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首页> 外文期刊>MOJ Civil Engineering >Modeling of Bio-Sand Filter used to Remove Organic Matter from Rainwater for Predicting Sand Filter Depth and Water Velocity
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Modeling of Bio-Sand Filter used to Remove Organic Matter from Rainwater for Predicting Sand Filter Depth and Water Velocity

机译:用于从雨水中去除有机物的生物砂滤池的模型,用于预测砂滤池的深度和水速

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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.
机译:必须监控生物砂滤池(BSF)的效率,以确保饮用水质量,以确保消费者的健康和安全。解决原水和处理水监测的通用方法仍然有效地控制了水质。大多数BSF仍然无法获得实现饮用水处理系统预期效率的精确设计,因为当前的物理模型最初无法计算任何设计参数。这项研究的目的是开发用于计算BSF处理系统以去除雨水中有机污染物的沙滤器深度和水流速的经验模型。方程中的所有参数在物理上都是有意义的,实验数据验证表明方程仍然准确。使用这些模型可以预测BSF的性能,从而在设计砂滤深度和水速方面获得深刻见解。

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