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随机微分方程(SDE)模式被推荐用于氧化塘系统预测输出BOD的变化情况。假设每个氧化塘是以完全混合与生物降解一级反应动力学形势存在,就可以写出BOD的质量平衡。但考虑到输入变化的影响,所以在叙述处理过程时,要把随机干扰条件加入确定微分方程中,经较低矩量推导,就可得到出水BOD浓度的期望值和变化值。该模式是在假设的稳定态条件下,利用加拿大魁北克省的Sainte-Jalie和Lac-Ethemin市政氧化塘系统的运行数据,完成了模式的校准和检验。这种模式可以对氧化塘输出的波动进行可靠的预测。全文阐述了兼性曝气氧化塘不确定模式这一新方法.
The stochastic differential equation (SDE) mode is recommended for the change of the BOD output of the oxidation pond system. Assuming that each oxidation pond exists in the first-order reaction kinetics of complete mixing and biodegradation, the BOD mass balance can be written. However, taking into account the effects of input changes, when describing the processing process, random interference conditions should be added to determine the differential equations, and the expected value and variation of the effluent BOD concentration can be obtained through derivation of lower moments. The model was calibrated and tested using operational data from the Sainte-Jalie and Lac-Ethemin municipal oxidation pond systems in Quebec, Canada, under the assumption of steady state conditions. This model can reliably predict fluctuations in the oxidation pond output. This paper describes the new method of the indefinite mode of amphoteric aeration ponds.