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| Titel |
ICT approaches to integrating institutional and non-institutional data services for better understanding of hydro-meteorological phenomena |
| VerfasserIn |
T. Bedrina, A. Parodi, A. Quarati, A. Clematis |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 12, no. 6 ; Nr. 12, no. 6 (2012-06-18), S.1961-1968 |
| Datensatznummer |
250010927
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| Publikation (Nr.) |
 copernicus.org/nhess-12-1961-2012.pdf |
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| Zusammenfassung |
It is widely recognised that an effective exploitation of Information and
Communication Technologies (ICT) is an enabling factor to achieve major
advancements in Hydro-Meteorological Research (HMR). Recently, a
lot of attention has been devoted to the use of ICT in HMR activities, e.g.
in order to facilitate data exchange and integration, to improve
computational capabilities and consequently model resolution and quality.
Nowadays, ICT technologies have demonstrated that it is possible to extend
monitoring networks by integrating sensors and other sources of data managed
by volunteer's communities. These networks are constituted by peers that
span a wide portion of the territory in many countries. The peers are
"location aware" in the sense that they provide information strictly
related with their geospatial location. The coverage of these networks, in
general, is not uniform and the location of peers may follow random
distribution. The ICT features used to set up the network are lightweight
and user friendly, thus, permitting the peers to join the network without the
necessity of specialised ICT knowledge. In this perspective it is of increasing interest for HMR activities to elaborate of Personal Weather Station (PWS)
networks, capable to provide almost real-time, location aware, weather data.
Moreover, different big players of the web arena are now providing world-wide
backbones, suitable to present on detailed map location aware information,
obtained by mashing up data from different sources. This is the case, for
example, with Google Earth and Google Maps.
This paper presents the design of a mashup application aimed at aggregating,
refining and visualizing near real-time hydro-meteorological datasets. In
particular, we focused on the integration of instant precipitation depths,
registered either by widespread semi-professional weather stations and
official ones. This sort of information has high importance and usefulness
in decision support systems and Civil Protection applications. As a
significant case study, we analysed the rainfall data observed during the
severe flash-flood event of 4 November 2011 over Liguria region,
Italy. The joint use of official observation network with PWS networks and
meteorological radar allowed for the making of evident finger-like convection
structure. |
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