369
Views
3
CrossRef citations to date
0
Altmetric
Case Report

Investigation of trends in extreme events: a case study of Ceyhan Basin, Turkey

ORCID Icon, ORCID Icon & ORCID Icon
Pages 317-332 | Received 07 Dec 2021, Accepted 11 Aug 2022, Published online: 12 Sep 2022
 

Abstract

Investigation of natural hazards is crucial for regional water management and disaster preparedness. In this study, trends in annual maximum, minimum and average temperature; annual maximum dry season deficit (DS deficit), dry season duration (DS duration), wet season excess rain (WS excess) and wet season duration (WS duration) were examined. The analyses of extreme events were identified by applying the SPI drought index for multiple-time scales of 1-, 3-, 6-month, for meteorological stations located in the Ceyhan Basin, Turkey. While the homogeneity of the data was analyzed with the Wallis-Moore method, trend analysis was performed with the Mann-Kendall test. In addition, the determination of the change-point year was performed with the Standard Normal Homogeneity Test (SNHT) and Buishand’s Range Test. The findings will be useful to water management decision-makers in the Ceyhan River Basin in assessing the impact of droughts and planning drought mitigation strategies to avoid future drought risks.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 182.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.