Accessing and Analyzing Air Quality and Atmospheric Environment
Global air pollution continues to threaten public health to varying degrees and in varying forms, and air quality has become one of the largest environmental issues in modern times. There are many reports of threats to the safety of people's lives and property caused by harsh atmospheric environment and poor air quality, phenomena which have attracted global attention.
Aerosol and gaseous pollutants have fundamental impacts on the Earth's environment, as well as on human health and climate change. Predicting their high concentrations using numerical models is a challenge. Advances in atmospheric numerical models and increased computer power have enabled numerical weather prediction (NWP) and climate research to more effectively protect humans from adverse weather and air quality, as well as the impacts of climate change. Despite these advances, numerical models suffer from various errors related to numerical methods, resolution, physical parameterization, and input data. There is room to further improve predictability through the development of enhanced modeling and data assimilation techniques, operating with a variety of input data and higher resolution. Two-way coupling of the atmosphere with hydrological, oceanic, wave, dust and fire models also has great potential to achieve this goal.
Air quality and atmospheric environment affect all aspects of society. We need to pay attention to the atmospheric environment and monitor air quality. Air pollution monitoring, forecasting and mitigation should be a joint work, carried out with global partners. In light of the global, transcontinental and rapidly changing chemical and emission characteristics of the world's air quality, we invite the submission of research on air-quality monitoring, forecasting, observation and modeling of the atmospheric environment, air pollutants and their impact on human health, as well as the impact of observational and/or predictive models on atmospheric chemistry research.
Prof. Dr. Enrico Ferrero
Dr. Elvira Kovač-Andrić
- air-quality and atmospheric composition modeling
- atmospheric chemical observation and monitoring
- air-quality forecasting
- air-pollutant-related epidemiology and exposure studies
- climate impact on air-quality forecasting
- aerosol data assimilation and forecasting
- data assimilation with multi-observations
- estimation and optimization of emission sources
- development of atmospheric chemical models or air-quality models
- two-way coupling of atmospheric numerical models with hydrological, ocean, wave, dust and fire models aiming to improve the representation of the atmospheric processes. thermal internal boundary layer air pollution
|Journal Name||Impact Factor||CiteScore||Launched Year||First Decision (median)||APC|
|-||-||2023||15.0 days *||1000 CHF||Submit|
|3.110||3.7||2010||14.7 Days||2000 CHF||Submit|
|5.349||7.4||2009||19.7 Days||2500 CHF||Submit|
|3.889||5.0||2009||17.7 Days||2200 CHF||Submit|
|-||-||2021||16.8 Days||1000 CHF||Submit|
* Median value for all MDPI journals in the second half of 2022.
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