Modeling of Bio-Sand Filter used to Remove Organic Matter from Rainwater for Predicting Sand Filter Depth and Water Velocity

  • NM S
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Abstract

Efficiency of bio-sand filter (BSF) must be monitored to ensure the quality of drinking water for consumer health and safety. A common approach to address the monitoring of raw and treated water remained in effective in controlling water quality. Accurate design to achieve an expected efficiency of the drinking water treatment system is still not available to most BSFs since the present physical models were not originally able to calculate any design parameter. The aim of this study was to develop the empirical models for calculating the depth of sand filter and water velocity to be used in operating the BSF treatment system to remove organic pollutants from rainwater. All parameters in equation are physically meaningful, experimental data validation showed the equations remained accurate. The performance of BSFs can be predicted using the models to gain an insight in designing of both depth of sand filter and water velocity.

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NM, S. (2017). Modeling of Bio-Sand Filter used to Remove Organic Matter from Rainwater for Predicting Sand Filter Depth and Water Velocity. MOJ Civil Engineering, 3(1). https://doi.org/10.15406/mojce.2017.03.00056

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