Key points are not available for this paper at this time.
Analyzing variations in streamflow over a long period is crucial from the perspective of water resources management and understanding the impacts of climate change on the basin.Changes in the frequency, magnitude, and seasonality of hydrological extremes are anticipated consequences of climate change.Statistical trend analysis identifies positive or negative variations within a dataset, enabling the projection and prediction of future projections.The objective of this study is to examine temporal changes in the magnitude of minimum discharge series at four selected pristine mountain catchments within the National Park of Low Tatras (NAPANT) region.Four series of long-term daily discharge data spanning from 1930/31 to 2019/20 were statistically analyzed: Vajskovský brook: Dolná Lehota, Bystrianka: Bystrá, Štiavnička: Mýto pod Ďumbierom, and Boca: Kráľova Lehota.T-year minimum specific runoff qmin was processed using files containing annual minimum flows from 1-and 7-day minima per hydrological year.For the analysis of long-term precipitation trends, datasets of annual precipitation totals from stations Banská Štiavnica (575 m a.s.l),Brezno (487 m a.s.l), and Vyšná Boca (930 m a.s.l) were utilized.Across all catchments, a similar long-term trend in minimum specific discharges was observed: a decline during the period 1931-1965, decadal minima around 1983-1992, and a slight increase post-1991 (with a significant increase in Boca).This trend correlates with the long-term precipitation trend.The lowest decadal precipitation totals at the respective stations occurred during the years 1982-1991 ±1 year.
Halmová et al. (Wed,) studied this question.