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首页> 外文期刊>Journal of Environmental Engineering >Modeling Hydrologic Performance of a Green Roof System with HYDRUS-2D
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Modeling Hydrologic Performance of a Green Roof System with HYDRUS-2D

机译：使用HYDRUS-2D模拟屋顶绿化系统的水文性能

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A green roof is an environmentally friendly best management practice for volume reduction, peak flow reduction, and peak delay of stormwater runoff from impervious rooftops. In this study, HYDRUS-2D was used to model the hydrologic response of a pilot green roof system. The root-mean-square deviation (RMSD) of growth media volumetric water content values between model and field measurements ranged between 0.38 and 1.74%. A method was developed to use the water content profile at three media depths to derive regression equations that predict hydrologic performance. These equations show that runoff volume reduction follows an inverse relationship between media field capacity and precipitation depth, that peak flow reduction obeys a second-order equation between media field capacity and precipitation depth, and that peak delay time can be approximated by a third-order equation that includes maximum capacity and precipitation depth. The R(2)s values of the regressions range between 0.87 and 0.99. These derived equations can be used for performance evaluations or design work, including determining the necessary green roof media depth to meet Leadership in Energy and Environmental Design (LEED) runoff reduction requirements. (C) 2015 American Society of Civil Engineers.
机译：绿化屋顶是减少体积，减少峰值流量以及从不透水屋顶雨水径流的峰值延迟的环保最佳管理方法。在这项研究中，HYDRUS-2D用于模拟试验性屋顶绿化系统的水文响应。在模型测量和实地测量之间，生长介质体积水含量值的均方根偏差（RMSD）为0.38％至1.74％。开发了一种方法来使用三个介质深度处的含水量分布来推导预测水文性能的回归方程。这些方程表明，径流量减少遵循介质场容量与降水深度之间的反比关系，峰值流量减少服从介质场容量与降水深度之间的二阶方程，并且峰值延迟时间可以近似为三阶方程，包括最大容量和降水深度。回归的R（2）s值介于0.87和0.99之间。这些导出的方程式可用于性能评估或设计工作，包括确定必要的绿色屋顶介质深度，以满足能源和环境设计（LEED）减少径流方面的领导要求。 （C）2015年美国土木工程师学会。

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