State estimation in flash flood prediction for small rivers
Rainfall–runoff models are used as an integral part of flood warning systems. Especially in small river catchment areas with a fast response to intense rain, an early enough triggering of warnings requires high quality weather forecasts as well as sufficiently accurate models. A conceptual rainfall–...
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| Veröffentlicht in: | Automatisierungstechnik : AT 2015-07, Vol.63 (7), p.494-501 |
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| container_title | Automatisierungstechnik : AT |
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| creator | Karimanzira, Divas Linke, Hartmut Rauschenbach, Thomas Pfützenreuter, Torsten |
| description | Rainfall–runoff models are used as an integral part of flood warning systems. Especially in small river catchment areas with a fast
response to intense rain, an early enough triggering of warnings requires high quality weather forecasts as well as sufficiently
accurate models. A conceptual rainfall–runoff model proposed by Lorent/Gevers serves as core routine of a pilot flash flood warning
system for the Truse catchment in Thuringia (Germany). A moving horizon state estimator is used in order to enable this model for
online application. |
| doi_str_mv | 10.1515/auto-2014-1169 |
| format | Article |
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response to intense rain, an early enough triggering of warnings requires high quality weather forecasts as well as sufficiently
accurate models. A conceptual rainfall–runoff model proposed by Lorent/Gevers serves as core routine of a pilot flash flood warning
system for the Truse catchment in Thuringia (Germany). A moving horizon state estimator is used in order to enable this model for
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response to intense rain, an early enough triggering of warnings requires high quality weather forecasts as well as sufficiently
accurate models. A conceptual rainfall–runoff model proposed by Lorent/Gevers serves as core routine of a pilot flash flood warning
system for the Truse catchment in Thuringia (Germany). A moving horizon state estimator is used in order to enable this model for
online application.</description><subject>catchment modelling</subject><subject>Einzugsgebietmodellierung</subject><subject>flash floods</subject><subject>forecast</subject><subject>State estimation</subject><subject>Sturzflut</subject><subject>Vorhersage</subject><subject>Zustandschätzung</subject><issn>0178-2312</issn><issn>2196-677X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp1j01LAzEQhoMoWKtXz_sHUjPZJJugFyl-QcGDCt5Cmp3olm1TklTpv3fXevUyMzDzDO9DyCWwGUiQV25XIuUMBAVQ5ohMOBhFVdO8H5MJg0ZTXgM_JWc5rxjjajidkOuX4gpWmEu3dqWLm6rbVKF3-XOoMbbVNmHb-d9NiKnKa9f3Veq-MOVzchJcn_Hir0_J2_3d6_yRLp4fnua3C-q5aAp1PkjBJXpQUknBdIuouGJ8uayVZj60SwVCKK0N9wa0NJxpxCBbxo2sQz0ls8Nfn2LOCYPdpiFt2ltgdlS3o7od1e2oPgA3B-Db9QVTix9ptx8Gu4q7tBmi_gOquhFG1D9U2GCS</recordid><startdate>20150728</startdate><enddate>20150728</enddate><creator>Karimanzira, Divas</creator><creator>Linke, Hartmut</creator><creator>Rauschenbach, Thomas</creator><creator>Pfützenreuter, Torsten</creator><general>De Gruyter Oldenbourg</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20150728</creationdate><title>State estimation in flash flood prediction for small rivers</title><author>Karimanzira, Divas ; Linke, Hartmut ; Rauschenbach, Thomas ; Pfützenreuter, Torsten</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c247t-acf5425ec16565408dee62602bb3680cfdb614468892c91859208eef5d02953f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>catchment modelling</topic><topic>Einzugsgebietmodellierung</topic><topic>flash floods</topic><topic>forecast</topic><topic>State estimation</topic><topic>Sturzflut</topic><topic>Vorhersage</topic><topic>Zustandschätzung</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karimanzira, Divas</creatorcontrib><creatorcontrib>Linke, Hartmut</creatorcontrib><creatorcontrib>Rauschenbach, Thomas</creatorcontrib><creatorcontrib>Pfützenreuter, Torsten</creatorcontrib><collection>CrossRef</collection><jtitle>Automatisierungstechnik : AT</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karimanzira, Divas</au><au>Linke, Hartmut</au><au>Rauschenbach, Thomas</au><au>Pfützenreuter, Torsten</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>State estimation in flash flood prediction for small rivers</atitle><jtitle>Automatisierungstechnik : AT</jtitle><date>2015-07-28</date><risdate>2015</risdate><volume>63</volume><issue>7</issue><spage>494</spage><epage>501</epage><pages>494-501</pages><issn>0178-2312</issn><eissn>2196-677X</eissn><abstract>Rainfall–runoff models are used as an integral part of flood warning systems. Especially in small river catchment areas with a fast
response to intense rain, an early enough triggering of warnings requires high quality weather forecasts as well as sufficiently
accurate models. A conceptual rainfall–runoff model proposed by Lorent/Gevers serves as core routine of a pilot flash flood warning
system for the Truse catchment in Thuringia (Germany). A moving horizon state estimator is used in order to enable this model for
online application.</abstract><pub>De Gruyter Oldenbourg</pub><doi>10.1515/auto-2014-1169</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
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| ispartof | Automatisierungstechnik : AT, 2015-07, Vol.63 (7), p.494-501 |
| issn | 0178-2312 2196-677X |
| language | eng |
| recordid | cdi_crossref_primary_10_1515_auto_2014_1169 |
| source | De Gruyter journals |
| subjects | catchment modelling Einzugsgebietmodellierung flash floods forecast State estimation Sturzflut Vorhersage Zustandschätzung |
| title | State estimation in flash flood prediction for small rivers |
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