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Methods to model particulate matter clarification of unit operations subject to unsteady loadings

机译:在不稳定载荷下对单元操作中颗粒物澄清进行建模的方法

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Stormwater, and also wastewater unit operations (UOs) to a much lower extent, are subject to unsteady hydrodynamic and particulate matter (PM) fluxes. Simulating fully transient clarification of heterodisperse PM requires much greater computational expense compared to steady simulations. An alternative to fully unsteady methods are stepwise steady (SS) methods which use stepwise steady flow transport and fate to approximate unsteady PM clarification of a UO during transient hydraulic loadings such as rainfall-runoff. The rationale is reduced computational effort for computational fluid dynamics (CFD) compared to simulating continuous unsteadiness of such events. An implicit solution stepwise steady (IS3) method is one approach which builds upon previous SS methods. The IS3 method computes steady flows that are representative of unsteady PM transport throughout an unsteady loading. This method departs from some previous SS methods that assume PM fate can be simulated with an instantaneous clarifier (basin) influent flowrate coupled with a PM input. In this study, various SS methods were tested for basins of varying size and residence time to examine PM fate. Differences between SS methods were a function of turnover fraction indicating the role of unsteady flowrates on PM transport for larger basins of longer residence times. The breakpoint turnover fraction was between two and three. The IS3 method best approximated unsteady behavior of larger basins. These methods identified limitations when utilizing standard event-based loading analysis for larger basins. For basins with a turnover fraction less than two, the majority of effluent PM did not originate from the event-based flow; originating from previous event loadings or existing storage. Inter- and multiple event processes and interactions, that are dependent on this inflow turnover fraction, are not accounted for by single event-based inflow models. Results suggest the use of long-term continuous modeling combined with the IS3 method for hydraulic, PM and chemical loadings to a UO when the turnover fraction is less than three. (C) 2017 Elsevier Ltd. All rights reserved.
机译:雨水以及较低程度的废水处理单元(UO)受不稳定的流体动力和颗粒物(PM)流量的影响。与稳定模拟相比,模拟杂散PM的完全瞬态澄清需要大量的计算费用。完全不稳定的方法的一种替代方法是逐步稳定(SS)方法,该方法使用逐步稳定流传输和命运来估计瞬时水力负载(例如降雨径流)中UO的不稳定PM澄清。与模拟此类事件的持续不稳定相比,其基本原理是减少了计算流体动力学(CFD)的计算工作量。隐式解决方案逐步稳定(IS3)方法是一种基于先前SS方法的方法。 IS3方法计算的稳态流量代表整个非稳态载荷中非稳态PM的运输。该方法不同于一些以前的SS方法,后者假定可以使用瞬时澄清池(流域)进水流量与PM输入耦合来模拟PM的命运。在这项研究中,针对不同大小和停留时间的盆地对各种SS方法进行了测试,以检验PM的命运。 SS方法之间的差异是周转率的函数,表明在较长停留时间的较大盆地中,非恒定流速对PM输送的作用。断点周转率介于2到3之间。 IS3方法可以最好地近似较大盆地的非稳态行为。当对大型盆地使用基于事件的标准载荷分析时,这些方法确定了局限性。对于周转率小于2的流域,大部分出水PM并非基于事件流。源于先前的事件加载或现有存储。基于单个事件的流入模型不考虑依赖于此流入周转率的事件之间和多个事件过程和交互。结果表明,当周转率小于3时,使用长期连续建模与IS3方法相结合的方法来对UO进行水力,PM和化学负载。 (C)2017 Elsevier Ltd.保留所有权利。

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