High-quality reconstruction of China's natural streamflow
文献类型：期刊论文
| 作者 | Miao, Chiyuan8; Gou, Jiaojiao8; Fu, Bojie7,8; Tang, Qiuhong6; Duan, Qingyun8; Chen, Zhongsheng5; Lei, Huimin4; Chen, Jie3; Guo, Jiali1,2; Borthwick, Alistair G. L.11 |
| 刊名 | SCIENCE BULLETIN
 |
| 出版日期 | 2022-03-15 |
| 卷号 | 67期号:5页码:547-556 |
| 关键词 | Natural streamflow Reconstruction Land surface model Parameter uncertainty analysis |
| ISSN号 | 2095-9273 |
| DOI | 10.1016/j.scib.2021.09.022 |
| 英文摘要 | Reconstruction of natural streamflow is fundamental to the sustainable management of water resources. In China, previous reconstructions from sparse and poor-quality gauge measurements have led to large biases in simulation of the interannual and seasonal variability of natural flows. Here we use a well-trained and tested land surface model coupled to a routing model with flow direction correction to reconstruct the first high-quality gauge-based natural streamflow dataset for China, covering all its 330 catchments during the period from 1961 to 2018. A stronger positive linear relationship holds between upstream routing cells and drainage areas, after flow direction correction to 330 catchments. We also introduce a parameter-uncertainty analysis framework including sensitivity analysis, optimization, and regionalization, which further minimizes biases between modeled and inferred natural stream flow from natural or near-natural gauges. The resulting behavior of the natural hydrological system is represented properly by the model which achieves high skill metric values of the monthly streamflow, with about 83% of the 330 catchments having Nash-Sutcliffe efficiency coefficient (NSE) > 0.7, and about 56% of the 330 catchments having Kling-Gupta efficiency coefficient (KGE) > 0.7. The proposed construction scheme has important implications for similar simulation studies in other regions, and the developed low bias long-term national datasets by statistical postprocessing should be useful in supporting river management activities in China.(c) 2021 Science China Press. Published by Elsevier B.V. and Science China Press. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| WOS关键词 | WATER-RESOURCES ; CLIMATE-CHANGE ; RIVER-BASINS ; MODEL ; SURFACE ; RUNOFF ; HYDROLOGY ; FLOW ; AGRICULTURE ; PERFORMANCE |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0405] ; National Natural Science Foundation of China[42041006] ; National Natural Science Foundation of China[41877155] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000786594400017 |
| 出版者 | ELSEVIER |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research Program ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/175429]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.China Three Gorges Univ, Engn Res Ctr Ecoenvironm Three Gorges Reservoir R, Minist Educ, Yichang 443002, Peoples R China 2.China Three Gorges Univ, Coll Hydraul & Environm Engn, Yichang 443002, Peoples R China 3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China 4.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China 5.China West Normal Univ, Coll Land & Resources, Nanchong 637009, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 7.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 8.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 9.Yunnan Univ, Inst Int Rivers & Ecosecur, Kunming 650091, Yunnan, Peoples R China 10.Changjiang River Sci Res Inst, Wuhan 430010, Peoples R China |
| 推荐引用方式 GB/T 7714 | Miao, Chiyuan,Gou, Jiaojiao,Fu, Bojie,et al. High-quality reconstruction of China's natural streamflow[J]. SCIENCE BULLETIN,2022,67(5):547-556. |
| APA | Miao, Chiyuan.,Gou, Jiaojiao.,Fu, Bojie.,Tang, Qiuhong.,Duan, Qingyun.,...&Wu, Jingwen.(2022).High-quality reconstruction of China's natural streamflow.SCIENCE BULLETIN,67(5),547-556. |
| MLA | Miao, Chiyuan,et al."High-quality reconstruction of China's natural streamflow".SCIENCE BULLETIN 67.5(2022):547-556. |
入库方式： OAI收割
来源：地理科学与资源研究所
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