State estimation in flash flood prediction for small rivers
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Divas Karimanzira
Divas Karimanzira is a Technology professional with a PhD. in Systems engineering and Information Technology. He obtained his first degree in Automation and Control from the Humboldt University in Berlin. He worked as a lecturing associate professor at the University of Technology Ilmenau mainly in the field of Modelling, Simulation, Optimization and Control. He has 10+ years working and research experience in Resources management (Water/Energy). Currently, he is working at the Fraunhofer Research Institute in Germany in Intelligent Water management systems.
Fraunhofer IOSB-AST, Am Vogelherd 50, 98693 Ilmenau, Germany
,
Hartmut Linke
Fraunhofer IOSB-AST, Am Vogelherd 50, 98693 Ilmenau, Germany
Prof. habil. Thomas Rauschenbach ist the Head of the Fraunhofer Ilmeanu.He has been working in the field of water management for several years.He also lectures at the University of Technology Ilmenau mainly in the field of Modelling, Simulation, Optimization and Control.
Fraunhofer IOSB-AST, Am Vogelherd 50, 98693 Ilmenau, Germany
Fraunhofer IOSB-AST, Am Vogelherd 50, 98693 Ilmenau, Germany
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.
Zusammenfassung
Abflussmodelle sind ein notwendiger Bestandteil alle Sturzflutwarnsysteme. Besonders in Einzugsgebieten kleiner Flüsse mit schneller Reaktion zu intensiven Regen, sind Frühwarnsysteme basierend auf hoch-qualitativen Regenvorhersagen und Einzugsgebietsmodellen sehr wichtig. In diesem Beitrag wird ein Frühwarnsytem für das Trusetalgebiet (Thüringen) vorgestellt. Eine Zustandsschätzung mittels Moving Horizon ermöglicht die Online-Anwendung.
About the authors
Divas Karimanzira is a Technology professional with a PhD. in Systems engineering and Information Technology. He obtained his first degree in Automation and Control from the Humboldt University in Berlin. He worked as a lecturing associate professor at the University of Technology Ilmenau mainly in the field of Modelling, Simulation, Optimization and Control. He has 10+ years working and research experience in Resources management (Water/Energy). Currently, he is working at the Fraunhofer Research Institute in Germany in Intelligent Water management systems.
Fraunhofer IOSB-AST, Am Vogelherd 50, 98693 Ilmenau, Germany
Fraunhofer IOSB-AST, Am Vogelherd 50, 98693 Ilmenau, Germany
Prof. habil. Thomas Rauschenbach ist the Head of the Fraunhofer Ilmeanu.He has been working in the field of water management for several years.He also lectures at the University of Technology Ilmenau mainly in the field of Modelling, Simulation, Optimization and Control.
Fraunhofer IOSB-AST, Am Vogelherd 50, 98693 Ilmenau, Germany
Fraunhofer IOSB-AST, Am Vogelherd 50, 98693 Ilmenau, Germany
Acknowledgement
The authors wish to thank the Freistaat Thüringen Ministerium für Landwirtschaft, Forsten, Umwelt und Naturschutz who sponsored the Project. We thank our colleagues who provided insight and expertise that greatly assisted the research.
©2015 Walter de Gruyter Berlin/Boston
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- Frontmatter
- Editorial
- Wasser, Abwasser, Biogas
- Anwendungen
- Modellierung der biochemischen, elektrischen und thermischen Prozesse auf Kläranlagen
- State estimation in flash flood prediction for small rivers
- Praxistaugliche Modellierung eines prädiktiven Reglers für Biogasanlagen
- Integrierte Materialflussanalyse und Prozessmodellierung als Planungshilfe im Wasser- und Energiesektor
- Short-term management of hydropower reservoirs under meteorological uncertainty by means of multi-stage optimization
- Optimizing anaerobic co-digestion plants: MIR online instrumentation and dynamic real-time substrate feed optimization
- Tools
- Simulationsplattform zum integrierten Prozess- und Automatisierungsentwurf von Abwassersystemen
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Articles in the same Issue
- Frontmatter
- Editorial
- Wasser, Abwasser, Biogas
- Anwendungen
- Modellierung der biochemischen, elektrischen und thermischen Prozesse auf Kläranlagen
- State estimation in flash flood prediction for small rivers
- Praxistaugliche Modellierung eines prädiktiven Reglers für Biogasanlagen
- Integrierte Materialflussanalyse und Prozessmodellierung als Planungshilfe im Wasser- und Energiesektor
- Short-term management of hydropower reservoirs under meteorological uncertainty by means of multi-stage optimization
- Optimizing anaerobic co-digestion plants: MIR online instrumentation and dynamic real-time substrate feed optimization
- Tools
- Simulationsplattform zum integrierten Prozess- und Automatisierungsentwurf von Abwassersystemen
- Dissertation
- Dynamische Echtzeit-Optimierung der Substratzufuhr für anaerobe Co-Vergärungsanlagen
