Articles | Volume 20, issue 15
https://doi.org/10.5194/acp-20-9371-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-9371-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Aug 2020
Research article |
| 11 Aug 2020
| 11 Aug 2020
Modelling of the public health costs of fine particulate matter and results for Finland in 2015
Jaakko Kukkonen
CORRESPONDING AUTHOR
Finnish Meteorological Institute, 00101 Helsinki, Finland
Mikko Savolahti
Finnish Environment Institute (SYKE), 00790
Helsinki, Finland
Yuliia Palamarchuk
Finnish Meteorological Institute, 00101 Helsinki, Finland
Timo Lanki
Finnish Institute for Health and Welfare, 00271 Helsinki,
Finland
University of Eastern Finland, 70210 Kuopio, Finland
Väinö Nurmi
Finnish Meteorological Institute, 00101 Helsinki, Finland
Ville-Veikko Paunu
Finnish Environment Institute (SYKE), 00790
Helsinki, Finland
Leena Kangas
Finnish Meteorological Institute, 00101 Helsinki, Finland
Mikhail Sofiev
Finnish Meteorological Institute, 00101 Helsinki, Finland
Ari Karppinen
Finnish Meteorological Institute, 00101 Helsinki, Finland
Androniki Maragkidou
Finnish Meteorological Institute, 00101 Helsinki, Finland
Pekka Tiittanen
Finnish Institute for Health and Welfare, 00271 Helsinki,
Finland
Niko Karvosenoja
Finnish Environment Institute (SYKE), 00790
Helsinki, Finland
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Preprint withdrawn
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Ranjeet S. Sokhi, Nicolas Moussiopoulos, Alexander Baklanov, John Bartzis, Isabelle Coll, Sandro Finardi, Rainer Friedrich, Camilla Geels, Tiia Grönholm, Tomas Halenka, Matthias Ketzel, Androniki Maragkidou, Volker Matthias, Jana Moldanova, Leonidas Ntziachristos, Klaus Schäfer, Peter Suppan, George Tsegas, Greg Carmichael, Vicente Franco, Steve Hanna, Jukka-Pekka Jalkanen, Guus J. M. Velders, and Jaakko Kukkonen
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The paper covers the aspects related to changes in carbon, nitrogen, and phosphorus (C, N, P) external loads; their transformations in the coastal zone; changes in organic matter production (eutrophication) and remineralization (oxygen availability); and the role of sediments in burial and turnover of C, N, and P. Furthermore, this paper also focuses on changes in the marine CO2 system, the structure of the microbial community, and the role of contaminants for biogeochemical processes.
Pak Lun Fung, Martha A. Zaidan, Jarkko V. Niemi, Erkka Saukko, Hilkka Timonen, Anu Kousa, Joel Kuula, Topi Rönkkö, Ari Karppinen, Sasu Tarkoma, Markku Kulmala, Tuukka Petäjä, and Tareq Hussein
Atmos. Chem. Phys., 22, 1861–1882, https://doi.org/10.5194/acp-22-1861-2022, https://doi.org/10.5194/acp-22-1861-2022, 2022
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We developed an input-adaptive mixed-effects model, which was automatised to select the best combination of input variables, including up to three fixed effect variables and three time indictors as random effect variables. We tested the model to estimate lung-deposited surface area (LDSA), which correlates well with human health. The results show the inclusion of time indicators improved the sensitivity and the accuracy of the model so that it could serve as a network of virtual sensors.
Yalda Fatahi, Rostislav Kouznetsov, and Mikhail Sofiev
Geosci. Model Dev., 14, 7459–7475, https://doi.org/10.5194/gmd-14-7459-2021, https://doi.org/10.5194/gmd-14-7459-2021, 2021
Short summary
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Incorporating information on public holidays into anthropogenic sector emissions results in substantial short-term improvement of the chemistry transport model SILAM scores. The largest impact was found for NOx, which is controlled by the changes in the traffic intensity. Certain improvements were also found for other species, but the signal was weaker than that for NOx.
Hugues Brenot, Nicolas Theys, Lieven Clarisse, Jeroen van Gent, Daniel R. Hurtmans, Sophie Vandenbussche, Nikolaos Papagiannopoulos, Lucia Mona, Timo Virtanen, Andreas Uppstu, Mikhail Sofiev, Luca Bugliaro, Margarita Vázquez-Navarro, Pascal Hedelt, Michelle Maree Parks, Sara Barsotti, Mauro Coltelli, William Moreland, Simona Scollo, Giuseppe Salerno, Delia Arnold-Arias, Marcus Hirtl, Tuomas Peltonen, Juhani Lahtinen, Klaus Sievers, Florian Lipok, Rolf Rüfenacht, Alexander Haefele, Maxime Hervo, Saskia Wagenaar, Wim Som de Cerff, Jos de Laat, Arnoud Apituley, Piet Stammes, Quentin Laffineur, Andy Delcloo, Robertson Lennart, Carl-Herbert Rokitansky, Arturo Vargas, Markus Kerschbaum, Christian Resch, Raimund Zopp, Matthieu Plu, Vincent-Henri Peuch, Michel Van Roozendael, and Gerhard Wotawa
Nat. Hazards Earth Syst. Sci., 21, 3367–3405, https://doi.org/10.5194/nhess-21-3367-2021, https://doi.org/10.5194/nhess-21-3367-2021, 2021
Short summary
Short summary
The purpose of the EUNADICS-AV (European Natural Airborne Disaster Information and Coordination System for Aviation) prototype early warning system (EWS) is to develop the combined use of harmonised data products from satellite, ground-based and in situ instruments to produce alerts of airborne hazards (volcanic, dust, smoke and radionuclide clouds), satisfying the requirement of aviation air traffic management (ATM) stakeholders (https://cordis.europa.eu/project/id/723986).
Cited articles
Al-Thani, H., Koç, M., and Isaifan, R. J.: A review on the
direct effect of
particulate atmospheric pollution on materials and its mitigation for
sustainable cities and
societies, Environ. Sci. Pollut. Res. Int., 25, 27839–27857, 2018.
Baumol, W. J. and Oates, W. E.: The Theory of Environmental Policy, 2nd Edn., Cambridge University Press, Cambridge, 1988.
Bickel, P. and Friedrich, R. (Eds.): ExternE Externalities of
Energy Methodology 2005
Update. Institut für Energiewirtschaft und Rationelle Energieanwendung
— IER Universität
Stuttgart, Germany. Directorate-General for Research Sustainable Energy
Systems, EUR 21951.
Luxembourg: Office for Official Publications of the European Communities,
2004, ISBN
92-79-00423-9, European Communities, 2005, printed in Luxemburg, 270 pp.,
2005.
Bickel, P., Schmid, S., Tervonen, J., Hämekoski, K.,
Otterström, T., Anton, P.,
Enei, R., Leone, G., van Donselaar, P., and Carmigchelt, H.: Environmental
Marginal Cost Case
Studies, UNITE (UNIfication of accounts and marginal costs for Transport
Efficiency) Working
Funded by 5th Framework RTD Programme, IER, University of Stuttgart,
Stuttgart, 2003.
Brandt, J., Silver, J. D., Gross, A., and Christensen, J. H.:
Marginal damage cost per
unit of air pollution emissions, Roskilde: National Environmental Research
Institute, 23 p.,
Specific agreement 3555/B2010/EEA.54131 implementing framework contract
ref. no. EEA/IEA/09/002, National Environmental Research Institute, Roskilde, Denmark, 2010.
Brasseur, G. P., Xie, Y., Petersen, A. K., Bouarar, I., Flemming,
J., Gauss, M., Jiang,
F., Kouznetsov, R., Kranenburg, R., Mijling, B., Peuch, V.-H., Pommier, M.,
Segers, A., Sofiev,
M., Timmermans, R., van der A, R., Walters, S., Xu, J., and Zhou, G.:
Ensemble forecasts of air
quality in eastern China – Part 1: Model description and implementation of
the MarcoPolo–Panda
prediction system, version 1, Geosci. Model Dev., 12, 33–67,
https://doi.org/10.5194/gmd-12-33-2019, 2019.
Buonocore, J. J., Dong, X., Spengler, J. D., Fu, J. S., and Levy,
J. I.: Using the
Community Multiscale Air Quality (CMAQ) model to estimate public health
impacts of PM2.5
from individual power plants, Environ. Int., 68, 200–208, 2014.
Cao, J., Yang, C., Li, J., Chen, R., Chen, B., Gu, D., and Kan,
H.: Association between
long-term exposure to outdoor air pollution and mortality in China: A
cohort study, J. Hazard
Mater., 186, 1594–600, 2011.
Carson, R. T. and LaRiviere, J.: Structural Uncertainty and
Pollution Control: Optimal
Stringency with Unknown Pollution Sources, Environ. Resour. Econ., 71,
337–355, 2018.
DEFRA: Air quality economic analysis: Damage costs by location
and source, Department
for Environment, Food and Rural Affairs, London, available at:
https://www.gov.uk/government/publications/assess-the-impact-of-air-quality
(last access: 7 August 2020), 2015.
Dhondt, S., Kochan, B., Beckx, C., Lefebvre, W., Pirdavani, A.,
Degraeuwe, B.,
Bellemans, T., Panis, L. I., Macharis, C., and Putman, K.: Integrated
health impact assessment of
travel behaviour: model exploration and application to a fuel price
increase, Environ. Int., 51,
45–58, 2013.
EEA: Costs of air pollution from European industrial facilities
2008–2012 – and
updated assessment (EEA Technical report No. 20/2014), European Environment
Agency, Luxembourg,
2014.
Fann, N., Fulcher, C. M., and Hubbell, B. J.: The influence of
location, source, and
emission type in estimates of the human health benefits of reducing a ton
of air pollution, Air
Qual. Atmos. Health, 2, 169–176, 2009.
Gakidou, E., Afshin, A., Abajobir, A. A., and Murray, C. J. L.:
Global, regional, and
national comparative risk assessment of 84 behavioural, environmental and
occupational, and
metabolic risks or clusters of risks, 1990–2016: a systematic analysis for
the Global Burden of
Disease Study 2016, Lancet, 390, 1345–1422, 2017.
Halonen, J. I., Lanki, T., Yli-Tuomi, T., Tiittanen, P.,
Kulmala, M., and Pekkanen, J.:
Particulate air pollution and acute cardiorespiratory hospital admissions
among the elderly,
Epidemiology, 20, 143–153, 2009.
Heo, J., Adams, P. J., and Gao, H. O.: Public Health Costs of
Primary PM2.5 and
Inorganic PM2.5 Precursor Emissions in the United States, Environ.
Sci. Technol., 50, 6051–6070,
2016.
Holland, M.: Cost-benefit analysis of final policy scenarios for
the EU Clean Air
Package, Version 2, Corresponding to IIASA TSAP Report #11, Version 2a,
The International
Institute for Applied Systems Analysis, Laxemburg, Austria, 2014.
Holland, M., Hunt, A., Hurley, F., Navrud, S., and Watkiss, P.:
Methodology for
Cost-Benefit Analysis of CAFÉ (Clean Air for Europe), in: Volume 1:
Overview and
methodology, Report to DG Environment, European Commission,
Didcot, UK, 112 pp., 2005.
Holland, S., Mansur, E., Muller, N., and Yates, A.: Measuring
the Spatial Heterogeneity
in Environmental Externalities from Driving: A Comparison of Gasoline and
Electric Vehicles, NBER
Working Paper No. 21291, University of North Carolina at Greensboro and National Bureau of Economic, Research, Greensboro, North Carolina, USA, 2015.
Hurley, F., Hunt, A., Cowie, H., Holland, M., Miller, B., Pye,
S., and Watkiss, S.:
Methodology for the cost-benefit analysis for CAFE, in: Volume 2: Health
Impact Assessment,
AEAT/ED51014/Methodology Volume 2, AEA Technology Environment, Didcot, Oxon, UK, 2005.
Im, U., Brandt, J., Geels, C., Hansen, K. M., Christensen, J.
H., Andersen, M. S.,
Solazzo, E., Kioutsioukis, I., Alyuz, U., Balzarini, A., Baro, R.,
Bellasio, R., Bianconi, R.,
Bieser, J., Colette, A., Curci, G., Farrow, A., Flemming, J., Fraser, A.,
Jimenez-Guerrero, P.,
Kitwiroon, N., Liang, C.-K., Nopmongcol, U., Pirovano, G., Pozzoli, L.,
Prank, M., Rose, R.,
Sokhi, R., Tuccella, P., Unal, A., Vivanco, M. G., West, J., Yarwood, G.,
Hogrefe, C., and
Galmarini, S.: Assessment and economic valuation of air pollution impacts
on human health over
Europe and the United States as calculated by a multi-model ensemble in the
framework of AQMEII3,
Atmos. Chem. Phys., 18, 5967–5989, https://doi.org/10.5194/acp-18-5967-2018, 2018.
Jerrett, M., Burnett, R. T., Ma, R., Pope, C. A. 3rd, Krewski,
D., Newbold, K. B.,
Thurston, G., Shi, Y., Finkelstein, N., Calle, E. E., and Thun, M. J.:
Spatial analysis of air
pollution and mortality in Los Angeles, Epidemiology, 16, 727–736, 2005.
Johansson, L., Jalkanen, J.-P., and Kukkonen, J.: Global
assessment of shipping
emissions in 2015 on a high spatial and temporal resolution, Atmos.
Environ., 167, 403–415, 2017.
Karl, M., Jonson, J. E., Uppstu, A., Aulinger, A., Prank, M.,
Sofiev, M., Jalkanen,
J.-P., Johansson, L., Quante, M., and Matthias, V.: Effects of ship
emissions on air quality in
the Baltic Sea region simulated with three different chemistry transport
models,
Atmos. Chem. Phys., 19, 7019–7053, https://doi.org/10.5194/acp-19-7019-2019, 2019.
Karppinen, A., Kukkonen, J., Elolähde, T., Konttinen, M.,
Koskentalo, T., and
Rantakrans, E.: A modelling system for predicting urban air pollution:
model description and
applications in the Helsinki metropolitan area, Atmos. Environ., 34,
3723–3733, 2000a.
Karppinen, A, Kukkonen, J., Elolähde, T., Konttinen, M., and
Koskentalo, T.: A
modelling system for predicting urban air pollution: comparison of model
predictions with the data
of an urban measurement network in Helsinki, Atmos. Environ., 34,
3735–3743, 2000b.
Karvosenoja, N., Tainio, M., Kupiainen, K., Tuomisto, J. T.,
Kukkonen, J., and
Johansson, M.: Evaluation of the emissions and uncertainties of
PM2.5 originated from
vehicular traffic and domestic wood combustion in Finland, Boreal Environ.
Res., 13, 465–474,
2008.
Karvosenoja, N., Kangas, L., Kupiainen, K., Kukkonen, J.,
Karppinen, A., Sofiev, M.,
Tainio, M., Paunu, V.-V., Ahtoniemi, P., Tuomisto, J. T., and Porvari, P.:
Integrated modeling
assessments of the population exposure in Finland to primary
PM2.5 from traffic and
domestic wood combustion on the resolutions of 1 and 10 km, Air Qual.
Atmos. Health, 4, 179–188,
2011.
Karvosenoja, N., Paunu, V.-V., Savolahti, M., Kupiainen, K.,
Kukkonen, J., and
Hänninen, O.: A high-resolution national emission inventory and
dispersion modelling – Is
population density a sufficient proxy variable?, pp. 199–204, in: chap. 31
in Air pollution
modelling and its application XXVI, edited by: Mensink, C., Gong, W.,
Hakami, A., Springer
Proceedings in Complexity, Springer Nature, Switzerland,
ISBN 978-3-030-22054-9, ITM 2018
Proceedings, 490 pp., https://doi.org/10.1007/978-3-030-22055-6, 2020.
Kauhaniemi, M., Karppinen, A., Härkönen, J., Kousa, A., Alaviippola, B., Koskentalo, T., Aarnio, P., Elolähde, T. ,and Kukkonen, J.: Evaluation of a modelling system for predicting the concentrations of PM2.5 in an urban area, Atmos. Environ., 42, 4517–4529, 2008.
Kollanus, V., Prank, M., Gens, A., Soares, J., Vira, J., Kukkonen, J., Sofiev, M., Salonen, R. O., and Lanki, T.: Mortality due to vegetation-fire originated PM2.5 exposure in Europe – assessment for the years 2005 and 2008, Environ. Health Perspect., 125, 30–37, https://doi.org/10.1289/EHP194, 2016.
Korhonen, A., Lehtomäki, H., Rumrich, I., Karvosenoja, N.,
Paunu, V.-V., Kupiainen,
K., Sofiev, M., Palamarchuk, Y., Kukkonen, J., Kangas, L., Karppinen, A.,
and Otto Hänninen,
O.: Influence of spatial resolution on population PM2.5 exposure
and health impacts, Air
Qual. Atmos. Health, 12, 705–718, https://doi.org/10.1007/s11869-019-00690-z, 2019.
Kousa, A., Kukkonen, J., Karppinen, A., Aarnio, P., and
Koskentalo, T.: Statistical and
diagnostic evaluation of a new-generation urban dispersion modelling system
against an extensive
dataset in the Helsinki Area, Atmos. Environ., 35, 4617–4628, 2001.
Kouznetsov, R. and Sofiev, M.: A methodology for evaluation of vertical dispersion and dry deposition of atmospheric aerosols, J. Geophys. Res., 117, D01202, https://doi.org/10.1029/2011JD016366, 2012.
Kukkonen, J., Singh, V., Sokhi, R.S., Soares, J., Kousa, A.,
Matilainen, L., Kangas,
L., Kauhaniemi, M., Riikonen, K., Jalkanen, J.-P., Rasila, T.,
Hänninen, O., Koskentalo, T.,
Aarnio, M., Hendriks, C., Karppinen, A.: Assessment of Population Exposure
to Particulate Matter
for London and Helsinki, in: Air Pollution Modeling and Its
Application XXIV, edited by: Steyn, D. G. and Chaumerliac, N., Springer,
Switzerland, 99–105, https://doi.org/10.1007/978-3-319-24478-5_16, 2016.
Kukkonen, J., Kangas, L., Kauhaniemi, M., Sofiev, M., Aarnio,
M., Jaakkola, J. J. K.,
Kousa, A., and Karppinen, A.: Modelling of the urban concentrations of
PM2.5 on a high
resolution for a period of 35 years, for the assessment of lifetime
exposure and health effects,
Atmos. Chem. Phys., 18, 8041–8064, https://doi.org/10.5194/acp-18-8041-2018, 2018.
Kukkonen, J., López-Aparicio, S., Segersson, D., Geels, C.,
Kangas, L., Kauhaniemi,
M., Maragkidou, A., Jensen, A., Assmuth, T., Karppinen, A., Sofiev, M.,
Hellén, H., Riikonen,
K., Nikmo, J., Kousa, A., Niemi, J. V., Karvosenoja, N., Santos, G. S.,
Sundvor, I., Im, U.,
Christensen, J. H., Nielsen, O.-K., Plejdrup, M. S., Nøjgaard, J. K.,
Omstedt, G., Andersson,
C., Forsberg, B., and Brandt, J.: The influence of residential wood
combustion on the
concentrations of PM2.5 in four Nordic cities, Atmos. Chem.
Phys., 20, 4333–4365,
https://doi.org/10.5194/acp-20-4333-2020, 2020.
Laden, F., Schwartz, J., Speizer, F. E., and Dockery, D. W.:
Reduction in fine
particulate air pollution and mortality: Extended follow-up of the Harvard
Six Cities study,
Am. J. Respir. Crit. Care Med., 173, 667–672, 2006.
Lanki, T., Hampel, R., Tiittanen, P., Andrich, S., Beelen, R.,
Brunekreef, B., Dratva,
J., De Faire, U., Fuks, K. B., Hoffmann, B., Imboden, M., Jousilahti, P.,
Koenig, W., Mahabadi,
A. A., Künzli, N., Pedersen, N. L., Penell, J., Pershagen, G.,
Probst-Hensch, N. M.,
Schaffner, E., Schindler, C., Sugiri, D., Swart, W. J., Tsai, M. Y.,
Turunen, A. W., Weinmayr, G.,
Wolf, K., Yli-Tuomi, T., and Peters, A.: Air pollution from road traffic
and systemic inflammation
in adults: a cross-sectional analysis in the European ESCAPE project,
Environ. Health Perspect.,
123, 785–791, https://doi.org/10.1289/ehp.1408224, 2015.
Lehtomäki, H., Korhonen, A., Asikainen, A., Karvosenoja, N.,
Kupiainen, K., Paunu,
V. V., Savolahti, M., Sofiev, M., Palamarchuk, Y., Karppinen, A., Kukkonen,
J., and Hänninen,
O.: Health Impacts of Ambient Air Pollution in Finland, Int. J. Environ.
Res. Public Health., 15,
736, https://doi.org/10.3390/ijerph15040736, 2018.
Levy, J., Baxter, L. K., and Schwartz, J.: Uncertainty and
Variability in
Health-Related Damages from Coal- Fired Power Plants in the United States,
Risk Anal., 29,
1000–1014, https://doi.org/10.1111/j.1539-6924.2009.01227.x, 2009.
Lindhjem, H., Navrud, S., Braathen, N. A., and Biausque, V.:
Valuing lives saved from
environment, transport and health policies. A meta analysis, Risk Anal.,
31, 1381–1407, 2011.
Loomis, D., Huang, W., and Che, G.: The International Agency for
Research on Cancer
(IARC) evaluation of the carcinogenicity of outdoor air pollution: Focus on
China,
Chin. J. Cancer, 33, 189–96, 2014.
Muller, N. Z. and Mendehlson, R.: Efficient pollution
regulation: getting the prices
right, The American economic review, Am. Econ. Assoc., 99, 1714–1739,
2009.
Nahlik, M. J., Chester, M. V., Ryerson, M. S., and Fraser, A.
M.: Spatial Differences
and Costs of Emissions at U.S. Airport Hubs, Environ. Sci. Technol., 50,
4149–58, 2016.
Navrud, S. and Ready, R. (Eds.): Valuing Cultural Heritage.
Applying environmental
valuation techniques to historical buildings, monuments and artifacts,
Edward Elgar Publishing, Switzerland, 2002.
Navrud, S. and Ready, R. (Eds.): Environmental Value Transfer: Issues and Methods, Springer, Dordrecht, the Netherlands, 306 pp., 2007.
OECD: The economic consequences of outdoor air pollution, OECD
Publishing, Paris, 120 pp., 2016.
Ostro, B. D.: Air pollution and morbidity revisited. a
specification test,
J. Environ. Econ. Manage., 14, 87–98, 1987.
Petersen, A. K., Brasseur, G. P., Bouarar, I., Flemming, J.,
Gauss, M., Jiang, F.,
Kouznetsov, R., Kranenburg, R., Mijling, B., Peuch, V.-H., Pommier, M.,
Segers, A., Sofiev, M.,
Timmermans, R., van der A, R., Walters, S., Xie, Y., Xu, J., and Zhou, G.:
Ensemble forecasts of
air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda
prediction system,
version 1, Geosci. Model Dev., 12, 1241–1266,
https://doi.org/10.5194/gmd-12-1241-2019, 2019.
Pope III, C. A., Burnett, R. T., Thun, M. J., Calle, E. E.,
Krewski, D., Ito, K., and
Thurston, G. D.: Lung cancer, cardiopulmonary mortality, and long-term
exposure to fine
particulate air pollution, Jama, 287, 1132–1141, 2002.
Prank, M., Sofiev, M., Tsyro, S., Hendriks, C., Semeena, V.,
Vazhappilly Francis, X.,
Butler, T., Denier van der Gon, H., Friedrich, R., Hendricks, J., Kong, X.,
Lawrence, M., Righi,
M., Samaras, Z., Sausen, R., Kukkonen, J., and Sokhi, R.: Evaluation of the
performance of four
chemical transport models in predicting the aerosol chemical composition in
Europe in 2005,
Atmos. Chem. Phys., 16, 6041–6070, https://doi.org/10.5194/acp-16-6041-2016, 2016.
Qi, Z., Chen, T., Chen, J., and Qi, X.: Ambient fine
particulate matter in China: Its
negative impacts and possible countermeasures, J. Air Waste Manage. Assoc.,
68, 227–234, 2018.
Raza, W., Forsberg, B., Johansson, C., and Sommar, J. N.: Air
pollution as a risk
factor in health impact assessments of a travel mode shift towards cycling,
Glob. Health Act.,
11, 1429081, https://doi.org/10.1080/16549716.2018.1429081, 2018.
Ready, R., Navrud, S., Day, B., Dubourg, R., Machado, F.,
Mourato, S., Spanninks, F.,
and Rodriquez, M. X. V.: Befenefit transfer in Europe: How reliable are
transfers between
countries?, Environ. Resour. Econ., 29, 67–82, 2004.
Savolahti, M., Karvosenoja, N., Tissari, J., Kupiainen, K.,
Sippula, O., and Jokiniemi,
J.: Black carbon and fine particle emissions in Finnish residential wood
combustion: Emission
projections, reduction measures and the impact of combustion practices,
Atmos. Environ., 140,
495–505, 2016.
Savolahti, M., Lehtomäki, H., Karvosenoja, N., Paunu, V.-V.,
Korhonen, A.,
Kukkonen, J., Kupiainen, K., Kangas, L., Hänninen, O., and Karppinen,
A.: Residential wood
combustion in Finland: PM2.5 emissions and health impacts with
and without abatement
measures, Int. J. Environ. Res. Publ. Health, 16, 2920,
https://doi.org/10.3390/ijerph16162920, 2019.
Singh, V., Sokhi, R. S., and Kukkonen, J.: An approach to
predict population exposure
to ambient air PM2.5 concentrations and its dependence on
population activity for the megacity
London, Environ. Pollut., 257, 113623, https://doi.org/10.1016/j.envpol.2019.113623,
2020.
Smith, J. D., Mitsakou, C., Kitwiroon, N., Barratt, B. M.,
Walton, H. A., Taylor,
J. G., Anderson, H. R., Kelly, F. J., and Beevers, S. D.: London Hybrid
Exposure Model: Improving
Human Exposure Estimates to NO2 and PM2.5 in an Urban
Setting,
Environ. Sci. Technol., 50, 11760–11768, https://doi.org/10.1021/acs.est.6b01817,
2016.
Soares, J., Kousa, A., Kukkonen, J., Matilainen, L., Kangas, L.,
Kauhaniemi, M.,
Riikonen, K., Jalkanen, J.-P., Rasila, T., Hänninen, O., Koskentalo,
T., Aarnio, M., Hendriks,
C., and Karppinen, A.: Refinement of a model for evaluating the population
exposure in an urban
area, Geosci. Model Dev., 7, 1855–1872, https://doi.org/10.5194/gmd-7-1855-2014,
2014.
Sofiev, M.: On impact of transport conditions on variability of
the seasonal pollen
index, Aerobiologia, 33, 167–179, https://doi.org/10.1007/s10453-016-9459-x, 2017.
Sofiev, M., Siljamo, P., Valkama, I,. Ilvonen, M., and Kukkonen, J.: A dispersion modelling system SILAM and its evaluation against ETEX data, Atmos. Environ., 40, 674–685, https://doi.org/10.1016/j.atmosenv.2005.09.069, 2006.
Sofiev, M., Genikhovich, E., Keronen, P., and Vesala, T.:
Diagnosing the surface layer
parameters for dispersion models within the meteorological-to-dispersion
modeling interface, J.
Appl. Meteorol. Clim., 49, 221–233, https://doi.org/10.1175/2009JAMC2210.1, 2010.
Sofiev, M., Vira, J., Kouznetsov, R., Prank, M., Soares, J., and
Genikhovich, E.:
Construction of the SILAM Eulerian atmospheric dispersion model based on
the advection algorithm
of Michael Galperin, Geosci. Model Dev., 8, 3497–3522,
https://doi.org/10.5194/gmd-8-3497-2015, 2015.
Sofiev, M., Winebrake, J. J., Johansson, L., Carr, E.W., Prank,
M., Soares, J., Vira,
J., Kouznetsov, R., Jalkanen, J.-P., and Corbett, J.-J.: Cleaner fuels for
ships provide public
health benefits with climate tradeoffs, Nat. Commun., 9, 406,
https://doi.org/10.1038/s41467-017-02774-9,
2018.
Trejo-González, A. G., Riojas-Rodriguez, H.,
Texcalac-Sangrador, J. L.,
Guerrero-López, C. M., Cervantes-Martínez, K., Hurtado-Díaz,
M., de la Sierra-de la Vega, L. A., and Zuñiga-Bello, P. E.:
Quantifying health impacts and economic costs of
PM2.5 exposure in Mexican cities of the National Urban System,
Int. J. Publ. Health,
64, 561–572, 2019.
US EPA: Integrated Science Assessment (ISA) for Particulate Matter, Final Report EPA/600/R-08/139F, December 2009, US Environmental Protection Agency, Washington, D.C., 1071 pp., 2009.
Vira, J. and Sofiev, M.: On variational data assimilation for
estimating the model
initial conditions and emission fluxes for the short-term forecasting of
SOx
concentrations, Atmos. Environ., 46, 318–328,
https://doi.org/10.1016/j.atmosenv.2011.09.066, 2012.
Vira, J. and Sofiev, M.: Assimilation of surface NO2 and
O3
observations into the SILAM chemistry transport model, Geosci. Model Dev.,
8, 191–203,
https://doi.org/10.5194/gmd-8-191-2015, 2015.
Vira, J., Carboni, E., Grainger, R. G., and Sofiev, M.:
Variational assimilation of
IASI SO2 plume height and total column retrievals in the
2010 eruption of
Eyjafjallajökull using the SILAM v5.3 chemistry transport model,
Geosci. Model Dev., 10,
1985–2008, https://doi.org/10.5194/gmd-10-1985-2017, 2017.
Walton, H., Dajnak, D., Beevers, S., Williams, M., Watkiss, P.,
and Hunt, A.:
Understanding the health impacts of air pollution in London, Transport for
London and the Greater
London Authority, King's College, London, UK, 129 pp., 2015.
WHO: Review of evidence on health aspects of air pollution –
REVIHAAP project,
Technical Report, WHO Regional Office for Europe, Copenhagen, Denmark,
309 pp, 2013a.
WHO: Health risks of air pollution in Europe – HRAPIE project,
Recommendations for
concentration-response functions for cost-benefit analysis of particulate
matter, ozone and
nitrogen dioxide, WHO Regional Office for Europe, Copenhagen, Denmark,
60 pp., 2013b.
Wolfe, P., Davidson, K., Fulcher, C., Fann, N., Zawacki, M., and
Baker, K. R.:
Monetized health benefits attributable to mobile source emission reductions
across the United
States in 2025, Sci. Total Environ., 650, 2490–2498, 2019
Woodcock, J., Edwards, P., Tonne, C., Armstrong, B. G., Ashiru,
O., Banister, D.,
Beevers, S., Chalabi, Z., Chowdhury, Z., Cohen, A., Franco, O. H., Haines,
A., Hickman, R.,
Lindsay, G., Mittal, I., Mohan, D., Tiwari, G., Woodward, A., and Roberts,
I.: Public health
benefits of strategies to reduce greenhousegas emissions: urban land
transport, Lancet, 374,
1930–1943, 2009.
Woodcock, J., Givoni, M., and Morgan, A. S.: Health impact
modelling of active travel
visions for England and Wales using an Integrated Transport and Health
Impact Modelling Tool (ITHIM), PLoS One, 8, e51462,
https://doi.org/10.1371/journal.pone.0051462, 2013.
Woodcock, J., Tainio, M., Cheshire, J., O'Brien, O., and
Goodman, A.: Health effects of
the London bicycle sharing system: health impact modelling study, Brit. Med. J., 348, g425, https://doi.org/10.1136/bmj.g425, 2014.
Short summary
We have developed a mathematical model that can be used to analyse the benefits that could be achieved by implementing alternative air quality abatement measures, policies or strategies. The model was applied to determine pollution sources in the whole of Finland in 2015. Clearly the most economically effective measures were the reduction in 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 to analyse the benefits that could be...
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