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Impact of climate changes on pollution levels in Denmark

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  • Zlatev, Zahari
  • Moseholm, Lars

Abstract

The impact of climate changes on the pollution levels in Denmark is the major topic of this paper. Variations of the Danish air pollution levels that are caused by climatic changes are studied together with variations caused by other factors (emissions, inter-annual variability of meteorological conditions, etc.). The Unified Danish Eulerian Model (UNI-DEM) was run on a fine, 10km×10km, grid over a space domain covering all of Europe to minimize the influence of the boundary conditions on the Danish pollution levels. This study is based on four categories of scenarios: (i) traditional scenarios, (ii) climatic scenarios, (iii) scenarios with variations of the human-made (anthropogenic) emissions and (iv) scenarios in which the biogenic emissions were varied. The total number of applied scenarios was 14, and a time-period of 16 years was used. The results show clearly that although the concentrations of the major pollutants do not depend too much on the climatic changes, some quantities, in particular quantities related to high ozone levels, might be increased significantly as a result of the warming trends in the future climate. The reason for this phenomenon is explained.

Suggested Citation

  • Zlatev, Zahari & Moseholm, Lars, 2008. "Impact of climate changes on pollution levels in Denmark," Ecological Modelling, Elsevier, vol. 217(3), pages 305-319.
  • Handle: RePEc:eee:ecomod:v:217:y:2008:i:3:p:305-319
    DOI: 10.1016/j.ecolmodel.2008.06.030
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    References listed on IDEAS

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    1. Alexandrov, V.N. & Owczarz, W. & Thomson, P.G. & Zlatev, Z., 2004. "Parallel runs of a large air pollution model on a grid of Sun computers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 65(6), pages 557-577.
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    Cited by:

    1. Pedro Jiménez-Guerrero & Juan Gómez-Navarro & Rocío Baró & Raquel Lorente & Nuno Ratola & Juan Montávez, 2013. "Is there a common pattern of future gas-phase air pollution in Europe under diverse climate change scenarios?," Climatic Change, Springer, vol. 121(4), pages 661-671, December.
    2. Brian H. Bossak & Samantha Andritsch, 2022. "COVID-19 and Air Pollution: A Spatial Analysis of Particulate Matter Concentration and Pandemic-Associated Mortality in the US," IJERPH, MDPI, vol. 19(1), pages 1-12, January.

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