Effective drought analysis by different methodological integrations in Yeşilirmak Basin, Turkey Online publication date: Fri, 10-Mar-2023
by Uğur Serencam
International Journal of Global Warming (IJGW), Vol. 29, No. 3, 2023
Abstract: Three different methodologies are integrated to identify hydrological drought characteristics in a drainage basin based on annual runoff discharge time series. First the cumulative distribution functions (CDFs) are identified by a set of risk levels for engineering water resources management. The standard precipitation index (SPI) is applied for 'normal', 'moderately', 'severely' and 'extremely' drought classification purpose. Regional drought assessment is accomplished by means of percentages of each drought class. For climate change impact assessment innovative trend analysis (ITA) is applied to SPI time series. The application of the methodology is presented for six sets of runoff data from the Northern Black Sea Yeilrmak drainage basin in Turkey. It is observed that each sub-drainage basin is subject to runoff volume reduction due to the climate change. The findings of this paper shed light on future similar studies by taking into account mentioned methodologies.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Global Warming (IJGW):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook