204
N. Karvosenoja et al.
References
1. N. Karvosenoja, L. Kangas, K. Kupiainen et al., 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)
2. N. Karvosenoja, Emission scenario model for regional air pollution. Monogr. Boreal Environ.
Res. 32 (2008)
3. N. Karvosenoja, M. Tainio, K. Kupiainen et al., 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)
4. V.-V. Paunu, N. Karvosenoja, M. Savolahti et al., High quality spatial model for residential
wood combustion emissions, in 16th IUAPPA World Clean Air Congress, Cape Town, South
Africa, 29 September–4 October 2013 (2013), 4 pp
5. M. Rao, I. D’Elia, A. Piersantic, An uncertainty quantification of PM2.5 emissions from residential wood combustion in Italy. Atmos. Pollut. Res. (2018, in press)
6. P. Thunis, A. Miranda, J.M. Baldasano et al., Overview of current regional and local scale air
quality modelling practices: assessment and planning tools in the EU. Environ. Sci. Policy 65,
13–21 (2016)
7. M. Trombetti, P. Thunis, B. Bessagnet et al., Spatial inter-comparison of Top-down emission
inventories in European urban areas. Atm. Environ. 173, 142–156 (2018)
8. P. Viaene, C.A. Belis, N. Blond et al., Air quality integrated assessment modelling in the context
of EU policy: a way forward. Environ. Sci. Policy 65, 22–28 (2016)
9. B. Zheng, Q. Zhang, D. Tong et al., Resolution dependence of uncertainties in gridded emission
inventories: a case study in Hebei. China. Atmos. Chem. Phys. 17, 921–933 (2017)
References to Questions and Answers Section
10. S. Hogue, E. Marland, R.J. Andres et al., Uncertainty in gridded CO 2 emissions estimates, in 4th International Workshop on Uncertainty in Atmospheric Emissions, 7–9 October 2015, Krakow, Poland (2015), pp. 117–124. http://www.ibspan.waw.pl/unws2015/images/
publications/4thWorkshopProceedings.pdf
11. N. Karvosenoja, Emission scenario model for regional air pollution. Monogr. Boreal Environ.
Res. 32 (2008)
12. J.J.P. Kuenen, A.J.H. Visschedijk, M. Jozwicka et al., TNO-MACC_II emission inventory; a
multi-year (2003–2009) consistent high-resolution European emission inventory for air quality
modelling. Atmos. Chem. Phys. 14, 10963–10976 (2014)
13. V.-V. Paunu, N. Karvosenoja, M. Savolahti et al., High quality spatial model for residential
wood combustion emissions, in 16th IUAPPA World Clean Air Congress, Cape Town, South
Africa, 29 September–4 October 2013 (2013), 4 pp
14. E. Pisoni, D. Albrecht, T.A. Mara et al., Application of uncertainty and sensitivity analysis to
the air quality SHERPA modelling tool. Atmos. Environ. 183, 84–93 (2018)
N. Karvosenoja et al.
References
1. N. Karvosenoja, L. Kangas, K. Kupiainen et al., 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)
2. N. Karvosenoja, Emission scenario model for regional air pollution. Monogr. Boreal Environ.
Res. 32 (2008)
3. N. Karvosenoja, M. Tainio, K. Kupiainen et al., 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)
4. V.-V. Paunu, N. Karvosenoja, M. Savolahti et al., High quality spatial model for residential
wood combustion emissions, in 16th IUAPPA World Clean Air Congress, Cape Town, South
Africa, 29 September–4 October 2013 (2013), 4 pp
5. M. Rao, I. D’Elia, A. Piersantic, An uncertainty quantification of PM2.5 emissions from residential wood combustion in Italy. Atmos. Pollut. Res. (2018, in press)
6. P. Thunis, A. Miranda, J.M. Baldasano et al., Overview of current regional and local scale air
quality modelling practices: assessment and planning tools in the EU. Environ. Sci. Policy 65,
13–21 (2016)
7. M. Trombetti, P. Thunis, B. Bessagnet et al., Spatial inter-comparison of Top-down emission
inventories in European urban areas. Atm. Environ. 173, 142–156 (2018)
8. P. Viaene, C.A. Belis, N. Blond et al., Air quality integrated assessment modelling in the context
of EU policy: a way forward. Environ. Sci. Policy 65, 22–28 (2016)
9. B. Zheng, Q. Zhang, D. Tong et al., Resolution dependence of uncertainties in gridded emission
inventories: a case study in Hebei. China. Atmos. Chem. Phys. 17, 921–933 (2017)
References to Questions and Answers Section
10. S. Hogue, E. Marland, R.J. Andres et al., Uncertainty in gridded CO 2 emissions estimates, in 4th International Workshop on Uncertainty in Atmospheric Emissions, 7–9 October 2015, Krakow, Poland (2015), pp. 117–124. http://www.ibspan.waw.pl/unws2015/images/
publications/4thWorkshopProceedings.pdf
11. N. Karvosenoja, Emission scenario model for regional air pollution. Monogr. Boreal Environ.
Res. 32 (2008)
12. J.J.P. Kuenen, A.J.H. Visschedijk, M. Jozwicka et al., TNO-MACC_II emission inventory; a
multi-year (2003–2009) consistent high-resolution European emission inventory for air quality
modelling. Atmos. Chem. Phys. 14, 10963–10976 (2014)
13. V.-V. Paunu, N. Karvosenoja, M. Savolahti et al., High quality spatial model for residential
wood combustion emissions, in 16th IUAPPA World Clean Air Congress, Cape Town, South
Africa, 29 September–4 October 2013 (2013), 4 pp
14. E. Pisoni, D. Albrecht, T.A. Mara et al., Application of uncertainty and sensitivity analysis to
the air quality SHERPA modelling tool. Atmos. Environ. 183, 84–93 (2018)