Spatio-temporal modeling of grass and birch pollen in Belgium
- Author
- Andy Delcloo (UGent) , Willem W. Verstraeten, Rostislav Kouznetsov, Nicolas Bruffaerts, Sébastien Dujardin, Marijke Hendrickx and Mikhail Sofiev
- Organization
- Abstract
- The contribution of biogenic aerosols such as pollen to air pollution effects on the human wellbeing is substantial. Recently there is a global increase in the burden of allergic respiratory diseases. In Europe, a quarter of the population suffers from pollinosis, whereas in some countries the prevalence is over 40%. To date, pollen of various trees and grasses in Belgium are monitored by the Belgian Scientific Institute for Public Health (Sciensano) at five stations on a daily basis. This sampling is rather general and cannot retrieve the spatial representativeness of the airborne pollen into enough detail for individual use. Chemistry Transport Models (CTM’s) are able to quantify the spatial and temporal distributions of airborne pollen at different scales and frequencies. Moreover, CTM’s are useful for short-term forecasting of the intensities of pollen levels. Here we show the results of the modelled spatio-temporal distributions of grass and birch pollen over Belgium for 2008 using SILAM driven by ECMWF meteorological data, an updated MACCIII birch tree areal fraction map based on local information, and a grass pollen emission map showing the spatial distribution of the potential grass pollen sources updated with Copernicus grassland data.
- Keywords
- CTM, Pollen, Birch, Grass, Pollinosis, SILAM, Health
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8746468
- MLA
- Delcloo, Andy, et al. “Spatio-Temporal Modeling of Grass and Birch Pollen in Belgium.” ITM 2019: Air Pollution Modeling and Its Application XXVII, edited by Clemens Mensink and Volker Matthias, Springer, 2021, pp. 113–18, doi:10.1007/978-3-662-63760-9_17.
- APA
- Delcloo, A., Verstraeten, W. W., Kouznetsov, R., Bruffaerts, N., Dujardin, S., Hendrickx, M., & Sofiev, M. (2021). Spatio-temporal modeling of grass and birch pollen in Belgium. In C. Mensink & V. Matthias (Eds.), ITM 2019: Air Pollution Modeling and its Application XXVII (pp. 113–118). https://doi.org/10.1007/978-3-662-63760-9_17
- Chicago author-date
- Delcloo, Andy, Willem W. Verstraeten, Rostislav Kouznetsov, Nicolas Bruffaerts, Sébastien Dujardin, Marijke Hendrickx, and Mikhail Sofiev. 2021. “Spatio-Temporal Modeling of Grass and Birch Pollen in Belgium.” In ITM 2019: Air Pollution Modeling and Its Application XXVII, edited by Clemens Mensink and Volker Matthias, 113–18. Berlin,Heidelberg: Springer. https://doi.org/10.1007/978-3-662-63760-9_17.
- Chicago author-date (all authors)
- Delcloo, Andy, Willem W. Verstraeten, Rostislav Kouznetsov, Nicolas Bruffaerts, Sébastien Dujardin, Marijke Hendrickx, and Mikhail Sofiev. 2021. “Spatio-Temporal Modeling of Grass and Birch Pollen in Belgium.” In ITM 2019: Air Pollution Modeling and Its Application XXVII, ed by. Clemens Mensink and Volker Matthias, 113–118. Berlin,Heidelberg: Springer. doi:10.1007/978-3-662-63760-9_17.
- Vancouver
- 1.Delcloo A, Verstraeten WW, Kouznetsov R, Bruffaerts N, Dujardin S, Hendrickx M, et al. Spatio-temporal modeling of grass and birch pollen in Belgium. In: Mensink C, Matthias V, editors. ITM 2019: Air Pollution Modeling and its Application XXVII. Berlin,Heidelberg: Springer; 2021. p. 113–8.
- IEEE
- [1]A. Delcloo et al., “Spatio-temporal modeling of grass and birch pollen in Belgium,” in ITM 2019: Air Pollution Modeling and its Application XXVII, Hamburg, Germany, 2021, pp. 113–118.
@inproceedings{8746468,
abstract = {{The contribution of biogenic aerosols such as pollen to air pollution effects on the human wellbeing is substantial. Recently there is a global increase in the burden of allergic respiratory diseases. In Europe, a quarter of the population suffers from pollinosis, whereas in some countries the prevalence is over 40%. To date, pollen of various trees and grasses in Belgium are monitored by the Belgian Scientific Institute for Public Health (Sciensano) at five stations on a daily basis. This sampling is rather general and cannot retrieve the spatial representativeness of the airborne pollen into enough detail for individual use. Chemistry Transport Models (CTM’s) are able to quantify the spatial and temporal distributions of airborne pollen at different scales and frequencies. Moreover, CTM’s are useful for short-term forecasting of the intensities of pollen levels. Here we show the results of the modelled spatio-temporal distributions of grass and birch pollen over Belgium for 2008 using SILAM driven by ECMWF meteorological data, an updated MACCIII birch tree areal fraction map based on local information, and a grass pollen emission map showing the spatial distribution of the potential grass pollen sources updated with Copernicus grassland data.}},
author = {{Delcloo, Andy and Verstraeten, Willem W. and Kouznetsov, Rostislav and Bruffaerts, Nicolas and Dujardin, Sébastien and Hendrickx, Marijke and Sofiev, Mikhail}},
booktitle = {{ITM 2019: Air Pollution Modeling and its Application XXVII}},
editor = {{Mensink, Clemens and Matthias, Volker}},
isbn = {{9783662637593}},
issn = {{2213-8684}},
keywords = {{CTM,Pollen,Birch,Grass,Pollinosis,SILAM,Health}},
language = {{eng}},
location = {{Hamburg, Germany}},
pages = {{113--118}},
publisher = {{Springer}},
title = {{Spatio-temporal modeling of grass and birch pollen in Belgium}},
url = {{http://doi.org/10.1007/978-3-662-63760-9_17}},
year = {{2021}},
}
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