Pregled bibliografske jedinice broj: 1037457
Regional modelling and assessment of atmospheric particulate matter concentrations using EMEP and WRF Chem models at rural background locations in Europe
Regional modelling and assessment of atmospheric particulate matter concentrations using EMEP and WRF Chem models at rural background locations in Europe // HARMO 19th "Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes"
Brugge, Belgija, 2019. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni)
CROSBI ID: 1037457 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Regional modelling and assessment of atmospheric particulate matter concentrations using EMEP and WRF Chem models at rural background locations in Europe
Autori
Gašparac, Goran ; Jeričević, Amela ; Kumar, Prashant ; Grisogono Branko
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Skup
HARMO 19th "Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes"
Mjesto i datum
Brugge, Belgija, 02.05.2019. - 07.05.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Numerical modeling, Air quality, PM10, WRF-Chem, Model validation
Sažetak
The application of regional-scale air quality models is an important tool in air quality assessment and management. For this reason, the understanding of model abilities and performances is mandatory. The main objective of this research was to investigate the spatial and temporal variability of background particulate matter (PM) concentrations, to evaluate the regional air quality modelling performance in simulating PM concentrations during statically stable conditions and to investigate processes that contribute to regionally increased PM concentrations with a focus on Eastern and Central Europe. The temporal and spatial variability of observed particulate matter (PM) was analysed at 310 rural background stations in Europe during 2011. Two different regional air quality modelling systems (offline coupled EMEP and online coupled Weather Research and Forecast- Chem) were applied to simulate the transport of pollutants and to further investigate the processes that contributed to increased concentrations during high pollution episodes. Background PM measurements from rural background stations and wind speed, surface pressure and ambient temperature data from 920 meteorological stations across Europe, classified according to the elevation, were used for the evaluation of individual model performance. Among the sea-level stations (up to 200 m), the best modelling performance, in terms of meteorology and chemistry, was found for both models. The underestimated modelled PM concentrations in some cases indicated the importance of accurate assessment of regional air pollution transport under statically stable atmospheric conditions and the necessity of further model improvements.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Geofizika, Interdisciplinarne prirodne znanosti
POVEZANOST RADA
Ustanove:
Državni hidrometeorološki zavod,
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