The 10th Conference was held in Sissi, Crete, 17-20 October 2005.
- Criteria for the assessment of air quality levels in homogeneous areas
- Simulations of the dispersion from a waste incinerator in the Turin area in three different meteorological scenarios
- Particulate matter dispersion modelling along urban traffic paths
- Turbulence closure in atmospheric circulation model and its influence on the dispersion
- Well mixed condition verification in windy and low wind speed conditions
- Comparison of the Polish regulatory dispersion model with AERMOD
- A neural net-air dispersion model validation study using the Indianapolis urban data set
- An urban scale model for pollutant dispersion in Rome
- Analyses of human exposure to urban air quality in a children population
- Urban boundary layer simulations of sea-breeze over Marseille during the ESCOMPTE experiment
- Meteorological simulations with use of satellite data for assessing urban heat island under summertime anticyclonic conditions
- Application and intercomparison of the RADM2 and RACM chemistry mechanism including a new isoprene degradation scheme within the regional meteorology-chemistry-model MCCM
- Assessment of air pollution in the conurbation of Munich: present and future
- Application of Lagrangian particle dispersion models to air quality assessment in the Trans-Manche region of Nord-Pas-de-Calais (France) and Kent (Great Britain)
- Consolidating tools for model evaluation
- Air pollution dispersion inside a street canyon of Gottinger Strasse (Hannover, Germany): new results of the analysis of full scale data
- Effects of air pollution and meteorological parameters on human health in the city of Athens, Greece
- Comparison of AERMOD and EIAA with respect to the Alaska tracer data
- Hospital admissions and air mass types in Athens, Greece
- Inter-comparison of predicted population exposure distributions during four selected episodes in Helsinki and evaluation against measured data
- Inter-comparison of the AUSTAL2000 and CALPUFF dispersion models against the Kincaid data set
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