LONG-TERM TREND ANALYSIS OF ANNUAL PRECIPITATION FOR SHORT PERIODICITIES
Makaleler > Tam Makale · 2021
Yazarlar: Cahit YERDELEN, Mohamed Abdelkader
Environmental Engineering and Management Journal, Uluslararası, Wos, 2021, cilt 20, ss 1721-1729
Özet
The climate variability analysis is often performed by studying trends in hydro-climatic series.In this study, precipitation series trend analysis was performed by applying the parametric test of linear regression and the non-parametric tests of Mann-Kendall (MK) and Pettitt's.Trend tests were applied on the original precipitation series and the denoised precipitation series via the discrete wavelet transform (DWT).This study aims-to evaluate the classical and new approaches used for analyzing precipitation trends.The paper presents a new approach for analyzing non-significant trends by combining Pettitt's test, linear regression, and discrete wavelet transforms.The most effective periodic component of the time series was determined, and precipitation series were transformed for a short-term periodicity scale (2-years).The trend analysis results obtained from the denoised precipitation series had presented more significant results than those of the original series.