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Statements

Subject Item
n2:RIV%2F00216224%3A14310%2F12%3A00064688%21RIV13-MSM-14310___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
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.
dcterms: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
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
skos:notation
RIV/00216224:14310/12:00064688!RIV13-MSM-14310___
n12:predkladatel
n13:orjk%3A14310
n4:aktivita
n17:I n17:Z
n4:aktivity
I, Z(MSM0021622418)
n4:cisloPeriodika
Number 4
n4:dodaniDat
n8:2013
n4:domaciTvurceVysledku
n7:6357024 n7:5171857 n7:7972113
n4:druhVysledku
n15:J
n4:duvernostUdaju
n5:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
136938
n4:idVysledku
RIV/00216224:14310/12:00064688
n4:jazykVysledku
n14:eng
n4:klicovaSlova
Prediction; Forecast; PM10; Meteorologie
n4:klicoveSlovo
n6:Forecast n6:PM10 n6:Meteorologie n6:Prediction
n4:kodStatuVydavatele
AT - Rakouská republika
n4:kontrolniKodProRIV
[10843FCF3A9B]
n4:nazevZdroje
Austrian Journal of Statistics
n4:obor
n18:DG
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n8:2012
n4:svazekPeriodika
Volume 41
n4:tvurceVysledku
Michálek, Jaroslav Stadlober, Ernst Hübnerová, Zuzana Kolář, Miroslav
n4:zamer
n19:MSM0021622418
s:issn
1026-597X
s:numberOfPages
24
n9:organizacniJednotka
14310