BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)

Flow Measurements in Sewers Based on Image Analysis: Automatic Flow Velocity Algorithm

D. Jeanbourquin, D. Sage, L. Nguyen, B. Schaeli, S. Kayal, D.A. Barry, L. Rossi

Water Science & Technology, vol. 64, no. 5, pp. 1108–1114, 2011.

Discharges of combined sewer overflows (CSOs) and stormwater are recognized as an important source of environmental contamination. However, the harsh sewer environment and particular hydraulic conditions during rain events reduce the reliability of traditional flow measurement probes. An in situ system for sewer water flow monitoring based on video images was evaluated. Algorithms to determine water velocities were developed based on image-processing techniques. The image-based water velocity algorithm identifies surface features and measures their positions with respect to real world coordinates. A web-based user interface and a three-tier system architecture enable remote configuration of the cameras and the image-processing algorithms in order to calculate automatically flow velocity on-line. Results of investigations conducted in a CSO are presented. The system was found to measure reliably water velocities, thereby providing the means to understand particular hydraulic behaviors. 

@ARTICLE(http://bigwww.epfl.ch/publications/jeanbourquin1101.html,
AUTHOR="Jeanbourquin, D. and Sage, D. and Nguyen, L. and Schaeli, B. and
	Kayal, S. and Barry, D.A. and Rossi, L.",
TITLE="Flow Measurements in Sewers Based on Image Analysis: {A}utomatic
	Flow Velocity Algorithm",
JOURNAL="Water Science \& Technology",
YEAR="2011",
volume="64",
number="5",
pages="1108--1114",
month="",
note="")

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