Air Quality Control and Planning
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".
Deadline for manuscript submissions: closed (30 November 2019) | Viewed by 18006
Special Issue Editor
Interests: control systems; air quality management; air quality planning; nonlinear modelling; uncertainty analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
According to the World Health Organization (WHO), air pollution has been one of the most important risk factors for all ages in recent years. Moreover, recent trends show how the levels of some pollutants (i.e., particulate matter) are still increasing, or are slowly lowering in some parts of the world.
For this reason, the European Union asks regulatory agencies to define plans assessing population and ecosystem exposure, both in the short (days) and the long (year) term.
Due to the nonlinearity and complexity of air pollution production and accumulation phenomena, and the high number of exogenous variables that can affect it, the design of such plans requires the development and the application of Decision Support Systems (DSSs) to assess both the impact of emission reduction strategies on pollution indices and the costs of such emission reductions. In order to develop and apply this approach, a number of challenges and gaps have to be faced by the scientific community, ranging from the modelling of complex systems, to the definition and numerical solution of the control problem, and to the evaluation of the results and their uncertainties.
This Special Issue will include papers addressing all the scientific challenges related to air quality management and planning. Studies related to advances in air quality modelling, source-apportionment, air quality control, optimal control strategies selection, air pollution impacts and uncertainty evaluation on air quality control are welcome.
Dr. Claudio Carnevale
Guest Editor
Manuscript Submission Information
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Keywords
- Air pollution
- Air quality control
- Air quality planning
- Ozone
- Nitrogen Oxides
- Particulate Matter
- Nonlinear modelling
- Uncertainty analysis
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