Browsing by Author "Sokolovski E."

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    AIR QUALITY ASSESSMENT BASED ON LIMITED QUANTITY OF MEASURED DATA
    (2022-01-01) Ilieva N.; Predyov I.; Sokolovski E.
    This study is dedicated to the air quality monitoring regarding the allowed exceedances of PM10 daily average concentration limit. It is directed to air quality assessment in the boundary layer of the atmosphere in cases when a limited quantity of measured data is available. Such cases are typical for small and medium-sized settlements. An appropriate test whether the daily average PM10 concentration is not higher than the limit value 50 μg m−3 for at least 90.4 % of the days in the year has been proposed. It can be applied for analysis of data supplied by mobile automatic monitoring stations or indicative measurements using equivalent methods.
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    Modelling of ambient air PM2.5 concentration for air quality assessment
    (2015-01-01) Nikolova Y.; Ilieva N.; Sokolovski E.
    During the last decade special attention to the fine particles up to 2,5 μm (PM2.5) is being paid. PM2.5 is treated as a particular pollutant with strong negative impacton human health. In Bulgaria, the levels of PM2.5 are measured only at 9 monitoring stations. Therefore effective air quality monitoring regarding this pollutant can not be expected. In many cases particulate matter with aerodynamic diameter up to 10 μm (PM10) and PM2.5 have common origin. That is why it can be assumed that their concentrations in the air are related. Measured data from two of the monitoring stations ``Kopitoto`` (background) and ``Krasno Selo`` (traffic related) have been investigated. It was established that a strong correlation for ``Krasno Selo`` station exists. Conversely, for ``Kopitoto`` station the correlation is rather weak. A mathematical model has been worked out for calculation of PM2.5 concentration using PM10 concentration data. The model demonstrates good accuracy for urban background and traffic related monitoring stations.
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    Supporting the improvement of air quality management practices: The “FAIRMODE pilot” activity
    (2019-09-01) Pisoni E.; Guerreiro C.; Lopez-Aparicio S.; Guevara M.; Tarrason L.; Janssen S.; Thunis P.; Pfäfflin F.; Piersanti A.; Briganti G.; Cappelletti A.; D'Elia I.; Mircea M.; Villani M.G.; Vitali L.; Matavž L.; Rus M.; Žabkar R.; Kauhaniemi M.; Karppinen A.; Kousa A.; Väkevä O.; Eneroth K.; Stortini M.; Delaney K.; Struzewska J.; Durka P.; Kaminski J.W.; Krmpotic S.; Vidic S.; Belavic M.; Brzoja D.; Milic V.; Assimakopoulos V.D.; Fameli K.M.; Polimerova T.; Stoyneva E.; Hristova Y.; Sokolovski E.; Cuvelier C.
    This paper presents the first outcomes of the “FAIRMODE pilot” activity, aiming at improving the way in which air quality models are used in the frame of the European “Air Quality Directive”. Member States may use modelling, combined with measurements, to “assess” current levels of air quality and estimate future air quality under different scenarios. In case of current and potential exceedances of the Directive limit values, it is also requested that they “plan” and implement emission reductions measures to avoid future exceedances. In both “assessment” and “planning”, air quality models can and should be used; but to do so, the used modelling chain has to be fit-for-purpose and properly checked and verified. FAIRMODE has developed in the recent years a suite of methodologies and tools to check if emission inventories, model performance, source apportionment techniques and planning activities are fit-for-purpose. Within the “FAIRMODE pilot”, these tools are used and tested by regional/local authorities, with the two-fold objective of improving management practices at regional/local scale, and providing valuable feedback to the FAIRMODE community. Results and lessons learnt from this activity are presented in this paper, as a showcase that can potentially benefit other authorities in charge of air quality assessment and planning.