Wavelet analysis of some rivers in SE Europe and selected climate indices

被引:23
作者
Briciu, Andrei-Emil [1 ]
Mihaila, Dumitru [1 ]
机构
[1] Stefan Cel Mare Univ Suceava, Suceava 720229, Romania
关键词
Wavelet coherence analysis; Global wavelet spectrum; Multidecadal variability; Upstream-downstream comparison; NORTH-ATLANTIC OSCILLATION; NINO-SOUTHERN-OSCILLATION; SOLAR-ACTIVITY; GEOPOTENTIAL HEIGHT; ARCTIC OSCILLATION; VARIABILITY; STREAMFLOW; FREQUENCY; RAINFALL; TIME;
D O I
10.1007/s10661-014-3853-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The influence of some climatic oscillations and sunspot number on river flows in Romania, Ukraine, and Moldova is verified by using standard wavelet analyses. The selected climate oscillations are Arctic Oscillation (AO), Antarctic Oscillation (AAO), East Atlantic Oscillation (EAO), East Atlantic/West Russia Oscillation (EAWRO), NINO3.4, North Atlantic Oscillation (NAO), Pacific/North America Oscillation (PNAO), Pacific Decadal Oscillation (PDO), Polar/Eurasia Oscillation (PEO), Scandinavian Oscillation (ScandO), Southern Oscillation (SO), and West Pacific Oscillation (WPO). Forty-five hydrological stations from an area of 45,000 km(2) were used in order to discover the spatial evolution of the periodicities found in rivers. The wavelet analysis is novel for the rivers in the study area. There is an important difference between the periodicities found in mountain and plateau areas and those found in the plain area. There is a general downstream increase in the confidence level of the identified periods, even if the atmospheric precipitation has more relevant periodicities in the mountain area. The periodicities can be grouped into two compact groups: 1-16.5 and 27.8-55.6 years. The correlation matrix of the global wavelet spectrum (GWS) values indicates that NAO, EAWRO, PDO, and the sunspot number are the main factors that generate the periodicities in rivers. It is the first time when the influence of PDO on local rivers is proven. All river periodicities smaller than 16 years have a confidence level of 0.95 or above, as proven by the GWS analysis of the daily discharge data, and are caused by multiple external factors.
引用
收藏
页码:6263 / 6286
页数:24
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