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Atmosphere
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High-Resolution Measurements of Atmospheric Pollutants, Pushing the Limit of Temporal...
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High-Resolution Measurements of Atmospheric Pollutants, Pushing the Limit of Temporal and Spatial Resolution

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (25 April 2022) | Viewed by 7903

Special Issue Editors

Dr. Yuan You

E-Mail Website
Guest Editor
Department of Physics University of Toronto, 60 St. George Street, Toronto, ON M5S 1A7, Canada
Interests: air pollution; urban greenhouse gas emission; Fourier transform infrared spectroscopy; trace gases monitoring; atmospheric aerosols; vehicular and oil and gas emissions; inverse dispersion modelling
Dr. John E. Saunders

E-Mail
Guest Editor
Department of Physics, University of Toronto, 60 St. George Street, Toronto, ON M5S 1A7, Canada
Interests: laser spectroscopy; wavelength modulation spectroscopy; stratospheric ballooning; instrument design; trace gas detection; greenhouse gas measurements; in situ vertical profiling

Special Issue Information

Dear Colleagues,

Our continuing emissions of atmospheric pollutants has led to emerging crises with global climate change and never before seen impacts to human health. Existing measurement networks and programs have significantly improved our understanding of emission, transport, and deposition of atmospheric pollutants in the past few decades. However, there are still large gaps between measurement results, emission inventories, and atmospheric models. Often this is due to a lack of high temporal and spatial resolution data. High-resolution data is essential for confining emission inventories and reanalysis products of models to more accurate values. Only then are we better able to understand the relationships between atmospheric pollutants, global climate change and the health impacts from human exposure to air pollutants.

Measurement methods include but are not limited to: ground-based in situ measurement stations and mobile platforms, aircraft and balloon measurements, and remote sensing. Temporal scales could range from short pollution episodes to seasonal and annual trends of short-lived and long-lived pollutants. Given a temporal scale, measurements of atmospheric pollutants could cover a variety of environments with different spatial scales, such as urban areas, industrial regions, regions with wildfire risk, regions with dense population and biased air pollution exposure, and remote areas. This special issue invites submissions of original research papers on the measurement of atmospheric pollutants, including but not limited to the following topics:

  • Long-term measurements of atmospheric pollutants
  • Atmospheric pollutants measurements on a regional or global scale
  • In situ and remote sensing observations of atmospheric pollutants (long-lived and short-lived)
  • Field-campaign measurements of atmospheric pollutants
  • Development of lower-cost sensors with reasonable accuracy
  • Air pollution meteorology and modelling
  • Air pollution emission control measures and policies

Dr. Yuan You
Dr. John E. Saunders
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • atmospheric pollutants
  • in situ measurements
  • remote sensing
  • meteorology
  • air pollutants temporal trends
  • emission control measures
  • emission inventories

Published Papers (2 papers)

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Research

18 pages, 5820 KiB  
Article
Chemical Composition and Source Apportionment of Winter Fog in Amritsar: An Urban City of North-Western India
by Mohammad Asif, Rekha Yadav, Aditi Sugha and Manpreet Singh Bhatti
Atmosphere 2022, 13(9), 1376; https://doi.org/10.3390/atmos13091376 - 28 Aug 2022
Cited by 1 | Viewed by 1831
Abstract
Winter fog is a complex issue affecting human health and is responsible for higher numbers of traffic accidents in North India, which is further aggravated due to atmospheric pollutants. An indigenous glass-plate fog collector was used to collect fog water from December 2020 [...] Read more.
Winter fog is a complex issue affecting human health and is responsible for higher numbers of traffic accidents in North India, which is further aggravated due to atmospheric pollutants. An indigenous glass-plate fog collector was used to collect fog water from December 2020 to February 2021. Thirty samples of fog water were collected from the rooftop of an academic building at Guru Nanak Dev University, Amritsar, in order to study the chemistry of fog water. The studied parameters were pH, electrical conductivity (EC), sodium (Na+), calcium (Ca2+), magnesium (Mg2+), potassium (K+) sulphate (SO42−), nitrate (NO3−), chloride (Cl−), aluminum (Al), lead (Pb) and zinc (Zn). The average values were as follows: pH (4.6–7.5), EC (135 µS/cm), SO42− (77.5 ppm), Cl− (9.9 ppm), NO3− (9.3 ppm), Ca2+ (8.1 ppm), Mg2+ (2.0 ppm), K+ (2.0 ppm), Na+ (1.6 ppm), Zn (218 ppb), Al (60.8 ppb) and Pb (8.8 ppb). Cation–anion balance was used to assess the data’s reliability. The enrichment factor (EF) was utilized to distinguish between crustal and anthropogenic sources. SO42−, NO3−, Cl− and K+ originated from anthropogenic sources, whereas Mg2+ and Na+ came from crustal sources. The molar ratio of sulphate to nitrate was 10.6, which indicates a greater contribution from the combustion of fossil fuels and stack emissions. Ionic species were subjected to principal component analysis (PCA) as a dimensionality reduction approach and to group species with comparable behavior. Three principal components (PC) that together accounted for 77.5 percent of the total variance were identified by PCA. Backward trajectory analysis of air masses was performed to determine their origin, and two major clusters explained 89 percent of the contribution of air masses, primarily from the north-east and north directions. To gain a comprehensive understanding of fog water, a global perspective on pH, EC and ionic species is considered. Full article
(This article belongs to the Special Issue High-Resolution Measurements of Atmospheric Pollutants, Pushing the Limit of Temporal and Spatial Resolution)
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17 pages, 5266 KiB  
Article
Air Quality Measurements in Kitchener, Ontario, Canada Using Multisensor Mini Monitoring Stations
by Wisam Mohammed, Nicole Shantz, Lucas Neil, Tom Townend, Adrian Adamescu and Hind A. Al-Abadleh
Atmosphere 2022, 13(1), 83; https://doi.org/10.3390/atmos13010083 - 5 Jan 2022
Cited by 3 | Viewed by 4915
Abstract
The Region of Waterloo is the third fastest growing region in Southern Ontario in Canada with a population of 619,000 as of 2019. However, only one air quality monitoring station, located in a city park in Kitchener, Ontario, is currently being used to [...] Read more.
The Region of Waterloo is the third fastest growing region in Southern Ontario in Canada with a population of 619,000 as of 2019. However, only one air quality monitoring station, located in a city park in Kitchener, Ontario, is currently being used to assess the air quality of the region. In September 2020, a network of AQMesh Multisensor Mini Monitoring Stations (pods) were installed near elementary schools in Kitchener located near different types of emission source. Data analysis using a custom-made long-distance scaling software showed that the levels of nitrogen oxides (NO and NO2), ground level ozone (O3), and fine particulate matter (PM2.5) were traffic related. These pollutants were used to calculate the Air Quality Health Index-Plus (AQHI+) at each location, highlighting the inability of the provincial air quality monitoring station to detect hotspot areas in the city. The case study presented here quantified the impact of the 2021 summer wildfires on the local air quality at a high time resolution (15-min). The findings in this article show that these multisensor pods are a viable alternative to expensive research-grade equipment. The results highlight the need for networks of local scale air quality measurements, particularly in fast-growing cities in Canada. Full article
(This article belongs to the Special Issue High-Resolution Measurements of Atmospheric Pollutants, Pushing the Limit of Temporal and Spatial Resolution)
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