Loughborough University
Browse

Discharge estimation in small irregular river using LSPIV

Download (390.25 kB)
journal contribution
posted on 2012-12-20, 10:10 authored by Xin Sun, Koji Shiono, Jim Chandler, Ponnambalam Rameshwaran, R.H.J. Sellin, I. Fujita
This paper reports on an estimation method used to quantify discharge in the small irregular channel of the River Blackwater, using large-scale particle image velocimetry (LSPIV). The test reach (250 m × 60 m) consists of relatively straight and multiple meander channels, with a bankfull depth of 0·90 m and a base width of 4·25 m. Water surface velocities were measured by LSPIV at three sections along the river. Acoustic Doppler velocimeter (ADV) was also used on two occasions to measure velocity profiles for the validation of water surface velocities of LSPIV. In addition to this field work, velocity data derived from a 1:5 physical model of the river were available to compare with the field data. A comparison between the LSPIV data and ADV data was made and agreement was confirmed. The discharge correction factor method was suggested to estimate the discharge in the river. Discharge correction factors of 0·90–1·05 and 1·10–1·15 were proposed for inbank and overbank flow conditions respectively.

History

School

  • Architecture, Building and Civil Engineering

Citation

SUN, X. ... et al., 2010. Discharge estimation in small irregular river using LSPIV. Proceedings of the Institution of Civil Engineers - Water Management, 163 (5), pp. 247 - 254.

Publisher

© Thomas Telford Ltd.

Version

  • VoR (Version of Record)

Publication date

2010

Notes

This article was published in the journal, Proceedings of the ICE - Water Management [© Thomas Telford Ltd.] and the definitive version is available at: http://dx.doi.org/10.1680/wama.2010.163.5.247 The journal's homepage is at: http://www.icevirtuallibrary.com/content/serial/wama and permission is granted by ICE Publishing to print one copy for personal use. Any other use of these PDF files is subject to reprint fees.

ISSN

1741-7589

Language

  • en