Uncertainty Analysis for Image-Based Streamflow Measurement: The Influence of Ground Control Points

Large-scale particle image velocimetry (LSPIV) provides a cost-effective, rapid, and secure monitoring tool for streamflow measurements. However, surveys of ground control points (GCPs) might affect the camera parameters through solution collinearity equations then impose uncertainty on measurement results. In this paper, we explore present an analysis image-based measurements with main focus points. The study area was Yufeng Creek, which is upstream Shimen Reservoir in Northern Taiwan. A system dual cameras set up platform gauge station to measure surface velocity. To evaluate feasibility accuracy LSPIV, comparison conventional using flow meter conducted. Furthermore, degree LSPIV influenced by quantified Monte Carlo simulation (MCS). Different operations (with survey times from one nine) standard errors (30 mm, 10 3 mm) during GCP were considered. Overall, impacts case single are apparent, i.e., shifted wider confidence interval. This can be alleviated if coordinates measured averaged three repetitions. terms errors, degrees (i.e., normalized intervals) 20.7%, 12.8%, 10.7%. Given smaller SE GCPs, less uncertain estimations river velocity could obtained.