Page 24 - Çevre Şehir ve İklim Dergisi İngilizce - Özel Sayı
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Breath: the Source of Life
                                 “Air Quality Modelling Applications”





























             Figure 3-Representative sample of the HEY Portal National PM (particulate matter)
                               Emissions Distribution Map (tons/year)
               The completed emission distribution process data set is used as an input
            to air quality modelling.

                The Ministry of Environment, Urbanisation and Climate Change has installed
            and functioned 2 servers with 100-core dual-processor in the data center in
            order to use them in air quality modelling applications. An operational team
            consisting of four persons to monitor the models is actively working. The
            modelling module of the HEY portal is able to trigger the models installed on
            the Ministry servers with the queue structure and analyse the result.
               Open  source  Weather  Research  Forecast  (WRF)  –  CMAQ  (Community
            Multiscale  Air  Quality  Modelling)  duo  has  been  preferred  as  modelling
            applications. The emission data, of which the temporal and spatial distribution
            have been completed, are used as inputs of the CMAQ air quality model.
            WRF  models  generate  data  for  the  same  domain  and  support  the  CMAQ
            model with meteorological data. As a result of the modelling studies, national
            and regional air quality maps are obtained with hourly/ daily/monthly/annual
            temporal  resolution.  Emission  distribution  and  strategic  air  quality  maps
            produced at km resolution with the HEY portal are sufficient and useful to
            interpret the impact of national-level policies on air quality. The air quality
            modelling outputs produced at 36, 12 and 4 km resolutions for the years 2018-
            2023 are stored in the data center archive. The historical data set is beneficial
            both in interpreting the trends and in determining the air pollution episodes.



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                                                                    Special Issue / 2024
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