Bioretention is one of low-impact development measures, which widely used not only because it can reduce stormwater runoff total volume, decrease peak flow rate and delay peak flow time, but also can remove the runoff pollutants. Infiltration is an important hydrological process for bioretention to evaluate its runoff total volume reduction and pollutants removal. So, it is important to find an optimal infiltration model that can well describe the infiltration performance of bioretention. The Horton, Philip and Kostiakov infiltration models were selected to compare their accuracy when using for describe the infiltration characteristics of bioretention, and the errors between the different models simulate results and experiment results were assessed via the maximum absolute error (MAE), bias and coefficient of determination (R²). The experimental results showed that Horton model is fitting well and flexible under different experiment conditions, especially when the hydraulic head was 10 cm, with MAE of 0.50–0.81 cm/h, bias of 0.1–0.23 cm/h and R² of 0.98–0.99. R² of the Philip and Kostiakov models were all over than 0.87 at the initial infiltration period, but the model fitting accuracy decreased significantly with infiltration time elapse. Furthermore, the total runoff volume capture ratio and emptying time were advanced used to evaluate the flexibility of Horton model, and the Nash-Sutcliffe efficiency coefficients of them were over than 0.61 and 0.58, respectively. Therefore, the Horton model can be optimal selected to describe the infiltration process of bioretention and for its hydrological evaluation.

生物滞留是一种低影响开发措施，它不仅可以减少雨水径流总量，降低峰值流速和延迟峰值流量时间，而且还可以去除径流污染物，因此被广泛使用。入渗是生物滞留的重要水文过程，可用于评估其径流总体积减少和污染物去除。因此，找到一个能够很好地描述生物滞留渗透性能的最佳渗透模型非常重要。选择Horton、Philip和Kostiakov渗透模型比较它们在描述生物滞留渗透特性时的准确性，并通过最大绝对误差（MAE）、偏差和系数评估不同模型模拟结果和实验结果之间的误差决心（R²）。实验结果表明，Horton 模型在不同的实验条件下拟合良好且灵活，尤其是当水头为 10 cm 时，MAE 为 0.50-0.81 cm/h，偏差为 0.1-0.23 cm/h，R ²为 0.98- 0.99。[R ²Philip 和 Kostiakov 模型的 初始渗透期均超过 0.87，但随着渗透时间的推移，模​​型拟合精度显着下降。此外，利用总径流体积捕获率和排空时间来评估 Horton 模型的灵活性，它们的 Nash-Sutcliffe 效率系数分别大于 0.61 和 0.58。因此，可以最优选择Horton模型来描述生物滞留的入渗过程及其水文评价。