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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
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Sprache |
Englisch
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ISSN |
1561-8633
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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
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Publikation (Nr.) |
copernicus.org/nhess-11-1657-2011.pdf |
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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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