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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Understanding transboundary air pollution network: Emissions, depositions and spatio-temporal distribution of pollution in European region

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Συγγραφέας
Halkos G., Tsilika K.
Ημερομηνία
2019
Γλώσσα
en
DOI
10.1016/j.resconrec.2019.02.014
Λέξη-κλειδί
Computer aided analysis
Deposition
Visualization
Heatmaps
Monitoring and evaluations
Source-receptor
Spatiotemporal distributions
Trans-boundary air pollutions
Trans-boundary pollution
Visualization modules
Weighted networks
Air pollution
atmospheric deposition
atmospheric pollution
emission inventory
pollutant source
pollution monitoring
spatial distribution
temporal distribution
transboundary pollution
air pollutant
article
Europe
human
human experiment
monitoring
responsibility
structure analysis
writing
Europe
Elsevier B.V.
Εμφάνιση Μεταδεδομένων
Επιτομή
The primary objective of this paper is the structural analysis of source-receptor air pollution problems in the EU region. Two views are provided for the analysis: an emission-driven view and a deposition-driven view. Different visualization modules are used to reproduce the global pollution network and identify the biggest sources and sinks of pollution. Visual modelling helps to understand the linkages and interconnections in the transboundary pollution network. Our interactive outputs give the options to bring out the crucial actions of the global source-receptor air pollution scheme and highlight the top emitters or receptors of pollution. Ranking of countries in decreasing order of pollution responsibility and/or vulnerability using graph metrics is a main result. Data sources are emissions-depositions (or source-receptor) tables of air pollutants, available online from the data repository of the European Monitoring and Evaluation Program (EMEP) of the Long-Range Transmission of Air Pollutants in Europe. In our computer-based visual analysis, we design custom visualizations by writing code. © 2019 Elsevier B.V.
URI
http://hdl.handle.net/11615/73835
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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