The procedure of detecting drought trend by using Sen's innovative trend analysis methodology

Aydın M.

PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, cilt.178, sa.1, ss.62-71, 2024 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 178 Sayı: 1
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1680/jwama.23.00026
  • Dergi Adı: PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, Environment Index, Geobase, ICONDA Bibliographic, INSPEC, Metadex, Pollution Abstracts, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.62-71
  • Anahtar Kelimeler: innovative trend analysis, drought trend, standard precipitation index, central park, UN SDG 13
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

The increasing occurrence of drought has negative effects on water resources. To prevent these negative effects, it is of great importance to know drought trends over time. Many methods are used in the literature to determine the severity of drought, one of which is the standard precipitation index (SPI), which is calculated based on precipitation data. The SPI method was chosen in this study because it is widely used in the literature for its simplicity, flexibility and effectiveness in characterising drought duration and intensity. There are different classifications of drought severity in the SPI method, so it is very important to know the individual trends for each classification. Classical trend detection methods (such as the Mann-Kendall method) require a separate analysis for each drought classification. However, using en's innovative trend analysis, it becomes possible to determine the trends for all drought classifications on a single graph. In this way, the change of drought events over time can be easily determined for all drought classifications.