Wavelet combined innovative trend analysis for precipitation data in the Euphrates-Tigris basin, Turkey

Sezen C., Partal T.

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, vol.65, no.11, pp.1909-1927, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 65 Issue: 11
  • Publication Date: 2020
  • Doi Number: 10.1080/02626667.2020.1784422
  • Journal Name: HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, IBZ Online, PASCAL, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Compendex, Geobase, INSPEC, Pollution Abstracts, Civil Engineering Abstracts
  • Page Numbers: pp.1909-1927
  • Keywords: Euphrates-Tigris, North Atlantic Oscillation, precipitation, trend analysis, Turkey, wavelet, NORTH-ATLANTIC OSCILLATION, PRACTICAL GUIDE, TEMPERATURE, VARIABILITY, STREAMFLOW, CLIMATE, IMPACT
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

In this study, annual and seasonal precipitation trend analysis was performed in the Euphrates-Tigris basin, Turkey, using innovative trend analysis (ITA) and discrete wavelet transformation. In this context, it was seen that there is a downward trend in winter, spring and annual precipitation, whereas precipitation has an increasing tendency in summer and autumn seasons, in the greater part of the basin. When annual and seasonal data were decomposed into wavelet components, the most significant trends were observed for high-periodic wavelet components, such as D3 (8-year), D4 (16-year) and D5 (32-year), where these components represent the periods of the precipitation data. Then, the relationship between North Atlantic Oscillation (NAO) and trend in precipitation was investigated. In this regard, it was found that there could be a significant relationship between the NAO and precipitation trends of the Euphrates-Tigris basin, especially in winter, based on the wavelet ITA.