of air masses, and gaseous formation, dispersion, and transportation [6]. Besides, the rapid growth in the industrial sector causes the air pollutant to unstoppable emitted into the atmosphere layer and it becomes hard to monitor [7]. In 2015, PM10 and PM2.5 were top five leading towards mortality risk which contributes up to 7.6% of death cases worldwide [8].…”

Section: Introductionmentioning

confidence: 99%

Three-Hour-Ahead of Multiple Linear Regression (MLR) Models for Particulate Matter (PM10) Forecasting

Mansor¹,

Abdullah²,

Dom³

et al. 2021

IJDNE

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The increase of air pollutants emission through anthropogenic activities and natural phenomena in the atmosphere can give an adverse impact on human health especially to some groups of people such as children, the elderly, and people that have cardiovascular problems. Multiple Linear Regression (MLR) model establishments for the particulate matter (PM10) forecasting can be useful, as it provides early warning information to the local authorities and the communities. We aim to develop MLR models for PM10 forecasting in Peninsular Malaysia, specifically in the southern part. In this study, the hourly data of PM10, meteorological factors, and gaseous pollutants from the year 2009-2011 had been used. As a result, the next first hour of the MLR prediction model, PM10,t+1 has been selected as the best-fitted model as compared to the second and third prediction hour models, PM10,t+2, and PM10,t+3, respectively. The PM10,t+1 model was explained 61.4% (R2=0.614) variance in the data which is higher compared to model PM10,t+2 and PM10,t+3 with 42.3% (R2=0.423) and 34.7% (R2=0.347), respectively. Thus, the validation of PM10, t+1 model also has a high accuracy value of R2 (55.1%) as compared to the other two models. We conclude that the development of MLR models is adequate for PM10 forecasting in the industrial area.

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State of gaseous air pollutants and resulting health effects in Karachi, Pakistan

Moyebi

Sannoh

Fatmi

et al. 2023

Environ Monit Assess

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Short-Term Association between Black Carbon Exposure and Cardiovascular Diseases in Pakistan’s Largest Megacity

Cited by 10 publications

References 36 publications

Preliminary Assessment of Air During COVID-19 Lockdown: An Unintended Benefit to Environment

Preliminary Assessment of Air During COVID-19 Lockdown: An Unintended Benefit to Environment

Three-Hour-Ahead of Multiple Linear Regression (MLR) Models for Particulate Matter (PM10) Forecasting

State of gaseous air pollutants and resulting health effects in Karachi, Pakistan

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