LONG-TERM TREND ANALYSIS OF ANNUAL PRECIPITATION FOR SHORT PERIODICITIES


YERDELEN C. , Abdelkader M.

ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, vol.20, no.11, pp.1721-1729, 2021 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 20 Issue: 11
  • Publication Date: 2021
  • Title of Journal : ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL
  • Page Numbers: pp.1721-1729
  • Keywords: change point, discrete wavelet transform, precipitation, trend analysis, WAVELET TRANSFORM, TEMPERATURE, DROUGHT

Abstract

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.