Modelling concentrations of airborne primary and secondary PM10 and PM2.5 with the BelEUROS-model in Belgium

Deutsch, Felix; Vankerkom, Jean; Janssen, L.H.J.M.; Janssen, Stijn; Bencs, László; Grieken, R. Van; Fierens, Frans; Dumont, Gerwin; Mensink, Clemens

doi:10.1016/j.ecolmodel.2008.06.003

Cited by 12 publications

(3 citation statements)

References 10 publications

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“…Every five year (2015, 2020, 2025, 2030) PM concentrations were predicted for 3 × 3 km grids in Flanders for two alternative scenarios as was done in Van steertegem . This was done based on the integrated approach of Deutsch et al in which the outcomes of the BelEUROS model, the integrated Eulerian air quality modeling system for European Operational Smog adapted to model PM in Belgium, was interpolated with RIO, Residual Interpolation Optimized for ozone and extended to other pollutants, , for the year 2007. These were renormalized to the measured value of 2010.…”

Section: Methodsmentioning

confidence: 99%

Multilayered Modeling of Particulate Matter Removal by a Growing Forest over Time, From Plant Surface Deposition to Washoff via Rainfall

Schaubroeck

Deckmyn

Neirynck

et al. 2014

Environ. Sci. Technol.

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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 for forest canopies is developed. 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), 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.

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Section: Methodsmentioning

confidence: 99%

Multilayered Modeling of Particulate Matter Removal by a Growing Forest over Time, From Plant Surface Deposition to Washoff via Rainfall

Schaubroeck

Deckmyn

Neirynck

et al. 2014

Environ. Sci. Technol.

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“…Urban-related particle emission includes fine particle (PM 2.5 ), which well-known as particulate matter with an aerodynamic diameter less than 2.5 µm at surrounding bus station and correlation of the human health impact have been studied in several studies (Asmi et al, 2009;Shandilya and Kumar, 2010). Additionally, the air quality modeling has been employed to investigate the association between various factors-meteorological condition, chemical reaction, and also the emission sources, which contributed to airborne PM 2.5 (Deutsch et al, 2008) in fixed monitoring sites. However, the fixed monitoring stations are not designed to represent micro-scale impacts and the outcome might not be precisely described the local circumstance (Dons et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Reduction of Atmospheric PM2.5 Level by Restricting the Idling Operation of Buses in a Busy Station

Lee

Lin

Aniza

et al. 2017

Aerosol Air Qual. Res.

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Fine particulate matter (PM 2.5 ) has been found to be harmful when inhaled by people, which has caused enormous health problems. It is found at high levels at public bus stations, where many passengers and workers may be exposed to PM 2.5 emissions from idling diesel engines. This study evaluated the restriction on idling vehicles as a strategy to control PM 2.5 levels at bus stations by measuring the PM 2.5 and the chemical properties at both upwind and exposure sites for comparable data. The sampling took place on weekends and weekdays and before and after the idling restriction was applied. Originally, the exposure site showed a PM 2.5 level that was 7% higher, non-neutralized nitrate content, anthropogenic metal elements, and higher mobile source contributions, as evaluated by a chemical mass balance model (CMB8.2). After the prohibition on idling heavy-duty diesel vehicles, the PM 2.5 mass concentrations at the exposure site were reduced to levels comparable to those at the upwind site. Additionally, the nitrate content was reduced in the background. Moreover, the contributions of several anthropogenic metals (Zn, Pb, Mn, Cu, Cr, V, Ni, and Ti) in PM 2.5 were reduced while those of crustal elements (Na, Mg, Al, K, and Ca) significantly increased after the restriction. Finally, the mobile contribution decreased to only 33.7-34.5%. Consequently, these findings verify that the prohibition policy on idling vehicles works well as a control strategy to manage the PM 2.5 emissions at local hotspots such as bus stations.

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“…The Lake Baikal area is dominated by the influence of the massive fresh water reserves and can be characterized by low population density, limited industrial activities and boreal forests. The Antwerp area on the other hand is located in one of the most densely populated regions in Europe, Flanders, where a concentration of road transport, industrial as well as agricultural activities give rise to high aerosol concentrations, notably in the form of elevated concentrations of PM 10 and PM 2.5 (Deutsch et al, 2008a). Being at the cross road of European North-South and East-West transportation routes, transport emissions are dominant contributors of PM 2.5 and PM 10 in the Antwerp ambient atmosphere.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Regional Dynamics of Gaseous Admixtures and Aerosols in the Areas of Lake Baikal (Russia) and Antwerp (Belgium)

Aloyan

Arutyunyan

Yermakov

et al. 2012

Aerosol Air Qual. Res.

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A combined mathematical model was developed for the regional-scale dynamics of gaseous admixtures and aerosols in the atmosphere. The model incorporates the following modules: thermo-hydrodynamic equations for meso-scale atmospheric processes in the non-hydrostatic approximation; transport of gaseous admixtures and aerosols, with allowance for photochemical transformation and binary homogeneous nucleation; and kinetic processes of condensation/evaporation and coagulation. Particular emphasis is given to the mechanisms of new-particle formation through binary homogeneous nucleation of drops of sulfuric acid and water vapor. By using this model, numerical experiments were performed to investigate spatio-temporal variations in the concentrations of gaseous admixtures and aerosols, as well as the formation of fine aerosol clusters in the Lake Baikal (Russia) and Antwerp (Belgium) areas due to strong industrial emission sources. The results of the numerical experiments are analyzed.

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Modelling concentrations of airborne primary and secondary PM10 and PM2.5 with the BelEUROS-model in Belgium

Cited by 12 publications

References 10 publications

Multilayered Modeling of Particulate Matter Removal by a Growing Forest over Time, From Plant Surface Deposition to Washoff via Rainfall

Multilayered Modeling of Particulate Matter Removal by a Growing Forest over Time, From Plant Surface Deposition to Washoff via Rainfall

Reduction of Atmospheric PM2.5 Level by Restricting the Idling Operation of Buses in a Busy Station

Modeling the Regional Dynamics of Gaseous Admixtures and Aerosols in the Areas of Lake Baikal (Russia) and Antwerp (Belgium)

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