Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Forecasting of Daily PM10 Concentrations in Brno and Graz by Different Regression Approaches
Original language 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 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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DG - Atmospheric sciences, meteorology
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Austrian Journal of Statistics
ISSN
1026-597X
e-ISSN
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Volume of the periodical
Volume 41
Issue of the periodical within the volume
Number 4
Country of publishing house
AT - AUSTRIA
Number of pages
24
Pages from-to
287-310
UT code for WoS article
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EID of the result in the Scopus database
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