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Titel Occurrence analysis of daily rainfalls through non-homogeneous Poissonian processes
VerfasserIn B. Sirangelo, E. Ferrari, D. L. Luca
Medientyp Artikel
Sprache Englisch
ISSN 1561-8633
Digitales Dokument URL
Erschienen In: Natural Hazards and Earth System Science ; 11, no. 6 ; Nr. 11, no. 6 (2011-06-14), S.1657-1668
Datensatznummer 250009486
Publikation (Nr.) Volltext-Dokument vorhandencopernicus.org/nhess-11-1657-2011.pdf
 
Zusammenfassung
A stochastic model based on a non-homogeneous Poisson process, characterised by a time-dependent intensity of rainfall occurrence, is employed to explain seasonal effects of daily rainfalls exceeding prefixed threshold values. The data modelling has been performed with a partition of observed daily rainfall data into a calibration period for parameter estimation and a validation period for checking on occurrence process changes. The model has been applied to a set of rain gauges located in different geographical areas of Southern Italy. The results show a good fit for time-varying intensity of rainfall occurrence process by 2-harmonic Fourier law and no statistically significant evidence of changes in the validation period for different threshold values.
 
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