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LONG-TERM TRENDS IN RIVERS FLOW FROM NORTH-EASTERN PART OF ROMANIA
Abstract
In order to properly manage water resources in a river basin, it is necessary to identify trends in the evolution of rivers flow. Long-term trends analysis for river flow in north eastern part of Romania is based on two different methods: non-parametric rank-based Mann?Kendall (MK) test and innovative trend analysis (ITA). These two methods were applied for 7 hydrometric stations located in river basins unaffected by hydro-technical works, with hydrological observations on the average flow for the period 1950-2017. Based on MK test more than half of the analyzed rivers recorded positive trends for all the time series (71.4%). For annual, summer and autumn series, the positive slopes prevail in more than 80% of the considered locations, while for winter and spring they were found in 70% and respectively 57.4% of the locations. The same trend is shown by the ITA method, for annual and spring seasons with the positive slopes that was observed for more than 70% hydrometric station analyzed. For winter and summer season the positive trends are less than 60% for all stations. The results obtained regarding the rivers flow trends in this region can be the basis of the water resources management plans at the regional and basin level.
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References10
B?rger G., On trend detection. Hydrological Processes, 31, 4039–4042, 2017. DOI: 10.1002/hyp.11280
Hannaford J, Buys G, Stahl K, Tallaksen L.M., The influence of decadal-scale variability on trends in long European streamflow records. Hydrol Earth Syst Sci 17:2, 717–2733, 2013.
Croitoru A.E., Minea I., The impact of climate changes on rivers discharge in Eastern Romania, Theoretical and Applied Climatology, 1434-4483, 2015. DOI: 10.1007/s00704-014-1194-z2012
Kundzewicz ZW, Graczyk D, Maurer T, Pi?skwar I, Radziejewski M, Svensson C, Szwed M., Trend detection in river flow series: 1. Annual maximum flow. Hydrol Sci J 50(5):797–810, 2005.
?en Z., Innovative trend significance test and applications. Theoretical and Applied Climatology, 127, 939-947, 2017, DOI: 10.1007/s00704-015-1681-x
Kisi O., Ay M., Comparition of Mann-Kendall and innovative trend method for water quality parameters of Kizilirmak River, Turkey, Journal of Hydrology, 513, 362-375, 2014. DOI: 10.1016/j.jhydrol.2016.04.065
Piniewski, M., Marcinkowski, P. & Kundzewicz, Z.W. Trend detection in river flow indices in Poland. Acta Geophys. 66, 347–360 (2018). DOI: 10.1007/s11600-018-0116-3
Minea I., Chelariu O.E. Anomalies and trends of high river flow under temperate climatic conditions in north-eastern Romania, Journal of Water and Climate Change, 2020, DOI: 10.2166/wcc.2020.124
Dabanli, I., ?en, Z., Yelegen, M.O., ?i?man, E., Selek, B., & Guclu, Y.S., (2016). Trend assesment by the innovative ?en Method. Water Resources Management, 30, 5193-5203. DOI: 10.1007/s11269-016-1478-4
Tabari, H., Taye, M.T., Onyutha, C., & Willems, P. (2017). Decadal analysis of river flow extremes using quantile-based approaches. Water Resources Management, 31, 3371-3387. DOI: 10.1007/s11269-017-1673-y
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