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Daniele Ganora  - - - 
19
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Distribution of Articles published per year 
(2009 - 2019)
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12
 
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Article 0 Reads 0 Citations Opportunities to improve energy use in urban wastewater treatment: a European-scale analysis Daniele Ganora, Almudena Hospido, Jovana Husemann, Joerg Kra... Published: 12 April 2019
Environmental Research Letters, doi: 10.1088/1748-9326/ab0b54
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Wastewater treatment is an essential public service that has a major impact on energy use in the urban water cycle, thus receiving increasing attention in context of the Water-Energy Nexus. Understanding the current energy use for wastewater is an essential step to design reliable policies promoting a more efficient use of resources. This paper develops a pan European estimation of electricity use for the treatment of wastewater, based on a dataset of wastewater treatment plants across the continent. Prediction of electricity use has been performed using a statistical model that accounts for economies of scale. Different scenarios of improvements of energy use efficiency have been investigated to understand the possible reductions in electricity consumption at the continental scale. The overall wastewater treatment plant (WWTP) electricity use in Europe (only plants with no less than 2,000 population equivalent (PE) have been considered) was estimated at 24,747 GWh per year, about the 0.8% of the electricity consumption in the EU-28. Small plants (less than 50,000 PE) represent almost 90% of the total number of plants, but process only 31% of the PE and require 42% of electricity use. Plants from mid to very large size (more than 50,000 PE), being only 10% of the plants, process about 70% of the PE with 58% of the total electricity use. If all plants that use more than the current average were shifted to the average value, the saving would be slightly more than 5,500 GWh/year. With highly stringent targets of efficiency improvement, saving of about 13,500 GWh/year could be expected. Further considerations on the emerging role of WWTPs as energy and material producer are finally discussed.
PROCEEDINGS-ARTICLE 14 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
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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
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