Estimation of base flow using flow-sediment relationships in the Chinese Loess Plateau
文献类型：SCI/SSCI论文
| 作者 | Zheng M. G. |
| 发表日期 | 2015 |
| 关键词 | Base flow separation Runoff Sediment yield Loess Plateau hilly areas separation runoff streamflow recession scales yield |
| 英文摘要 | A common practice to separate base flow from surface flow is to partition the streamflow into the high-frequency and low-frequency components. Instead, this study attempted to partition the streamflow into the erosive and non-erosive components and used the latter as an estimation of base flow. Previous work (Zheng et al., 2012) has reported a linear runoff-sediment yield relationship at the watershed scale in the Chinese Loess Plateau. It was found that the intercept term of this linear relationship represents the non-erosive-flow component of streamflow. We test this hypothesis using the long-term data (1950s to 1980s) of eight tributaries in the middle Yellow River, which are intentionally selected to represent various land surface compositions in the middle Yellow River. The estimated long-term mean, annual and monthly base flows using the flow-sediment relationship are reasonably comparable with those derived from the Lyne and Hollick filter method, whether the watershed management for soil conservation was implemented or not. Moreover, our method is arguably more accurate than the filter method, which tends to overestimate base flow by including all delayed components, not just groundwater flows, as base flow. Thus, our method does not only provide a new way to obtain base flow, but also has the potential to provide validation data in assessing the performance of other base flow separation methods. (C) 2014 Elsevier B.V. All rights reserved. |
| 出处 | Catena |
| 卷 | 125 |
| 页 | 129-134 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0341-8162 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/39077]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Zheng M. G.. Estimation of base flow using flow-sediment relationships in the Chinese Loess Plateau. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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