1,720,984 research outputs found
Serchio River Basin: Forecast of river floods through local scale rainfall forecasts and an hydraulic model
No full textLarge-scale atmospheric and sea surface processes leading to excessive rainfall in Tuscany, Italy
No full textPrevisione delle piene fluviali in aree a orografia complessa per mezzo di previsioni di precipitazione ad alta risoluzione e di modelli idraulici
No full textAnalysis of uncertainties and detection of trends in extreme rainfall series in Tuscany. Effect on urban drainage networks design
No full textUncertainties and trends in extreme rainfall series in Tuscany, Italy: Effects on urban drainage networks design
No full textSound basin management at urban or greater scale needs reliable design storm definition. A statistical analysis is carried out on extreme annual. rainfall series for durations of 1, 3, 6 and 12 hours occurring at two gauges in Tuscany, Italy. Kendall's test is applied to the extremal series to detect a definite increasing (or decreasing) trend. A special form of an ARIMA model is also fitted to the series to quantify possible linear trends and their respective significance. Results show a clearly increasing trend at shortest duration at both gauges, no trend at longer ones. Time evolution of design storms for all durations and return periods up to 25 years is derived and analysed based on Gumbel distribution. Applications are presented concerning impacts of uncertainties for the design of urban drainage networks. (C) 1998 Published by Elsevier Science Ltd. All rights reserved
Analisi della distribuzione spaziale delle precipitazioni cumulate su un’area a topografia complessa
No full textRegional analysis of uncertainties on design storms in Tuscany (Italy) and effects on flood risk
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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