Atmospheric Pollutants: Monitoring and Observation

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 975

Special Issue Editor


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Guest Editor
Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: atmospheric chemistry; reactive nitrogen; ammonia; isotopic analysis; haze; secondary aerosol formation
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Special Issue Information

Dear Colleagues,

This Special Issue aims to showcase the latest advancements in atmospheric pollutant monitoring techniques. It will provide a platform for researchers to share their innovative approaches, methodologies, and findings in monitoring atmospheric pollutants. The scope of the Special Issue includes, but is not limited to, the following topics:

  1. The development and application of advanced sampling methods for atmospheric pollutants
  2. Novel analytical techniques for pollutant identification and quantification
  3. Real-time monitoring systems for the continuous assessment of air quality
  4. The integration of remote sensing data with ground-based monitoring techniques
  5. Advances in data analysis and modeling for improved pollutant monitoring
  6. Evaluation and validation of monitoring techniques for accuracy and reliability

By focusing on advancements in monitoring techniques, this Special Issue aims to contribute to the development of more effective and efficient methods for assessing atmospheric pollutant levels. It will facilitate the exchange of knowledge and foster collaborations among researchers and practitioners in the field of atmospheric pollution monitoring.

Dr. Yunhua Chang
Guest Editor

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 quality
  • atmospheric aerosols
  • atmospheric pollutants

Published Papers (1 paper)

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Research

20 pages, 2846 KiB  
Article
Combining the Emission Preprocessor HERMES with the Chemical Transport Model TM5-MP
by Sarah-Lena Seemann, Nikos Daskalakis, Kun Qu and Mihalis Vrekoussis
Atmosphere 2024, 15(4), 469; https://doi.org/10.3390/atmos15040469 - 10 Apr 2024
Viewed by 767
Abstract
Emission inventories (EIs) are vital for air quality modeling. Specific research goals often require modifying EIs from diverse data sources, demanding significant code development. In this study, we utilized and further developed the High Elective Resolution Modeling Emission System version three for Global [...] Read more.
Emission inventories (EIs) are vital for air quality modeling. Specific research goals often require modifying EIs from diverse data sources, demanding significant code development. In this study, we utilized and further developed the High Elective Resolution Modeling Emission System version three for Global and Regional domains (HERMESv3_gr). This user-friendly processing system was adapted for generating EIs compatible with the Chemistry Transport Model Tracel Model 5 Massive Parallel (TM5-MP). The results indicate that HERMESv3_gr is capable of generating EIs with negligible biases (107 relative differences) for TM5-MP, showcasing its effectiveness. We applied HERMESv3_gr to integrate the EI Regional Emission inventory in Asia (REAS) into the global EI Community Emission Data System (CEDS). Comparison of model results using CEDS alone and the integrated EI against measurement data for various pollutants globally revealed small improvements for carbon monoxide (1%) ethane (1–2%), and nitrogen oxide (2%) and larger for propane (5–7%). Ozone in the northern hemisphere improved by about 2% while in the southern hemisphere improvements of 5% could be observed. Our findings highlight the importance of carefully considering the effects of EI integration for accurate air quality modeling. Full article
(This article belongs to the Special Issue Atmospheric Pollutants: Monitoring and Observation)
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