This study is a part of wider research that aims to analyze the historical series of precipitation fallen along Latian coast, in the context of climate change. In particular, we focused on extreme rainfall events that may produce local flash flood events to the northern Latian coast from Civitavecchia to Santa Marinella. Daily rainfall data were analyzed from 1951 to 2009 for the Civitavecchia meteorological station. We focused on the extreme values following two approaches: the first one is based on the maximum annual daily rainfall series (1-day, 2-day and 3-day) for which suitable probability distributions are fitted, the second one is based on the series of peaks over annual thresholds (POT) for which the best fitting distribution is identified. The aim of this analysis is to estimate the return levels for various return periods.
Extreme rainfall events and flooding along the coastal area of Civitavecchia / Bramati, Maria Caterina; Tarragoni, Claudia; Davoli, Lina; Raffi, Rossana. - STAMPA. - (2012), pp. 101-102. (Intervento presentato al convegno IV International Symposium Monitoring of Mediterranean coastal areas tenutosi a Livorno nel 12-13-14 giugno 2012).
Extreme rainfall events and flooding along the coastal area of Civitavecchia
BRAMATI, Maria Caterina;TARRAGONI, CLAUDIA;DAVOLI, Lina;RAFFI, Rossana
2012
Abstract
This study is a part of wider research that aims to analyze the historical series of precipitation fallen along Latian coast, in the context of climate change. In particular, we focused on extreme rainfall events that may produce local flash flood events to the northern Latian coast from Civitavecchia to Santa Marinella. Daily rainfall data were analyzed from 1951 to 2009 for the Civitavecchia meteorological station. We focused on the extreme values following two approaches: the first one is based on the maximum annual daily rainfall series (1-day, 2-day and 3-day) for which suitable probability distributions are fitted, the second one is based on the series of peaks over annual thresholds (POT) for which the best fitting distribution is identified. The aim of this analysis is to estimate the return levels for various return periods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.