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

• Autorzy: Węglarczyk S.

Identyfikatory

DOI

10.14597/infraeco.2016.4.2.106

• 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.

Słowa kluczowe

EN

annual precipitation total; annual daily maximum precipitation; Upper Vistula River; ordinary least squares linear regression; Kendall-Theil linear regression

• Wydawca: Stowarzyszenie Infrastruktura i Ekologia Terenów Wiejskich
• Czasopismo: Infrastruktura i Ekologia Terenów Wiejskich
• Rocznik: 2016
• Tom: nr IV/2
• Strony: 1439--1450
• Opis fizyczny: Bibliogr. 19 poz., rys., tab., wykr.

Twórcy

autor

Węglarczyk S.

• Cracow University of Technology Institute of Water Engineering and Water Management ul. Warszawska 24 31-155 Kraków

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).