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Comparison of classical and Theil-Kendall methods in assessing the significance of linear trend of precipitation in south-eastern Poland

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Języki publikacji
EN
Abstrakty
EN
Two methods of linear trend estimation: the ordinary least squares (OLS, parametric) and Theil-Kendall (TK, nonparametric) are compared in the paper. The comparison was made using 65 time series of annual totals, Pa , and annual daily maximum, Pmax, of precipitation, 30-year long each, recorded in the south-eastern part of Poland (the Upper Vistula catchment). The OLS and TK slope coefficients of trends revealed high similarity for both Pa and Pmax series. The signs of slopes are the same for 64 sites for Pa and 63 sites for Pmax with positive signs prevailing: the numbers of decreasing trends for Pa OLS and TK slopes were 3 and 4, respectively, and, for Pmax, 13 for both OLS and TK slopes. In trend significance testing, both methods produced similar results for Pa time series: out of 16 significant trends, 13 were determined with both OLS and TK at the same sites. For Pmax series such agreement was found for 4 trends out of 10. Spatial distribution of significant trends showed a kind of clustering in certain parts of the investigated area.
Rocznik
Tom
Strony
1439--1450
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
  • Cracow University of Technology Institute of Water Engineering and Water Management ul. Warszawska 24 31-155 Kraków
Bibliografia
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  • Douglas E.M., Vogel R.M., Kroll C.N. ( 2000). Trends in floods and low flows in the United States: impact of spatial correlation, Journal of Hydrology 240 (2000) 90-105.
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Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a9482134-1c7f-40ec-8c3b-7f1ab1973e94
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