Adaptively monitoring streamflow using a stereo computer vision system

作者：Nicholas Hutley, Ryan Beecroft, Daniel A. Wagenaar, Josh Soutar, Blake Edwards, Nathaniel Deering, Alistair Grinham, Simon Albert · 发表于：Hydrology and earth system sciences · 年份：2023 · DOI：10.5194/hess-27-2051-2023 · 被引用次数：11 · 研究领域：Flood Risk Assessment and Management、Hydrology and Sediment Transport Processes、Hydrology and Watershed Management Studies

Abstract. The gauging of free surface flows in waterways provides the foundation for monitoring and managing the water resources of built and natural environments. A significant body of literature exists around the techniques and benefits of optical surface velocimetry methods to estimate flows in waterways without intrusive instruments or structures. However, to date, the operational application of these surface velocimetry methods has been limited by site configuration and inherent challenging optical variability across different natural and constructed waterway environments. This work demonstrates a significant advancement in the operationalisation of non-contact stream discharge gauging applied in the computer vision stream gauging (CVSG) system through the use of methods for remotely estimating water levels and adaptively learning discharge ratings over time. A cost-effective stereo camera-based stream gauging device (CVSG device) has been developed for streamlined site deployments and automated data collection. Evaluations between reference state-of-the-art discharge measurement technologies using DischargeLab (using surface structure image velocimetry), Hydro-STIV (using space–time image velocimetry), acoustic Doppler current profilers (ADCPs), and gauging station discharge ratings demonstrated that the optical surface velocimetry methods were capable of estimating discharge within a 5 %–15 % range between these best available measurement approaches. Furthermore, resul...