Development in Atmospheric Dispersion Modelling

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: 25 November 2024 | Viewed by 1612

Special Issue Editor


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Guest Editor
Sustainability Engineering Laboratory (SEL), Department of Mechanical Engineering, Aristotle University of Thessaloniki, GR-541 24 Thessaloniki, Greece
Interests: wind flow field; dispersion of airborne materials
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Special Issue Information

Dear Colleagues,

It is well known that atmospheric dispersion concerns the movement of air pollutants in the ambient atmosphere. Its study is vital for a multitude of reasons, including human health, which is the most valuable asset in the world. Furthermore, the study of atmospheric dispersion modelling has advanced its capabilities by using, for example, state-of-the-art numerical codes and high-performance computers. In the literature on this subject, numerical simulations are performed either for forward problems (by knowing the source(s)) or inverse problems (when source(s) is(are) unknown). This Special Issue seeks state-of-the-art publications on atmospheric dispersion modelling, and studies on both forward and inverse simulations are welcome. In addition, all numerical methodologies are accepted. Finally, theoretical works that aim to improve atmospheric dispersion modelling are welcome. The ultimate objective of the Special Issue is to cover any gaps that exist in the literature concerning atmospheric dispersion modelling.

Dr. George Efthimiou
Guest Editor

Manuscript Submission Information

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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 pollution
  • modelling
  • human health
  • forward simulation
  • inverse simulation

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Published Papers (2 papers)

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Research

9 pages, 1655 KiB  
Article
CO2 Footprint of Kiwi Fruits Deduced from Field Measurements and Cultivation Energy Data
by Zoi-Panagiota Kryona, Georgios-Archimidis Tsalidis, Glykeria Loupa and Spyridon Rapsomanikis
Atmosphere 2024, 15(11), 1355; https://doi.org/10.3390/atmos15111355 - 11 Nov 2024
Viewed by 435
Abstract
The unequivocal understanding of the planetary-global climate change has rendered the apportionment of sources and sinks of greenhouse gases in the terrestrial domain, an urgent priority. In the present study, the micrometeorological method of “dynamic gradient fluxes” coupled with the Monin–Obukhov similarity theory, [...] Read more.
The unequivocal understanding of the planetary-global climate change has rendered the apportionment of sources and sinks of greenhouse gases in the terrestrial domain, an urgent priority. In the present study, the micrometeorological method of “dynamic gradient fluxes” coupled with the Monin–Obukhov similarity theory, was utilised for the determination of net ecosystem exchange of carbon dioxide (CO2) from a kiwi plantation. This annual net exchange, in conjunction with the energy and fertiliser equivalent CO2 used, established the CO2 footprint of the produce. For the year 2023, the CO2 Net Ecosystem Exchange (NEE) is −16.20 tonnes per hectare per year (CO2 uptake by the plantation). The cultivation processes used throughout the year consumed +2.96 tonnes per hectare per year, and after deduction of this value from the NEE, the result is in a net CO2 sink for the kiwi plantation of −13.24 tonnes per hectare per year. It is hence obvious that, under these conditions, the kiwi plantations in Greece can be net CO2 sinks. This result is of increasing importance since the country is the fourth largest producer of kiwi globally, with production increasing in later years. Full article
(This article belongs to the Special Issue Development in Atmospheric Dispersion Modelling)
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21 pages, 21587 KiB  
Article
SAPERI: An Emergency Modeling Chain for Simulating Accidental Releases of Pollutants into the Atmosphere
by Bianca Tenti, Massimiliano Romana, Giuseppe Carlino, Rossella Prandi and Enrico Ferrero
Atmosphere 2024, 15(9), 1095; https://doi.org/10.3390/atmos15091095 - 9 Sep 2024
Viewed by 568
Abstract
Timely forecast of atmospheric pollutants fallout due to accidental fires can provide decision-makers with useful information for effective emergency response, for planning environmental monitoring and for conveying essential alerts to the population to minimize health risks. The SAPERI project (Accelerated simulation of accidental [...] Read more.
Timely forecast of atmospheric pollutants fallout due to accidental fires can provide decision-makers with useful information for effective emergency response, for planning environmental monitoring and for conveying essential alerts to the population to minimize health risks. The SAPERI project (Accelerated simulation of accidental releases in the atmosphere on heterogeneous platforms—from its Italian initials) implements a modeling chain to quickly supply evidence about the dispersion of pollutants accidentally released in the atmosphere, even in the early stages of the emergency when full knowledge of the incident details is missing. The SAPERI modeling chain relies on SPRAY-WEB, a Lagrangian particle dispersion model openly shared for research purposes, parallelized on a GPU to take advantage of local or cloud computing resources and interfaced with open meteorological forecasts made available by the Meteo Italian SupercompuTing PoRtAL (MISTRAL) consortium over Italy. The operational model provides a quantitative and qualitative estimate of the impact of the emergency event by means of a maximum ground level concentration and a footprint map. In this work, the SAPERI modeling chain is tested in a real case event that occurred in Beinasco (Torino, Italy) in December 2021, mimicking its use with limited or missing local input data as occurs when an alert message is first issued. An evaluation of the meteorology forecast is carried out by comparing the wind and temperature fields obtained from MISTRAL with observations from weather stations. The concentrations obtained from the dispersion model are then compared with the observations at three air quality monitoring stations impacted by the event. Full article
(This article belongs to the Special Issue Development in Atmospheric Dispersion Modelling)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Tentative title: Assessing the Effect of Maritime Emissions on the Air Quality of A Mediterranean Port
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