Detail publikace

Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches

STADLOBER, E. HÜBNEROVÁ, Z. MICHÁLEK, J. KOLÁŘ, M.

Originální název

Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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. Our prediction models may support future decisions concerning possible traffic restrictions or other regulations.

Klíčová slova

Prediction, Forecast, PM10, Multiple Linear Regression, Generalized Linear Model, Meteorology

Autoři

STADLOBER, E.; HÜBNEROVÁ, Z.; MICHÁLEK, J.; KOLÁŘ, M.

Vydáno

9. 12. 2012

Místo

Graz, Rakousko

ISSN

1026-597X

Periodikum

Austrian Journal of Statistics

Ročník

41

Číslo

4

Stát

Rakouská republika

Strany od

287

Strany do

310

Strany počet

23

BibTex

@article{BUT96694,
  author="Ernst {Stadlober} and Zuzana {Hübnerová} and Jaroslav {Michálek} and Miroslav {Kolář}",
  title="Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches",
  journal="Austrian Journal of Statistics",
  year="2012",
  volume="41",
  number="4",
  pages="287--310",
  issn="1026-597X"
}