气候变化领域集成服务门户(CCPortal): Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China)

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DOI	10.1016/j.scitotenv.2021.145013
	Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China)
	Cheng, Qingping; Zhong, Fanglei; Wang, Ping
通讯作者	Zhong, FL (通讯作者)，Lanzhou Univ, Sch Econ, Lanzhou 730000, Peoples R China.
发表日期	2021
ISSN	0048-9697
EISSN	1879-1026
卷号	772
英文摘要	Baseflow is a component of streamflow derived from shallow and deep subsurface flows that is concurrently controlled by multiple factors. Rational estimation of baseflow is critical for understanding its spatiotemporal dynamics and influencing factors within a river basin. To address this, different filtering parameters were applied to separate the baseflow of the Heihe River Basin (HRB) in Northwest China using digital filtering methods. More-over, using bivariate and multivariate wavelet coherences, multivariate relationships between baseflow and meteorological factors/large-scale circulation indices were identified for several factors, which explained most of the variations. Results showed annual average baseflow was 10.3-91.1 mm and that the baseflow index (BFI) varied between 0.50 and 0.72 (average: 0.62). This indicates that 62% of long-term streamflow likely originates from groundwater discharge and other delayed sources. Positive/negative Spearman correlation coefficients between baseflow and extreme climate indices were more significant at upstream (Yingluoxia, Liyuanbao-and Walangcheng) stations in comparison with midstream (Suyukou, Shunhua) and downstream (Yangyangchi) stations. Correlation for the BFI was relatively weaker than for baseflow. Furthermore, bivariate wavelet coherences revealed that precipitation (six stations) and the Atlantic Multidecadal Oscillation (four stations) were the individual factors that best explained baseflow variations. Multiple wavelet coherence demonstrated that all meteorological factors/large-scale circulation indices had the highest percentage of the numbers of power significant at the 95% significance level that could best explain baseflow variations. However, the average power of wavelet coherence was not increased. Differences likely attributable to consideration of additional variables were diminished by collinearity effects among factors. Furthermore, baseflow at the midstream Zhengyxia and downstream Yangyangchi stations had significant positive and negative correlation with population and effective irrigation area, respectively. The findings indicate that development of regional hydrometeorological models should primarily consider the impact of climate change in the upstream HRB, whereas the effects of both climate change and human activities should be considered in the midstream and downstream HRB. (C) 2021 Elsevier B.V. All rights reserved.
关键词	GROUNDWATER STORAGE TRENDS FLOW SEPARATION METHODS LAND-USE CHANGE LOESS PLATEAU STREAMFLOW VARIABILITY CLIMATE VARIABILITY HYDROLOGICAL CYCLE GLOBAL PATTERNS YANGTZE-RIVER SCALE
英文关键词	Baseflow separation; Meteorological factors; Large-scale circulations indices; Multiple-Wavelet Coherence; Alpine Rivers
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:000628753700040
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254233
作者单位	[Cheng, Qingping] Southwest Forestry Univ, Sch Geog & Ecotourism, Kunming 650224, Yunnan, Peoples R China; [Cheng, Qingping] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [Zhong, Fanglei] Lanzhou Univ, Sch Econ, Lanzhou 730000, Peoples R China; [Wang, Ping] Yunnan Normal Univ, Sch Tourism & Geog Sci, Kunming 650500, Yunnan, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Qingping,Zhong, Fanglei,Wang, Ping. Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China)[J]. 中国科学院西北生态环境资源研究院,2021,772.
APA	Cheng, Qingping,Zhong, Fanglei,&Wang, Ping.(2021).Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China).SCIENCE OF THE TOTAL ENVIRONMENT,772.
MLA	Cheng, Qingping,et al."Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China)".SCIENCE OF THE TOTAL ENVIRONMENT 772(2021).