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Journal of Flow Visualization and Image Processing

Erscheint 4 Ausgaben pro Jahr

ISSN Druckformat: 1065-3090

ISSN Online: 1940-4336

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00013 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

Indexed in

NEAR-BED PARTICLE MOTION DUE TO TURBULENT FLOW USING IMAGE-PROCESSING TECHNIQUE

Volumen 15, Ausgabe 1, 2008, pp. 1-15
DOI: 10.1615/JFlowVisImageProc.v15.i1.10
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ABSTRAKT

The objective of this paper is to examine the behavior of particle movement due to near-bed turbulence over the rough bed surface in an open channel flow. The fluid velocity components with fluctuations are measured by 3D Micro-acoustic Doppler velocimeter (ADV) and subsequently, under given flow conditions images of released moving particles are recorded using a High-Speed Motion-Scope (HSMS) at the Fluvial Mechanics Laboratory of the Indian Statistical Institute, Calcutta. The recorded images are analyzed in the light of particle motions, trajectories, saltation heights and lengths of individual particles, angles of orientation and their interactions with the boundary using a digital image processing technique. The statistical distributions of the physical parameters of turbulence and particle motion have been discussed. The particle motion analysis at the near-bed turbulence using the image processing technique is a new emerging tool to the sediment sorting process.

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