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Independent Validation of the SWMM Green Roof Module

机译:sWmm绿色屋顶模块的独立验证

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摘要

Green roofs are a popular Sustainable Drainage Systems (SuDS) technology. They provide multiple benefits, amongst which the retention of rainfall and detention of runoff are of particular interest to stormwater engineers. The hydrological performance of green roofs has been represented in various models, including the Storm Water Management Model (SWMM). The latest version of SWMM includes a new LID green roof module, which makes it possible to model the hydrological performance of a green roof by directly defining the physical parameters of a green roof’s three layers. However, to date, no study has validated the capability of this module for representing the hydrological performance of an extensive green roof in response to actual rainfall events. In this study, data from a previously-monitored extensive green roof test bed has been utilised to validate the SWMM green roof module for both long-term (173 events over a year) and short-term (per-event) simulations. With only 0.357% difference between measured and modelled annual retention, the uncalibrated model provided good estimates of total annual retention, but the modelled runoff depths deviated significantly from the measured data at certain times (particularly during summer) in the year. Retention results improved (with the difference between modelled and measured annual retention decreasing to 0.169% and the Nash-Sutcliffe Model Efficiency (NSME) coefficient for per-event rainfall depth reaching 0.948) when reductions in actual evapotranspiration due to reduced substrate moisture availability during prolonged dry conditions were used to provide revised estimates of monthly ET. However, this aspect of the model’s performance is ultimately limited by the failure to account for the influence of substrate moisture on actual ET rates. With significant differences existing between measured and simulated runoff and NSME coefficients of below 0.5, the uncalibrated model failed to provide reasonable predictions of the green roof’s detention performance, although this was significantly improved through calibration. To precisely model the hydrological behaviour of an extensive green roof with a plastic board drainage layer, some of the modelling structures in SWMM green roof module require further refinement.
机译:屋顶绿化是一种流行的可持续排水系统(SuDS)技术。它们具有多种好处,其中降雨的保持和径流的保持是雨水工程师特别感兴趣的。包括雨水管理模型(SWMM)在内的各种模型都代表了绿色屋顶的水文性能。最新版本的SWMMM包括一个新的LID屋顶绿化模块,通过直接定义屋顶绿化三层的物理参数,可以对屋顶绿化的水文性能进行建模。然而,迄今为止,尚无研究证实该模块能够代表实际降雨事件来表示宽阔的绿色屋顶的水文性能。在这项研究中,先前监控的大量绿色屋顶测试台的数据已被用于验证SWMM绿色屋顶模块的长期(一年活动173个)和短期(每个事件)模拟。未经测量的年保留量与建模的年保留量之间仅相差0.357%,未校准的模型提供了良好的总年保留量估算值,但建模的径流深度在一年中的某些时间(尤其是夏季)与测量数据有很大出入。当由于在较长时期内基质水分供应减少而导致实际蒸散量减少时,保留结果得到了改善(建模和实测的年度保留之间的差异降低至0.169%,纳什-萨特克利夫模型效率(NSME)的每事件降雨深度系数达到0.948)干燥条件用于提供每月ET的修订估算。但是,该模型性能的这一方面最终受制于无法考虑基质湿度对实际ET速率的影响。由于实测径流和模拟径流系数之间的显着差异以及NSME系数均小于0.5,因此未经校准的模型无法对绿屋顶的滞留性能做出合理的预测,尽管通过校准可以明显改善。为了精确地模拟带有塑料板排水层的宽阔绿色屋顶的水文行为,SWMM绿色屋顶模块中的某些建模结构需要进一步完善。

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    Stovin V.R.; Peng Z.;

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