Feasibility of multiple camera large-scale particle image velocimetry techniques for rivers in Alaska
dc.contributor.author | LaMesjerant, Eric N. | |
dc.date.accessioned | 2021-11-04T22:57:04Z | |
dc.date.available | 2021-11-04T22:57:04Z | |
dc.date.issued | 2020-12 | |
dc.identifier.uri | http://hdl.handle.net/11122/12411 | |
dc.description | Thesis (M.S.) University of Alaska Fairbanks, 2020 | en_US |
dc.description.abstract | Alaska is characterized by sparse hydrologic data. Non-intrusive gauging is one method of increasing the data available but is limited in its current application. This study seeks to assess the feasibility of using commercially available software and multiple cameras to diversify the conditions for which large-scale particle image velocimetry may be applied. Using available software and the deployment of multiple cameras, stereoscopically determined discharge is compared with discharge determined using an acoustic Doppler current profiler and accepted single camera practices currently in use with large-scale particle image velocimetry. The results indicate that the use of commercial software and multiple cameras is feasible, with additional work, and that there is a statistically significant relationship between the velocity index (alpha) and aspect ratio (B/H, width divided by average depth). The velocity index-aspect ratio data indicate that the velocity index is a result of the environmental and geometric conditions for a given cross section and that an empirical relationship could be established. | en_US |
dc.description.sponsorship | Alyeska Pipeline Service Corporation, Alaska Department of Transportation and Public Facilities, National Institutes for Water Resources | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Streamflow velocity | en_US |
dc.subject | Alaska | en_US |
dc.subject | Stream measurements | en_US |
dc.subject | Rivers | en_US |
dc.subject.other | Master of Science in Civil Engineering | en_US |
dc.title | Feasibility of multiple camera large-scale particle image velocimetry techniques for rivers in Alaska | en_US |
dc.type | Thesis | en_US |
dc.type.degree | ms | en_US |
dc.identifier.department | Department of Civil, Geological and Environmental Engineering | en_US |
dc.contributor.chair | Toniolo, Horacio | |
dc.contributor.committee | Barnes, David | |
dc.contributor.committee | Shur, Yuri | |
refterms.dateFOA | 2021-11-04T22:57:05Z |