Drought analyses of Eastern Mediterranean, Seyhan, Ceyhan, and Asi Basins by using aggregate drought index (ADI)

Topçu E., SEÇKİN N., Haktanır N. A.

Theoretical and Applied Climatology, vol.147, no.3-4, pp.909-924, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 147 Issue: 3-4
  • Publication Date: 2022
  • Doi Number: 10.1007/s00704-021-03873-w
  • Journal Name: Theoretical and Applied Climatology
  • Journal Indexes: 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
  • Page Numbers: pp.909-924
  • Kayseri University Affiliated: No


© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.Meteorological drought analyses were conducted for Eastern Mediterranean, Seyhan, Ceyhan, and Asi Basins located in the south of Turkey. The gauged data of total precipitation, average temperature, relative humidity, number of sunny days, and number of overcast days, all in monthly steps, obtained from 35 meteorological stations were used as drought indicators. Aggregate drought index (ADI) was used as drought index calculator. Meteorological data series were arranged in accordance with the hydrological years starting on October 1st and ending on September 30th. The ADI results were organized in order to see the variation of the ADI values of the stations from year to year. ADI thresholds were determined individually for all stations. The ADI results obtained by using the principal component analysis (PCA) were presented in form of drought maps by using the inverse distance weighting (IDW) method. The regional drought frequency analysis by the L-moments method was performed to determine extreme ADI values corresponding to generally referred to specific average return periods. Using both the growth curves yielded by the most suitable probability distributions and the regression equations for the means, the extreme ADI values against these average return periods were computed and presented in tabular forms. According to the outcome of the ADI results, it can be concluded that a severe drought does not prevail over the study area as a whole, but some stations experience extreme droughts locally from time to time because of excessive irrigation water demand.