Abstract
Air quality is primordially affected by anthropogenic emissions and has a tremendous impact on human health with more than 6 million premature deaths worldwide in 2015 (Landrigan et al. in The Lancet Commission on pollution and health, 2017) [3]. Biogenic emissions of aerosols such as pollen also impact the human wellbeing. The industrialized world suffers from a global increase in the burden of allergic respiratory diseases. Air pollution can influence both allergens and allergic subjects by increasing the immune reaction, and/or by an intensified biogenic emissions. 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 sparse sampling cannot cover the spatial representativeness of the airborne pollen. Chemistry Transport Models (CTM’s) are therefore an interesting tool to both quantify and forecast its spatial and temporal distribution. Here we show the results of the spatio-temporal modelled birch pollen over Belgium using the CTM SILAM. This model is driven by 2008 ECMWF meteorological data and a MACC-III birch tree fraction map showing the spatial distribution of potential pollen sources. Pollen modelling is based on the temperature degree days approach.
| Original language | English |
|---|---|
| Title of host publication | Air Pollution Modeling and its Application XXVI |
| Editors | Clemens Mensink, Wanmin Gong, Amir Hakami |
| Publisher | Springer |
| Pages | 71-75 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-3-030-22055-6 |
| ISBN (Print) | 9783030220549 |
| DOIs | |
| Publication status | Published - 1 Jan 2020 |
| Event | 36th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2018 - Ottawa, Canada Duration: 14 May 2018 → 18 May 2018 |
Publication series
| Name | Springer Proceedings in Complexity |
|---|---|
| ISSN (Print) | 2213-8684 |
| ISSN (Electronic) | 2213-8692 |
Conference
| Conference | 36th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2018 |
|---|---|
| Country | Canada |
| City | Ottawa |
| Period | 14/05/18 → 18/05/18 |
Fingerprint
Keywords
- Birch
- CTM
- Health
- Pollen
- SILAM
Cite this
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Spatio-Temporal Monitoring and Modelling of Birch Pollen in Belgium. / Delcloo, Andy; Verstraeten, Willem W.; Dujardin, Sebastien; Bruffaerts, Nicolas; Hendrickx, Marijke; Hamdi, Rafiq; Sofiev, Mikhail.
Air Pollution Modeling and its Application XXVI. ed. / Clemens Mensink; Wanmin Gong; Amir Hakami. Springer, 2020. p. 71-75 (Springer Proceedings in Complexity).Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Spatio-Temporal Monitoring and Modelling of Birch Pollen in Belgium
AU - Delcloo, Andy
AU - Verstraeten, Willem W.
AU - Dujardin, Sebastien
AU - Bruffaerts, Nicolas
AU - Hendrickx, Marijke
AU - Hamdi, Rafiq
AU - Sofiev, Mikhail
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Air quality is primordially affected by anthropogenic emissions and has a tremendous impact on human health with more than 6 million premature deaths worldwide in 2015 (Landrigan et al. in The Lancet Commission on pollution and health, 2017) [3]. Biogenic emissions of aerosols such as pollen also impact the human wellbeing. The industrialized world suffers from a global increase in the burden of allergic respiratory diseases. Air pollution can influence both allergens and allergic subjects by increasing the immune reaction, and/or by an intensified biogenic emissions. 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 sparse sampling cannot cover the spatial representativeness of the airborne pollen. Chemistry Transport Models (CTM’s) are therefore an interesting tool to both quantify and forecast its spatial and temporal distribution. Here we show the results of the spatio-temporal modelled birch pollen over Belgium using the CTM SILAM. This model is driven by 2008 ECMWF meteorological data and a MACC-III birch tree fraction map showing the spatial distribution of potential pollen sources. Pollen modelling is based on the temperature degree days approach.
AB - Air quality is primordially affected by anthropogenic emissions and has a tremendous impact on human health with more than 6 million premature deaths worldwide in 2015 (Landrigan et al. in The Lancet Commission on pollution and health, 2017) [3]. Biogenic emissions of aerosols such as pollen also impact the human wellbeing. The industrialized world suffers from a global increase in the burden of allergic respiratory diseases. Air pollution can influence both allergens and allergic subjects by increasing the immune reaction, and/or by an intensified biogenic emissions. 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 sparse sampling cannot cover the spatial representativeness of the airborne pollen. Chemistry Transport Models (CTM’s) are therefore an interesting tool to both quantify and forecast its spatial and temporal distribution. Here we show the results of the spatio-temporal modelled birch pollen over Belgium using the CTM SILAM. This model is driven by 2008 ECMWF meteorological data and a MACC-III birch tree fraction map showing the spatial distribution of potential pollen sources. Pollen modelling is based on the temperature degree days approach.
KW - Birch
KW - CTM
KW - Health
KW - Pollen
KW - SILAM
UR - http://www.scopus.com/inward/record.url?scp=85076780041&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22055-6_12
DO - 10.1007/978-3-030-22055-6_12
M3 - Conference contribution
AN - SCOPUS:85076780041
SN - 9783030220549
T3 - Springer Proceedings in Complexity
SP - 71
EP - 75
BT - Air Pollution Modeling and its Application XXVI
A2 - Mensink, Clemens
A2 - Gong, Wanmin
A2 - Hakami, Amir
PB - Springer
ER -