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Prediction of odour emissions from sewage pump stations and vents on sewerage mains

机译:污水泵站和污水电源通风口的气味排放预测

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There are many complicating factors that will determine the odour emissions from vents at sewage pump stations and on rising mains. One of the main factors is the formation of sulfide which is dependent on residence time of the sewage and the surface area to volume ratio of the wet well and rising main. A case study of sulfide formation modelling for a holding tank, rising main and vent located on the receiving gravity main is presented in this paper. ASK has developed software that calculates the concentration of sulfide formed within wet wells and rising mains based on Uniquest's Sewex methodology of modelling the biochemical reactions with the rising main modelled as a plug flow system (Sharma et al, 2008). Initial concentrations and relevant parameters of the sewage, where unavailable, were assumed and tested to match the model predictions to measured values as closely as practicable. This approach takes into account the temporal and spatial variation of sulfide concentrations, in contrast to most models which assume a steady-state system. Another key factor of the release of odour is the rate at which hydrogen sulfide is released from the sewage, which is dependent on the concentration of sulfide in the liquid phase, the saturation concentration at equilibrium dependent on pH and temperature, and the turbulence of the system. When appropriate assumptions and initial conditions are set, the sulfide predictions match reasonably well with observations reported by Sharma et al (2008).
机译:有很多复杂的因素,将决定从污水泵站通风孔和电源上升异味排放。其中一个主要的因素是硫化物的形成,其是依赖于污水和表面积以湿井的体积比的停留时间和上升主。硫化物形成建模的存储罐为例,上升主和通风位于接收重力主要呈现于本文。 ASK已经开发了计算硫化物的基于建模与上升主建模为活塞流系统中的生物化学反应的Uniquest的Sewex方法湿井和上升的电源中形成的浓度软件(Sharma等人,2008)。初始浓度和污水,其中,不可用,假定和测试,以模型预测到测量值相匹配尽可能接近实际可行的相关参数。这种方法考虑到了硫化物浓度的时空变化,相反,即假定一个稳态系统的大部分车型。气味的释放的另一个关键因素是速率硫化氢从污水释放,这依赖于硫化物的在液相中,在平衡状态下的饱和浓度取决于pH值和温度的浓度,和的湍流系统。当适当的假设和初始条件被设置时,硫化物的预测相匹配得相当好通过Sharma等人(2008)报道的观察。

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