气候变化领域集成服务门户(CCPortal): High-quality reconstruction of China's natural streamflow

CCPortal

DOI	10.1016/j.scib.2021.09.022
	High-quality reconstruction of China's natural streamflow
	Miao, Chiyuan; Gou, Jiaojiao; Fu, Bojie; Tang, Qiuhong; Duan, Qingyun; Chen, Zhongsheng; Lei, Huimin; Chen, Jie; Guo, Jiali; Borthwick, Alistair G. L.; Ding, Wenfeng; Duan, Xingwu; Li, Yungang; Kong, Dongxian; Guo, Xiaoying; Wu, Jingwen
发表日期	2022
ISSN	2095-9273
EISSN	2095-9281
起始页码	547
结束页码	556
卷号	67 期号:5
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/).
英文关键词	Natural streamflow; Reconstruction; Land surface model; Parameter uncertainty analysis
语种	英语
WOS研究方向	Multidisciplinary Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000786594400017
来源期刊	SCIENCE BULLETIN
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281076
作者单位	Beijing Normal University; Chinese Academy of Sciences; Research Center for Eco-Environmental Sciences (RCEES); Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; China West Normal University; Tsinghua University; Wuhan University; China Three Gorges University; China Three Gorges University; University of Edinburgh; Yangtze River Water Resources Protection Bureau; Yunnan University
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],2022,67(5).
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).
MLA	Miao, Chiyuan,et al."High-quality reconstruction of China's natural streamflow".SCIENCE BULLETIN 67.5(2022).