气候变化领域集成服务门户(CCPortal): Quantifying the contributions of structural factors on runoff water quality from green roofs and optimizing assembled combinations using Taguchi method

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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; Engel, Bernard A.; Chen, Weiping; Wei, Wei; Wang, Yu; Feng, Qi
发表日期	2021
ISSN	0022-1694
EISSN	1879-2707
卷号	593
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.
英文关键词	Optimum condition; Runoff pollution; Substrate material; Taguchi design; Vegetation; Water quality prediction
WOS研究方向	Engineering ; Geology ; Water Resources
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS关键词	STORMWATER RUNOFF ; HYDROLOGICAL PERFORMANCE ; SUBSTRATE DEPTH ; RETENTION ; QUANTITY ; NUTRIENT ; CLIMATE ; IMPACT ; PRIORITIZATION ; URBANIZATION
WOS记录号	WOS:000639853400055
来源期刊	JOURNAL OF HYDROLOGY
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/239444
作者单位	[Liu, Wen; Feng, Qi] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Peoples R China; [Liu, Wen; Engel, Bernard A.] Purdue Univ, Agr & Biol Engn Dept, W Lafayette, IN 47907 USA; [Chen, Weiping; Wei, Wei] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China; [Wang, Yu] 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]. 中国科学院西北生态环境资源研究院,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).