Spatio-temporal analysis of meteorological and hydrological droughts in the Euphrates Basin, Turkey


KATİPOĞLU O. M. , ACAR R., ŞENOCAK S.

Water Science and Technology: Water Supply, vol.21, no.4, pp.1657-1673, 2021 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 21 Issue: 4
  • Publication Date: 2021
  • Doi Number: 10.2166/ws.2021.019
  • Journal Name: Water Science and Technology: Water Supply
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Compendex, EMBASE, Environment Index, Geobase, ICONDA Bibliographic, Pollution Abstracts, Veterinary Science Database, Directory of Open Access Journals
  • Page Numbers: pp.1657-1673
  • Keywords: Drought, Drought index, Drought map, Interpolation, Precipitation, Spatio-temporal analysis
  • Erzincan Binali Yildirim University Affiliated: Yes

Abstract

© 2021 The Authors.In this study, the aim was to measure changes in the spatio-temporal distribution of a potential drought hazard area and determine the risk status of various meteorological and hydrological droughts by using the kriging, radial basis function (RBF), and inverse distance weighting (IDW) interpolation methods. With that goal, in monthly, three-month, and 12-month time periods drought indices were calculated. Spatio-temporal distributions of the droughts were determined with each drought index for the years in which the most severe droughts were experienced. According to the results, the basin is under risk of meteorological drought due to the occurrence of severe and extreme droughts in most of the area, and especially in the north, during the monthly and three-month time periods. During the 12-month period, it was found that most of the basin is under risk of hydrological drought due to the occurrence of severe and extreme droughts, especially in the southern parts. The most effective interpolation method for the prediction of meteorological and hydrological droughts was determined as kriging according to the results of the cross-validation test. It was concluded that a drought management plan should be made, and early warnings and precautions should be applied in the study area.