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Experimental investigation of fine sediment deposition using particle image velocimetry

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Abstract

In order to create natural and healthy water ecosystems, the impact of hydrological processes in ponds must be identified. Pond structure may affect water quality in many ways. The present study provides a novel insight into some of the hydrological processes as well as how to employ retentions to enhance storm water detention and manage discharge. In this research, particle image velocimetry is utilized to study the two-dimensional collecting efficiency of fine sediments by retention structures with a range of hydraulic features. To examine the hydrodynamic behavior of water mixed with fine particles, a sediment basin was designed. Fluorescent polymer particles (1–50 μm) were subsequently added to this fluid mix. This study demonstrates that gravitational force increases fine particle settlement by over 50% at greater depths. The optimum collecting efficiency of sediments at the water surface was found to be around 80%. It was also determined that flow rate and particle size are directly correlated and that inlets and outlets at higher levels impede fine particle dispersion in the water column. For these reasons, it seems that adjusting the hydraulic parameters may diminish siltation.

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Acknowledgements

The authors are grateful to the government of Malaysia for the financial support from university of Malaya through the UMRG Grant No. RP008B-13sus and ministry of higher education (MOHE) through the FRGS grant no. FP028-2012A. The authors also would like to thank faculty of engineering, University of Malaya, for all the facilities provided.

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  1. Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Masoumeh MoayeriKashani, Lai Sai Hin & S. Ibrahim

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  1. Masoumeh MoayeriKashani
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  2. Lai Sai Hin
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  3. S. Ibrahim
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Correspondence to Lai Sai Hin.

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MoayeriKashani, M., Hin, L.S. & Ibrahim, S. Experimental investigation of fine sediment deposition using particle image velocimetry. Environ Earth Sci 76, 655 (2017). https://doi.org/10.1007/s12665-017-7001-2

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