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  • Brno and Graz, the second largest cities of their countries, observe in each winter season PM10 concentrations of daily means which regularly exceed the limit value of 50 microgram per cubic meter. This is mainly caused by unfavorable dissemination conditions of the ambient air. Hence, partial regulation measures have to be taken in Brno and Graz where specific decisions for certain regulations may be based on the average PM10 concentration of the next day provided that reliable forecasts of these values are available. For several sites in the two cities we establish forecasts of daily PM10 concentrations based on multiple linear regression and generalized linear models utilizing both measured covariates of the present day and meteorological forecasts of the next day. The comparisons, based on different quality measures demonstrate the usefulness of both model approaches as they yield results of similar quality.
  • Brno and Graz, the second largest cities of their countries, observe in each winter season PM10 concentrations of daily means which regularly exceed the limit value of 50 microgram per cubic meter. This is mainly caused by unfavorable dissemination conditions of the ambient air. Hence, partial regulation measures have to be taken in Brno and Graz where specific decisions for certain regulations may be based on the average PM10 concentration of the next day provided that reliable forecasts of these values are available. For several sites in the two cities we establish forecasts of daily PM10 concentrations based on multiple linear regression and generalized linear models utilizing both measured covariates of the present day and meteorological forecasts of the next day. The comparisons, based on different quality measures demonstrate the usefulness of both model approaches as they yield results of similar quality. (en)
Title
  • Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches
  • Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches (en)
skos:prefLabel
  • Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches
  • Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches (en)
skos:notation
  • RIV/00216224:14310/12:00064688!RIV13-MSM-14310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, Z(MSM0021622418)
http://linked.open...iv/cisloPeriodika
  • Number 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 136938
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/12:00064688
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Prediction; Forecast; PM10; Meteorologie (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • AT - Rakouská republika
http://linked.open...ontrolniKodProRIV
  • [10843FCF3A9B]
http://linked.open...i/riv/nazevZdroje
  • Austrian Journal of Statistics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • Volume 41
http://linked.open...iv/tvurceVysledku
  • Michálek, Jaroslav
  • Hübnerová, Zuzana
  • Kolář, Miroslav
  • Stadlober, Ernst
http://linked.open...n/vavai/riv/zamer
issn
  • 1026-597X
number of pages
http://localhost/t...ganizacniJednotka
  • 14310
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