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Description
  • Ambient air quality assessment and management plays an important role in the current European Union policy. Among others, air pollution by PM10 is being monitored. A previous analysis of PM10 (Hrdličková et. al, 2008) aimed at identifying factors affecting air pollution in stations in the City of Brno using available observed meteorological variables. However, the studied model cannot be used for predicting the level of PM10 pollution because the included meteorological variables are not available exactly at the time when the prediction is requested. In that case, we should base the predictions on available predicted variables, namely on temperature, wind direction, wind speed, and cloud cover. A comparison of obtained predictions with the observed values of PM10 during a testing period allows us to evaluate a loss of prediction quality when the predicted covariates are used instead of the observed ones. The presented analysis based on test of symmetry and test of homogeneity of the marginal distri
  • Ambient air quality assessment and management plays an important role in the current European Union policy. Among others, air pollution by PM10 is being monitored. A previous analysis of PM10 (Hrdličková et. al, 2008) aimed at identifying factors affecting air pollution in stations in the City of Brno using available observed meteorological variables. However, the studied model cannot be used for predicting the level of PM10 pollution because the included meteorological variables are not available exactly at the time when the prediction is requested. In that case, we should base the predictions on available predicted variables, namely on temperature, wind direction, wind speed, and cloud cover. A comparison of obtained predictions with the observed values of PM10 during a testing period allows us to evaluate a loss of prediction quality when the predicted covariates are used instead of the observed ones. The presented analysis based on test of symmetry and test of homogeneity of the marginal distri (en)
Title
  • Analysis of daily average PM10 predictions by generalized linear models in Brno, Czech Republic
  • Analysis of daily average PM10 predictions by generalized linear models in Brno, Czech Republic (en)
skos:prefLabel
  • Analysis of daily average PM10 predictions by generalized linear models in Brno, Czech Republic
  • Analysis of daily average PM10 predictions by generalized linear models in Brno, Czech Republic (en)
skos:notation
  • RIV/00216305:26210/14:PU112287!RIV15-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, S
http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 2645
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/14:PU112287
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • PM10, Air pollution, Generalized generalized linear model, Gamma distribution, Prediction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • TR - Turecká republika
http://linked.open...ontrolniKodProRIV
  • [34764A1EA031]
http://linked.open...i/riv/nazevZdroje
  • Atmospheric Pollution Research
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 5
http://linked.open...iv/tvurceVysledku
  • Michálek, Jaroslav
  • Hübnerová, Zuzana
http://linked.open...ain/vavai/riv/wos
  • 000345299400015
issn
  • 1309-1042
number of pages
http://bibframe.org/vocab/doi
  • 10.5094/APR.2014.055
http://localhost/t...ganizacniJednotka
  • 26210
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