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A process-based method of estimating exponential decay parameters for particulate removal in a gravel trench

机译:估计砾石沟渠中颗粒去除指数衰减参数的基于过程的方法

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Observed reductions in pollutant concentrations through stormwater treatment devices commonly display the characteristic form of exponential decay, in which the rate of decrease of pollutant concentration with distance is proportional to the concentration. The observation of an apparently irreducible or background pollutant concentration, C*, in many devices has led to development of the two-parameter “k-C*” model. It is known that this model is too simplistic because the parameters k and C* are not constant but can vary greatly with pollutant concentration and hydraulic conditions. This paper presents an alternative exponential decay model for filtration of particulate pollutants, which is based on simple mathematical descriptions of key removal processes. The model delivers a process-based method for estimating the exponential decay constant. Moreover, the need to specify a background concentration is eliminated. To test the theory, the model is applied to the removal of clay and silica particles from horizontal flow through an experimental gravel trench. Particle concentrations were measured at nine locations along a 7.2 m long flume. The model agrees very well with the observed change in suspended solids concentration for the two pollutant materials and the range of flow rates tested. A single model parameter, notionally representing the “stickiness” of pollutant particles, is required for different pollutant materials.
机译:通过雨水处理设备观察到的污染物浓度降低通常表现出指数衰减的特征形式,其中污染物浓度随距离的降低速率与浓度成正比。在许多设备中观察到明显不可减少的或本底污染物浓度C *的现象,导致了两参数“ k-C *”模型的发展。众所周知,该模型过于简单,因为参数k和C *并非恒定不变,但会随污染物浓度和水力条件而变化很大。本文提出了一种用于过滤颗粒污染物的替代指数衰减模型,该模型基于关键去除过程的简单数学描述。该模型提供了一种基于过程的方法来估计指数衰减常数。此外,消除了指定背景浓度的需要。为了验证该理论,该模型适用于从通过实验性砾石沟的水平流中去除粘土和二氧化硅颗粒。在7.2 m长的水槽中的9个位置测量了颗粒浓度。该模型与观察到的两种污染物的悬浮固体浓度变化和测试的流量范围非常吻合。对于不同的污染物材料,需要一个单一的模型参数(名义上代表污染物颗粒的“粘性”)。

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