Meteorological Elements Used in the Numerical Forecast of PM10 Over the Romanian Territory

Open access


Pollutants in large amounts may not only cause severe health problems and damage crops, but may also represent one of the main causes of global warming. Air quality numerical models are very useful tools in forecasting air pollutants transport and spread. Consequently, this paper analyzes the regional concentration of PM10 (a geographical domain representative of Romania’s territory), by using the numerical air quality forecasting model: WRF-CHEM version 3.5. The respective model has been applied on a Romania-centered upon geographical area, for both the two months representative of the warm and cold seasons (June and January 2013, respectively), at a spatial resolution of 10 km, with a 24 hours’ anticipation. For the WRF-CHEM chemistry module to be initiated, values of PM10 emissions were extracted from the TNO (Nederlandse Organisatie voor toegepast natuurwetenschappelijk onderzoek, database for 2009. The meteorological parameters required by the weather forecast model were obtained from the numerical output of the ECMWF ( global model. All these meteorological parameters are very important for air quality simulations, especially wind profiles, which are very important assessment tools since they determine where pollutants are transported, and air-temperature as it may largely influence the speed of chemical reactions in the atmosphere. The vertical diffusion is strongly linked to the height of the mixing layer and influences the exchange between the ground layers and the open troposphere. In order to highlight the quality of the numerical forecasts for PM10 from the WRF-CHEM model, the results obtained were compared to the measurements obtained through gravimetric methods (average daily values of PM10). Hence, specific measurements were provided by the National Environmental Protection Agency (ANPM).

A. de Meij, P. Thunis, B. Bessagnet, C. Cuvelier, 2008 - The sensitivity of the CHIMERE model to emissions reduction scenarios on air quality in Northern Italy. Atmospheric Environment 43, 1897-1907

Bocquet, M., 2012 - Parameter field estimation for atmospheric dispersion: Applications to the Chernobyl accident using 4D-Var, Q.J. R. Meteorol. Soc., 138, 664-681

European Environment Agency, 2014 - Air quality in Europe - 2014 report, ISSN 1977-8449

Hirtl M., Mantovani S., Krüger B.C., and Triebnig G., 2012 - AQA-PM: Extension of the Air-Quality model for Austria with satellite based Particulate Matter estimates. Geophysical Research Abstracts Vol. 14, EGU2012-1846, 2012 EGU General Assembly 2012

Hirtl M., Mantovani S., Krüger B.C., Triebnig G. and Flandorfer Claudia, 2013 - AQA-PM: Extension of the Air-Quality Model For Austria with Satellite based Particulate Matter Estimates, Geophysical Research Abstracts Vol. 15, EGU2013-3915, 2013 EGU General Assembly 2013

Poschl, U., 2005 - Atmospheric Aerosols: Composition, Transformation, Climate and Health Effects. Angew. Chem. Int. Ed., 44, 7520 - 7540

Žabkar R., Honzaka L., Skok G., Forkel R., Rakovec J., Ceglar A., Žagar N., 2015 - Evaluation of the high resolution WRF-Chem (v3.4.1) air quality forecast and its comparison with statistical ozone predictions. IN: Geosci. Model Dev., 8, 2119-2137

Shiraiwa M., Selzle K., Pöschl U., 2012 - Hazardous components and health effects of atmospheric aerosol particles: reactive oxygen species, soot, polycyclic aromatic compounds and allergenic proteins. IN: Free Radic Res. 2012 Aug; 46(8):927-39. Epub 2012 Apr 23

Xuexi Tiea, Sasha Madronicha, GuoHui Lib, Zhuming Yingc, Renyi R. Garciad, Julia Lee-Taylora, Yubao Liua, 2006 - Characteriz aZtihoanns gobf , cAhegmusictianl oxidants in Mexico City: A regional chemical dynamical model (WRF-Chem) study. IN: Atmospheric Environment Volume 41, Issue 9, Pages 1989-2008.

Journal Information


All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 149 149 19
PDF Downloads 46 46 11