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Floods are natural phenomena, which may turn into disasters causing widespread damage, health problems and even deaths. Nowadays, floods had become more serious and more frequent due to climatic changes. During flooding, discharge measurement still can be taken by standing on the bridge across the river using portable measurement instrument. However, it is too dangerous to get near to the river especially during high flood. Therefore, this study employs Particle Image Velocimetry (PIV) as a tool to measure the surface flow velocity. PIV is a image processing technique to track the movement of water from one point to another. The PIV codes are developed using Matlab. In this study, 18 ping pong balls were scattered over the surface of the drain and images were taken with a digital SLR camera. The images obtained were analyzed using the PIV code. Results show that PIV is able to produce the flow velocity through analyzing the series of images captured.
{"references": ["Gert, T, (2010). \"Development and Characterization of a Hydrodynamic Test Bed and a Digital Particle Image Velocimetry System\". Master's thesis, University of Tartu.", "Lewis, H, (2009). \"The Investigation of Surface Flow using Particle Image Velocimetry\", 3rd Year Project Report, University of Warwick.", "Raffel, M., Willert, C. and Kompenhans, J., (1998) \"Particle Image Velocimetry A Practical Guide\". Springer-Verlag. Berlin.", "Sveen, J.K.& Cowen, E.A. (2004).\"Quantitative imaging techniques and their application to wavy flows\"."]}
flow velocity, Particle Image Velocimetry, surface flow.
flow velocity, Particle Image Velocimetry, surface flow.
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