EGU23-16552, updated on 26 Feb 2023
https://doi.org/10.5194/egusphere-egu23-16552
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Quantitative and Qualitative River Monitoring Using an Innovative UAV-USV Tandem System

Issa Hansen1, Salvador Peña-Haro2, Beat Lüthi2, Frank-Andreas Weber3, Juan Ramirez3, Benjamin Eberhardt4, Thomas Gattung5, Julian Teege6, Enrico Neumann7, Ralf Becker8, and Jörg Blankenbach8
Issa Hansen et al.
  • 1SEBA Hydrometrie GmbH & Co. KG, Product Management, Germany (hansen@seba.de)
  • 2Photrack AG, Zurich, Switzerland
  • 3The Research Institute for Water Management and Climate Future at RWTH Aachen University, Germany
  • 4The German Federal Institute of Hydrology (BfG), Koblenz, Germany
  • 5The Federal Waterways Engineering and Research Institute (BAW), Karlsruhe, Germany
  • 6Orthodrone GmbH, Kiel, Germany
  • 7IAV GmbH Ingenieurgesellschaft Auto und Verkehr, Gifhorn, Germany
  • 8Geodetic Institute and Chair for Computing in Civil Engineering & GIS, (gia) RWTH Aachen University, Aachen, Germany

The use of modern digital technologies in water management is an important driver for obtaining better data for assessing the status of water bodies and their development. These data can be beneficially implemented for the monitoring and management of rivers and especially waterways.

In the BMDV-funded project RiverCloud, an autonomous tandem system consisting of an Unmanned Aerial Vehicle (UAV) and an Unmanned Surface Vehicle (USV) is being developed under the coordination of the gia of RWTH Aachen University, which will provide spatially and temporally high-resolution data for the development and maintenance of waterways as well as for river management. The contribution introduces the developed coupled UAV/USV tandem system with its mounted sensors for high resolution data acquisition and continuously accurate georeferencing and presents some significant results using the example of a study area on the Rhine River (Tomateninsel).

The data presented are, among others, camera-based flow measurements using an image processing method, discharge data of a precise ADCP (Acoustic Doppler Current Profiler) with 2000 kHz frequency and ten water quality parameters using a multi-parameter probe. All data mentioned were simultaneously collected in two locations of the study area on the Rhine River in September 2022. The 4 seconds videos collected by the UAV-camera were processed using an image processing method based on the surface velocity after implementing a new developed stabilisation tool. The cross-section data collected by ADCP were used for the configuration of the two sites. The agreement between ADCP and camera-based flow and discharge data was very good on both sites with less than 5% deviation for a discharge value of approx. 600 m3/s and 1.63 m/s mean velocity. The water quality parameters collected during the measuring campaign were temperature, conductivity, salinity, pH value, oxygen concentration, oxygen saturation, ammonium, turbidity, Total suspended solids (TSS) and total dissolved solids (TDS). The water quality data were in the expected ranges for river water (e.g. average values: pH 7.8, T 21.8°C, EC 0.35 mS/cm, Sal 0.71%, O2 7.5 mg/l, NH4+ 0.3 mg/l).

The results, specific requirements of the developed solution and challenges under the measuring conditions of the study area are presented in this paper. The data collected are used as the input of an overview report for river or waterway water flow and quality monitoring.

How to cite: Hansen, I., Peña-Haro, S., Lüthi, B., Weber, F.-A., Ramirez, J., Eberhardt, B., Gattung, T., Teege, J., Neumann, E., Becker, R., and Blankenbach, J.: Quantitative and Qualitative River Monitoring Using an Innovative UAV-USV Tandem System, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-16552, https://doi.org/10.5194/egusphere-egu23-16552, 2023.