Articles | Volume 29, issue 17
https://doi.org/10.5194/hess-29-4133-2025
https://doi.org/10.5194/hess-29-4133-2025
Technical note
 | 
08 Sep 2025
Technical note |  | 08 Sep 2025

Technical note: Image processing for continuous river turbidity monitoring – full-scale tests and potential applications

Domenico Miglino, Seifeddine Jomaa, Michael Rode, Khim Cathleen Saddi, Francesco Isgrò, and Salvatore Manfreda

Viewed

Total article views: 3,902 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,984 315 603 3,902 77 82
  • HTML: 2,984
  • PDF: 315
  • XML: 603
  • Total: 3,902
  • BibTeX: 77
  • EndNote: 82
Views and downloads (calculated since 06 Sep 2024)
Cumulative views and downloads (calculated since 06 Sep 2024)

Viewed (geographical distribution)

Total article views: 3,902 (including HTML, PDF, and XML) Thereof 3,902 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Oct 2025
Download
Short summary
Turbidity is a key factor for water quality monitoring. Here, an image-based procedure is tested in a full-scale river monitoring experiment using digital cameras. This approach can enhance our understanding of the real-time status of waterbodies, overcoming the spatial and temporal resolution limitations of existing methods. It also facilitates early-warning systems, advances water research through increased data availability and reduces operating costs.
Share