Auflistung nach Autor:in "Voukantsis, Dimitris"
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- KonferenzbeitragICT Technologies and Somputational Intelligence Methods for the Creation of an Early Warning Air Pollution Information System(Environmental Informatics and Industrial Ecology, 2008) Karatzas, Kostas D.; Bassoukos, Anastasios; Voukantsis, Dimitris; Tzima, Fani; Nikolaou, Kostas; Karathanasis, StavrosContemporary air quality management calls for effective, and in advance, AQ information dissemination. Such dissemination requires for communication that should not be based solely on written or oral language forms, but should make use of graphical, symbolical and multimedia language communication schemes, via available communication channels. Previous experiences and published research results indicate that the content of environmental information systems should include both real time information and forecasting for key parameters of interest, like the maximum concentration values of air pollutants. The latter are difficult to achieve, as air quality forecasting requires both domain expertise and modelling skills for the complicated phenomenon of atmospheric pollution. One of the ways to address this need and to extract useful knowledge for better forecasting and understanding of air pollution problems, is the application of Computational Intelligence (CI) methods and tools. The present paper discusses the creation of an environmental information portal for the dissemination of air quality information and warnings, for the city of Thessaloniki, Greece. The system is developed with the aid of state-of-the art, web-based technologies, including modular, on the fly software integration to operating applications, and implements CI for the forecasting of parameters of interest. In addition, observation data are made accessible to the public via an internet-based, graphics environment that deploys open source geographic information services.
- KonferenzbeitragInvestigation of relationships and interconnections between Pollen and Air Quality data with the aid of Computational Intelligence Methods(Environmental Informatics and Industrial Environmental Protection: Concepts, Methods and Tools, 2009) Voukantsis, Dimitris; Karatzas, Kostas; Rantio-Lehtimaki, Auli; Sofiev, MikhailThe impact of airborne pollen to human health has been recognized as being important, while several studies are suggesting that the synergy between high pollen concentrations and air pollutants may induce and exacerbate allergic reactions, thus affecting overall quality of life of citizens. In this paper, the detailed pollen, air quality and meteorological data for the years 2006 and 2007, for the city of Kuopio (Finland) were analyzed using Self Organizing Maps (SOM) and k-Means clustering, in order to identify complex, non-linear relations and interconnections within the data. The results obtained indicate that there are strong correlations between pollen concentrations of particular species (Birch, Alder and Spruce) with air pollutant concentration, such as Particulate Matter (PM10) and Ozone (O3). Furthermore, pollen concentrations were identified to be strongly dependent on meteorological parameters, indicating negative correlation with humidity and positive correlation with temperature, solar radiation, atmospheric pressure and wind speed for some pollen species. The methodology applied was capable of identifying and quantifying the interconnections between certain pollen and air quality parameters, resulting to crucial information that could be facilitated in the area of synergy investigations between pollen and air pollution.