Conference proceeding
Real-Time Stream Monitoring Using Mobile Largescale Particle Image Velocimetry
Proceedings of the 31st IAHR World Congress (Seoul, 2005), pp.386-395
IAHR World Congress, 31st (Seoul, South Korea, 09/11/2005 - 09/16/2005)
2005
Abstract
Emerging cyberinfrastructure-based decision-support systems for aquatic environments assume coupling of real-time monitoring instruments with data-driven models covering spatial and temporal scales from microhabitat to watershed levels. This paper describes a Mobile Large-Scale Particle Image Velocimetry (MLSPIV) mobile unit that allows visualization and quantitative measurements of instantaneous and averaged flow characteristics in rivers over large areas. The unmatched spatial resolution along with the remote, real-time, and fully digital nature of LSPIV makes it an ideal cybertool either as a stand-alone instrument, as presented in the paper, or integrated in large-scale networks. Preliminary tests with similar stationary LSPIV configurations proved that the technique is reliable, flexible, and efficient for monitoring, design, hazard warning, and decision-making in riverine ecosystems. The discharge measurement results using MLSPIV show good agreement to the value from the USGS stream gaging station.
Details
- Title: Subtitle
- Real-Time Stream Monitoring Using Mobile Largescale Particle Image Velocimetry
- Creators
- Yeri Kim (Author)Marian V Muste (Author) - University of Iowa, IIHR--Hydroscience and EngineeringAnton Kruger - University of Iowa, Civil and Environmental EngineeringWitold F Krajewski - University of Iowa, Civil and Environmental EngineeringA Allen Bradley Jr (Author) - University of Iowa, Civil and Environmental EngineeringLarry J Weber (Author) - University of Iowa, Civil and Environmental Engineering
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 31st IAHR World Congress (Seoul, 2005), pp.386-395
- Conference
- IAHR World Congress, 31st (Seoul, South Korea, 09/11/2005 - 09/16/2005)
- Publisher
- IAHR
- Language
- English
- Date published
- 2005
- Academic Unit
- Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Electrical and Computer Engineering
- Record Identifier
- 9984572776702771
Metrics
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