Preprints
https://doi.org/10.5194/egusphere-2024-2172
https://doi.org/10.5194/egusphere-2024-2172
06 Sep 2024
 | 06 Sep 2024
Status: this preprint is open for discussion.

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

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

Abstract. The development of continuous river turbidity monitoring systems is essential, since it is a critical water quality metric linked to the presence of organic and inorganic suspended matter. Current monitoring practices are mainly limited by low spatial and temporal resolution, and costs. This results in the huge challenge to provide extensive and timely water quality monitoring at global scale. In this work, we propose an image analysis procedure for river turbidity assessment using different camera systems (i.e., fixed trap camera, camera on board of an Unmanned Aerial Vehicle, and a multispectral camera). We explored multiple types of camera installation setup during a river turbidity event artificially re-created on site. The outcomes prove that processed digital camera data can properly represent the turbidity trends. Specifically, the experimental activities revealed that single band values were the most reliable proxy for turbidity monitoring in short terms, better than band ratios and indexes. The best camera positioning, orientation and lens sensitivity, as well as daily and seasonal changes in lightning and river flow conditions, may affect the accuracy of the results. The reliability of this application will be tested under different hydrological and environmental conditions during our next field experiments. The final goal of the work is the implementation of this camera system to support existing monitoring techniques with early warning strategies and help in finding innovative solutions to water resources management.

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

Status: open (until 01 Nov 2024)

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

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Short summary
Turbidity is a key factor for water quality monitoring. We tested an image-based procedure in a full-scale river monitoring experiment using digital cameras. This procedure can increase our knowledge of the real status of water bodies, solving the spatial and temporal data resolution problems of the existing techniques, promoting also the development of early warning networks, moving water research forward thanks to a large increase of information and the reduction of operating expenses.