Seasonal Trends of PM2.5 and PM10 in Ambient Air and Their Correlation in Ambient Air of Lucknow City, India

Pandey, Prabha; Khan, Altaf; Verma, Ambrish Kumar; Singh, Kamla; Mathur, Neeraj; Kisku, Ganesh Chandra; Barman, S. C.

doi:10.1007/s00128-011-0466-x

Cited by 71 publications

(19 citation statements)

References 15 publications

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“…The poor road and traffic system, use of biomass as a domestic fuel, practice of crop burning, and upliftment of soil and dust (resuspended) may be responsible for the high load of PM at the present study site. The concentration of PM at the present study site is lower than that found in Kanpur, Delhi, Lucknow, Udaipur, and Punjab . The characteristics of these cities are similar to those of the present study site.…”

Section: Resultssupporting

confidence: 70%

Assessment of Fractionated Aerosols at a Semiarid Region over the Indo‐Gangetic Basin

Singh¹,

Gupta²,

Jangid³

et al. 2019

CLEAN Soil Air Water

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The present study examines the mass concentration of particulate matter (PM) of different sizes between January and December 2015 at Agra, a semiarid region in the Indo‐Gangetic basin. The mean mass concentrations of PM10 and PM2.5 are 146.9 and 54.8 μg m−3, respectively. The observed PM2.5 and PM10 concentrations are considerably higher than standard values set by the World Health Organization, United States Environmental Protection Agency, and National Ambient Air Quality Standard (India). Higher concentrations of PM10 and PM2.5 are observed in November and January, respectively. The highest and lowest concentrations of PM10 and PM2.5 are measured in winter and monsoon seasons, respectively. The PM2.5/PM10 mean mass concentration ratio is 0.44, indicating the dominance of coarse particles. The daily average air quality index is 107.7 for PM2.5 and 132.8 for PM10. The exceedance factor (EF) for PM10 is >1.5, indicating a critical level of PM10, whereas the EF for PM2.5 is <1.5 indicating a high level of pollution load. The trajectory analysis showed the effect of long‐range‐transported particles on this region.

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Section: Resultssupporting

confidence: 70%

Assessment of Fractionated Aerosols at a Semiarid Region over the Indo‐Gangetic Basin

Singh¹,

Gupta²,

Jangid³

et al. 2019

CLEAN Soil Air Water

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“…PM 10 is higher in May (220 ± 73 mg m À3 ) due to increased dust concentration and follows the columnar AOD trend (Tiwari et al, 2013a), while it decreases significantly in June and July (120 ± 44 mg m À3 ) due to rainy washout. The PM 10 levels indicate that Varanasi is one of the heavily aerosol laden sites in India with concentrations comparable to other polluted industrial and urban centres over IGP (Sharma and Maloo, 2005;Chelani et al, 2010;Pipal et al, 2011;Dey et al, 2012;Pandey et al, 2012;Guttikunda, and Calori, 2013;Tiwari et al, 2009Tiwari et al, , 2013bTiwari et al, , 2014a. Fig.…”

Section: Temporal Variation Of Pm 10 and Aerosol Componentsmentioning

confidence: 92%

Aerosol chemical characterization and role of carbonaceous aerosol on radiative effect over Varanasi in central Indo-Gangetic Plain

Tiwari

Dumka

Kaskaoutis

et al. 2016

Atmospheric Environment

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“…Both particulates vary in space and time, subject to the same weather conditions, providing a valuable determinant of horizontal correlation [29], [30]. Vertical correlations between PM 2.5 and PM 10 concentrations were calibrated in terms of the observed data.…”

Section: Methodsmentioning

confidence: 99%

Estimation of Citywide Air Pollution in Beijing

Wang

Liu

et al. 2013

PLoS ONE

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There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents’ perceptions of air quality. This study estimates Beijing’s daily area PM2.5 mass concentration by means of a novel technique SPA (Single Point Areal Estimation) that uses data from the single PM2.5 observation station of the U.S Embassy and the 18 PM10 observation stations of the Beijing Municipal Environmental Protection Bureau. The proposed technique accounts for empirical relationships between different types of observations, and generates best linear unbiased pollution estimates (in a statistical sense). The technique extends the daily PM2.5 mass concentrations obtained at a single station (U.S. Embassy) to a citywide scale using physical relations between pollutant concentrations at the embassy PM2.5 monitoring station and at the 18 official PM10 stations that are evenly distributed across the city. Insight about the technique’s spatial estimation accuracy (uncertainty) is gained by means of theoretical considerations and numerical validations involving real data. The technique was used to study citywide PM2.5 pollution during the 423-day period of interest (May 10, 2010 to December 6, 2011). Finally, a freely downloadable software library is provided that performs all relevant calculations of pollution estimation.

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Seasonal Trends of PM2.5 and PM10 in Ambient Air and Their Correlation in Ambient Air of Lucknow City, India

Cited by 71 publications

References 15 publications

Assessment of Fractionated Aerosols at a Semiarid Region over the Indo‐Gangetic Basin

Assessment of Fractionated Aerosols at a Semiarid Region over the Indo‐Gangetic Basin

Aerosol chemical characterization and role of carbonaceous aerosol on radiative effect over Varanasi in central Indo-Gangetic Plain

Estimation of Citywide Air Pollution in Beijing

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