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Modeling storm water control operated by green roofs at the urban catchment scale

机译:对城市集水区由绿化屋顶操作的雨水控制进行建模

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摘要

The urban catchment of Colle Ometti, in the town of Genoa, Italy, where storm water runoff is monitored for both quantity and quality, was selected as a test site for the hydrologic modelling of greening scenarios. Although no green roof installations are now present in the area, this study modelled – using extensive green roof details – the hydrologic effects of three hypothetical roof greenin scenarios at the catchment scale (conversion of 10%, 20%, and 100% impervious to green roofs). The modelling of green roof performances was undertaken using the EPA SWMM and was calibrated and validated on a small size green roof system completed in September 2007 in the laboratory of the Department of Civil, Environmental and Architectural Engineering (DICAT – University of Genoa). Precipitation scenarios were developed based on eighteen years of high resolution (one minute) rain gauge data in Genoa (1990-2007).Hydrologic modelling demonstrated that widespread green roof implementation can significantly reduce peak runoff rates and the lag time (7min and 15 min) runoff volume (detention effect) while after introducing the drying process operated by evapo-traspiration during the inter-event period the runoff volume reduction at the event scale (retention effect) can also be appreciated.
机译:意大利热那亚镇Colle Ometti的城市集水区被选为绿化情景的水文模拟试验场,那里对雨水径流的数量和质量都进行了监测。尽管目前该地区尚无绿化屋顶装置,但本研究使用广泛的绿化屋顶细节对集水规模下三种假设的屋顶绿化情景的水文效应进行了建模(转换为10%,20%和100%不渗透绿色)屋顶)。使用EPA SWMM对屋顶绿化性能进行建模,并在2007年9月在土木,环境和建筑工程系(DICAT-热那亚大学)的实验室中完成的小型屋顶绿化系统上进行了校准和验证。根据热那亚(1990-2007)的18年高分辨率(一分钟)雨量计数据开发了降水情景。水文模型表明,广泛的屋顶绿化实施可以显着减少峰值径流率和滞后时间(7分钟和15分钟)径流体积(滞留效应),而在事件间隔期间引入由蒸发蒸腾作用进行的干燥过程后,也可以意识到事件尺度下的径流体积减少(滞留效应)。

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