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应用生态学报 ›› 2023, Vol. 34 ›› Issue (2): 491-498.doi: 10.13287/j.1001-9332.202303.019

• 研究论文 • 上一篇    下一篇

不同城市功能区实施屋顶绿化的雨洪调控效应比较

凌子尧1, 彭立华1*, 文慧2   

  1. 1南京工业大学建筑学院绿色建筑与生态城市实验室, 南京 211816;
    2南京工业大学测绘科学与技术学院, 南京 211816
  • 收稿日期:2022-07-22 接受日期:2022-10-25 出版日期:2023-02-15 发布日期:2023-08-15
  • 通讯作者: *E-mail: plhblue@njtech.edu.cn
  • 作者简介:凌子尧, 女, 1996年生, 硕士研究生。主要从事城市植被的雨洪效应研究。E-mail: 2413331529@qq.com
  • 基金资助:
    国家自然科学基金项目(41871189)

Comparison on the stormwater runoff effects of roof greening in different urban functional areas

LING Ziyao1, PENG Lihua1*, WEN Hui2   

  1. 1Laboratory of Green Building and Eco-city, Nanjing Tech University, Nanjing 211816, China;
    2School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China
  • Received:2022-07-22 Accepted:2022-10-25 Online:2023-02-15 Published:2023-08-15

摘要: 全球气候变化及城市地表硬质化加剧了城市雨洪风险,屋顶绿化作为一种低影响开发措施,可有效削减暴雨径流,为雨水进入城市管网树立第一道屏障。本研究采用CITYgreen模型,模拟分析南京新、旧居住区和商业区实施屋顶绿化对地表径流等水文参数的影响,比较不同功能区屋顶绿化的雨洪调控效应差异,分析功能区内部不同屋顶绿化之间以及屋顶绿化与地面绿化的雨洪效应差异。结果表明: 南京市典型老居住区、新居住区及商业区实施屋顶绿化可使透水面比例分别增加28.9%、12.5%和49.2%。在一次重现期2年历时24 h(雨量72 mm)的降雨事件中,3个样区所有建筑实施屋顶绿化可使地表径流量减少0~19.8%、洪峰流量下降0~26.5%,相当于建造了容量为223~2299 m3的调蓄设施。3个样区实施屋顶绿化的雨洪调控效应排序为:商业区>旧居住区>新居住区;草坪型屋顶绿化的单位面积雨洪调控量相当于花园型的78.6%~91.7%;屋顶绿化的单位面积雨洪调蓄量为地面绿化的31%~43%。研究结果可为基于雨洪管理的屋顶绿化选址、可持续设计及激励措施制定提供科学指导。

关键词: 气候变化, 低影响开发, CITYgreen模型, 雨洪调控效应

Abstract: Global climate change and the expansion of impervious surface in urban areas have increased the risk of urban flood. As a measure with low impact development (LID), roof greening can effectively reduce stormwater runoff, serving as the first barrier to prevent rainwater from entering the urban drainage system. We used the CITYgreen model to simulate and analyze the impacts of roof greening on hydrological parameters (e.g., surface runoff) in the new and old residential areas and the commercial areas in Nanjing City, and further investigated the variations in stormwater runoff effects (SRE) among these functional areas. We compared the SRE between different green roof types, and between green roofs and ground-level green spaces. The results showed that the proportion of permeable surface would increase by 28.9%, 12.5% and 49.2% respectively in the old residential area, new residential area and commercial area if all building roofs were greened. In a rainfall event with a return period of two years and a duration of 24 hours (precipitation=72 mm), the implementation of roof greening in all buildings in the three sampling areas could reduce surface runoff by 0-19.8% and reduce peak flow by 0-26.5%. The reductions in runoff by green roofs could be translated to a rainwater storage capacity of 223-2299 m3. The commercial area had the highest SRE by installing green roofs, followed by the old residential area, while the new residential area had the lowest SRE. The rainwater storage volume by per unit area of extensive green roof was about 78.6%-91.7% that of the intensive green roof. The storage capacity by per unit area of green roof was 31%-43% of that in the ground-level greenery. The results would provide scientific references for the site selection, sustainable design and incentive development of roof greening from the perspective of stormwater management.

Key words: climate change, low impact development, CITYgreen model, stormwater runoff effect