EVALUATING THE TRENDS OF HYDROLOGICAL DROUGHT USING FREQUENCY INNOVATIVE TREND ANALYSIS METHODOLOGY (F-ITA) IN THE KONYA CLOSED BASIN, TÜRKİYÉ


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Arra A. A., Şişman E.

12th INTERNATIONAL NEW YORK CONFERENCE ON EVOLVING TRENDS IN INTERDISCIPLINARY RESEARCH & PRACTICES, New York, Amerika Birleşik Devletleri, 21 - 24 Ağustos 2025, cilt.1, ss.28, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Cilt numarası: 1
  • Basıldığı Şehir: New York
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.28
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Analyzing drought trends is crucial for understanding the risks of long-term water scarcity, especially in arid and semi-arid regions such as the Konya Closed Basin in Türkiye. Although many statistical methods are used for trend analysis, most neglect the frequency of different drought categories, such as moderate, severe, and extreme drought. This study aims to apply the Frequency-Innovated Trend Analysis (F-ITA) method to the Streamflow Drought Index (SDI) to comprehensively assess hydrological drought trends during the study period. Most previous studies focused only on trend values (increase or decrease) using traditional methods such as Mann-Kendall, without considering the frequency of drought categories. This raises the research question: How can combining the frequency of drought categories with trend analysis improve our understanding of hydrological drought dynamics in closed basins? The study's main objective is to analyze the trend of hydrological drought with frequency using F-ITA within the Konya Closed Basin. The results showed that some stations showed an increase and some showed a decrease trend in SDI values. Still, there is an increasing trend in hydrological drought, particularly during the summer and fall seasons. The study highlights the importance of using F-ITA to detect hidden changes in drought patterns, providing deeper insights for decision-makers and policymakers in water resource management and climate change mitigation.