气候变化领域集成服务门户(CCPortal): Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region

CCPortal

DOI	10.1016/j.ufug.2021.127331
	Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region
	Liu, Wen; Feng, Qi; Wang, Rui; Chen, Weiping
发表日期	2021
ISSN	1618-8667
EISSN	1610-8167
卷号	65
英文摘要	The widespread adoption of green roof technology in urban stormwater management practices requires the use of adequate modelling and evaluating tools. Soil Conservation Service-Curve Number (SCS-CN) method is the most common adopted and simple method for runoff prediction of green roofs. However, the standard initial abstraction ratio is the most ambiguous assumption and requires dedicated adjustments in runoff prediction. In this study, the initial abstraction ratios of green roofs in SCS-CN method were determined using rainfall-runoff event analysis from the simulated rainfall experiments for runoff plots of green roofs. Influences of the standard and modified initial abstraction ratios on runoff estimation of green roofs were investigated and evaluated. Results showed that the calculated I-a/S ratios varied from 0.18 to 0.89, with a median of 0.51. The SCS-CN method for initial abstraction ratios using 0.5 and 0.2 values were underestimated runoff volume, thus they were not appropriately used for runoff prediction of green roofs. However, evaluated results revealed that runoff prediction using I-a/S = 0.05 was significantly improved than that predicted using I-a/S = 0.2. The estimation of green roof runoff using I-a/S = 0.05 provided the best model efficiency MAE, RMSE, NSE and WI among the predictions using the modified initial abstraction ratios of 0.2, 0.5, 0.05 and 0.02. Particularly, the NSE and WI values of I-a/S = 0.05 were improved to 0.88 and 0.97 respectively. Accordingly, the median CN value was modified to 96 while using I-a/S = 0.05. A significantly negative relationship was found between antecedent substrate moisture and Ia/S ratios of green roofs. These results suggested that an optimal initial abstraction ratio of 0.05 with modified CN values used in the SCS-CN method can highly improve the accuracy of runoff prediction for green roofs.
英文关键词	Curve number; Green roof; Initial abstraction ratio; Runoff prediction; SCS-CN method
WOS研究方向	Plant Sciences ; Environmental Sciences & Ecology ; Forestry ; Urban Studies
WOS类目	Plant Sciences ; Environmental Studies ; Forestry ; Urban Studies
WOS关键词	CURVE NUMBER METHOD ; LOW IMPACT DEVELOPMENT ; ABSOLUTE ERROR MAE ; LOESS PLATEAU ; STORMWATER RUNOFF ; HYDROLOGICAL PERFORMANCE ; ANTECEDENT MOISTURE ; LONG-TERM ; WATER ; RETENTION
WOS记录号	WOS:000701984700005
来源期刊	URBAN FORESTRY & URBAN GREENING
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/239426
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] Purdue Univ, Dept Agr & Biol Engn, W Lafayette, IN 47907 USA; [Wang, Rui] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China; [Chen, Weiping] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
推荐引用方式 GB/T 7714	Liu, Wen,Feng, Qi,Wang, Rui,et al. Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region[J]. 中国科学院西北生态环境资源研究院,2021,65.
APA	Liu, Wen,Feng, Qi,Wang, Rui,&Chen, Weiping.(2021).Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region.URBAN FORESTRY & URBAN GREENING,65.
MLA	Liu, Wen,et al."Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region".URBAN FORESTRY & URBAN GREENING 65(2021).