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Simulation and optimization of rain gardens via DRAINMOD model and response surface methodology
Ecohydrology & Hydrobiology ( IF 2.6 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.ecohyd.2020.03.002
Bei Zhang , Jiake Li , Yajiao Li

This study aims to optimize the key parameters of rain gardens by combining the hydrological models (RECARGA and DRAINMOD) with the response surface methodology (RSM). The impact factors and design parameters which are related to the regulation effects of the two rain gardens (one is traditional media, the other is modified media) are studied. Results indicate that the DRAINMOD shows greater ability to optimize the rain gardens comparing with RECARGA. The runoff reduction rates are significantly decreased by 16.0% and 19.9% by increasing rainfall conditions and the ratio of rain garden area to catchment area (Rr/c) respectively. NO3-N is significantly reduced by (22.5%, 22.5% and 17.9%) on different rainfall conditions, concentrations and Rr/c, respectively, and the levels of pollutant reduction are better than NH3-N. With the thickness of aquifer, filler layer and internal aquifer increasing, the runoff reduction rates are increased by 19.1%, 38.7% and 5.0%, respectively. Meanwhile, the load reduction rates for NO3-N are increased by 5.6%, 28.9% and 16.4%, and for NH3-N are 6.2%, 17.0% and 14.0%, respectively. The RSM is utilized to explore the correlation between different scenarios and water quantity & quality reduction rates, which is used in the optimization of the rain gardens. Optimization results show that with the constraint of higher inflow concentration and 80% of the annual runoff reduction rate, the total height of rain garden with modified media is lower than the traditional one. The results provide a theoretical basis and important data support for the rational construction of rain gardens.



中文翻译:

用DRAINMOD模型和响应面方法模拟和优化雨水花园。

这项研究旨在通过将水文模型(RECARGA和DRAINMOD)与响应面方法(RSM)相结合来优化雨林的关键参数。研究了与两个雨场(一种是传统媒体,另一种是改良媒体)的调控效果有关的影响因素和设计参数。结果表明,与RECARGA相比,DRAINMOD具有更好的优化雨林的能力。通过增加降雨条件和雨花园面积与集水面积之比(R r / c),径流减少率分别显着降低16.0%和19.9%。在不同的降雨条件,浓度和R r / c下,NO 3 -N显着减少(22.5%,22.5%和17.9%)污染物的还原水平分别优于NH 3 -N。随着含水层,填料层和内部含水层厚度的增加,径流减少率分别增加了19.1%,38.7%和5.0%。同时,NO 3 -N的负荷减少率增加了5.6%,28.9%和16.4%,而NH 3的负荷减少率增加了-N分别为6.2%,17.0%和14.0%。RSM用于探究不同情景与水量和水质降低率之间的相关性,用于优化雨水花园。优化结果表明,在较高的入水浓度和年径流量减少率的80%的约束下,采用改良介质的雨林总高度低于传统的。研究结果为合理建设雨园提供了理论依据和重要数据依据。

更新日期:2020-05-01
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