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UID:pretalx-foss4g-it-2023-FCTRL7@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230612T171500
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DESCRIPTION:In late February 2022\, the invasion of Russia in the Ukrainian
  territory started. As is known\, air is one of the most affected componen
 ts of the environment during such exceptional circumstances. The changes i
 n the pattern of civilian and industrial activities may cause the variatio
 n of air quality in terms of different pollutants. Hence\, conducting prop
 er air quality assessment can be of great importance in the war-affected a
 reas. The pivotal objective of this research is to present an overview of 
 air quality monitoring and air pollution prediction carried out for Ukrain
 ian territory. Utilizing the Copernicus Sentinel-5P TROPOMI observations\,
  the emissions of ozone (O3)\, nitrogen dioxide (NO2)\, formaldehyde (HCHO
 )\, and carbon monoxide (CO) in Kiev\, Kharkiv\, Donetsk\, Kherson\, and L
 viv are monitored during 2022. The relevant records are compared to the sa
 me business-as-usual (BAU) periods in 2019 and 2021 to detect significant 
 changes. Visual interpretations supported by statistical analysis proved t
 hat the ongoing war has significant impacts on the concentration of pollut
 ants throughout Ukraine. Following this\, a hybrid machine learning model 
 is developed to predict the concentration of a well-known air quality indi
 cator called particulate matter 2.5 (PM2.5). The prediction results indica
 ted a reliable accuracy of the proposed methodology\, as well as its super
 iority over benchmark models. In short\, this research shows promising app
 lication of state-of-the-art technologies inducing remote sensing and arti
 ficial intelligence for solving air quality problems in during exceptional
  events.
DTSTAMP:20260516T222808Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Air Quality Monitoring and Prediction in Ukraine During War Crisis 
 Using Copernicus Data and Machine Learning - Marco Scaioni\, Mohammad Mehr
 abi\, Mattia Previtali
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/FCTRL7/
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