Interaction between Air Pollution and Urban Boundary Layer

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Aerosols".

Deadline for manuscript submissions: closed (16 May 2022) | Viewed by 7410

Special Issue Editors

Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
Interests: air pollution; particle chemistry; new particle formation; particle growth; boundary layer structure
Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
Interests: air pollution; source apportionment; mass spectrometry; aqueous-phase reactions; SOA formation

grade E-Mail Website
Guest Editor
Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
Interests: atmospheric aerosols; air pollution-climate interactions; aerosol dynamics; atmospheric new particle formation and growth

Special Issue Information

Dear Colleagues,

Air pollution, one of the major environmental challenges, is a global concern of the public, government and scientific community. Reported by WHO, air pollution kills an estimated seven million people every year all over the world. In order to mitigate air pollutants, extensive studies have been conducted to investigate the sources, formation pathways and evolution of air pollution world widely. On the other hand, atmospheric boundary layer is the lowest level of atmosphere, where humans live and have direct contacts with various kinds of emission sources (e.g. vehicles, industry, and biomass burning). Human-generated heat, building construction (urban planning), as well as other factors go into creating urban microclimates, leading to complex urban boundary layer structures. Stagnant meteorological conditions within an urban boundary layer could further promote the formation of severe air pollution through both chemical and physical processing of emitted gaseous precursors. Thus, understanding the interaction between air pollution and urban boundary layer is of great importance.

This special issue aims to present original research focused on air pollution and urban boundary layer. Relevant topics include, but are not limited to:

  1. Chemical and physical processes of air pollutants (including gaseous pollutants and aerosol particles) within urban boundary layer.
  2. Urban boundary layer structure and microclimate, and its further influence on air pollution.
  3. Feedbacks between air pollution and urban boundary layer.

Dr. Wei Du
Dr. Jian Zhao
Prof. Dr. Veli-Matti Kerminen
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

  • air pollution
  • urban boundary layer
  • gas pollutants
  • atmospheric aerosol
  • urban planning
  • microclimate

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

13 pages, 21216 KiB  
Article
Evolution, Transport Characteristics, and Potential Source Regions of PM2.5 and O3 Pollution in a Coastal City of China during 2015–2020
by Min Lv, Anyong Hu, Jun Chen and Bingcheng Wan
Atmosphere 2021, 12(10), 1282; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12101282 - 1 Oct 2021
Cited by 4 | Viewed by 1886
Abstract
The evolution, transport characteristics, and potential source regions of PM2.5 and O3 were investigated from 1 January 2015 to 31 December 2020 in the coastal city of Nantong. The annual mean PM2.5 concentration declined obviously over the entire study period, [...] Read more.
The evolution, transport characteristics, and potential source regions of PM2.5 and O3 were investigated from 1 January 2015 to 31 December 2020 in the coastal city of Nantong. The annual mean PM2.5 concentration declined obviously over the entire study period, and was 34.7 μg/m3 in 2020. O3 had a relatively smooth decreasing trend, but rebounded greatly during 2017 when the most frequent extreme high-temperature events occurred. Similar trends were observed for PM2.5 and O3 polluted hours. No PM2.5-O3 complex air pollution happened in 2019 and 2020, likely suggesting the preliminary results from the implementation of emission controls. Notable differences in transport pathways and frequencies were observed from the backward trajectory clusters in four seasons in Nantong. Clusters with the largest percentage of polluted PM2.5 and O3 trajectories were transported mostly over short distances rather than long distances. Analysis involving the potential source contribution function (PSCF) and concentration weighted trajectory (CWT) showed that PM2.5 polluted sources were from the adjacent western and northwestern provinces, whereas the influence of eastern marine sources was relatively small. O3 had a greatly different spatial distribution of polluted source regions from PM2.5, mostly covering the North China Plain, the Bohai Sea, and the Yellow Sea. Full article
(This article belongs to the Special Issue Interaction between Air Pollution and Urban Boundary Layer)
Show Figures

Figure 1

18 pages, 2515 KiB  
Article
Size-Segregated Atmospheric Humic-Like Substances (HULIS) in Shanghai: Abundance, Seasonal Variation, and Source Identification
by Tianming Sun, Rui Li, Ya Meng, Yu Han, Hanyun Cheng and Hongbo Fu
Atmosphere 2021, 12(5), 526; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12050526 - 21 Apr 2021
Cited by 3 | Viewed by 1976
Abstract
Humic-like substances (HULIS) are of great interest due to their optical and chemical characteristics. In this study, a total of 180 samples of atmospheric particulate matter (PM) of different sizes were collected from summer 2018 to spring 2019, in order to analyze the [...] Read more.
Humic-like substances (HULIS) are of great interest due to their optical and chemical characteristics. In this study, a total of 180 samples of atmospheric particulate matter (PM) of different sizes were collected from summer 2018 to spring 2019, in order to analyze the size distribution, to investigate the seasonal variation and then to identify the key sources of HULIS. The annual mean concentration of HULIS in the total suspended particulates reached 5.12 ± 1.42 μg/m3. The HULIS concentration was extremely higher in winter (8.35 ± 2.06 μg/m3) than in autumn (4.88 ± 0.95 μg/m3), in summer (3.62 ± 1.68 μg/m3) and in spring (3.36 ± 0.99 μg/m3). The average annual ratio of water-soluble organic carbon (WSOC) to OC and the ratio of HULIS to WSOC reached 0.546 ± 0.092 and 0.56 ± 0.06, respectively. Throughout the whole year, the size distributions of WSOC and HULIS-C were relatively smooth. The peaks of WSOC appeared at 1.8~3.2 μm and 0.56~1.0 μm, while the peaks of HULIS-C were located at 3.2~5.6 μm, 1.0~1.8 μm and 0.18~0.32 μm. The distribution of the HULIS particle mode was similar in spring, summer and autumn, while there was a lower proportion of the coarse mode and a higher proportion of the condensation mode in winter. By using the comprehensive analysis of principal component analysis (PCA), air mass backward trajectories (AMBTs) and fire point maps, key sources of WSOC and HULIS in Shanghai were identified as biomass combustion (48.42%), coal combustion (17.49%), secondary formation (16.07%) and vehicle exhaust (5.37%). The remaining part might be contributed by crustal dust sources, marine sources and/or other possible sources. This study provides new insight into the characteristics and size distribution of HULIS in Shanghai, thereby providing a practical base for further modeling. Full article
(This article belongs to the Special Issue Interaction between Air Pollution and Urban Boundary Layer)
Show Figures

Graphical abstract

17 pages, 5101 KiB  
Article
A Reliability Assessment of the NCEP/FNL Reanalysis Data in Depicting Key Meteorological Factors on Clean Days and Polluted Days in Beijing
by Chao Liu, Jianping Guo, Bihui Zhang, Hengde Zhang, Panbo Guan and Ran Xu
Atmosphere 2021, 12(4), 481; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12040481 - 11 Apr 2021
Cited by 5 | Viewed by 2213
Abstract
In this study, based on the National Centers for Environmental Prediction (NCEP) Final Analysis (FNL) data, the reliability and performances of their application on clean days and polluted days (based on the PM2.5 mass concentrations) in Beijing were assessed. Conventional meteorological factors [...] Read more.
In this study, based on the National Centers for Environmental Prediction (NCEP) Final Analysis (FNL) data, the reliability and performances of their application on clean days and polluted days (based on the PM2.5 mass concentrations) in Beijing were assessed. Conventional meteorological factors and diagnostic physical quantities from the NCEP/FNL data were compared with the L-band radar observations in Beijing in the autumns and winters of 2017–2019. The results indicate that the prediction reliability of the temperature was the best compared with those of the relative humidity and wind speed. It is worth noting that the relative humidity was lower and the near-surface wind speed was higher on polluted days from the NCEP/FNL data than from the observations. As far as diagnostic physical quantity is concerned, it was revealed that the temperature inversion intensity depicted by the NCEP/FNL data was significantly lower than that from the observations, especially on polluted days. For example, the difference in the temperature inversion intensity between the NCEP/FNL data and the observation ranged from −0.56 to −0.77 °C on polluted days. In addition, the difference in the wind shears between the NCEP/FNL reanalysis data and the observations increased to 0.40 m/s in the lower boundary layer on polluted days compared with that on clean days. Therefore, it is suggested that the underestimation of the relative humidity and temperature inversion intensity, and the overestimation of the near-surface wind speed should be seriously considered in simulating the air quality in the model, particularly on polluted days, which should be focused on more in future model developments. Full article
(This article belongs to the Special Issue Interaction between Air Pollution and Urban Boundary Layer)
Show Figures

Figure 1

Back to TopTop