A Modified SCS-CN Method Incorporating Storm Duration and Antecedent Soil Moisture Estimation for Runoff Prediction
文献类型：期刊论文
| 作者 | Shi, Wenhai3,4; Huang, Mingbin3,4; Gongadze, Kate1; Wu, Lianhai1; Huang, MB (reprint author), Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi Provinc, Peoples R China.; Huang, MB (reprint author), MWR, Yangling 712100, Shaanxi Provinc, Peoples R China.; Huang, MB (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi Provinc, Peoples R China. |
| 刊名 | WATER RESOURCES MANAGEMENT
 |
| 出版日期 | 2017 |
| 卷号 | 31期号:5页码:1713-1727 |
| 关键词 | Soilmoisture Accounting Soil Conservation Service Curve Number Method Loess Plateau Watershed |
| ISSN号 | 0920-4741 |
| DOI | 10.1007/s11269-017-1610-0 |
| 文献子类 | Article |
| 英文摘要 | In one of the widely used methods to estimate surface runoff -Soil Conservation Service Curve Number (SCS-CN), the antecedent moisture condition (AMC) is categorized into three AMC levels causing irrational abrupt jumps in estimated runoff. A few improved SCS-CN methods have been developed to overcome several in-built inconsistencies in the soil moisture accounting (SMA) procedure that lies behind the SCS-CN method. However, these methods still inherit the structural inconsistency in the SMA procedure. In this study, a modified SCS-CN method was proposed based on the revised SMA procedure incorporating storm duration and a physical formulation for estimating antecedent soil moisture (V0). The proposed formulation for V-0 estimation has shown a high degree of applicability in simulating the temporal pattern of soil moisture in the experimental plot. The modified method was calibrated and validated using a dataset of 189 storm-runoff events from two experimental watersheds in the Chinese Loess Plateau. The results indicated that the proposed method, which boosted the model efficiencies to 88% in both calibration and validation cases, performed better than the original SCS-CN and the Singh et al. (2015) method, a modified SCS-CN method based on SMA. The proposed method was then applied to a third watershed using the tabulated CN value and the parameters of the minimum infiltration rate (f(c)) and coefficient (beta) derived for the first two watersheds. The root mean square error between the measured and predicted runoff values was improved from 6 mm to 1 mm. Moreover, the parameter sensitivity analysis indicated that the potential maximum retention (S) parameter is the most sensitive, followed by f(c). It can be concluded that the modified SCS-CN method, may predict surface runoff more accurately in the Chinese Loess Plateau. |
| 学科主题 | Engineering ; Water Resources |
| URL标识 | 查看原文 |
| 出版地 | DORDRECHT |
| 语种 | 英语 |
| WOS记录号 | WOS:000398042800018 |
| 出版者 | SPRINGER |
| 资助机构 | NSFC; NERC Newton Fund through the China-UK [41571130082, NE/N007433/1] ; NSFC; NERC Newton Fund through the China-UK [41571130082, NE/N007433/1] ; NSFC; NERC Newton Fund through the China-UK [41571130082, NE/N007433/1] ; NSFC; NERC Newton Fund through the China-UK [41571130082, NE/N007433/1] |
| 源URL | [http://ir.iswc.ac.cn/handle/361005/8025]  |
| 专题 | 水保所科研产出--SCI_2017--SCI |
| 通讯作者 | Huang, MB (reprint author), Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi Provinc, Peoples R China.; Huang, MB (reprint author), MWR, Yangling 712100, Shaanxi Provinc, Peoples R China.; Huang, MB (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi Provinc, Peoples R China. |
| 作者单位 | 1.Rothamsted Res, Okehampton EX20 2SB, Devon, England 2.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi Provinc, Peoples R China 3.Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi Provinc, Peoples R China 4.MWR, Yangling 712100, Shaanxi Provinc, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Wenhai,Huang, Mingbin,Gongadze, Kate,et al. A Modified SCS-CN Method Incorporating Storm Duration and Antecedent Soil Moisture Estimation for Runoff Prediction[J]. WATER RESOURCES MANAGEMENT,2017,31(5):1713-1727. |
| APA | Shi, Wenhai.,Huang, Mingbin.,Gongadze, Kate.,Wu, Lianhai.,Huang, MB .,...&Huang, MB .(2017).A Modified SCS-CN Method Incorporating Storm Duration and Antecedent Soil Moisture Estimation for Runoff Prediction.WATER RESOURCES MANAGEMENT,31(5),1713-1727. |
| MLA | Shi, Wenhai,et al."A Modified SCS-CN Method Incorporating Storm Duration and Antecedent Soil Moisture Estimation for Runoff Prediction".WATER RESOURCES MANAGEMENT 31.5(2017):1713-1727. |
入库方式： OAI收割
来源：水土保持研究所
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