THE USE OF SPATIAL DATA PROCESSING TOOLS FOR AIR QUALITY ASSESSMENTS - PRACTICAL EXAMPLES

• Authors: Kobus Dominik , Kostrzewa Jakub
• Languages of publication: EN

Abstracts

EN

In this article the potential applications of GIS systems in the management of air quality are discussed. In particular two specific issues are described: determining the spatial representativeness of air quality monitoring stations and areas of standards exceedances. The methods using spatial and emission data, as well as, the results of measurements, i.e. Land Use Regression method and so-called Beta parameter method are presented. The first one is based on the regression models in which mentioned information may be treated as independent data and, as a result, we obtain information on the levels of pollutant concentrations in point and space. The second method involves the parameterization of the spatial characteristics selected on the basis of the monitoring and emission data. These methods can find practical application in the field of air quality monitoring, assessment and the preparation of a public web presentation.

Keywords

EN

air quality; environmental monitoring; geographic information systems; spatial data processing; decision support systems

• Publisher: Katedra Informatyki Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Information Systems in Management
• Year: 2015
• Volume: 4
• Issue: 4
• Pages: 251-263

Dates

published

2015

Contributors

author

Kobus Dominik

• Air Quality Monitoring Department, Institute of Environmental Protection - National Research Institute (IOS-PIB)

author

Kostrzewa Jakub

• Air Quality Monitoring Department, Institute of Environmental Protection - National Research Institute (IOS-PIB)

References

• Iwanek J., Kostrzewa J., Kobus D., Mitosek G., Parvi R., Ocena jakości powietrza w strefach w Polsce za rok 2013. Zbiorczy raport krajowy z rocznej oceny jakości powietrza w strefach wykonywanej przez WIOŚ wg zasad określonych w art. 89 ustawy-Prawo ochrony środowiska, Inspekcja Ochrony Środowiska, Warszawa 2014, http://www.powietrze.gios.gov.pl
• Bosch P., Gabrielson P., Environmental indicators: Typology and use in reporting, EEA, Copenhagen 2003
• Kristensen P., The DPSIR Framework, National Environmental Research Institute, Denmark Department of Policy Analysis, European Topic Centre on Water, European Environment Agency, 2004
• Janssen, S., Dumont, G., Fierens, F., Deutsch F., Maiheu B., Celis D., Trimpeneers E., Mensink, C.,. Land use to characterize spatial representativeness of air quality monitoring stations and its relevance for model validation, Atmospheric Environment 2012 no. 59, pp. 492-500
• Spangl, W., Schneider, J., Moosmann, L., Nagl, C., Final report, Representativeness and classification of air quality monitoring stations, Umweltbundesamt GmbH (Ed.), Report REP-0121, Vienna, 2007
• Kobus D., Systemy wspomagania decyzji w zarządzaniu środowiskiem i informacji publicznej oparte na monitoringu jakości powietrza, Ochrona Środowiska i Zasobów Naturalnych, nr 34, Instytut Ochrony Środowiska-PIB, Warszawa 2008
• Kobus D., Skotak K., The conception of decision support system for assessment and management of ambient air quality, Information Systems in Management, 2012, Vol.1, no. 4, pp. 305-317
• Mukerjee S., Smith L., Johnson M., Neas L., Stallings C., Spatial analysis and land use regression of VOCs and NO2 from school-based urban air monitoring in Detroit/Dearborn, USA , Science of the Total Environment 2009 no. 407, pp. 4642–4651
• Górecki T., Podstawy statystyki przykładami w R, Wydawnictwo BTC, Legionowo 2011
• Janssen, S., Dumont, G., Fierens, F., Mensink, C., Spatial interpolation of air pollution measurements using CORINE land cover data, Atmospheric Environment 2008 no. 42, pp. 4884-4903

Identifiers

ISSN

2084-5537