GC8-Hydro-106, updated on 08 May 2023
https://doi.org/10.5194/egusphere-gc8-hydro-106
A European vision for hydrological observations and experimentation
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Utilizing Unmanned Aerial Systems in River Water Quality Variability Monitoring

Khim Cathleen Saddi1,4,5, Domenico Miglino1, Seifeddine Jomaa2, Michael Rode2, Francesco Isgro3, and Salvatore Manfreda1
Khim Cathleen Saddi et al.
  • 1Dipartimento di Ingegneria Civile, Edile e Ambientale (DICEA), Università degli Studi di Napoli Federico II, Napoli, Italy
  • 2Department of Aquatic Ecosystem Analysis and Management (ASAM), Helmholtz Centre for Environmental Research – UFZ, Magdeburg, Germany
  • 3Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI), Università degli Studi di Napoli Federico II, 80125 Napoli, Italy
  • 4University School of Advanced Studies IUSS Pavia, Pavia, Italy
  • 5Department of Civil Engineering and Architecture, Ateneo de Naga University, Naga, Philippines

Traditional water quality monitoring in River Systems is both labor intensive and expensive. However, in order to better understand the different phenomena occurring in river systems, it is vital to have robust data available. Satellite observations have been successful in monitoring different environmental systems, but generally, current available spatial resolutions and cloud cover in inland waters limit the monitoring of rivers. Recent developments in the use of Unmanned Aerial Systems (UAS) highlighted the potential to address this gap in environmental monitoring. 

In this study, UAS and image processing techniques were utilized to gather an overview of the water quality variability, specific to turbidity level and pollutant transport, along the Sarno River, which is the most polluted river in Europe, and the river pollution has long been subject to disputes between many sectors. Preliminary findings highlighted the potential of image processing and allowed to identify the  variability in river water quality along the main river by adopting a sampling protocol in several points of the Sarno River. While there were few observations of plastic in river banks, organic transport was mostly observed and interestingly, there is a water quality spatial mixing in the river mouth, which is difficult to observe using traditional in situ point measurements. This study only covers the initial phase of the river monitoring activities. 

Keywords: UAS river monitoring, sediment transport, image processing, spectral indices, remote sensing, drones, water quality assessment

 

References:

Miglino, D., Jomaa, S., Rode, M., Isgro, F., & Manfreda, S. (2022). Monitoring Water Turbidity Using Remote Sensing Techniques. Environmental Sciences Proceedings, 21(1), 63.

How to cite: Saddi, K. C., Miglino, D., Jomaa, S., Rode, M., Isgro, F., and Manfreda, S.: Utilizing Unmanned Aerial Systems in River Water Quality Variability Monitoring, A European vision for hydrological observations and experimentation, Naples, Italy, 12–15 Jun 2023, GC8-Hydro-106, https://doi.org/10.5194/egusphere-gc8-hydro-106, 2023.