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A stochastic model for two-station hydraulics exhibiting transient impact

机译:具有暂态冲击的两工位液压系统的随机模型

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The objective of the paper is to interpret data on water level variation in a river affected by overflow from a sewer system during rain. The simplest possible, hydraulic description is combined with stochastic methods for data analysis and model parameter estimation. This combination of deterministic and stochastic interpretation is called grey box modelling.As a deterministic description the linear reservoir approximation is used. A series of linear reservoirs in sufficient number will approximate a plug how reactor. The choice of number is an empirical expression of the longitudinal dispersion in the river. This approximation is expected to be a sufficiently good approximation as a tool for the ultimate aim: the description of pollutant transport in the river. The grey box modelling involves a statistical tool for estimation of the parameters in the deterministic model. The advantage is that the parameters have physical meaning, as opposed to many other statistically estimated, empirical parameters. The identifiability of each parameter, the uncertainty of the parameter estimation and the overall uncertainty of the simulation are determined.
机译:本文的目的是解释在雨中受到下水道系统溢流影响的河流水位变化的数据。最简单的液压描述与随机方法相结合,用于数据分析和模型参数估计。确定性和随机性解释的这种组合称为灰箱建模。使用线性储层近似作为确定性描述。足够数量的一系列线性储层将近似一个塞如何反应堆。数量的选择是河流纵向扩散的经验表达。作为实现最终目标的工具:描述河流中的污染物,这种近似被认为是足够好的近似。灰箱建模涉及用于估计确定性模型中参数的统计工具。优点是,与许多其他统计估计的经验参数相比,这些参数具有物理意义。确定每个参数的可识别性,参数估计的不确定性和模拟的总体不确定性。

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