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Daniele Ganora  - - - 
18
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Distribution of Articles published per year 
(2009 - 2018)
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11
 
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PROCEEDINGS-ARTICLE 11 Reads 0 Citations A web-based open-source geoinformation tool for regional water resources assessment Susanna Grasso, Pierluigi Claps, Andrea Libertino, Daniele G... Published: 15 November 2018
Proceedings of 3rd International Electronic Conference on Water Sciences (ECWS-3), doi: 10.3390/ecws-3-05831
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To reduce the impact of droughts and increase the resilience of regional water systems, various demands, such as hydropower, supply and irrigation, need to be reconciled. In this perspective, designers and practitioners must be able to use information tools to define the hydrological constraints for a sustainable management of the resource. In this work, a web-based open-source geoinformation system is presented, that allows to estimate Flow Duration Curves (FDCs) in ungauged basins. The regional statistical model used, developed by Ganora et al., 2013 [1] in North-Western Italy, is based on the characterization of the FDC in a parametric framework where parameters depend on topographic, climatic, land use and vegetation descriptors computed at the basin scale. The software tool, accessible both by web browsers and GIS desktop (e.g. QGIS), pilots the estimations steps by computing the spatial descriptors and applying relations needed to estimate the full FDC via Burr distribution. The developed server-side scripting provides users with always updated data and procedures, being free from software client compatibility issues.
Article 0 Reads 0 Citations Technical note: A novel technique to improve the hydrological estimates at ungauged basins by swapping workspaces Muhammad Uzair Qamar, Muhammad Azmat, Muhammad Usman, Daniel... Published: 29 August 2018
Hydrology and Earth System Sciences Discussions, doi: 10.5194/hess-2018-418
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The dissimilarity-based methods to perform prediction of flow regimes in ungauged basins have become quite popular in the recent times. Generally, these methods use geomorphological and climatic characteristics of the basins to translate their hydrological properties. However, the methods have been criticized for using selective basin characteristics for the prediction of hydrological data of the basins in the entire study area. Incase these selected descriptors are not strongly related to the hydrological properties of the considered basin; as opposed to the general perception, a considerable magnitude of localized error may be introduced in the final results. To address these drawbacks, we propose a novel technique which assists in identifying a better individual regional model for the prediction of hydrological data at each ungauged basin. The new procedure treats each flow regime as a complete hydrological object. Whereas, the variability in regime shape is determined by using dissimilarity values arranged in a distance matrix executed by considering normalized values of three types of dissimilarities viz; point-to-point dissimilarity, vertical dissimilarity and lateral dissimilarity. On the basis of defined statistical routines, the flow distance matrix is linked with the distance matrices of basin characteristics, acquired by simple comparison of descriptors values, to select most suitable descriptors from the pool of 74 descriptors to form regionalized models. The dissimilarity-based regionalization model thus obtained is primarily coupled with nearest neighbor algorithm to constitute a model space for the initial predictions of the monthly flow regimes. Afterwards, based on the orientation of nearest neighbors of ungauged basin in descriptor space __ the prediction is improved by swapping the model space with the other available models provided the set criteria are fulfilled. The proposed study is conducted in northwestern Italy and the proposed method is tested on the dataset of 124 basins. The basins where the set criteria of model swapping are complied with; the results obtained are statistically better than the initial estimates.
Article 0 Reads 1 Citation Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset Andrea Libertino, Daniele Ganora, Pierluigi Claps Published: 07 May 2018
Hydrology and Earth System Sciences, doi: 10.5194/hess-22-2705-2018
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Like other Mediterranean areas, Italy is prone to the development of events with significant rainfall intensity, lasting for several hours. The main triggering mechanisms of these events are quite well known, but the aim of developing rainstorm hazard maps compatible with their actual probability of occurrence is still far from being reached. A systematic frequency analysis of these occasional highly intense events would require a complete countrywide dataset of sub-daily rainfall records, but this kind of information was still lacking for the Italian territory. In this work several sources of data are gathered, for assembling the first comprehensive and updated dataset of extreme rainfall of short duration in Italy. The resulting dataset, referred to as the Italian Rainfall Extreme Dataset (I-RED), includes the annual maximum rainfalls recorded in 1 to 24 consecutive hours from more than 4500 stations across the country, spanning the period between 1916 and 2014. A detailed description of the spatial and temporal coverage of the I-RED is presented, together with an exploratory statistical analysis aimed at providing preliminary information on the climatology of extreme rainfall at the national scale. Due to some legal restrictions, the database can be provided only under certain conditions. Taking into account the potentialities emerging from the analysis, a description of the ongoing and planned future work activities on the database is provided.
Article 0 Reads 0 Citations Technical note: Space-time analysis of rainfall extremes in Italy: clues from a reconciled dataset Andrea Libertino, Daniele Ganora, Pierluigi Claps Published: 08 January 2018
Hydrology and Earth System Sciences Discussions, doi: 10.5194/hess-2017-752
DOI See at publisher website ABS Show/hide abstract
Like other Mediterranean areas, Italy is prone to the development of events with explosive rainfall intensity, lasting for several hours. The main triggering mechanisms of these events are quite well known but the aim of developing rainstorm hazard maps compatible with their actual probability of occurrence is still far from being reached. A systematic frequency analysis of these occasional highly intense events would require a complete countrywide dataset of sub-daily rainfall records, but this kind of information was still lacking for the Italian territory. In this work several sources of data are gathered, for assembling the first comprehensive and updated dataset of extreme rainfall of short duration in Italy. The resulting dataset, referred to as Italian Rainfall Extreme Dataset (I-RED), includes the annual maximum rainfalls recorded in 1 to 24 consecutive hours from more than 4500 stations across the country, spanning the period between 1916 and 2014. A detailed description of the spatial and temporal coverage of the I-RED is presented, together with an exploratory statistical analysis aimed at providing preliminary information on the climatology of extreme rainfall at the national scale. Taking into account the potentialities emerging from the analysis, a description of the ongoing and planned future work activities on the database is provided.
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
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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.
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