Measuring topography of small-scale water surface waves

Daida, Jason M.; Lund, David; Wolf, Christine T.; Meadows, Guy; Schroeder, Karl F.; Vesecky, J.F.; Lyzenga, D.R.; Hannan, B.C.; Bertram, Robert R.

doi:10.1109/igarss.1995.524055

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…This is a task for which optical methods are best suited. Refractionbased reconstructions [37][38][39], stereophotography-based measurements [37,38,40,41], photogrammetry-based methods [42,43] (although restricted to steady flows), light absorption methods [44,45], stereo-correlation [46], stereo-refraction [47] and twin-camera refraction analysis of reflected laser light and PIV [48] have all been tested in attempts to capture moving water surfaces, each with their inherent drawbacks on requiring projected referenced grids, specific lighting, sophisticated and expensive equipment, and technical challenges in their setup and processing.…”

Section: Introductionmentioning

confidence: 99%

Towards transient experimental water surfaces: A new benchmark dataset for 2D shallow water solvers

Martínez-Aranda

Fernández-Pato

Caviedes‐Voullième

et al. 2018

Advances in Water Resources

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Section: Introductionmentioning

confidence: 99%

Towards transient experimental water surfaces: A new benchmark dataset for 2D shallow water solvers

Martínez-Aranda

Fernández-Pato

Caviedes‐Voullième

et al. 2018

Advances in Water Resources

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“…Any transparent object moving above a certain surface causes distortion in the appearance of the lower surface due to refraction at its surface. Most refraction methods use a single viewpoint and assume an orthographic projection [13,15,16]. Murase (1992) [5,13] describes an algorithm to reconstruct the surface shape of the non-rigid transparent object from the apparent motion of the observed pattern.…”

Section: Various Approaches To Surface Wave and Image Reconstructionmentioning

confidence: 99%

Tsunami warning system

Anonymous

1976

EoS Transactions

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Through extensive communications networks a warning system detects powerful high‐speed tsunami waves and alerts Pacific countries to possible impending disasters. The network was established in 1948 by the U.S. Coast and Geodetic Survey and has been operated by the National Oceanic and Atmospheric Administration since 1973. A dozen Pacific nations participate in the system's network of 31 seismological stations to detect earthquakes and 50 tide stations to monitor ocean activity for tsunami generation. The stations are scattered from Alaska to the tip of South America and west to Hong Kong, with stations on numerous islands in between.

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“…Some researchers investigate the use of infra-red and laser displacement techniques (Daida, 1995;Takamasa and Hazuku, 2000), while others use stereoscopic imaging to monitor the vertical location of one or more points of light projected onto the surface (Tsubaki and Fujita, 2005). These techniques however are difficult to implement for real flows since water surfaces are poor reflectors of light (most energy passes through the surface).…”

Section: Sensing Water Surfacesmentioning

confidence: 99%

Low cost on-line non-invasive sewer flow monitoring

Nichols

Tait

Horoshenkov

et al. 2013

Water Practice and Technology

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Article:Nichols, A. orcid.org/0000-0003-2821-621X, Tait, S.J., Horoshenkov, K.V. orcid.org/0000-0002-6188-0369 et al. (2 more authors) (2013) Low cost on-line non-invasive sewer flow monitoring. Water Practice and Technology, ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Low cost on-line non-invasive sewer flow monitoringA. Nichols*, S. J. Tait* K. V. Horoshenkov* S. J. Shepherd* and Yanmin Zhang** * Pennine Water Group, University of Bradford, Bradford, West Yorkshire, BD7 1DP (E-mail: a.nichols2@bradford.ac.uk; s.tait@bradford.ac.uk; k.horoshenkov@bradford.ac.uk; s.j.shepherd@bradford.ac.uk) ** R, D & I Project Manager, Innovation Delivery, Yorkshire Water Services (E-mail: yanmin.zhang@yorkshirewater.co.uk) Abstract A novel acoustic sensor has been developed, capable of remotely monitoring the free surface 'fingerprint' of shallow flows. Temporal and spatial properties of this pattern are shown to contain information regarding the nature of the flow itself. The remote measurement can thereby be used to infer the bulk flow properties such as depth, velocity, and the hydraulic roughness of the pipe. The instrument is non-invasive and is also low cost, low maintenance, and low power. Such a device will allow for widespread monitoring of flow conditions in drainage networks, enabling pro-active maintenance and reliable real time control.

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Measuring topography of small-scale water surface waves

Cited by 6 publications

References 2 publications

Towards transient experimental water surfaces: A new benchmark dataset for 2D shallow water solvers

Towards transient experimental water surfaces: A new benchmark dataset for 2D shallow water solvers

Tsunami warning system

Low cost on-line non-invasive sewer flow monitoring

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