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Modeling volumetric clarifying filtration of particulate matter for transient rainfall-runoff loadings

机译:为瞬时降雨-径流负荷建模颗粒澄清过滤的模型

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摘要

Volumetric clarification incorporating filtration with engineered granular media is increasingly used as a viable combined unit operation for separation of rainfall-runoff particulate matter (PM). Such combined unit operations are typically operated at the catchment-level for rainfall-runoff clarification of transient loadings, in contrast to centralized watershed or sewershed regional treatment. Using computational fluid dynamics (CFD), this study models the PM separation by a volumetric clarifying filter (VCF) subject to unsteady event-based hydrologic, hydraulic, mass, and particle size distribution (PSD) loadings. Modeled and measured physical model results indicate that the VCF is capable of PM load reductions and effluent concentrations at or below 30 mg/L. These results, with PM measured as suspended sediment concentration (SSC) represent reductions ranging from 83 to 97% on an event basis. CFD model results predict effluent PM mass loads. Modeled effluent median particle diameter (d50_m), as an index for the filtered effluent PSD, reproduces the d50 m from the VCF physical model on an event basis. Filter head loss is examined as a function of flow rate. Despite geometric asymmetry of the multiple radial cartridge configuration tested, hydraulic loading for each individual cartridge is relatively uniform.
机译:结合工程颗粒介质过滤技术进行体积澄清的方法越来越多地用作分离降雨径流颗粒物(PM)的可行组合装置。与集中式集水区或下水道区域处理相比,这种组合式单元操作通常在集水区级别进行操作,以使降雨径流澄清瞬时负荷。使用计算流体动力学(CFD),本研究对体积澄清过滤器(VCF)的PM分离进行建模,该过滤器承受基于非稳态事件的水文,水力,质量和粒径分布(PSD)负荷。建模和测量的物理模型结果表明,VCF能够降低或降低30 mg / L的PM负荷和废水浓度。这些结果,以PM作为悬浮沉积物浓度(SSC)进行测量,表示事件的减少幅度为83%至97%。 CFD模型结果可预测废水的PM质量负荷。建模后的出水中值粒径(d50_m),作为已过滤出水PSD的指标,可基于事件从VCF物理模型中再现d50 m。检查滤头损失与流量的关系。尽管测试的多个径向滤芯配置在几何上是不对称的,但是每个单独的滤芯的液压负载是相对均匀的。

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