Special Issue "Contributions of Emission Inventory to Air Quality"

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

Deadline for manuscript submissions: 30 March 2023 | Viewed by 435

Special Issue Editors

Dr. Xin Bo
E-Mail Website
Guest Editor
1. Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
2. BUCT Institute for Carbon-Neutrality of Chinese Industries, Beijing 100029, China
Interests: emission inventory; air quality model; environmental health risks; carbon emission
Dr. Zhongjun Xu
E-Mail Website
Guest Editor
Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Interests: VOCs emission; VOCs treatment; atmospheric chemistry; air pollution

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to describe the recent advances made in the field of emission inventory, air quality modeling, environmental health risks, and carbon emissions. Emission inventory and air quality models play an important role in assessing air pollution and formulating control policies. So far, researchers have established emission inventories at different scales around the world and used air quality models to study the migration and transformation of air pollutants and their health effects on the population. Emission inventories include, but are not limited to, anthropogenic emission inventories, carbon emission inventories, urban emission inventories, and industry emission inventories. The latest applications of satellite data and emission inventories are also involved and considered. Air quality models are used for forecasting purposes and include mainstream models such as CALPUFF, CMAQ, and CAMx. For the study of environmental health risks, researchers should provide enough samples to prove the scientificity of their models.

Topics of interest for this Special Issue include but are not limited to:

  • Emission inventories (anthropogenic emission inventory, carbon emission inventory, urban emission inventory, and industry emission inventory);
  • Air quality models (CALPUFF, CMAQ, CAMx, etc.);
  • The applications of satellite data and emission inventories;
  • Environmental health risks.

Dr. Xin Bo
Dr. Zhongjun Xu
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 2000 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

  • emission inventory
  • air quality model
  • environmental health risks
  • satellite data and emission inventories
  • carbon emission

Published Papers (1 paper)

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Research

Article
Construction of Multipollutant Air Quality Health Index and Susceptibility Analysis Based on Mortality Risk in Beijing, China
Atmosphere 2022, 13(9), 1370; https://doi.org/10.3390/atmos13091370 - 26 Aug 2022
Viewed by 271
Abstract
Air pollution places a considerable disease burden on the public. Compared with the widely applied air quality index (AQI), the air quality health index (AQHI) provides a more comprehensive measure of multiple pollutants. In this study, AQHI was constructed using environmental data, meteorological [...] Read more.
Air pollution places a considerable disease burden on the public. Compared with the widely applied air quality index (AQI), the air quality health index (AQHI) provides a more comprehensive measure of multiple pollutants. In this study, AQHI was constructed using environmental data, meteorological data, and the daily mortality data of Beijing residents from 2018 to 2020. Factors increasing the susceptibility of the population to the health effects of air pollution were identified to aid the construction of a specific AQHI (S-AQHI) for susceptible populations. The findings indicated that older adults, women, and people with respiratory disease are more susceptible to the short-term health effects of air pollution. The relative deviation in the AQHI and S-AQHI for changes in daily mortality percentage of various specific populations ranged from only 1.4% to 10.3%, indicating the universality of the AQHI in its capacity to predict health risks. The Spearman coefficient of correlation between the AQHI and AQI was 0.78 (p < 0.01). Each increase in the interquartile range of the AQHI and AQI results in an increase of 1.894% and 1.029% in the total daily mortality, respectively, demonstrating the stronger capacity of the AQHI to predict daily mortality compared to the AQI. Full article
(This article belongs to the Special Issue Contributions of Emission Inventory to Air Quality)
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