In this study, rainfall-runoff data of four green roofs with varying structural configurations under dry and wet substrates were analyzed to acquire the effective estimation for Runoff Coefficient (Cv) and Curve Number (CN) parameters. Results showed that for the dry and wet substrates, averaged runoff retention of vegetated green roofs varied from 34.7 to 48.5% and from 14.7 to 30.6%, that for bare green roofs was 64.9 and 35.1%, respectively. For dry and wet substrates, mean Cv of vegetated green roofs was 0.58 and 0.75, respectively. For vegetated green roofs under the wet substrate, average CN values ranged from 96 to 98, meanwhile for dry substrate, average CN varied from 93 to 97. For bare green roof, average CN was 93 for dry substrate and 97 for wet substrate. Predicted runoff using the SCS-CN method exhibited a good linear fit with the observed runoff of green roofs. A significantly positive relationship was found between initial substrate moisture and runoff coefficient as well as CNs. The drier initial substrate moisture conditions corresponded to the lower runoff coefficient and curve numbers. These results would facilitate the proper use of estimated Cv and CN values of green roofs for urban stormwater management in a semi-arid region.

中文翻译：

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使用径流系数和曲线数以及基质水分的影响评估大面积绿色屋顶的径流滞留

在这项研究中，分析了在干湿基质下具有不同结构配置的四个绿色屋顶的降雨径流数据，以获得对径流系数 (Cv) 和曲线数 (CN) 参数的有效估计。结果表明，对于干湿基质，植被绿色屋顶的平均径流截留率在 34.7% 至 48.5% 和 14.7% 至 30.6% 之间变化，裸露绿色屋顶的径流截留率分别为 64.9% 和 35.1%。对于干底和湿底，植被绿色屋顶的平均 Cv 分别为 0.58 和 0.75。对于湿基质下的植被绿色屋顶，平均 CN 值在 96 到 98 之间，而对于干基质，平均 CN 值在 93 到 97 之间变化。对于裸露的绿色屋顶，干基质的平均 CN 值为 93，湿基质的平均 CN 值为 97。使用 SCS-CN 方法预测的径流与观察到的绿色屋顶径流具有良好的线性拟合。发现初始基质水分与径流系数以及 CNs 之间存在显着的正相关关系。较干燥的初始基质水分条件对应于较低的径流系数和曲线数。这些结果将有助于在半干旱地区正确使用绿色屋顶的估计 Cv 和 CN 值进行城市雨水管理。