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dc.contributor.advisorBárdossy, András (Prof. Dr. rer. nat. Dr.-Ing.)-
dc.contributor.authorEl Hachem, Abbas-
dc.date.accessioned2024-05-07T10:40:05Z-
dc.date.available2024-05-07T10:40:05Z-
dc.date.issued2023de
dc.identifier.isbn978-3-910293-08-3-
dc.identifier.other1888022949-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-143448de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/14344-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-14325-
dc.description.abstractPrecipitation extremes are a space-time phenomenon that influences many engineering design decisions. The occurrence of precipitation extremes is, however, rare and with values that can deviate notably from ”normal” observations. For design purposes, an estimate of areal rainfall depth for a corresponding return period is needed. Traditionally, point rainfall extreme value statistics are transferred to areal statistics using the concept of area reduction factors. These are, in general, based on simple assumptions without considering the effects of climate change. Area Depth Duration Frequency (ADDF) curves are a mathematical function relating the area of a location to the depth and frequency of a rainfall event for a certain temporal duration and return period. The calculation of the ADDF curves is, however, not straightforward, as, in contrast to point precipitation, areal precipitation is not measured but must be estimated. This work considers precipitation as a spatial phenomenon, without purely point statistics, and aims to assess areal precipitation extremes for the present and future time periods along their expected change with climate change.en
dc.language.isoende
dc.publisherStuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgartde
dc.relation.ispartofseriesMitteilungen / Institut für Wasser- und Umweltsystemmodellierung, Universität Stuttgart;304-
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.ddc550de
dc.subject.ddc624de
dc.titleSpatial extent of precipitation extremes in hydrologyen
dc.typedoctoralThesisde
ubs.dateAccepted2023-12-19-
ubs.fakultaetBau- und Umweltingenieurwissenschaftende
ubs.institutInstitut für Wasser- und Umweltsystemmodellierungde
ubs.publikation.seitenXVIII, 126, viii, 15de
ubs.publikation.typDissertationde
ubs.schriftenreihe.nameMitteilungen / Institut für Wasser- und Umweltsystemmodellierung, Universität Stuttgartde
ubs.thesis.grantorBau- und Umweltingenieurwissenschaftende
Enthalten in den Sammlungen:02 Fakultät Bau- und Umweltingenieurwissenschaften

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