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Particulate matter removal by ecosystems matters: introduction of an improved model, applied to a Scots pine stand

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Abstract
Airborne fine particulate matter (PM) is responsible for the most severe health effects induced by air pollution in Europe. Vegetation, and forests in particular, can play a role in mitigating this pollution since they have a large surface area to filter PM out of the air. Many studies have solely focused on dry deposition of PM onto the tree surface, but deposited PM can be resuspended to the air or may be washed off by precipitation, dripping from the plants to the soil. It is only the latter process that represents a net-removal from the atmosphere. To quantify this removal all these processes should be accounted for, which is the case in our modeling framework. Practically, a multilayered PM removal model is developed. The considered processes are depicted in the figure below. In addition, the framework has been integrated into an existing forest growth model in order to account for changes in PM removal efficiency during forest growth. A case study was performed on a Scots pine stand in Belgium (Europe), with calculation of particulate matter removal per halfhour, resulting for 2010 in a dry deposition of 31 kg PM2.5 (PM < 2.5 µm) ha-1 yr-1 from which 76% was resuspended and 24% washed off. For different future emission reduction scenarios from 2010 to 2030, with altering PM2.5 air concentration, the avoided health costs due to PM2.5 removal was estimated to range from 915 to 1075 euro ha-1 yr-1. The presented model could even be used to predict nutrient input via particulate matter though further research is needed to improve and better validate the model. (Schaubroeck et al., 2014; Environmental Science & Technology)
Keywords
forest, particulate matter, ecosystem, modelling, ecosystem modelling, dry deposition, particulate matter removal

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Chicago
Schaubroeck, Thomas, Gaby Deckmyn, Johan Neirynck, Jeroen Staelens, Sandy Adriaenssens, Jo Dewulf, Bart Muys, and Kris Verheyen. 2016. “Particulate Matter Removal by Ecosystems Matters: Introduction of an Improved Model, Applied to a Scots Pine Stand.” In EcoSummit, 5th International, Abstracts.
APA
Schaubroeck, T., Deckmyn, G., Neirynck, J., Staelens, J., Adriaenssens, S., Dewulf, J., Muys, B., et al. (2016). Particulate matter removal by ecosystems matters: introduction of an improved model, applied to a Scots pine stand. EcoSummit, 5th International, Abstracts. Presented at the 5th International EcoSummit 2016: Ecological sustainability : engineering change.
Vancouver
1.
Schaubroeck T, Deckmyn G, Neirynck J, Staelens J, Adriaenssens S, Dewulf J, et al. Particulate matter removal by ecosystems matters: introduction of an improved model, applied to a Scots pine stand. EcoSummit, 5th International, Abstracts. 2016.
MLA
Schaubroeck, Thomas, Gaby Deckmyn, Johan Neirynck, et al. “Particulate Matter Removal by Ecosystems Matters: Introduction of an Improved Model, Applied to a Scots Pine Stand.” EcoSummit, 5th International, Abstracts. 2016. Print.
@inproceedings{8066049,
  abstract     = {Airborne fine particulate matter (PM) is responsible for the most severe health effects induced by air pollution in Europe. Vegetation, and forests in particular, can play a role in mitigating this pollution since they have a large surface area to filter PM out of the air. Many studies have solely focused on dry deposition of PM onto the tree surface, but deposited PM can be resuspended to the air or may be washed off by precipitation, dripping from the plants to the soil. It is only the latter process that represents a net-removal from the atmosphere. To quantify this removal all these processes should be accounted for, which is the case in our modeling framework. Practically, a multilayered PM removal model is developed. The considered processes are depicted in the figure below. 
In addition, the framework has been integrated into an existing forest growth model in order to account for changes in PM removal efficiency during forest growth. A case study was performed on a Scots pine stand in Belgium (Europe), with calculation of particulate matter removal per halfhour, resulting for 2010 in a dry deposition of 31 kg PM2.5 (PM {\textlangle} 2.5 {\textmu}m) ha-1 yr-1 from which 76\% was resuspended and 24\% washed off. For different future emission reduction scenarios from 2010 to 2030, with altering PM2.5 air concentration, the avoided health costs due to PM2.5 removal was estimated to range from 915 to 1075 euro ha-1 yr-1. The presented model could even be used to predict nutrient input via particulate matter though further research is needed to improve and better validate the model.
(Schaubroeck et al., 2014; Environmental Science \& Technology)},
  author       = {Schaubroeck, Thomas and Deckmyn, Gaby and Neirynck, Johan and Staelens, Jeroen and Adriaenssens, Sandy and Dewulf, Jo and Muys, Bart and Verheyen, Kris},
  booktitle    = {EcoSummit, 5th International, Abstracts},
  keyword      = {forest,particulate matter,ecosystem,modelling,ecosystem modelling,dry deposition,particulate matter removal},
  language     = {eng},
  location     = {Montpellier, France},
  title        = {Particulate matter removal by ecosystems matters: introduction of an improved model, applied to a Scots pine stand},
  year         = {2016},
}