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Daniele Ganora  - - - 
11
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55
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Publication Record
Distribution of Articles published per year 
(2009 - 2017)
Total number of journals
published in
 
8
 
Publications See all
Article 0 Reads 0 Citations Framework for Enhanced Stormwater Management by Optimization of Sewer Pumping Stations Daniele Ganora, S. Isacco, Pierluigi Claps Published: 01 August 2017
Journal of Environmental Engineering, doi: 10.1061/(ASCE)EE.1943-7870.0001220
DOI See at publisher website
Article 1 Read 1 Citation Technical note: Design flood under hydrological uncertainty Anna Botto, Daniele Ganora, Pierluigi Claps, Francesco Laio Published: 06 July 2017
Hydrology and Earth System Sciences, doi: 10.5194/hess-21-3353-2017
DOI See at publisher website ABS Show/hide abstract
Planning and verification of hydraulic infrastructures require a design estimate of hydrologic variables, usually provided by frequency analysis, and neglecting hydrologic uncertainty. However, when hydrologic uncertainty is accounted for, the design flood value for a specific return period is no longer a unique value, but is represented by a distribution of values. As a consequence, the design flood is no longer univocally defined, making the design process undetermined. The Uncertainty Compliant Design Flood Estimation (UNCODE) procedure is a novel approach that, starting from a range of possible design flood estimates obtained in uncertain conditions, converges to a single design value. This is obtained through a cost–benefit criterion with additional constraints that is numerically solved in a simulation framework. This paper contributes to promoting a practical use of the UNCODE procedure without resorting to numerical computation. A modified procedure is proposed by using a correction coefficient that modifies the standard (i.e., uncertainty-free) design value on the basis of sample length and return period only. The procedure is robust and parsimonious, as it does not require additional parameters with respect to the traditional uncertainty-free analysis. Simple equations to compute the correction term are provided for a number of probability distributions commonly used to represent the flood frequency curve. The UNCODE procedure, when coupled with this simple correction factor, provides a robust way to manage the hydrologic uncertainty and to go beyond the use of traditional safety factors. With all the other parameters being equal, an increase in the sample length reduces the correction factor, and thus the construction costs, while still keeping the same safety level.
Article 0 Reads 0 Citations Technical Note: Design flood under hydrological uncertainty Anna Botto, Daniele Ganora, Pierluigi Claps, Francesco Laio Published: 02 December 2016
Hydrology and Earth System Sciences Discussions, doi: 10.5194/hess-2016-637
DOI See at publisher website ABS Show/hide abstract
Planning and verification of hydraulic infrastructures demands for a design estimate of hydrologic variables, usually provided by frequency analysis, neglecting hydrologic uncertainty. However, when hydrologic uncertainty is accounted for, the design flood value is no longer a deterministic value, but should be treated as a random variable itself. As a consequence, the design flood is no longer univocally defined, making the design process undetermined. Both et al. (2014), with the development of the Uncertainty Compliant Design Flood Estimation (UNCODE) procedure, have shown that it is possible to fix the ambiguity in the selection of the design flood under uncertainty by considering an additional constraint based on a cost-benefit criterion. This paper contributes with an easy-to-use framework to implement the UNCODE procedure without resorting to numerical computation, but using a correction coefficient that modifies the standard (i.e., uncertainty-free) design value on the basis of sample length and return period only. The procedure is robust and parsimonious, as it does not require additional parameters with respect to the traditional uncertainty-free analysis. Simple equations to compute the correction term to the standard estimate are provided for a number of probability distributions commonly used to represent the flood frequency curve. This new design tool provides a robust way to manage the hydrologic uncertainty and to go beyond the use of traditional safety factors. With all the other parameters being equal, an increase of the sample length reduces the correction factor, and thus the construction costs, still keeping the same safety level. This improvement is shown to be more effective when short samples are extended.
Article 0 Reads 8 Citations Adaptation of water resources systems to changing society and environment: a statement by the International Association ... Serena Ceola, Alberto Montanari, Tobias Krueger, Fiona J. Dy... Published: 06 October 2016
Hydrological Sciences Journal, doi: 10.1080/02626667.2016.1230674
DOI See at publisher website
Article 0 Reads 1 Citation A comparison of regional flood frequency analysis approaches in a simulation framework Daniele Ganora, F. Laio Published: 31 July 2016
Water Resources Research, doi: 10.1002/2016wr018604
DOI See at publisher website
Article 0 Reads 2 Citations Hydrological Applications of the Burr Distribution: Practical Method for Parameter Estimation Daniele Ganora, F. Laio Published: 01 November 2015
Journal of Hydrologic Engineering, doi: 10.1061/(asce)he.1943-5584.0001203
DOI See at publisher website
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