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| Titel |
An entropy approach for evaluating the maximum information content achievable by an urban rainfall network |
| VerfasserIn |
E. Ridolfi, V. Montesarchio, F. Russo, F. Napolitano |
| 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 ; 11, no. 7 ; Nr. 11, no. 7 (2011-07-28), S.2075-2083 |
| Datensatznummer |
250009575
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| Publikation (Nr.) |
 copernicus.org/nhess-11-2075-2011.pdf |
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| Zusammenfassung |
Hydrological models are the basis of operational flood-forecasting systems.
The accuracy of these models is strongly dependent on the quality and
quantity of the input information represented by rainfall height. Finer
space-time rainfall resolution results in more accurate hazard forecasting.
In this framework, an optimum raingauge network is essential in predicting
flood events.
This paper develops an entropy-based approach to evaluate the maximum
information content achievable by a rainfall network for different sampling
time intervals. The procedure is based on the determination of the
coefficients of transferred and nontransferred information and on the
relative isoinformation contours.
The nontransferred information value achieved by the whole network is strictly
dependent on the sampling time intervals considered. An empirical curve is
defined, to assess the objective of the research: the nontransferred
information value is plotted versus the associated sampling time on a semi-log
scale. The curve has a linear trend.
In this paper, the methodology is applied to the high-density raingauge
network of the urban area of Rome. |
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