气候变化领域集成服务门户(CCPortal): A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers

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DOI	10.5194/hess-23-73-2019
	A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers
	Iliopoulou T.; Aguilar C.; Arheimer B.; Bermúdez M.; Bezak N.; Ficchì A.; Koutsoyiannis D.; Parajka J.; Polo M.J.; Thirel G.; Montanari A.
发表日期	2019
ISSN	1027-5606
起始页码	73
结束页码	91
卷号	23 期号:1
英文摘要	The geophysical and hydrological processes governing river flow formation exhibit persistence at several timescales, which may manifest itself with the presence of positive seasonal correlation of streamflow at several different time lags. We investigate here how persistence propagates along subsequent seasons and affects low and high flows. We define the high-flow season (HFS) and the low-flow season (LFS) as the 3-month and the 1-month periods which usually exhibit the higher and lower river flows, respectively. A dataset of 224 rivers from six European countries spanning more than 50 years of daily flow data is exploited. We compute the lagged seasonal correlation between selected river flow signatures, in HFS and LFS, and the average river flow in the antecedent months. Signatures are peak and average river flow for HFS and LFS, respectively. We investigate the links between seasonal streamflow correlation and various physiographic catchment characteristics and hydro-climatic properties. We find persistence to be more intense for LFS signatures than HFS. To exploit the seasonal correlation in the frequency estimation of high and low flows, we fit a bi-variate meta-Gaussian probability distribution to the selected flow signatures and average flow in the antecedent months in order to condition the distribution of high and low flows in the HFS and LFS, respectively, upon river flow observations in the previous months. The benefit of the suggested methodology is demonstrated by updating the frequency distribution of high and low flows one season in advance in a real-world case. Our findings suggest that there is a traceable physical basis for river memory which, in turn, can be statistically assimilated into high- and low-flow frequency estimation to reduce uncertainty and improve predictions for technical purposes. © Author(s) 2019.All Rights Reserved.
语种	英语
scopus关键词	Catchments; Frequency estimation; Probability distributions; Stream flow; Average flows; Catchment characteristics; European Countries; Flow signature; Frequency distributions; Gaussian probability distributions; Hydrological process; Large sample analysis; Rivers; antecedent conditions; data set; probability; river flow; seasonal variation; streamflow; timescale
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159802
作者单位	Iliopoulou, T., Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, Zographou, 15780, Greece; Aguilar, C., Fluvial Dynamics and Hydrology Research Group, Andalusian Institute of Earth System Research, University of Córdoba, Córdoba, 14071, Spain; Arheimer, B., Swedish Meteorological and Hydrological Institute, Norrköping, 601 76, Sweden; Bermúdez, M., Water and Environmental Engineering Group, Department of Civil Engineering, University of A Coruña, Coruña, 15071 A, Spain; Bezak, N., Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova 2, Ljubljana, 1000, Slovenia; Ficchì, A., Department of Geography and Environmental Science, University of Reading, Reading, RG6 6AB, United Kingdom, IRSTEA, Hydrology Research Group (HYCAR), Antony, 92761, France; Koutsoyiannis, D., Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, Zographou, 1...
推荐引用方式 GB/T 7714	Iliopoulou T.,Aguilar C.,Arheimer B.,et al. A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers[J],2019,23(1).
APA	Iliopoulou T..,Aguilar C..,Arheimer B..,Bermúdez M..,Bezak N..,...&Montanari A..(2019).A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers.Hydrology and Earth System Sciences,23(1).
MLA	Iliopoulou T.,et al."A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers".Hydrology and Earth System Sciences 23.1(2019).