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.
Research article
| 
27 Sep 2023
Research article |
| 27 Sep 2023
| 27 Sep 2023
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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19 citations as recorded by crossref.
- Trigger thresholds and propagation mechanism of meteorological drought to agricultural drought in an inland river basin L. Wang et al. 10.1016/j.agwat.2025.109378
- Integrating crop models and machine learning for projecting climate change impacts on crops in data-limited environments S. Alimagham et al. 10.1016/j.agsy.2025.104367
- Combined Drought Index Using High-Resolution Hydrological Models and Explainable Artificial Intelligence Techniques in Türkiye E. Başakın et al. 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. 10.1016/j.jenvman.2025.125079
- Critical droughts extracted from dry periods Y. Cavus & H. Aksoy 10.1007/s11069-024-06947-w
- Drought analysis based on nonparametric multivariate standardized drought index in the Seyhan River Basin T. Terzi & B. Önöz 10.1007/s11069-025-07234-y
- Drought analysis in the Seyhan River Basin based on standardized drought indices using a new approach considering seasonality T. Terzi & B. Önöz 10.1007/s12665-024-12039-6
- Formative drought rate to quantify propagation from meteorological to hydrological drought I. Yildirim et al. 10.1002/hyp.15229
- From Cut-in to Qanats - Ancient Groundwater Extraction Techniques H. WITTENBERG & H. AKSOY 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 10.1016/j.landusepol.2025.107593
- Meteorological Drought Assessment in the Middle Moulouya Basin, Morocco, Using Meteorological Drought Indices N. Lghabi et al. 10.1007/s41748-025-00688-x
- Correlation vs. Kappa statistic: a new perspective on comparing meteorological drought indices P. Pandya & N. Gontia 10.1007/s00704-024-05291-0
- DroughtStats: A comprehensive software for drought monitoring and analysis T. Terzi & B. Önöz 10.1007/s12145-024-01687-8
- Advanced drought analysis using a novel copula-based multivariate index: a case study of the Ceyhan River Basin T. Terzi & B. Önöz 10.1007/s40899-025-01189-5
- Projected increase in global compound agricultural drought and hot events under climate change W. Shi et al. 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. 10.1007/s13201-025-02482-6
- Beyond Traditional Metrics: Exploring the Potential of Hybrid Algorithms for Drought Characterization and Prediction in the Tromso Region, Norway S. Oruc et al. 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. 10.1002/vzj2.70014
- Drought characteristics in Mediterranean under future climate change Y. Essa et al. 10.1038/s41612-023-00458-4
18 citations as recorded by crossref.
- Trigger thresholds and propagation mechanism of meteorological drought to agricultural drought in an inland river basin L. Wang et al. 10.1016/j.agwat.2025.109378
- Integrating crop models and machine learning for projecting climate change impacts on crops in data-limited environments S. Alimagham et al. 10.1016/j.agsy.2025.104367
- Combined Drought Index Using High-Resolution Hydrological Models and Explainable Artificial Intelligence Techniques in Türkiye E. Başakın et al. 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. 10.1016/j.jenvman.2025.125079
- Critical droughts extracted from dry periods Y. Cavus & H. Aksoy 10.1007/s11069-024-06947-w
- Drought analysis based on nonparametric multivariate standardized drought index in the Seyhan River Basin T. Terzi & B. Önöz 10.1007/s11069-025-07234-y
- Drought analysis in the Seyhan River Basin based on standardized drought indices using a new approach considering seasonality T. Terzi & B. Önöz 10.1007/s12665-024-12039-6
- Formative drought rate to quantify propagation from meteorological to hydrological drought I. Yildirim et al. 10.1002/hyp.15229
- From Cut-in to Qanats - Ancient Groundwater Extraction Techniques H. WITTENBERG & H. AKSOY 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 10.1016/j.landusepol.2025.107593
- Meteorological Drought Assessment in the Middle Moulouya Basin, Morocco, Using Meteorological Drought Indices N. Lghabi et al. 10.1007/s41748-025-00688-x
- Correlation vs. Kappa statistic: a new perspective on comparing meteorological drought indices P. Pandya & N. Gontia 10.1007/s00704-024-05291-0
- DroughtStats: A comprehensive software for drought monitoring and analysis T. Terzi & B. Önöz 10.1007/s12145-024-01687-8
- Advanced drought analysis using a novel copula-based multivariate index: a case study of the Ceyhan River Basin T. Terzi & B. Önöz 10.1007/s40899-025-01189-5
- Projected increase in global compound agricultural drought and hot events under climate change W. Shi et al. 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. 10.1007/s13201-025-02482-6
- Beyond Traditional Metrics: Exploring the Potential of Hybrid Algorithms for Drought Characterization and Prediction in the Tromso Region, Norway S. Oruc et al. 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. 10.1002/vzj2.70014
1 citations as recorded by crossref.
Latest update: 30 Jun 2025
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...
