Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 132, Fisciano (Salerno) 84084, Italy E-mail:
Water Sci Technol. 2020 Apr;81(7):1375-1387. doi: 10.2166/wst.2020.210.
Green roofs (GR) are effective tools for the mitigation of the negative hydrological impact linked to uncontrolled urbanization. Models for runoff response of vegetated covers support planning decisions about the use of this technology in ever-expanding areas, but there is still large uncertainty in this research area. The goal of the present study was to define the accuracy of three selected models for the simulation of the hydrological behavior of a GR, with a particular focus on the precipitation pattern characteristics. The Nash cascade model, Storm Water Management Model (SWMM), and HYDRUS-1D models were selected. Each model was calibrated over 24 rainfall-runoff events collected at the experimental site located in Southern Italy. Rainfall events were characterized using several criteria and were divided into convective, stratiform, and tropical precipitation types according to the shape of the rainfall profile identified by the rainfall binary shape code. The models returned overall satisfactory performances with average Nash-Sutcliffe Efficiency index of 0.65 for the SWMM and HYDRUS and 0.73 for the Nash model. In general, the models were better performing for stratiform and tropical events. SWMM and HYDRUS predicted with higher accuracy the convective events while the Nash model appeared more suitable for stratiform events.
绿色屋顶（GR）是缓解与失控城市化相关的负面水文影响的有效工具。植被覆盖物径流响应模型支持在不断扩大的区域内使用这项技术的规划决策，但该研究领域仍存在很大的不确定性。本研究的目的是定义三种选定模型在模拟 GR 水文行为方面的准确性，特别关注降水模式特征。选择了纳什级联模型、雨水管理模型 (SWMM) 和 HYDRUS-1D 模型。每个模型都在位于意大利南部的实验场地收集的 24 次降雨-径流事件上进行了校准。降雨事件使用多个标准进行了描述，并根据降雨二进制形状代码确定的降雨形状将其分为对流、层状和热带降水类型。模型的整体性能令人满意，SWMM 和 HYDRUS 的平均纳什-苏特克里夫效率指数为 0.65，纳什模型为 0.73。一般来说，模型对流状和热带事件的表现更好。SWMM 和 HYDRUS 对流状事件的预测更准确，而纳什模型似乎更适合层状事件。
