EGU21-13721 https://doi.org/10.5194/egusphere-egu21-13721 EGU General Assembly 2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Using computer vision to monitor varying water levels: an exploratory laboratory experience Jorge Isidoro1,4, Ricardo Martins2, and João de Lima4,3 1Civil Engineering Department, Institute of Engineering, University of Algarve, Faro, Portugal (
[email protected]) 2Centre for Environmental and Marine Studies (CESAM), Department of Environment and Planning, University of Aveiro, Aveiro, Portugal (
[email protected]) 3Civil Engineering Department, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal (
[email protected]) 4Marine and Environmental Sciences Centre (MARE), Coimbra, Portugal Monitoring water levels is fundamental in a variety of fields within geosciences, hydraulics, and hydrology. Examples of this can be found in the field in rivers, reservoirs, or surface runoff while, at a much lower scale, in the laboratory, e.g., open channel flow. This is an area of great complexity, due to the large diversity of spatial and temporal scales of hydraulic systems and phenomena such as the non-linearity of fluid mechanics, sediment or pollutant transport, turbulence, the interactions between water and solid surfaces (natural or artificial), or atmospheric boundary conditions. The last decade has brought important advances in techniques associated with the acquisition and analysis of images, techniques encompassed in what is currently called “computer vision”. In this work, a methodology based on image treatment and segmentation techniques was developed, which allows the detection of the free flow water surface over time in laboratory conditions using simple video equipment.