KMS of Research Center for Eco-Environmental Sciences, CAS
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 Publication | APPLIED CATALYSIS B-ENVIRONMENTAL
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ISSN | 1618-8667 |
Volume | 65Pages:- |
Abstract | 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. |
Department | 中国科学院饮用水科学与技术重点实验室 |
Keyword | Curve number Green roof Initial abstraction ratio Runoff prediction SCS-CN method |
Document Type | 期刊论文 |
Identifier | https://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 |
Affiliation | 1.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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