Akademik Veri Yönetim Sistemi
6th INTERNATIONAL CONGRESS ON ENGINEERING AND LIFE SCIENCE, Girne, Kıbrıs (Kktc), 2 - 04 Eylül 2025, ss.33, (Özet Bildiri)
Drought is one of the most important hydroclimatic disasters directly affecting the natural environment and human life. It is of great importance to monitor and analyze droughts, which bring many negative consequences such as decreasing water resources, decreasing agricultural production, and damaging ecosystems. In this study, monthly flow data of station D12A33 in Sakarya Basin between October 1990 and November 2020 were used. For station D12A33, the Standard Streamflow Index (SDI) was calculated for 1, 3, 6, 9, and 12-month scales, and drought analyses were performed. Droughts were categorised at different time scales and extreme, severe and moderate drought periods were determined. The findings show that extreme drought events are not observed in 1 and 3-month scales, whereas extreme drought events occur in 6, 9 and 12-month scales. The extreme drought values in these three scales were found to be -2.39, -2.69 and -2.80, respectively. In the SDI-12 index, the drought in August 2009 was recorded as the most severe drought with a severity of -2.80. In five different time scales, especially the period between 2008-2009 stands out as a period of the longest droughts, lasting 13 months on average. Similarly, the average drought values in SDI-1 and SDI-3 drought indices were - 1.40 and -1.34, while the average drought values in SDI-6, SDI-9 and SDI-12 drought indices were - 1.39, -1.46 and -1.51. The total drought rate is low in the SDI-1 and SDI-3 drought indices (12.32% and 14.93%), but slightly higher in the SDI-6, SDI-9 and SDI-12 drought indices at about 16%. As a result of this study, SDI-6, SDI-9 and SDI-12 are riskier in terms of both duration and severity in drought indices, pointing out the importance of long-term monitoring studies in the management of water resources in the region. In addition, it was evaluated that drought frequency and severity may increase due to the impact of climate change, and therefore, early warning systems should be strengthened. This study has shown that flow-based drought analysis using SDI is an effective method for water resources management and disaster planning. Keywords: Standard Streamflow Index (SDI), Hydrological Drought, Türkiye