uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An entropy approach for evaluating the maximum information content achievable by an urban rainfall network
Sapienza University of Rome, Rome, Italy.ORCID iD: 0000-0002-4714-2511
Sapienza University of Rome, Rome, Italy.
Sapienza University of Rome.
Sapienza University of Rome.
2011 (English)In: Natural hazards and earth system sciences, ISSN 1561-8633, E-ISSN 1684-9981, Vol. 11, no 7, p. 2075-2083Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2011. Vol. 11, no 7, p. 2075-2083
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:uu:diva-401006DOI: 10.5194/nhess-11-2075-2011OAI: oai:DiVA.org:uu-401006DiVA, id: diva2:1382701
Available from: 2020-01-03 Created: 2020-01-03 Last updated: 2020-01-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Ridolfi, Elena

Search in DiVA

By author/editor
Ridolfi, Elena
In the same journal
Natural hazards and earth system sciences
Oceanography, Hydrology and Water Resources

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 4 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf