Journal article
On the Capabilities of Emerging Nonintrusive Methods to Estimate Bedform Characteristics and Bedload Rates
Water resources research, Vol.59(6), p.n/a
06/01/2023
DOI: 10.1029/2022WR034266
Abstract
A new measurement protocol, labeled Acoustic Mapping Velocimetry (AMV), has been successfully tested for in-situ estimation of bedload transport features in sandy beds. The AMV has proven efficient in using the dune-tracking method (DTM) for characterizing the bedform geometry and dynamics as well as for estimation of the rates of bedload transport. Given the novelty of the AMV protocol and its extensive reliance on multiple site-specific assumptions and user-defined parameters, a comparison of this emerging technique with other three non-intrusive DTM-based methods and analytical predictors is attempted in this paper. The comparison highlights that the AMV estimates are within 22% of the estimates with the other non-intrusive protocols and up to 98% different from analytical predictions. The observed differences are related to the possible sources of uncertainty in the AMV workflows and to the means to reduce their impact on the targeted estimations.
Details
- Title: Subtitle
- On the Capabilities of Emerging Nonintrusive Methods to Estimate Bedform Characteristics and Bedload Rates
- Creators
- M. Muste - University of IowaH. You - K Water Res Inst, Daejeon, South KoreaD. Kim - Dankook UniversityG. Fleit - Budapest University of Technology and EconomicsS. Baranya - Budapest University of Technology and EconomicsR. Tsubaki - Nagoya UniversityD. Abraham - U.S. Army Engineer Research and Development CenterT. O. McAlpin - U.S. Army Engineer Research and Development CenterK. E. Jones - Coastal Carolina University
- Resource Type
- Journal article
- Publication Details
- Water resources research, Vol.59(6), p.n/a
- DOI
- 10.1029/2022WR034266
- ISSN
- 0043-1397
- eISSN
- 1944-7973
- Publisher
- Amer Geophysical Union
- Number of pages
- 20
- Grant note
- EAR 1948944 / NSF; National Science Foundation (NSF) 1615012820 / Korea Environment Industry amp; Technology Institute (KEITI) - Korea Ministry of Environment (MOE); Ministry of Environment (ME), Republic of Korea Gl9AC00257 / US Geological Survey Cooperative Grant
- Language
- English
- Date published
- 06/01/2023
- Academic Unit
- IIHR--Hydroscience and Engineering; Geographical and Sustainability Sciences
- Record Identifier
- 9984459623202771
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