Permeable Pavements Hydraulic Modelling: An Experimental Study

Simone Infante, M. Mobilia, A. Longobardi, Mauro Albini
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引用次数: 2

Abstract

The changes in land use associated with urban development cause an increase in urban flooding. Low Impact Development (LID) systems help to mitigate this hazardous phenomenon. Among LIDs, Permeable Pavement (PP) proved to be a very effective technology in reducing surface runoff. In light of this, the present research analyzes the Retention Capacities (RC) of three different PP samples, which differ in terms of composition and percentage of bitumen and aggregates and have been realized according to Italian national regulations and technical specifications. Hydraulic laboratory tests are conducted using a rainfall simulator to quantify the Retention Capacity (RC) of the three samples in response to rainfall events with different intensities (5, 10, 20, 30 mm/h). The values of RC range between 85% and 20%, depending on the rainfall and sample properties, confirming the high potential of PPs in reducing surface stormwater production. The accuracy of HYDRUS-1D model in simulating the surface runoff from the PP samples has been investigated. HYDRUS-1D has been calibrated using measured data of runoff from the laboratory tests and adopting NSE as an optimization criterion. The parameters sets obtained by the calibration procedure give back Nash–Sutcliffe Efficiency (NSE) values close to 1 for each PP configuration, which means a very high accuracy in model prediction. Finally, a sensitivity analysis has allowed to identify, by means of a global sensitivity index S, the most and the less influential parameters within the model, which respectively are the saturated hydraulic conductivity Ks (S=0.57) and the tortuosity coefficient L (S=0.015).
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透水路面水力模型的实验研究
与城市发展相关的土地利用变化导致城市洪水增加。低影响开发(LID)系统有助于减轻这种危险现象。其中,透水路面(PP)被证明是一种非常有效的减少地表径流的技术。鉴于此,本研究分析了三种不同PP样品的保留容量(RC),这三种样品的沥青和骨料的组成和百分比不同,并已根据意大利国家法规和技术规范实现。利用降雨模拟器进行水力实验室试验,量化三种样品在不同强度(5、10、20、30 mm/h)降雨事件下的保留能力(RC)。根据降雨和样品性质的不同,RC值在85%到20%之间,证实了PPs在减少地表雨水产量方面的高潜力。研究了HYDRUS-1D模型模拟PP样品地表径流的准确性。HYDRUS-1D使用实验室测试的径流测量数据进行校准,并采用NSE作为优化准则。通过校准程序获得的参数集为每个PP配置提供了接近1的纳什-苏特克利夫效率(NSE)值,这意味着模型预测的精度非常高。最后,通过灵敏度分析,通过全局灵敏度指数S,可以确定模型中影响最大和影响较小的参数,分别是饱和水力传导率Ks (S=0.57)和扭曲系数L (S=0.015)。
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