Henning Oppel

Henning Oppel
Ruhr-Universität Bochum | RUB · Department of Civil and Environmental Engineering

Dr.-Ing.

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10
Publications
1,474
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43
Citations

Publications

Publications (10)
Article
Measurement data management systems are a key factor in modern urban water resource management, that allow to judge data quality assessments and are thus crucial for further applications. The joint analysis of all sensor data is often not possible, due to the enormous amount of data incoming. In this study, a novel data analysis tool is presented t...
Article
Can a stage-discharge relation be trained automatically with the help of an AI-approach and a hydraulic model? The method developed here combines the information from a hydraulic model with that from the observed water levels of a gauging station and tracks the stage-discharge relation on this basis. A test of the technology on the Emscher River sh...
Article
Full-text available
Can machine learning effectively lower the effort necessary to extract important information from raw data for hydrological research questions? On the example of a typical water-management task, the extraction of direct runoff flood events from continuous hydrographs, we demonstrate how machine learning can be used to automate the application of ex...
Article
Full-text available
Several factors have an impact on the generation of floods, for example, antecedent moisture conditions and the shape of the catchment. A very important factor is the event rainfall, especially its temporal distribution. However, the categorization of temporal distributions is riddled with uncertainty, due to a priori assumptions on distribution ty...
Article
Full-text available
Hydrological models used for flood prediction in ungauged catchments are commonly fitted to regionally transferred data. The key issue of this procedure is to identify hydrologically similar catchments. Therefore, the dominant controls for the process of interest have to be known. In this study, we applied a new machine learning based approach to i...
Article
Full-text available
Karstic groundwater systems are often investigated by a combination of environmental or artificial tracers. One of the major downsides of tracer‐based methods is the limited availability of tracer measurements, especially in data sparse regions. This study presents an approach to systematically evaluate the information content of the available data...
Book
Full-text available
In data scarce regions common hydrological models cannot be applied. Due to the missing data for calibration conceptual rainfall-runoff models cannot be parametrized and, hence, not be used for operational predictions or definition of design hydrographs. Geomorphological instantaneous unit hydrographs (GIUH) offer the unique possibility to adapt mo...
Article
Full-text available
A distributed or semi-distributed deterministic hydrological model should consider the hydrologically most relevant catchment characteristics. These are heterogeneously distributed within a watershed but often interrelated and subject to a certain spatial organization which results in archetypes of combined characteristics. In order to reproduce th...
Preprint
Full-text available
A hydrological model should represent the hydrological most relevant catchment characteristics. These are heterogeneously distributed within a watershed but often interrelated and subject of a certain spatial organisation. In order to reproduce the natural rainfall-runoff response the reduction of variance of catchment properties as well as the inc...

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