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Multiple Camera Large-Scale Particle Image Velocimetry Feasibility for Rivers in Alaska
https://orcid.org/0000-0002-0738-8322
https://orcid.org/0000-0002-6205-6128
In hydro-environmental and natural resource studies, Alaska is characterized by sparse hydrologic data. The state’s hydrologic data set could be increased by using a nonintrusive gauging method, large-scale particle image velocimetry (LSPIV), which is limited in its current application to a single camera. This study seeks to assess the feasibility of using multiple cameras to diversify the conditions in which LSPIV may be applied. Using specialized software and the deployment of multiple cameras, we compared multiple-camera LSPIV discharge measurements with those determined by using an RDI River Pro acoustic Doppler current profiler and accepted single-camera practices used with LSPIV. The results indicate the feasibility of using multiple cameras, with additional work. Furthermore, the data indicate the possibility of an empirical relationship between the velocity index (α) and aspect ratio (B/H, width divided by average depth).
Multiple Camera Large-Scale Particle Image Velocimetry Feasibility for Rivers in Alaska
https://orcid.org/0000-0002-0738-8322
https://orcid.org/0000-0002-6205-6128
In hydro-environmental and natural resource studies, Alaska is characterized by sparse hydrologic data. The state’s hydrologic data set could be increased by using a nonintrusive gauging method, large-scale particle image velocimetry (LSPIV), which is limited in its current application to a single camera. This study seeks to assess the feasibility of using multiple cameras to diversify the conditions in which LSPIV may be applied. Using specialized software and the deployment of multiple cameras, we compared multiple-camera LSPIV discharge measurements with those determined by using an RDI River Pro acoustic Doppler current profiler and accepted single-camera practices used with LSPIV. The results indicate the feasibility of using multiple cameras, with additional work. Furthermore, the data indicate the possibility of an empirical relationship between the velocity index (α) and aspect ratio (B/H, width divided by average depth).
Multiple Camera Large-Scale Particle Image Velocimetry Feasibility for Rivers in Alaska
https://orcid.org/0000-0002-0738-8322
https://orcid.org/0000-0002-6205-6128
In hydro-environmental and natural resource studies, Alaska is characterized by sparse hydrologic data. The state’s hydrologic data set could be increased by using a nonintrusive gauging method, large-scale particle image velocimetry (LSPIV), which is limited in its current application to a single camera. This study seeks to assess the feasibility of using multiple cameras to diversify the conditions in which LSPIV may be applied. Using specialized software and the deployment of multiple cameras, we compared multiple-camera LSPIV discharge measurements with those determined by using an RDI River Pro acoustic Doppler current profiler and accepted single-camera practices used with LSPIV. The results indicate the feasibility of using multiple cameras, with additional work. Furthermore, the data indicate the possibility of an empirical relationship between the velocity index (α) and aspect ratio (B/H, width divided by average depth).
Multiple Camera Large-Scale Particle Image Velocimetry Feasibility for Rivers in Alaska
J. Cold Reg. Eng.
LaMesjerant, Eric N. (author) / Toniolo, Horacio (author)
2023-06-01
Article (Journal)
Electronic Resource
English
Hydrology , Multiple camera , LSPIV , Rivers
MULTI-CAMERA LARGE-SCALE PARTICLE IMAGE VELOCIMETRY
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