Quantifying the contributions of structural factors on runoff water quality from green roofs and optimizing assembled combinations using Taguchi method

doi:10.1016/j.jhydrol.2020.125864

	Quantifying the contributions of structural factors on runoff water quality from green roofs and optimizing assembled combinations using Taguchi method
	Liu, Wen 1,4; Engel, Bernard A.1; Chen, Weiping 2; Wei, Wei 2; Wang, Yu 3; Feng, Qi 4
刊名	Journal of Hydrology
	2021-02-01
卷号	593
关键词	Roofs Runoff Taguchi methods Water quality Determination coefficients Exchangeable sodium percentages Extensive green roofs Optimum conditions Retention mechanism Simulated rainfall Substrate material Water quality parameters
ISSN号	00221694
DOI	10.1016/j.jhydrol.2020.125864
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 (R2) 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. © 2020 Elsevier B.V.
WOS研究方向	Engineering ; Geology ; Water Resources
语种	英语
出版者	Elsevier B.V.
WOS记录号	WOS:000639853400055
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/147171]
专题	能源与动力工程学院
作者单位	1.Agricultural and Biological Engineering Department, Purdue University, West Lafayette; IN; 47907, United States; 2.State Key Laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing; 100085, China; 3.School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou; 730050, China 4.Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou; 730000, 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).