Advances in Mechanisms, Predictability and Prediction of Haze
A special issue of Atmosphere (ISSN 2073-4433).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 327
Special Issue Editors
Interests: aerosol optical properties; aerosol measurement techniques; visibility
Special Issues, Collections and Topics in MDPI journals
Interests: regional atmospheric environmental modeling; atmospheric oxidation mechanism; development of high-resolution emission inventory
Interests: air pollution prevention and circulation mechanism; numerical simulation of atmospheric chemistry; interaction between air pollution and weather-climate
Special Issue Information
Dear Colleagues,
With the rapid development of urbanization, air pollution has become one of the most severe environmental problems faced by the world at present; haze pollution has aroused widespread public concern because it can lead to reduced visibility and harm human health. Research on haze pollution involves outlining the physical and chemical properties of atmospheric aerosols, effects and feedback of climate change and meteorological conditions, numerical simulation based on physical and chemical mechanisms, etc. Clarifying the principle and generation/elimination mechanism of haze pollution is the fundamental prerequisite for haze weather forecasting and governance. Deepening the research on the mechanism and predictability of haze pollution will provide an important reference basis and scientific support for the government to formulate reasonable prevention and control strategies in advance.
In order to better summarize and present the research progress of haze pollution mechanisms, simulation, and predictability, thoroughly sort out and discuss relevant research results, and widely promote peer exchanges, a Special Issue on Advances in Mechanisms, Predictability and Prediction of Haze will be hosted to call for academic papers. Original research, systematic review, observational analysis, and model studies related to the theme of haze pollution are welcome. Example topics include but are not limited to:
- Principle and generation/elimination mechanism of haze events;
- The physical and chemical properties of atmospheric aerosols during the haze episodes;
- Effects and feedback of climate change and meteorological conditions on haze pollution;
- Haze predictability based on statistical models, numerical models, and other methods.
Dr. Cheng Wu
Dr. Yiming Liu
Prof. Dr. Jiaren Sun
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
- haze pollution
- aerosol
- physical and chemical mechanisms
- predictability
- numerical simulation
- emission
- climate change
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