A new wavelet combined innovative polygon trend analysis (W-IPTA) approach for investigating the trends in the streamflow regime in the Konya Closed Basin, Turkey


Sezen C.

THEORETICAL AND APPLIED CLIMATOLOGY, cilt.151, ss.1523-1565, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 151
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s00704-022-04328-6
  • Dergi Adı: THEORETICAL AND APPLIED CLIMATOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, IBZ Online, PASCAL, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Artic & Antarctic Regions, BIOSIS, CAB Abstracts, Environment Index, Geobase, Index Islamicus, INSPEC, Pollution Abstracts, Veterinary Science Database
  • Sayfa Sayıları: ss.1523-1565
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

The investigation of variability in hydrometeorological variables is crucial for water resources management and planning. In this study, trends in monthly streamflow were investigated using a novel wavelet-based Innovative Polygon Trend Analysis (W-IPTA) approach in the Konya Closed Basin, Turkey, which has semi-arid and changing climate conditions. Initially, homogeneity tests were applied to the streamflow data of thirteen discharge gauging stations, and eight of them were found homogeneous. Then, IPTA was performed, and mostly decreasing trends in mean streamflow were detected, particularly in the southern part of the basin. Increasing trends were generally observed in the standard deviation of streamflow data and the transitional period between winter and spring months in mean values in the western part of the basin. The W-IPTA indicated that decreasing trends were in short-term periods in the southern part of the basin while increasing trends were in the western part of the basin. In addition, decreasing trends were determined in the long-term period in most stations in the basin. The relationship between atmospheric teleconnections (i.e., North Atlantic Oscillation (NAO), Arctic Oscillation (AO), and North Sea Caspian Pattern (NCP)) and streamflow data was investigated using Spearman's rank correlation and wavelet coherence analysis. A significant negative relationship between the NAO, AO, NCP, and streamflow was determined, especially in the winter months. Accordingly, it was found that the atmospheric teleconnections could be influential on the trends in the streamflow regime as well as anthropogenic and geographical factors in the basin.