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Küchenhoff, H.* ; Thamerus, M.

Extreme value analysis of Munich air pollution data.

Environ. Ecol. Stat. 3, 127-141 (1996)
Verlagsversion Volltext
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
We present three different approaches to modelling extreme values of daily air pollution data. We fitted a generalized extreme value distribution to the monthly maxima of daily concentration measures. For the exceedances of a high threshold depending on the data, the parameters of the generalized Pareto distribution were estimated. Accounting for autocorrelation, clusters of exceedances were used. To obtain information about the relationship of the exceedance of the air quality standard and possible predictors we applied logistic regression. Results and their interpretation are given for daily average concentrations of ozone and nitrogen dioxide at two monitoring sites within the city of Munich.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter air pollution; extreme values; generalized extreme value distribution; generalized Pareto distribution; logistic regression
ISSN (print) / ISBN 1352-8505
e-ISSN 1573-3009
Zeitschrift Environmental and Ecological Statistics
Quellenangaben Band: 3, Heft: 2, Seiten: 127-141 Artikelnummer: , Supplement: ,
Verlag Springer