Benjamin Mewes

Benjamin Mewes
Ruhr-Universität Bochum | RUB · Institute of Hydrology and Water Management

Doctor of Engineering

About

14
Publications
2,297
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63
Citations

Publications

Publications (14)
Preprint
Due to EC’s easy recordability and the existence of a strong correlation between EC (electrical conductivity) and discharge in certain catchments, EC is a potential predictor of discharge. This potential has not yet to be widely addressed. In this paper, we investigate the feasibility of using EC as a proxy for long-term discharge monitoring in a s...
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...
Preprint
Full-text available
Due to EC's easy recordability and the existence of a strong correlation between EC and discharge in certain catchments, EC is a potential predictor of discharge. This potential has yet to be widely addressed. In this paper, we investigate the feasibility of using EC as a proxy for long-term discharge monitoring in a small karst catchment where EC...
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
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...
Article
Full-text available
Agenten-basierte Modelle ermöglichen es, komplexe dynamische Systeme nachzubilden und werden häufig dort eingesetzt, wo das Verhalten und das Zusammenspiel einzelner Akteure von Wichtigkeit sind. Besonders in gekoppelten, sozio-hydrologischen Modellen ist dieser Modelltypus verbreitet. Agenten-basierte Modelle leiden jedoch unter der starken Abstra...
Conference Paper
Die Beschreibung komplexer Systeme benötigt Modellansätze, die in der Lage sind dynamische Interaktionen zu beschreiben und zudem chaotische Komponenten darstellen können, die durch wechselnde Wirkungszusammenhänge entstehen. Agenten-basierte Modelle ermöglichen es, komplexe dynamische Systeme nachzubilden und werden häufig dort eingesetzt, wo das...
Article
The newly developed image interpretation approach of agent-based image classification combines the advantages of object-based image classification and expert knowledge. Agent-based classification identifies meaningful objects by autonomous software units that alter their spatial extent and composition to adapt to a changing environment and data ava...
Article
Full-text available
In the last decade, agent-based modelling (ABM) became a popular modelling technique in social sciences, medicine, biology, and ecology. ABM was designed to simulate systems that are highly dynamic and sensitive to small variations in their composition and their state. As hydrological systems, and natural systems in general, often show dynamic and...
Article
Full-text available
In the last decade, agent-based modelling (ABM) became a popular modelling technique in social sciences, medicine, biology and ecology. ABM was designed to simulate systems that are highly dynamic and sensitive to small variations in their composition and their state. As hydrological systems, and natural systems in general, often show dynamic and n...
Article
Full-text available
Geophysical methods are often used to characterize and monitor the subsurface composition of permafrost. The resolution capacity of standard methods, i.e. electrical resistivity tomography and refraction seismic tomography, depends not only on static parameters such as measurement geometry, but also on the temporal variability in the contrast of th...
Article
Full-text available
Geophysical methods are often used to characterise and monitor the subsurface composition of permafrost. The resolution capacity of standard methods, i.e. Electrical Resistivity Tomography and Refraction Seismic Tomography, depends hereby not only on static parameters such as measurement geometry, but also on the temporal variability in the contras...

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