Spatio-Temporal Monitoring and Modelling of Birch Pollen in Belgium

Andy Delcloo, Willem W. Verstraeten, Sebastien Dujardin, Nicolas Bruffaerts, Marijke Hendrickx, Rafiq Hamdi, Mikhail Sofiev

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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.

langue originaleAnglais
titreAir Pollution Modeling and its Application XXVI
rédacteurs en chefClemens Mensink, Wanmin Gong, Amir Hakami
Nombre de pages5
ISBN (Electronique)978-3-030-22055-6
ISBN (imprimé)9783030220549
Les DOIs
Etat de la publicationPublié - 1 janv. 2020
Evénement36th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2018 - Ottawa, Canada
Durée: 14 mai 201818 mai 2018

Série de publications

NomSpringer Proceedings in Complexity
ISSN (imprimé)2213-8684
ISSN (Electronique)2213-8692

Une conférence

Une conférence36th International Technical Meeting on Air Pollution Modeling and its Application, ITM 2018
La villeOttawa

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