Abstract

Drought forecasting is a critical aspect of water resource management, where droughts have substantial economic and environmental impacts. This study employs a Monte Carlo–based approach, complemented by statistical distribution fitting and trend analysis, to forecast future streamflows on long-narrow type drainage basins. Therefore, the Kızılırmak River Basin in Turkey, which is a long and narrow type, has been selected to test the suggested method. Historical data are used to determine the best-fitting distributions, ensuring reliability in the selection of future streamflow scenarios also using trend analysis. The study reveals valuable insights into potential drought occurrences over the next 25 years, aiding decision makers in implementing water management strategies. Based on the analysis results, it is expected that the drought frequency is increased up to 64.7%. Drought severity is classified into different categories, offering an understanding of drought characteristics. The findings contribute to effective water resource planning by aiming the assessment of future hydrological droughts.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The author T. Baykal was supported by the Council of Higher Education’s 100/2000 Doctoral Scholarship.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 29Issue 3June 2024

History

Received: Aug 10, 2023
Accepted: Jan 26, 2024
Published online: Apr 13, 2024
Published in print: Jun 1, 2024
Discussion open until: Sep 13, 2024

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Assistant Professor, Dept. of Civil Engineering, Engineering and Natural Sciences Faculty, Suleyman Demirel Univ., Isparta 32260, Turkey (corresponding author). ORCID: https://orcid.org/0000-0001-6218-0826. Email: [email protected]
Associate Professor, Dept. of Civil Engineering, Engineering and Natural Sciences Faculty, Suleyman Demirel Univ., Isparta 32260, Turkey. ORCID: https://orcid.org/0000-0003-0734-1900. Email: [email protected]
Assistant Professor, Dept. of Property Protection and Security, Suleyman Demirel Univ., Isparta 32260, Turkey. ORCID: https://orcid.org/0000-0002-0087-0933. Email: [email protected]
Professor, Dept. of Civil Engineering, Technology Faculty, Isparta Applied Sciences Univ., Isparta 32260, Turkey. ORCID: https://orcid.org/0000-0001-6429-5176. Email: [email protected]

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