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Numerical simulation for runoff regulation in rain garden using 2D hydrodynamic Model
Ecological Engineering ( IF 3.8 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.ecoleng.2020.105794
Jingming Hou , Feifei Liu , Yu Tong , Kaihua Guo , Liping Ma , Donglai Li

Abstract In this paper, a numerical model of hydrological and hydrodynamic processes—GAST model (GPU Accelerated Surface Water Flow and Associated Transport) is introduced to simulate the runoff control effect of rain garden based on a two-dimensional dynamic wave method. After validation with an experimental rain garden and a real rain garden in a sponge community, the results indicated a good agreement between simulated process of water growth and measured results. The RMSE values of 0.00084 and 0.1809 were less than half of the standard deviation of the simulated values, which showed that the model had a good performance and it was an ideal tool for the runoff control effect simulation in a single bioretention facility. Additionally, the results simulated by GAST model and SWMM model were compared with the measured results. For GAST model, the RMSE was 0.1809, and for SWMM model, the RMSE was 0.5226. It meant that GAST model had a higher accuracy in this test case. This model was also used to study the runoff control rules of rain garden at different return periods. The results showed that when the ponding depth was 15 cm and the flow area ratio was 15:1, the shorter the return period was, the greater the runoff-control rate was. The runoff-control rate of rain garden was 31.89%–100% for 0.5a to 50a. When the return period was shorter, the difference of the runoff-control rate was greater, and it was the opposite when the return period was longer. For example, the runoff-control rate was 53.02%–100% for the 0.5a to 5a inflow conditions, and the difference of the control rates between 1a and 2a was 25.79%, while the runoff-control rate for the return periods of 5a and 50a was 31.89%–53.02%, of which the difference between 10a and 20a control rates was only 4.30%.

中文翻译:

基于二维水动力模型的雨水花园径流调节数值模拟

摘要 本文引入水文水动力过程数值模型——GAST模型(GPU Accelerated Surface Water Flow and Associated Transport),基于二维动态波法模拟雨水花园的径流控制效果。在对海绵社区中的实验雨水花园和真实雨水花园进行验证后,结果表明水生长的模拟过程与测量结果之间具有良好的一致性。0.00084和0.1809的RMSE值均小于模拟值标准差的一半,表明该模型具有良好的性能,是单一生物滞留设施径流控制效果模拟的理想工具。此外,将 GAST 模型和 SWMM 模型模拟的结果与实测结果进行了比较。对于 GAST 模型,RMSE 为 0.1809,对于 SWMM 模型,RMSE 为 0.5226。这意味着 GAST 模型在这个测试用例中具有更高的准确性。该模型还用于研究不同重现期雨水花园的径流控制规律。结果表明,当蓄水深度为15 cm、流面积比为15:1时,返水期越短,径流控制率越大。0.5a~50a雨水花园的径流控制率为31.89%~100%。重现期越短,径流控制率的差异越大,重现期越长则相反。例如,0.5a~5a进水工况的径流控制率为53.02%~100%,1a和2a控制率之差为25.79%,而5a重现期的径流控制率50a 是 31。
更新日期:2020-06-01
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