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Open access

Bogdan Alexandru Maco, Nicoleta Ionac and Rodica Claudia Dumitrache

Abstract

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, www.tno.nl) database for 2009. The meteorological parameters required by the weather forecast model were obtained from the numerical output of the ECMWF (www.ecmwf.int) 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).

Open access

Tudorache George-Stelian, Ionac Nicoleta, Maco Bogdan and Manea Ancuța

Abstract

The metadata are defined as the informations behind the data. The purpose of the metadata in meteorological activity is to represent where, when, how and by whom meteorological data has been obtained, colected and recorded. Ideally, a comprehensive metadata base should contain records of all changes that have occured throughout the entire period in which the meteorological station has functioned, the so called „station history”. This paper renders the preliminary results of the analysed wind parameter values (percentages of wind calm and wind frequency) for the time period between 1961 and 2015 at Iași meteorological station. The data were analysed based on various historical metadata information (e.g. the emergence of new construction(s) around the station, relocation of the station, changes in the equipment used to measure the wind etc.), information that may influence the wind parameters measured at Iași weather station.