University of Worcester Worcester Research and Publications

Application of Chemical Dispersion Model During a High Ozone Episode in South-West Poland

Wałaszek, K., Kryza, M. and Werner, Malgorzata (2016) Application of Chemical Dispersion Model During a High Ozone Episode in South-West Poland. International Journal of Environment and Pollution, 58 (1/2). pp. 124-139. ISSN Print: 0957-4352 Online: 1741-5101

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In this study, the Weather Research and Forecasting model with chemistry (WRF-Chem v3.5) is applied to the area of Poland, for a period of 03.07-03.08.2006, when high concentrations of ground level ozone were observed. The meteorological and chemistry simulations were initiated with the ERA-Interim reanalysis and the TNO MACC-II emissions database. Simulations were performed for three one-way nested domains. The results from the innermost domain were examined and compared to measurements of ozone concentrations and meteorological variables. The modelled results show a general underestimation of measured ozone concentrations. For urban and suburban sites it is significantly higher during day time. Domain-wide estimations of temperature were also underestimated, and relative humidity and wind speed were overpredicted. The results may be further improved by adjusting physical parameterisations and including a more detailed emission input data into the model.

Item Type: Article
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Uncontrolled Discrete Keywords: air quality, air pollution, tropospheric ozone, WRF-Chem, Poland, model evaluation, chemical transport modelling, meteorological models, photochemical smog, critical levels, atmospheric dispersion modelling, simulation, ozone concentrations, temperature estimations, humidity, wind speed, pollutant emissions
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > Q Science (General)
Divisions: College of Health, Life and Environmental Sciences > School of Science and the Environment
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Depositing User: Malgorzata Werner
Date Deposited: 08 Jul 2019 10:25
Last Modified: 17 Jun 2020 17:30

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