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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F12%3A00064688" target="_blank" >RIV/00216224:14310/12:00064688 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 forecastsof the next day. The comparisons, based on different quality measures demonstrate the usefulness of both model approaches as they yield results of similar quality.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 forecastsof the next day. The comparisons, based on different quality measures demonstrate the usefulness of both model approaches as they yield results of similar quality.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Austrian Journal of Statistics

ISSN

1026-597X

e-ISSN

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Svazek periodika

Volume 41

Číslo periodika v rámci svazku

Number 4

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

24

Strana od-do

287-310

Kód UT WoS článku

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EID výsledku v databázi Scopus

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