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Selective conversion of nitrate to nitrogen gas by enhanced electrochemical process assisted by reductive Fe(II)-Fe(III) hydroxides at cathode surface
Mao, Ran; Zhu, Haiyang; Wang, KaiFeng; Zhao, Xu
2021-10-05
Source PublicationAPPLIED CATALYSIS B-ENVIRONMENTAL
ISSN1618-8667
Volume65Pages:-
AbstractThe 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.
Department中国科学院饮用水科学与技术重点实验室
KeywordCurve number Green roof Initial abstraction ratio Runoff prediction SCS-CN method
Document Type期刊论文
Identifierhttps://ir.rcees.ac.cn/handle/311016/46922
Collection中国科学院饮用水科学与技术重点实验室
Affiliation1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, Beijing 100085, Peoples R China
2.Hebei Univ Technol, Sch Civil Engn & Transportat, Tianjin 300401, Peoples R China
Recommended Citation
GB/T 7714
Mao, Ran,Zhu, Haiyang,Wang, KaiFeng,et al. Selective conversion of nitrate to nitrogen gas by enhanced electrochemical process assisted by reductive Fe(II)-Fe(III) hydroxides at cathode surface[J]. APPLIED CATALYSIS B-ENVIRONMENTAL,2021,65:-.
APA Mao, Ran,Zhu, Haiyang,Wang, KaiFeng,&Zhao, Xu.(2021).Selective conversion of nitrate to nitrogen gas by enhanced electrochemical process assisted by reductive Fe(II)-Fe(III) hydroxides at cathode surface.APPLIED CATALYSIS B-ENVIRONMENTAL,65,-.
MLA Mao, Ran,et al."Selective conversion of nitrate to nitrogen gas by enhanced electrochemical process assisted by reductive Fe(II)-Fe(III) hydroxides at cathode surface".APPLIED CATALYSIS B-ENVIRONMENTAL 65(2021):-.
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