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绿色屋顶可减少高度城市化地区雨水排水的负担。

The green roofs for reduction in the load on rainwater drainage in highly urbanised areas.

机构信息

Faculty of Natural Sciences and Technology, Institute of Environmental Engineering and Biotechnology, University of Opole, 6 Kominka Str, 45-032, Opole, Poland.

出版信息

Environ Sci Pollut Res Int. 2021 Jul;28(26):34269-34277. doi: 10.1007/s11356-021-12616-3. Epub 2021 Feb 1.

Abstract

Rapid weather phenomena, particularly sudden and intense rainfall, have become a problem in urban areas in recent years. During heavy rainfall, urban rainwater drainage systems are unable to discharge huge amounts of runoff into collecting reservoirs, which usually results in local flooding. This paper presents attempts to forecast a reduction in the load on the rainwater drainage system through the implementation of green roofs in a case study covering two selected districts of Opole (Poland)-the Old Town and the City Centre. Model tests of extensive and intensive roofs were carried out, in order to determine the reduction of rainwater runoff from the roof surface for the site under study. The potential of the roofs of the buildings to make a green roof was also determined using geographical information systems (GIS), for a case study of two central districts of Opole. It proposed a methodology to determine the rainwater drainage system load reduction by making green roofs. The analyses carried out lead to the conclusion that, in the districts selected for the study, the execution of green roofs on 25% of the of buildings with the potential to implement this type of roof solution could reduce the load on the rain water system by a degree that protects the city area from local flooding.

摘要

近年来,快速天气现象,特别是突发性强降雨,已成为城市地区的一个问题。在强降雨期间,城市雨水排水系统无法将大量径流排入集水池,这通常会导致局部洪水泛滥。本文通过在波兰奥波莱的两个选定区(老城区和市中心)的案例研究中实施绿色屋顶,尝试预测雨水排水系统的负荷减少。对广泛和密集的屋顶进行了模型测试,以确定研究地点屋顶表面雨水径流的减少量。还使用地理信息系统(GIS)确定了建筑物屋顶的绿色屋顶潜力,以奥波莱两个中心区为例。它提出了一种通过建造绿色屋顶来确定雨水排水系统负荷减少的方法。所进行的分析得出的结论是,在所选择的研究区域,在有潜力实施这种屋顶解决方案的 25%的建筑物上建造绿色屋顶,可以将雨水系统的负荷减少到足以保护城市地区免受局部洪水的程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4bf/8275493/81536355b22f/11356_2021_12616_Fig1_HTML.jpg

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