A methodology based on Particle image velocimetry for river ice velocity measurement

Daigle, Anik; Bérubé, Francis; Bergeron, Normand; Matte, Pascal

doi:10.1016/j.coldregions.2013.01.006

Cited by 18 publications

(24 citation statements)

References 12 publications

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“…During these periods, the maximum of surface velocity could reach 3 m/s approximately (see Figure 6h). Similar characteristics were also found in [7,19,26,27,28]. In terms of averaged surface velocity (shown in…”

Section: Resultssupporting

confidence: 82%

Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan

Huang¹,

Young²,

Liu³

2018

Preprint

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An automated discharge imaging system (ADIS), a non-intrusive and safe approach, was developed for measuring river flows during flash flood events. ADIS consists of dual cameras to capture complete surface images in the near and far fields. Surface velocities are accurately measured using the Large Scale Particle Image Velocimetry (LSPIV) technique. The stream discharges are then obtained from the depth-averaged velocity (based upon an empirical velocity-index relationship) and cross-section area. The ADIS was deployed at the Yu-Feng gauging station in Shimen Reservoir upper catchment, northern Taiwan. For a rigorous validation, surface velocity measurements were conducted using ADIS/LSPIV and other instruments. In terms of the averaged surface velocity, all measured results were in good agreement with small differences, i.e., 0.004 to 0.39 m/s and 0.023 to 0.345 m/s when compared to those from acoustic Doppler current profiler (ADCP) and surface velocity radar (SVR), respectively. The ADIS/LSPIV was further applied to measure surface velocities and discharges during typhoon events (i.e., Chan-Hom, Soudelor, Goni, and Dujuan) in 2015. The measured water level and surface velocity both showed rapid increases due to flash floods. The estimated discharges from ADIS/LSPIV and ADCP were compared, presenting good consistency with correlation coefficient R = 0.996 and normalized root mean square error NRMSE = 7.96%. The results of sensitivity analysis indicate that components till (τ) and roll (θ) of the camera are most sensitive parameter to affect the surface velocity using ADIS/LSPIV. Overall, the ADIS based upon LSPIV technique effectively measures surface velocities for reliable estimations of river discharges during typhoon events.

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Section: Resultssupporting

confidence: 82%

Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan

Huang¹,

Young²,

Liu³

2018

Preprint

View full text Add to dashboard Cite

show abstract

“…During these periods, the maximum of surface velocity could reach 3 m/s approximately (see Figure 6h). Similar characteristics were also found in [8,20,[27][28][29]. In terms of averaged surface velocity (shown in Table 2 Figure 7 shows a scatter plot for the averaged surface velocities from LSPIV and ADCP (or SVR) measurements.…”

Section: Measured Date In Year 2015supporting

confidence: 55%

Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan

Huang

Young

Liu

2018

Water

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An automated discharge imaging system (ADIS), which is a non-intrusive and safe approach, was developed for measuring river flows during flash flood events. ADIS consists of dual cameras to capture complete surface images in the near and far fields. Surface velocities are accurately measured using the Large Scale Particle Image Velocimetry (LSPIV) technique. The stream discharges are then obtained from the depth-averaged velocity (based upon an empirical velocity-index relationship) and cross-section area. The ADIS was deployed at the Yu-Feng gauging station in Shimen Reservoir upper catchment, northern Taiwan. For a rigorous validation, surface velocity measurements were conducted using ADIS/LSPIV and other instruments. In terms of the averaged surface velocity, all of the measured results were in good agreement with small differences, i.e., 0.004 to 0.39 m/s and 0.023 to 0.345 m/s when compared to those from acoustic Doppler current profiler (ADCP) and surface velocity radar (SVR), respectively. The ADIS/LSPIV was further applied to measure surface velocities and discharges during typhoon events (i.e., Chan-Hom, Soudelor, Goni, and Dujuan) in 2015. The measured water level and surface velocity both showed rapid increases due to flash floods. The estimated discharges from ADIS/LSPIV and ADCP were compared, presenting good consistency with correlation coefficient R = 0.996 and normalized root mean square error NRMSE = 7.96%. The results of sensitivity analysis indicate that the components till (τ) and roll (θ) of the camera are most sensitive parameters to affect the surface velocity using ADIS/LSPIV. Overall, the ADIS based upon LSPIV technique effectively measures surface velocities for reliable estimations of river discharges during typhoon events.

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“…For instance, surface flow velocity measurement has long been difficult to achieve using conventional remote sensing as velocity-sensing algorithms (e.g., particle image velocimetry or PIV; Daigle, Bérubé, Bergeron, & Matte, 2013) require multitemporal datasets. For instance, surface flow velocity measurement has long been difficult to achieve using conventional remote sensing as velocity-sensing algorithms (e.g., particle image velocimetry or PIV; Daigle, Bérubé, Bergeron, & Matte, 2013) require multitemporal datasets.…”

Section: Advancing the Use Of Uav And Sfm Photogrammetry To Improvementioning

confidence: 99%

“…Many of the river remote sensing methodologies that were previously only available to conventional remote sensing platforms can now be achieved using UAV-derived UAVs are also opening possibilities for the development of new methods and techniques not previously applicable to conventional remote sensing, which could also have benefits to the study and integrated management of Mediterranean IRES. For instance, surface flow velocity measurement has long been difficult to achieve using conventional remote sensing as velocity-sensing algorithms (e.g., particle image velocimetry or PIV; Daigle, Bérubé, Bergeron, & Matte, 2013) require multitemporal datasets. However, the ability of drones to capture image sequences while hovering or flying slowly means that velocity mapping in river environments is now a reality (e.g., Bolognesi et al, 2017;Perks, Russell, & Large, 2016).…”

Section: Advancing the Use Of Uav And Sfm Photogrammetry To Improvementioning

confidence: 99%

Mediterranean intermittent rivers and ephemeral streams: Challenges in monitoring complexity

et al. 2019

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In most cases, intermittent rivers and ephemeral streams (IRES) form the principal surface water bodies in Mediterranean regions and people are heavily dependent on them. Strong reliance on such streams results in numerous pressures, and complex relationships are formed between their various natural and anthropogenic components, which creates numerous challenges to decision-makers who require a better understanding of IRES to establish effective measures to restore ecosystem functionality and implement changes, while maintaining human well-being. In this paper, we present a conceptual framework that identifies process cascades and links to identify the variables governing Mediterranean IRES and map their complex interrelations.Climate is the main external driver, and it affects IRES through precipitation, temperature, wind action, and geomorphic factors, which in turn influence the physical and biological attributes of IRES. Monitoring challenges and knowledge gaps are presented from the conceptual framework, highlighting the need to identify solutions for the monitoring and mapping the spatio-temporal variability of flow regimes and their influence on bio-physical variables and mapping and quantifying ecosystem services for integrated environmental management. Finally, we argue that remote sensing techniques, specifically, the combined use of unmanned aerial vehicles and structure from motion photogrammetry, are key to bridging gaps in understanding and meeting the challenges of managing Mediterranean IRES.

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A methodology based on Particle image velocimetry for river ice velocity measurement

Cited by 18 publications

References 12 publications

Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan

Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan

Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan

Mediterranean intermittent rivers and ephemeral streams: Challenges in monitoring complexity

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