Conference proceeding
Acoustic Mapping Velocimetry (AMV) for in-situ bedload transport estimation
River Flow 2016, pp.1577-1584
01/01/2016
DOI: 10.1201/9781315644479-247
Abstract
Despite the importance of sediment transport processes in large rivers, the measurement of sediment transport rate in the in-situ, especially bedload, is difficult, costly and time consuming using conventional methods. In this paper, a novel indirect bedload estimation methodology is presented that is based on the Acoustic Mapping Velocimetry (AMV). AMV is a combination of acoustic and imaging techniques that provides 2D bedform velocity maps. As such, it can only be used if bedload is represented by bedform migration. This paper illustrates the applicability of the bedload estimation method using as test case a section of the Ohio River in the United States. Repeated measurements of the bathymetry provided by multi-beam echo sounder serve as input data for AMV. Cross-sectional distributions of bedload transport rates obtained with AMV are compared with the estimates provided by another non-intrusive technique, ISSDOTv2, developed by the US Army Corps of Engineers. The good agreement between the results with the two different methods is encouraging and suggests further field tests covering a wider range of hydro-morphological situations.
Details
- Title: Subtitle
- Acoustic Mapping Velocimetry (AMV) for in-situ bedload transport estimation
- Creators
- S. Baranya - Budapest Univ Technol & Econ, Budapest, HungaryM. Muste - University of IowaD. Abraham - USACE ERDC CHL, Vicksburg, MS USAT. C. Pratt - USACE ERDC CHL, Vicksburg, MS USA
- Contributors
- G Constantinescu (Editor)M Garcia (Editor)D Hanes (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- River Flow 2016, pp.1577-1584
- Publisher
- Crc Press-Balkema
- DOI
- 10.1201/9781315644479-247
- Number of pages
- 8
- Grant note
- Hungarian Academy of Sciences 11-TI-C06 / Ministry of land, Infrastructure and Transport (Korea) Dr. Imre Koranyi Scholarship
- Language
- English
- Date published
- 01/01/2016
- Academic Unit
- Geographical and Sustainability Sciences; IIHR--Hydroscience and Engineering; Civil and Environmental Engineering
- Record Identifier
- 9984460331002771
Metrics
1 Record Views