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Davide Luciano De Luca and Andrea Petroselli
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Davide Luciano De Luca, Ciro Apollonio and Andrea Petroselli
Rainfall-runoff modelling in small and ungauged basins represents one of the most common practices in hydrology. However, it remains a challenging task for researchers and practitioners, in particular in a climate change context and in areas subject to d...
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Davide Luciano De Luca and Andrea Petroselli
The MS Excel file with VBA (Visual Basic for Application) macros named STORAGE (STOchastic RAinfall GEnerator) is introduced herein. STORAGE is a temporal stochastic simulator aiming at generating long and high-resolution rainfall time series, and it is ...
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Andrea Petroselli, Ciro Apollonio, Davide Luciano De Luca, Pietro Salvaneschi, Massimo Pecci, Tatiana Marras and Bartolomeo Schirone
Soil erosion caused by intense rainfall events is one of the major problems affecting agricultural and forest ecosystems. The Universal Soil Loss Equation (USLE) is probably the most adopted approach for rainfall erosivity estimation, but in order to be ...
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Aldo Greco, Davide Luciano De Luca and Elenio Avolio
An in-depth analysis of historical heavy rainfall fields clearly constitutes an important aspect in many related topics: as examples, mesoscale models for early warning systems and the definition of design event scenarios can be improved, with the conseq...
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Davide Luciano De Luca and Luciano Galasso
In this work, the authors investigated the feasibility of calibrating a model which is suitable for the generation of continuous high-resolution rainfall series, by using only data from annual maximum rainfall (AMR) series, which are usually longer than ...
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Davide Luciano De Luca and Luciano Galasso
This study tests stationary and non-stationary approaches for modelling data series of hydro-meteorological variables. Specifically, the authors considered annual maximum rainfall accumulations observed in the Calabria region (southern Italy), and attent...
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Davide Luciano De Luca, Daniela Biondi
Pág. 1 - 13
This study focuses on the return period evaluation for design hyetographs, which is usually estimated by adopting a univariate statistical approach. Joint Return Period (JRP) and copula-based multivariate analysis are used in this work to better define T...
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Davide Luciano De Luca and Daniela Biondi
This study focuses on the return period evaluation for design hyetographs, which is usually estimated by adopting a univariate statistical approach. Joint Return Period (JRP) and copula-based multivariate analysis are used in this work to better define T...
ver más
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