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<article language="en">
	<journal>
		<journal_title>Advances in Geosciences</journal_title>
		<journal_url>www.adv-geosci.net</journal_url>
		<issn>1680-7340</issn>
		<eissn>1680-7359</eissn>
		<volume_number>5</volume_number>
		<volume_title>Proceedings of the 8th Workshop for Large Scale Hydrological Modelling - Oppurg 2004</volume_title>
		<publication_year>2005</publication_year>
	</journal>
	<doi>10.5194/adgeo-5-99-2005</doi>
	<article_url>http://www.adv-geosci.net/5/99/2005/</article_url>
	<abstract_html>http://www.adv-geosci.net/5/99/2005/adgeo-5-99-2005.html</abstract_html>
	<fulltext_pdf>http://www.adv-geosci.net/5/99/2005/adgeo-5-99-2005.pdf</fulltext_pdf>
	<start_page>99</start_page>
	<end_page>104</end_page>
	<publication_date>2005-12-16</publication_date>
	<article_title content_type="html">Model system development and uncertainty for the provisionary management of extreme floods in large river basins</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>K.-E. Lindenschmidt</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>K. Fleischbein</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>T. Petrow</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>S. Vorogushyn</name>
		</author>
		<author numeration="5" affiliations="2">
			<name>S. Theobald</name>
		</author>
		<author numeration="6" affiliations="1">
			<name>B. Merz</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">GFZ GeoForschungsZentrum Potsdam, Section 5.4 – Engineering Hydrology, Telegrafenberg, 14473 Potsdam, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Institute of Water Resources Management, Hydraulic and Rural Engineering, University of Karlsruhe (TH), Kaiserstraße 12, 76128 Karlsruhe, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">A research project is introduced in which a modelling
system is being developed to quantify risks of extreme flooding in large
river basins. In the system, computer models and modules are coupled to
simulate the functional chain: hydrology - hydraulics - polder diversion
- dyke failure - flooding - damage estimate - risk assessment. In order
to reduce uncertainty in flood frequency analyses, data sets are
complimented with information from historical chronicles and artwork.
Probable maximum precipitation and discharge are calculated to indicate
upper bounds of meteorological and hydrological extremes. Uncertainty
analysis is investigated for different degrees of model complexity and
compared at different basin scales.</abstract>
	<references>
	</references>
</article>

