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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/acp-2019-702
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-702
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 10 Oct 2019

Submitted as: research article | 10 Oct 2019

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A revised version of this preprint was accepted for the journal ACP and is expected to appear here in due course.

Modelling of the public health costs of fine particulate matter and results for Finland in 2015

Jaakko Kukkonen1, Mikko Savolahti2, Yuliia Palamarchuk1, Timo Lanki3, Väinö Nurmi1, Ville-Veikko Paunu2, Leena Kangas1, Mikhail Sofiev1, Ari Karppinen1, Androniki Maragkidou1, Pekka Tiittanen3, and Niko Karvosenoja2 Jaakko Kukkonen et al.
  • 1Finnish Meteorological Institute, Erik Palmenin aukio 1, P.O. Box 503, 00101, Helsinki, Finland
  • 2Finnish Environment Institute, Latokartanonkaari 11, FI-00790 Helsinki, Finland
  • 3National institute for health and Welfare, PL 30, 00271 Helsinki, Finland

Abstract. We have developed an integrated tool of assessment that can be used for evaluating the public health costs caused by the concentrations of fine particulate matter (PM2.5) in ambient air. The model can be used in assessing the impacts of various alternative air quality abatement measures, policies and strategies. The model has been applied for the evaluation of the costs of the domestic emissions that influence the concentrations of PM2.5 in Finland in 2015. The model includes the impacts on human health; however, it does not address the impacts on climate change or the state of the environment. First, the national Finnish emissions were evaluated using the Finnish Regional Emission Scenarios model (FRES) on a resolution of 250 × 250 m2 for the whole of Finland. Second, the atmospheric dispersion was analyzed by using the chemical transport model SILAM and the source-receptor matrices contained in the FRES model. Third, the health impacts were assessed by combining the spatially resolved concentration and population datasets, and by analyzing the impacts for various health outcomes. Fourth, the economic impacts for the health outcomes were evaluated. The model can be used to evaluate the costs of the health damages for various emission source categories, for a unit of emissions of PM2.5. It was found that economically the most effective measures would be the reduction of the emissions in urban areas of (i) road transport, (ii) non-road vehicles and machinery, and (iii) residential wood combustion. The reduction of the precursor emissions of PM2.5 was clearly less effective, compared with reducing directly the emissions of PM2.5. We have also designed a user-friendly web-based tool of assessment that is available open access.

Jaakko Kukkonen et al.

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Interactive discussion

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Jaakko Kukkonen et al.

Jaakko Kukkonen et al.

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Latest update: 05 Jul 2020
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Short summary
We have developed a mathematical model that can be used in analyzing the benefits that could be achieved by implementing alternative air quality abatement measures, policies or strategies. The model was applied for the pollution sources in the whole of Finland in 2015. Economically clearly the most effective measures were the reduction of the emissions from low-level sources in urban areas. Such sources include road transport, non-road vehicles and machinery, and residential wood combustion.
We have developed a mathematical model that can be used in analyzing the benefits that could be...
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