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Spatial emission modelling for residential wood combustion in Denmark

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Spatial emission modelling for residential wood combustion in Denmark. / Plejdrup, Marlene Schmidt; Nielsen, Ole-Kenneth; Brandt, Jørgen.

I: Atmospheric Environment, Bind 144, 14.09.2016, s. 389-396.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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Plejdrup MS, Nielsen O-K, Brandt J. Spatial emission modelling for residential wood combustion in Denmark. Atmospheric Environment. 2016 sep. 14;144:389-396. doi: 10.1016/j.atmosenv.2016.09.013

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Bibtex

@article{735425911ceb4f189ff2c27c282884ce,
title = "Spatial emission modelling for residential wood combustion in Denmark",
abstract = "Residential wood combustion (RWC) is a major contributor to atmospheric pollution especially for particulate matter. Air pollution has significant impact on human health, and it is therefore important to know the human exposure. For this purpose, it is necessary with a detailed high resolution spatial distribution of emissions. In previous studies as well as in the model previously used in Denmark, the spatial resolution is limited, e.g. municipality or county level. Further, in many cases models are mainly relying on population density data as the spatial proxy for distributing the emissions. This paper describes the new Danish model for high resolution spatial distribution of emissions from RWC to air. The new spatial emission model is based on information regarding building type, and primary and supplementary heating installations from the Danish Building and Dwelling Register (BBR), which holds detailed data for all buildings in Denmark. The new model provides a much more accurate distribution of emissions than the previous model used in Denmark, as the resolution has been increased from municipality level to a 1 km × 1 km resolution, and the distribution key has been significantly improved so that it no longer puts an excessive weight on population density. The new model has been verified for the city of Copenhagen, where emissions estimated using both the previous and the new model have been compared to the emissions estimated in a case study. This comparison shows that the new model with the developed weighting factors (76 ton PM2.5) is in good agreement with the case study (95 ton PM2.5), and that the new model has improved the spatial emission distribution significantly compared to the previous model (284 ton PM2.5). Additionally, a sensitivity analysis was done to illustrate the impact of the weighting factors on the result, showing that the new model independently of the weighting factors chosen produce a more accurate result than the old model.",
keywords = "Residential wood combustion, spatial distribution, gridded emissions, Emission inventory, GIS",
author = "Plejdrup, {Marlene Schmidt} and Ole-Kenneth Nielsen and J{\o}rgen Brandt",
year = "2016",
month = sep,
day = "14",
doi = "10.1016/j.atmosenv.2016.09.013",
language = "English",
volume = "144",
pages = "389--396",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Spatial emission modelling for residential wood combustion in Denmark

AU - Plejdrup, Marlene Schmidt

AU - Nielsen, Ole-Kenneth

AU - Brandt, Jørgen

PY - 2016/9/14

Y1 - 2016/9/14

N2 - Residential wood combustion (RWC) is a major contributor to atmospheric pollution especially for particulate matter. Air pollution has significant impact on human health, and it is therefore important to know the human exposure. For this purpose, it is necessary with a detailed high resolution spatial distribution of emissions. In previous studies as well as in the model previously used in Denmark, the spatial resolution is limited, e.g. municipality or county level. Further, in many cases models are mainly relying on population density data as the spatial proxy for distributing the emissions. This paper describes the new Danish model for high resolution spatial distribution of emissions from RWC to air. The new spatial emission model is based on information regarding building type, and primary and supplementary heating installations from the Danish Building and Dwelling Register (BBR), which holds detailed data for all buildings in Denmark. The new model provides a much more accurate distribution of emissions than the previous model used in Denmark, as the resolution has been increased from municipality level to a 1 km × 1 km resolution, and the distribution key has been significantly improved so that it no longer puts an excessive weight on population density. The new model has been verified for the city of Copenhagen, where emissions estimated using both the previous and the new model have been compared to the emissions estimated in a case study. This comparison shows that the new model with the developed weighting factors (76 ton PM2.5) is in good agreement with the case study (95 ton PM2.5), and that the new model has improved the spatial emission distribution significantly compared to the previous model (284 ton PM2.5). Additionally, a sensitivity analysis was done to illustrate the impact of the weighting factors on the result, showing that the new model independently of the weighting factors chosen produce a more accurate result than the old model.

AB - Residential wood combustion (RWC) is a major contributor to atmospheric pollution especially for particulate matter. Air pollution has significant impact on human health, and it is therefore important to know the human exposure. For this purpose, it is necessary with a detailed high resolution spatial distribution of emissions. In previous studies as well as in the model previously used in Denmark, the spatial resolution is limited, e.g. municipality or county level. Further, in many cases models are mainly relying on population density data as the spatial proxy for distributing the emissions. This paper describes the new Danish model for high resolution spatial distribution of emissions from RWC to air. The new spatial emission model is based on information regarding building type, and primary and supplementary heating installations from the Danish Building and Dwelling Register (BBR), which holds detailed data for all buildings in Denmark. The new model provides a much more accurate distribution of emissions than the previous model used in Denmark, as the resolution has been increased from municipality level to a 1 km × 1 km resolution, and the distribution key has been significantly improved so that it no longer puts an excessive weight on population density. The new model has been verified for the city of Copenhagen, where emissions estimated using both the previous and the new model have been compared to the emissions estimated in a case study. This comparison shows that the new model with the developed weighting factors (76 ton PM2.5) is in good agreement with the case study (95 ton PM2.5), and that the new model has improved the spatial emission distribution significantly compared to the previous model (284 ton PM2.5). Additionally, a sensitivity analysis was done to illustrate the impact of the weighting factors on the result, showing that the new model independently of the weighting factors chosen produce a more accurate result than the old model.

KW - Residential wood combustion

KW - spatial distribution

KW - gridded emissions

KW - Emission inventory

KW - GIS

U2 - 10.1016/j.atmosenv.2016.09.013

DO - 10.1016/j.atmosenv.2016.09.013

M3 - Journal article

VL - 144

SP - 389

EP - 396

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

ER -