Influence of regional emissions on SO2 concentrations over Bhubaneswar, a capital city in eastern India downwind of the Indian SO2 hotspots

Mallik, Chinmay; Mahapatra, Parth Sarathi; Kumar, Prashant; Panda, Subhasmita; Boopathy, R.; Das, Trupti; Lal, Shyam

doi:10.1016/j.atmosenv.2019.04.006

Cited by 38 publications

(13 citation statements)

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“…These studies investigated that the increased level of NO 2 up to 70 μg/m3 caused the incidence of croup due to influenza virus (Chauhan and Johnston 2003 ; Coccia 2020 ; Hao et al 2019 ; Xu et al 2013 ). However, as per the proposed study, SO 2 had a negative correlation with COVID-19-infected cases, which may be the possible reason of low wind frequency and slow dispersion of SO 2 along west-south-west and north-west directional winds across the most COVID-19 affected states such as Delhi, Gujrat, Maharashtra (Cuesta-mosquera et al 2020 ; Cuhadaroglu and Demirci 1997 ; Mallik et al 2019 ; Sangeetha and Sivakumar 2019 ).…”

Section: Discussionmentioning

confidence: 58%

Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India

Sahoo

2021

Environ Sci Pollut Res

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Graphical abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease represents the causative agent with a potentially fatal risk which is having great global human health concern. Earlier studies suggested that air pollutants and meteorological factors were considered as the risk factors for acute respiratory infection, which carries harmful pathogens and affects the immunity. The study intended to explore the correlation between air pollutants, meteorological factors, and the daily reported infected cases caused by novel coronavirus in India. The daily positive infected cases, concentrations of air pollutants, and meteorological factors in 288 districts were collected from January 30, 2020, to April 23, 2020, in India. Spearman’s correlation and generalized additive model (GAM) were applied to investigate the correlations of four air pollutants (PM 2.5 , PM 10 , NO 2 , and SO 2 ) and eight meteorological factors (Temp, DTR, RH, AH, AP, RF, WS, and WD) with COVID-19-infected cases. The study indicated that a 10 μg/m 3 increase during (Lag0-14) in PM 2.5 , PM 10 , and NO 2 resulted in 2.21% (95%CI: 1.13 to 3.29), 2.67% (95% CI: 0.33 to 5.01), and 4.56 (95% CI: 2.22 to 6.90) increase in daily counts of Coronavirus Disease 2019 (COVID 19)-infected cases respectively. However, only 1 unit increase in meteorological factor levels in case of daily mean temperature and DTR during (Lag0-14) associated with 3.78% (95%CI: 1.81 to 5.75) and 1.82% (95% CI: -1.74 to 5.38) rise of COVID-19-infected cases respectively. In addition, SO 2 and relative humidity were negatively associated with COVID-19-infected cases at Lag0-14 with decrease of 7.23% (95% CI: -10.99 to -3.47) and 1.11% (95% CI: -3.45 to 1.23) for SO 2 and for relative humidity respectively. The study recommended that there are significant correlations between air pollutants and meteorological factors with COVID-19-infected cases, which substantially explain the effect of national lockdown and suggested positive implications for control and prevention of the spread of SARS-CoV-2 disease.

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Section: Discussionmentioning

confidence: 58%

Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India

Sahoo

2021

Environ Sci Pollut Res

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“…These studies investigated that the increased level of NO 2 up to 70 µg/m3 caused the incidence of croup due to influenza virus (Chauhan and Johnston, 2003;Coccia, 2020;Hao et al, 2019;Xu et al, 2013). However, as per the proposed study, SO 2 had a negative correlation with COVID-19 infected cases, which may be the possible reason of low wind frequency along WSW-NW Winds (Cuesta-mosquera et al, 2020;Cuhadaroglu and Demirci, 1997;Mallik et al, 2019;Sangeetha and Sivakumar, 2019).…”

mentioning

confidence: 89%

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

Sahoo

2020

Preprint

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SARS-CoV-2 (Coronavirus) disease represents the causative agent with a potentially fatal risk which is having great global human health concern. Earlier studies suggested that air pollutants and meteorological factors were considered as the risk factors for acute respiratory infection, which carries harmful pathogens and affects the immunity. The study intended to explore the correlation between air pollutants, meteorological factors and the daily reported infection cases caused by novel coronavirus in India. The daily positive infected cases, air pollution and meteorological factors in 288 districts were collected from January 30, 2020 to April 23, 2020 in India. Speraman’s correlation and generalised additive model were applied to investigate the correlations of four air pollutants (PM2.5, PM10, NO2 and SO2) and eight meteorological factors (Temp, DTR, RH, AH, AP, RF, WS and WD) with COVID-19 infected cases. The study indicated that a 10 µg/m3 increase during (Lag0-14) in PM2.5, PM10 and NO2 was resulted in 2.21% (95%CI: 1.13 to 3.29), 2.67% (95% CI: 0.33 to 5.01) and 4.56 (95% CI: 2.22 to 6.90) increase in daily counts of COVID 19 infected cases respectively. However, only 1 unit increase in meteorological factor levels in case of daily mean temperature and DTR during (Lag0-14) associated with 3.78% (95%CI: 1.81 to 5.75) and 1.82% (95% CI: -1.74 to 5.38) rise of COVID-19 infected cases respectively. In addition, SO2 and relative humidity were negatively associated with COVID-19 infected cases at Lag0-14 with decrease of 7.23% (95% CI: -10.99 to -3.47) and 1.11% (95% CI: -3.45 to 1.23) for SO2 and for relative humidity respectively. The study recommended that there is significant relationship between air pollutants and meteorological factors with COVID-19 infected cases, which substantially explain the effect of national lockdown and suggested positive implications for control and prevention of the spread of SARS-CoV-2 disease.

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“…Besides, PTFE filters were placed at the sampling inlet of each analyser to remove dust and larger particles. A more detailed description can be found in Mahapatra et al (2014aMahapatra et al ( , 2019, Mallik et al (2019).…”

Section: Measurement Techniquesmentioning

confidence: 99%

“…Apart from this, the study site is considered to be a strategic location as it is a gateway of most of the polluted air mass that reaches the BoB from the Indo Gangetic Plains (IGP), and the heavily industrialised Chotta Nagpur Plateau region as well as the western part of India (Mallik et al 2019 ). Therefore, in the current pandemic situation as various phases of lockdown were imposed over this region, it was indeed a unique scenario to understand the behaviour, source, and concentration of primary and secondary ambient air pollutants like CO, NO x , BC, and O 3 .…”

Section: Introductionmentioning

confidence: 99%

A study on variation of atmospheric pollutants over Bhubaneswar during imposition of nationwide lockdown in India for the COVID-19 pandemic

Panda

Mallik

Nath

et al. 2020

Air Qual Atmos Health

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The nationwide lockdown in India to flatten the pandemic COVID-19 curve has resulted in the reduction of anthropogenic emission sources to a great extent. This study reports change in air quality and its impact on the environment during the unique lockdown scenario at Bhubaneswar, a coastal smart city in east India. The urban air shows a remarkable reduction in the mean pollutant levels influenced by traffic emission viz. NO x (~67 %) and BC (~47 %) during lockdown over the pre-lockdown. Comparatively, a lower reduction of CO (~14 %) is attributed to the dominance of natural atmospheric chemical regulation and biogenic sources in addition to anthropogenic contributions. In addition to the lockdown, frequent rain events due to depression in the Bay of Bengal (BoB) also had a significant role in the reduction of the primary pollutants over the study site. An enhancement of secondary pollutant viz. O 3 (~3%) with a distinct diurnal pattern was observed during the first phase of lockdown over the pre-lockdown period. An anti-correlation between O 3 and NO x during pre-lockdown points to a higher O 3 production potential with decreasing NO x. While a reduction in the titration of O 3 due to suppression of fresh NO emissions led to accumulation of O 3 in the first phase of lockdown, inhibited photochemistry due to cloudy skies as well as reduction in precursors led to lower O 3 values during the later phases of lockdown.

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Influence of regional emissions on SO2 concentrations over Bhubaneswar, a capital city in eastern India downwind of the Indian SO2 hotspots

Cited by 38 publications

References 51 publications

Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India

Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India

Significance between Air pollutants, Meteorological Factors and COVID-19 Infections: Probable Evidences in India

A study on variation of atmospheric pollutants over Bhubaneswar during imposition of nationwide lockdown in India for the COVID-19 pandemic

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