Abstract A coupled residence time distribution (RTD) and mixed-order model was developed to simulate the performance of a pilot high rate algal pond (HRAP) for wastewater treatment under different operational conditions requiring simple influent and effluent wastewater characteristics as input data. The model showed potential in general assessment of the HRAP system performance, successfully capturing the magnitude as well as general trend of COD, TKN, TN and TP concentrations with acceptable accuracy (Nash-Sutcliffe Efficiency (NSE) value up to 0.99). However, due to the common limitation of black box model type, the detailed agreement between model and experimental data was highly varied, sometime unsatisfactory performance (NSE

中文翻译：

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一种耦合 RTD 和混合阶动力学模型，用于预测不同操作条件下的高速藻池废水处理：性能评估和分级应用

摘要 开发了耦合停留时间分布 (RTD) 和混合阶数模型，以模拟中试高速藻池 (HRAP) 在需要简单进水和出水废水特征作为输入数据的不同操作条件下处理废水的性能。该模型在 HRAP 系统性能的一般评估中显示出潜力，以可接受的精度成功捕获 COD、TKN、TN 和 TP 浓度的量级和总体趋势（纳什-萨特克利夫效率 (NSE) 值高达 0.99）。然而，由于黑盒模型类型的共同限制，模型和实验数据之间的详细一致性差异很大，有时表现不尽如人意（NSE