Quantifying the contributions of structural factors on runoff water quality from green roofs and optimizing assembled combinations using Taguchi method
文献类型：期刊论文
| 作者 | Liu, Wen; Engel, Bernard A.; Chen, Weiping ; Wei, Wei; Wang, Yu; Feng, Qi
|
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2021-02 |
| 卷号 | 593页码:- |
| 关键词 | Optimum condition Runoff pollution Substrate material Taguchi design Vegetation Water quality prediction |
| ISSN号 | 0022-1694 |
| 英文摘要 | Runoff water quality of green roofs often comes under debate, and the mechanism of runoff pollution retention is still unclear. How to quantify the influencing contributions of structural factors to runoff pollution of green roofs and optimize the assembled combinations for improving water quality are ambiguous. In this study, runoff plots of extensive green roofs with Taguchi designed structural factors and levels were constructed and simulated rainfall experiments were conducted. Influences of structural factors on outflow water quality of green roofs were statistically assessed and quantified. Runoff water quality of green roofs with assembled combinations at specific levels were optimized and predicted by using the Taguchi method. Results showed that except for the pH and NO3- concentrations, the extensive green roofs acted as a source of the tested pollutants in stormwater runoff. Contributions of substrate materials on pH, EC, ESP (exchangeable sodium percentage), F, NO3- and NO2-N concentrations were the highest among the structural factors, and contribution percentages ranged from 33.38% to 64.47%. The vegetation types had important contributions on Cl-, SO42- and TP concentrations, and the contribution percentage was 74.72%, 71.23% and 45.16% respectively. Influences of substrate depths and slope gradients on outflow water quality were small. Most of the determination coefficients (R-2) of regression analysis between the measured and predicted water quality parameters under Taguchi design were ranged from 0.843 to 0.997. Except the pH and NO3- parameters, the Taguchi predicted water quality under the optimum conditions were improved by 10.2-77.6%. These results will aid understanding of the retention mechanism of green roofs on runoff pollutants and improving runoff water quality through the optimization of green roof design. |
| WOS研究方向 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45544]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Purdue Univ, Agr & Biol Engn Dept, W Lafayette, IN 47907 USA 3.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China 4.Lanzhou Univ Technol, Sch Energy & Power Engn, Lanzhou 730050, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Wen,Engel, Bernard A.,Chen, Weiping,et al. Quantifying the contributions of structural factors on runoff water quality from green roofs and optimizing assembled combinations using Taguchi method[J]. JOURNAL OF HYDROLOGY,2021,593:-. |
| APA | Liu, Wen,Engel, Bernard A.,Chen, Weiping,Wei, Wei,Wang, Yu,&Feng, Qi.(2021).Quantifying the contributions of structural factors on runoff water quality from green roofs and optimizing assembled combinations using Taguchi method.JOURNAL OF HYDROLOGY,593,-. |
| MLA | Liu, Wen,et al."Quantifying the contributions of structural factors on runoff water quality from green roofs and optimizing assembled combinations using Taguchi method".JOURNAL OF HYDROLOGY 593(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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