Articles | Volume 27, issue 18
https://doi.org/10.5194/hess-27-3427-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-3427-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Drought intensity–duration–frequency curves based on deficit in precipitation and streamflow for water resources management
Yonca Cavus
CORRESPONDING AUTHOR
Department of Civil Engineering, Beykent University, Istanbul, Türkiye
Graduate School, Istanbul Technical University, Istanbul, Türkiye
Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Kerstin Stahl
Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Hafzullah Aksoy
Department of Civil Engineering, Istanbul Technical University, Istanbul, Türkiye
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- Integrating crop models and machine learning for projecting climate change impacts on crops in data-limited environments S. Alimagham et al. https://doi.org/10.1016/j.agsy.2025.104367
- Uzun Süreli Kurak Dönem Sonrasında Meydana Gelen 1995 Senirkent Taşkını Özelinde Bağımsız Ardışık Hidrolojik Afetlerin Risk Yönetimi H. Aksoy et al. https://doi.org/10.18400/tjce.1704680
- Drought analysis in the Seyhan River Basin based on standardized drought indices using a new approach considering seasonality T. Terzi & B. Önöz https://doi.org/10.1007/s12665-024-12039-6
- Formative drought rate to quantify propagation from meteorological to hydrological drought I. Yildirim et al. https://doi.org/10.1002/hyp.15229
- From Cut-in to Qanats - Ancient Groundwater Extraction Techniques H. WITTENBERG & H. AKSOY https://doi.org/10.18400/tjce.1247836
- Implementation of deep learning algorithms to model agricultural drought towards sustainable land management in Namibia's Omusati region S. Iilonga & O. Ajayi https://doi.org/10.1016/j.landusepol.2025.107593
- Advanced drought analysis using a novel copula-based multivariate index: a case study of the Ceyhan River Basin T. Terzi & B. Önöz https://doi.org/10.1007/s40899-025-01189-5
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- A multi-indicator, data-driven framework for spatiotemporal analysis of compound droughts in the Southern Caspian Basin K. Aghajanloo et al. https://doi.org/10.1016/j.scitotenv.2026.181637
- Combined Drought Index Using High-Resolution Hydrological Models and Explainable Artificial Intelligence Techniques in Türkiye E. Başakın et al. https://doi.org/10.3390/rs16203799
- Investigating the vulnerability and resilience capacity of different land cover types to flash drought: A case study in the Mississippi River Basin S. Bakar et al. https://doi.org/10.1016/j.jenvman.2025.125079
- Critical droughts extracted from dry periods Y. Cavus & H. Aksoy https://doi.org/10.1007/s11069-024-06947-w
- Mechanisms of meteorological drought propagation to hydrological drought in the upper Shiyang River Basin, China P. Huang et al. https://doi.org/10.1007/s40333-025-0106-7
- Beyond simple flash drought detection: An operational index to analyse the development speed of droughts at global scale C. Cammalleri et al. https://doi.org/10.1016/j.wace.2025.100800
- Multi-scale meteorological and hydrological drought severity in a high-altitude Himalayan basin: An intensity–duration–frequency approach using SPI and SSI (1970–2016) N. Ejaz et al. https://doi.org/10.1007/s11629-025-0325-6
- Drought analysis based on nonparametric multivariate standardized drought index in the Seyhan River Basin T. Terzi & B. Önöz https://doi.org/10.1007/s11069-025-07234-y
- Hybrid Wavelet–ML models for regional drought forecasting in Norway T. Tuğrul et al. https://doi.org/10.1038/s41598-025-22416-1
- Meteorological Drought Assessment in the Middle Moulouya Basin, Morocco, Using Meteorological Drought Indices N. Lghabi et al. https://doi.org/10.1007/s41748-025-00688-x
- Correlation vs. Kappa statistic: a new perspective on comparing meteorological drought indices P. Pandya & N. Gontia https://doi.org/10.1007/s00704-024-05291-0
- DroughtStats: A comprehensive software for drought monitoring and analysis T. Terzi & B. Önöz https://doi.org/10.1007/s12145-024-01687-8
- Projected increase in global compound agricultural drought and hot events under climate change W. Shi et al. https://doi.org/10.1016/j.gloplacha.2025.104962
- Assessing short- and long-term drought severity and return periods using bivariate copula models in Saudi Arabia S. Alqadhi et al. https://doi.org/10.1007/s13201-025-02482-6
- Detection and characterization of meteorological drought and its impacts in the UNESCO designated world heritage site of Konso Cultural Landscape, southern Ethiopia Y. Assen et al. https://doi.org/10.1007/s44274-025-00486-2
- Beyond Traditional Metrics: Exploring the Potential of Hybrid Algorithms for Drought Characterization and Prediction in the Tromso Region, Norway S. Oruc et al. https://doi.org/10.3390/app14177813
- A formulation for assessing the risk of anthropogenic drought based on drought characteristics and socioeconomic and physical factors J. Ahmadi Lavin et al. https://doi.org/10.1002/vzj2.70014
Saved (final revised paper)
Latest update: 08 Jul 2026
Short summary
With intensified extremes under climate change, water demand increases. Every drop of water is more valuable than before when drought is experienced particularly. We developed drought intensity–duration–frequency curves using physical indicators, the deficit in precipitation and streamflow, for a more straightforward interpretation. Tests with the observed major droughts in two climatologically different catchments confirmed the practical applicability of the curves under drought conditions.
With intensified extremes under climate change, water demand increases. Every drop of water is...