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Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0002-4546-1607Lundström, Staffan Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.Andersson, Anders Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.Hellström, Gunnar Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0002-8360-9051 Number of Authors: 4 2016 (English)In: World Journal of Mechanics, ISSN 2160-049X, E-ISSN 2160-0503, Vol. 6, no 4, 131-149 p.Article in journal (Refereed) Published

Abstract [en] : Understanding the flow characteristic in fishways is crucial for efficient fish migration. Flow characteristic measurements can generally provide quantitative information of velocity distributions in such passages; Particle Image Velocimetry (PIV) has become one of the most versatile techniques to disclose flow fields in general and in fishways, in particular. This paper firstly gives an overview of fish migration along with fish ladders and then the application of PIV measurements on the fish migration process. The overview shows that the quantitative and detailed turbulent flow information in fish ladders obtained by PIV is critical for analyzing turbulent properties andvalidating numerical results.

Place, publisher, year, edition, pages: 2016. Vol. 6, no 4, 131-149 p.

National Category : Fluid Mechanics and Acoustics

Research subject: Fluid Mechanics

Identifiers: URN: urn:nbn:se:ltu:diva-15246DOI: 10.4236/wjm.2016.64011Local ID: ebe9405c-5906-4a5d-81c7-3021593eab3dOAI: oai:DiVA.org:ltu-15246DiVA: diva2:988220

Note: Validerad; 2016; Nivå 1; 2016-11-28 (inah)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-03-13Bibliographically approved



Autor: Bin Asad, S M Sayeed

Fuente: http://ltu.diva-portal.org/







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