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Non-invasive measurement of fluvial ...
~
Rennie, Colin David.
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Non-invasive measurement of fluvial bedload transport velocity using an acoustic Doppler current profiler.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Non-invasive measurement of fluvial bedload transport velocity using an acoustic Doppler current profiler./
Author:
Rennie, Colin David.
Description:
232 p.
Notes:
Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2307.
Contained By:
Dissertation Abstracts International64-05B.
Subject:
Engineering, Civil. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ79248
ISBN:
061279248X
Non-invasive measurement of fluvial bedload transport velocity using an acoustic Doppler current profiler.
Rennie, Colin David.
Non-invasive measurement of fluvial bedload transport velocity using an acoustic Doppler current profiler.
- 232 p.
Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2307.
Thesis (Ph.D.)--The University of British Columbia (Canada), 2003.
A new method for measurement of bedload transport velocity using an acoustic Doppler current profiler (aDcp) is evaluated. Conventional bedload sampling involves physical samplers that are notoriously inaccurate and of limited use for characteri
ISBN: 061279248XSubjects--Topical Terms:
783781
Engineering, Civil.
Non-invasive measurement of fluvial bedload transport velocity using an acoustic Doppler current profiler.
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232 p.
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Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2307.
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Advisers: Robert Millar; Michael Church.
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Thesis (Ph.D.)--The University of British Columbia (Canada), 2003.
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A new method for measurement of bedload transport velocity using an acoustic Doppler current profiler (aDcp) is evaluated. Conventional bedload sampling involves physical samplers that are notoriously inaccurate and of limited use for characteri
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The evaluation of the method had four components: field demonstration, laboratory calibration, development of an error model to separate the bedload velocity signal from the noise in the data, and use of the method in the field to characterize t
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ79248
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