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DOI | 10.1007/s11356-020-09220-2 |
Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors | |
Liu, Wen; Feng, Qi![]() | |
发表日期 | 2020 |
ISSN | 0944-1344 |
EISSN | 1614-7499 |
起始页码 | 30831 |
结束页码 | 30843 |
卷号 | 27期号:24 |
英文摘要 | Permeable pavements, as additive structures that have a good capability for runoff and pollutant reduction, are extensively used for sustainable urban drainage techniques. However, the exact mechanisms of runoff retention and pollutant reduction of a permeable pavement system remain unclear and so, it has become an ongoing issue and motivation for hydrologists and design and structural engineers. In this research paper, a suite of four scale-based runoff plots representing permeable pavements were designed with different permeable surface types and gravel layer thickness treatments, and coupled with simulated rainfall experiments to analyze the impacts of structural factors of permeable pavements on runoff retentions and pollution reduction. The present results showed that the average time to runoff for permeable pavements under low-intensity rainfall scenarios was approximately 78.5 min, while this was shortened to only 51.5 min under high-intensity rainfall scenarios. In terms of the average runoff retention of permeable pavements tested under low- and high-intensity rainfall cases, the results recorded approximately 52.5% and 42.5%, respectively, but runoff retention performances were relatively greater for the case of smaller storms within the scale experiments. Importantly, there was no statistical significance for the time to runoff and runoff retention between the permeable bricks and porous concretes for the analyzed rainfall events. The thicker gravel layers significantly delayed runoff generation and increased runoff retention percentages. Runoff pollutant load reduction rates of total suspended solids (TSS), total nitrogen (TN), and total phosphorus (TP) were varied between permeable bricks and porous concretes. Runoff pollutants load reduction rates of TSS, TN, and TP were highly enhanced while the gravel layer thickness increased from 10 to 20 cm. Higher TSS, TN, and TP pollutant load removals were found from the lower intensity rainfalls. These findings could promote understanding of the hydrologic properties of permeable pavements and help design engineers in optimizing their design of permeable pavements for better runoff retention and pollution removal. |
英文关键词 | Gravel layer thickness; Permeable pavement; Pollution removal; Runoff retention; Simulated rainfall |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Environmental Sciences |
WOS关键词 | WATER-QUALITY ; POROUS PAVEMENT ; INFILTRATION ; ASPHALT ; SYSTEMS ; SIMULATION ; QUANTITY ; CONCRETE ; DESIGN |
WOS记录号 | WOS:000537537400012 |
来源期刊 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/239347 |
作者单位 | [Liu, Wen; Feng, Qi; Deo, Ravinesh C.] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China; [Liu, Wen; Chen, Weiping] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China; [Deo, Ravinesh C.] Univ Southern Queensland, Sch Sci, Ctr Appl Climate Sci, Springfield, Qld 4300, Australia; [Deo, Ravinesh C.] Univ Southern Queensland, Ctr Sustainable Agr Syst, Springfield, Qld 4300, Australia |
推荐引用方式 GB/T 7714 | Liu, Wen,Feng, Qi,Chen, Weiping,et al. Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors[J]. 中国科学院西北生态环境资源研究院,2020,27(24). |
APA | Liu, Wen,Feng, Qi,Chen, Weiping,&Deo, Ravinesh C..(2020).Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,27(24). |
MLA | Liu, Wen,et al."Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 27.24(2020). |
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