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Pierluigi Claps   Dr.  Institute, Department or Faculty Head 
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Pierluigi Claps published an article in November 2018.
Top co-authors
Francesco Laio

133 shared publications

Politecnico di Torino, Dipartimento di Ingegneria dell’Ambiente, del Territorio e delle Infrastrutture, 10129 Torino, Italy

Roberto Cremonini

12 shared publications

Department of Natural and Environmental Risks, Regional Agency for Environmental Protection of Piedmont (ARPA Piemonte), Turin, 10135, Italy

P. Allamano

9 shared publications

Department of Environment, Land and Infrastructure Engineering; Politecnico di Torino; Torino Italy

Andrea Libertino

7 shared publications

Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Torino, Italy

46
Publications
20
Reads
8
Downloads
541
Citations
Publication Record
Distribution of Articles published per year 
(1993 - 2018)
Total number of journals
published in
 
25
 
Publications See all
CONFERENCE-ARTICLE 36 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
DOI See at publisher website ABS Show/hide abstract

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.

PROCEEDINGS-ARTICLE 0 Reads 0 Citations Floodbook: a Social Platform for Flood Hydrology Silvia Isacco, Pierluigi Claps, Susanna Grasso, Ennio Ferrar... Published: 20 September 2018
doi: 10.29007/fb6d
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations A Web-GIS Tool for Rainstorm Hazard Management Over Large Areas Susanna Grasso, Andrea Libertino, Pierluigi Claps Published: 20 September 2018
doi: 10.29007/gthr
DOI See at publisher website
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
DOI See at publisher website ABS Show/hide abstract
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 2 Citations Regional-scale analysis of extreme precipitation from short and fragmented records Andrea Libertino, Paola Allamano, Francesco Laio, Pierluigi ... Published: 01 February 2018
Advances in Water Resources, doi: 10.1016/j.advwatres.2017.12.015
DOI See at publisher website
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.
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