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Hydrological Processes

Publication date: 2017-01-01
Volume: 31 Pages: 1510 - 1526
Publisher: John Wiley & Sons Ltd.

Author:

Rutkowska, Agnieszka
Willems, Patrick ; Onyutha, Charles ; Mlocek, W

Keywords:

Flood frequency analysis, Poland, Science & Technology, Physical Sciences, Water Resources, anomaly, extreme river flow quantile, Hilbert-Huang transform, large-scale climate indices, oscillation, return period, EMPIRICAL MODE DECOMPOSITION, NORTH-ATLANTIC OSCILLATION, CLIMATE VARIABILITY, AIR-TEMPERATURE, TIME-SERIES, RAINFALL, FLOODS, PRECIPITATION, EUROPE, IMPACT, 0406 Physical Geography and Environmental Geoscience, 0905 Civil Engineering, 0907 Environmental Engineering, Environmental Engineering, 3707 Hydrology, 3709 Physical geography and environmental geoscience, 4005 Civil engineering

Abstract:

Temporal and spatial variability in extreme quantile anomalies of seasonal and annual maximum river flows was studied for 41 gauging stations at rivers in the Upper Vistula River basin, Poland. Using the quantile perturbation method, the temporal variability in anomalies was analysed. Interdecadal oscillating components were extracted from the series of anomalies using the Hilbert-Huang transform method. Period length, part of variance of each component, and part of unexplained variance were assessed. Results show an oscillating pattern in the temporal occurrence of extreme flow quantiles with clusters of high values in the 1960–1970s and since the late 1990s and of low values in the 1980s and at the beginning of the 1990s. The anomalies show a high variability on the right bank of the Upper Vistula River basin during the summer season with the highest values in catchments located in the western and south-western parts of the basin. River flow extreme quantiles were found to be associated with large-scale climatic variables from the regions of the North Atlantic Ocean, Scandinavia, Eastern Europe, Asia, and, to a lesser extent, the Pacific Ocean. Similarities between temporal variability of river flows and climatic factors were revealed. Results of the study are important for flood frequency analysis because a long observation period is necessary to capture clusters of high and low river flows.