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Cited by 48Atmospheric chemistry and aerosolsAtmospheric aerosols and cloudsAir Quality and Health Impacts

The DOI matches its Crossref record; 84 of the 85 references it cites were found in a registry or an index.

Seasonal characteristics of PM1, PM2.5, and PM10 over Varanasi during 2019–2020

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Abstract

Particulate matter (PM) concentrations and aerosol optical depth (AOD) are measured and correlated simultaneously using a high-volume sampler and a MICROTOPS-II Sunphotometer, respectively. The present work deals with the characteristics of particulate matter (PM 1 , PM 2.5 , and PM 10 ) over Varanasi, from April 2019 to March 2020. Daily variation, as well as seasonal variation, reveals the dominancy of fine-mode particles over the Varanasi region in the winter season and the dominancy of coarse-mode particles in the summer season, which was further confirmed by calculating the ratio between particulate matter (PM 1 /PM 10 and PM 2.5 /PM 10 ). This ratio was discovered to be lowest in the summer and highest in the winter. Annual mean concentrations of PM 1 , PM 2.5 , and PM 10 are found to be 93.91, 111.34, and 180.70 μgm −3 , respectively. The seasonal variation shows relatively a higher concentration of PM 1 , PM 2.5 , and PM 10 in the winter season, which may be due to stable meteorological conditions and increased biomass burning in winter. Diurnal and seasonal variations in AOD were also studied during this period. A large and small value of AOD represents the dominancy of fine particles over coarse particles. At 500 nm, maximum (1.17) and minimum (0.44) AODs were measured in December and August of 2019, respectively. There was a statistically significant correlation between PM particles (PM 1 , PM 2.5 , and PM 10 ) and AOD. Elemental analysis shows that fluorine and carbon are the major elements that were observed in selected samples during the post-monsoon and winter season using SEM-EDX analysis.

Overview

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Registry

Crossref · 10.3389/frsc.2022.909351

Cites

84 of 84 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 85 references

Research works printed but not linked: 3

  1. Pratap, “Pre-monsoon study of aerosol parameters and particulate matters over Varanasi for 2017,”, 1
  2. Singh, 2014, Characterization of atmospheric aerosol by SEM-EDX and Ion-chromatography techniques for eastern Indo-Gangetic plain location, Varanasi, India, Int. J. Adv. Earth Sci, 3, 41
  3. Teotia, 1994, Dental caries: a disorder of high fluoride and low dietary calcium interactions (30 years of personal research), Fluoride, 27, 59

Cited by

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Metadata

Authors
Chauhan, P. K., Kumar, A., Pratap, V., & Singh, A. K.
Affiliations
  • Banaras Hindu University (IN)
  • Kashi Naresh Government Post Graduate College (IN)
Corresponding author
Singh, Abhay Kumar
Venue
Frontiers in Sustainable Cities
Published
2022-08-02
Volume
4
ISSN
2624-9634 (ISSN-L)
OpenAlex
W4289519779
Cited by
45
References
85
Citations by year
2026: 8 · 2025: 18 · 2024: 12 · 2023: 6 · 2022: 1
FWCI
3.54
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Sustainable Cities (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
Keywords
particulate matter, PM1, PM2.5, PM10, aerosol optical depth, seasonal variation, diurnal variation, fine-mode particles, coarse particles, biomass burning, elemental composition, Varanasi

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CoChat. (2026). Citation check: Seasonal characteristics of PM1, PM2.5, and PM10 over Varanasi during 2019–2020. https://app.cochat.ai/papers/10.3389/frsc.2022.909351
The paper
Chauhan, P. K., Kumar, A., Pratap, V., & Singh, A. K. (2022). Seasonal characteristics of PM1, PM2.5, and PM10 over Varanasi during 2019–2020. Frontiers in Sustainable Cities. https://doi.org/10.3389/frsc.2022.909351

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.