Considerations on Acoustic Mapping Velocimetry (AMV) Application for in-situ Measurement of Bedform Dynamics
Non-intrusive technologies for the in-situ measurement of river morphological features are increasingly popular in the scientific and practice communities due to their efficient and productive data acquisition. While the measurement of suspended load with optical and acoustic technologies is current...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:318e5d2d28404b95b08c2736513a81992021-11-04T09:31:22ZConsiderations on Acoustic Mapping Velocimetry (AMV) Application for in-situ Measurement of Bedform Dynamics2624-937510.3389/frwa.2021.715308https://doaj.org/article/318e5d2d28404b95b08c2736513a81992021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/frwa.2021.715308/fullhttps://doaj.org/toc/2624-9375Non-intrusive technologies for the in-situ measurement of river morphological features are increasingly popular in the scientific and practice communities due to their efficient and productive data acquisition. While the measurement of suspended load with optical and acoustic technologies is currently an active area of research, the measurement of bedform dynamics has not experienced similar progress. We have successfully demonstrated through laboratory experiments that, by combining acoustic mapping with image velocimetry concepts, we can characterize the planar dynamics of the bedform migration. The technique, labeled Acoustic Mapping Velocimetry (AMV), is currently transferred to field conditions using multiple-beam echo-sounders (MBES) for producing acoustic maps. During this transfer, new questions emerged because, in field conditions, many of the morphologic features targeted by AMV measurements are not a priori known. Moreover, the image velocimetry processing can be approached with several alternatives, each of them characterized by strength and limitations. This paper assembles guidelines for establishing optimal parameters for the acquisition of the acoustic maps based on analytical considerations, and for selecting essential features of the processing for image velocimetry. We test these guidelines using MBES data acquired in the Mississippi River.H. YouM. MusteD. KimS. BaranyaFrontiers Media S.A.articlebedform geometrybedform dynamicsacoustic mappingimage velocimetryacoustic mapping velocimetryEnvironmental technology. Sanitary engineeringTD1-1066ENFrontiers in Water, Vol 3 (2021) |
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bedform geometry bedform dynamics acoustic mapping image velocimetry acoustic mapping velocimetry Environmental technology. Sanitary engineering TD1-1066 |
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bedform geometry bedform dynamics acoustic mapping image velocimetry acoustic mapping velocimetry Environmental technology. Sanitary engineering TD1-1066 H. You M. Muste D. Kim S. Baranya Considerations on Acoustic Mapping Velocimetry (AMV) Application for in-situ Measurement of Bedform Dynamics |
description |
Non-intrusive technologies for the in-situ measurement of river morphological features are increasingly popular in the scientific and practice communities due to their efficient and productive data acquisition. While the measurement of suspended load with optical and acoustic technologies is currently an active area of research, the measurement of bedform dynamics has not experienced similar progress. We have successfully demonstrated through laboratory experiments that, by combining acoustic mapping with image velocimetry concepts, we can characterize the planar dynamics of the bedform migration. The technique, labeled Acoustic Mapping Velocimetry (AMV), is currently transferred to field conditions using multiple-beam echo-sounders (MBES) for producing acoustic maps. During this transfer, new questions emerged because, in field conditions, many of the morphologic features targeted by AMV measurements are not a priori known. Moreover, the image velocimetry processing can be approached with several alternatives, each of them characterized by strength and limitations. This paper assembles guidelines for establishing optimal parameters for the acquisition of the acoustic maps based on analytical considerations, and for selecting essential features of the processing for image velocimetry. We test these guidelines using MBES data acquired in the Mississippi River. |
format |
article |
author |
H. You M. Muste D. Kim S. Baranya |
author_facet |
H. You M. Muste D. Kim S. Baranya |
author_sort |
H. You |
title |
Considerations on Acoustic Mapping Velocimetry (AMV) Application for in-situ Measurement of Bedform Dynamics |
title_short |
Considerations on Acoustic Mapping Velocimetry (AMV) Application for in-situ Measurement of Bedform Dynamics |
title_full |
Considerations on Acoustic Mapping Velocimetry (AMV) Application for in-situ Measurement of Bedform Dynamics |
title_fullStr |
Considerations on Acoustic Mapping Velocimetry (AMV) Application for in-situ Measurement of Bedform Dynamics |
title_full_unstemmed |
Considerations on Acoustic Mapping Velocimetry (AMV) Application for in-situ Measurement of Bedform Dynamics |
title_sort |
considerations on acoustic mapping velocimetry (amv) application for in-situ measurement of bedform dynamics |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/318e5d2d28404b95b08c2736513a8199 |
work_keys_str_mv |
AT hyou considerationsonacousticmappingvelocimetryamvapplicationforinsitumeasurementofbedformdynamics AT mmuste considerationsonacousticmappingvelocimetryamvapplicationforinsitumeasurementofbedformdynamics AT dkim considerationsonacousticmappingvelocimetryamvapplicationforinsitumeasurementofbedformdynamics AT sbaranya considerationsonacousticmappingvelocimetryamvapplicationforinsitumeasurementofbedformdynamics |
_version_ |
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