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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DG - Atmospheric sciences, meteorology

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database