Study of Pollutants Dispersion in Complex Orography Area of Zakopane-Katowice-Krakow-Kielce


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This work is a summary of the activities and results obtained in the study of the pollutant dispersion over the Zakopane-Katowice-Krakow-Kielce area in complex orography. It is a component of WP4 (Air Quality Modelling), of the Krakow project “From toxic emissions to health effects: An integrated emissions, air quality and health impacts case study in Krakow, Poland”. This paper presents the methodology for the atmospheric dispersion and transport study, which is mainly based on the available emission inventories, measured concentrations and meteorological data.

The air quality assessment covers the gas pollutants: SO2, NO, NO2 and ozone. For the atmospheric dispersion of air pollutants study passive tracers were used as emissions input in addition to the EMEP emission inventory and the emission inventory for Krakow. Based on the results of the air pollutants atmospheric dispersion passive tracers study, the JRCIMSAQ was applied for D1, D2 and D3. The EMEP emission inventory and the available emissions from various sources in the Krakow have been used to generate the input for the JRC – IMSAQ.

The available emission inventory for Krakow included point sources, traffic and heating area sources. Due to the relatively poor quality of the emission inventory (old and incomplete), it was used in this work only for setting up the JRC-IMSAQ. For the large domains only the EMEP emission inventory has been used. For D3 the TAPOM model was applied for two different scenarios: 1. with EMEP emission inventory and 2. with the Krakow emission inventory for the city area and EMEP emission inventory for the rest of the domain.

Air Quality Monitoring stations from the region have been selected and the air quality measurement data have been analyzed for the period 15,16,17 December 2002. The measured concentrations were evaluated and compared with estimations of the Air Quality Model. In chapter 5 a qualitative analysis of the data is presented.

Meteorological data were obtained by running MM5 for the above-mentioned period. The output of MM5 has provided the meteorological input for the Air Quality Model. The model was run with hourly emission data generated by an emission Pre-Processors for stack and ground emissions. For the purpose of this work and because the lack of specific time variation factors for this region, we have used the monthly, daily and hourly time variation factors that characterize the emissions of Berlin city (Cuvelier et al., 2005).

The boundary and initial conditions were estimated from the mother domains to the daughter domains running the model with EMEP emission inventory. The ozone initial conditions for D1 were estimated based on measurements made at EMEP stations.

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