Articles | Volume 17, issue 6
https://doi.org/10.5194/hess-17-2281-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-17-2281-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Jun 2013
Research article |
| 21 Jun 2013
Optimal depth-based regional frequency analysis
H. Wazneh
INRS-ETE, 490 rue de la Couronne, Québec, QC, G1K 9A9, Canada
F. Chebana
INRS-ETE, 490 rue de la Couronne, Québec, QC, G1K 9A9, Canada
T. B. M. J. Ouarda
Masdar Institute of Science and Technology, P.O. Box 54224, Abu Dhabi, UAE
INRS-ETE, 490 rue de la Couronne, Québec, QC, G1K 9A9, Canada
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Cited
18 citations as recorded by crossref.
- Delineation of homogeneous regions for regional frequency analysis using statistical depth function H. Wazneh et al. https://doi.org/10.1016/j.jhydrol.2014.11.068
- Quantile Regression in Regional Frequency Analysis: A Better Exploitation of the Available Information D. Ouali et al. https://doi.org/10.1175/JHM-D-15-0187.1
- Depth-based regional index-flood model H. Wazneh et al. https://doi.org/10.1002/2013WR013523
- Event indicator analysis using depth functions to explain the occurrence of large floods in Germany B. Guse et al. https://doi.org/10.1080/02626667.2026.2710212
- Searching for homogeneous regions in regional flood frequency analysis for Southeast Australia A. Ahmed et al. https://doi.org/10.1016/j.ejrh.2024.101782
- Nonparametric catchment clustering using the data depth function S. Singh et al. https://doi.org/10.1080/02626667.2016.1168927
- Multivariate shift testing for hydrological variables, review, comparison and application F. Chebana et al. https://doi.org/10.1016/j.jhydrol.2017.02.033
- Identification of hydrological neighborhoods for regional flood frequency analysis using statistical depth function H. Wazneh et al. https://doi.org/10.1016/j.advwatres.2016.05.013
- Artificial Intelligence-Based Regional Flood Frequency Analysis Methods: A Scoping Review A. Zalnezhad et al. https://doi.org/10.3390/w14172677
- Non-linear canonical correlation analysis in regional frequency analysis D. Ouali et al. https://doi.org/10.1007/s00477-015-1092-7
- Flood Frequency Analysis at Ungauged Sites Based on Regionally Estimated Streamflows A. Requena et al. https://doi.org/10.1175/JHM-D-16-0143.1
- Impacts of the Degree of Heterogeneity on Design Flood Estimates: Region of Influence vs. Fixed Region Approaches A. Ahmed et al. https://doi.org/10.3390/w17182765
- Regional Frequency Analysis at Ungauged Sites with the Generalized Additive Model F. Chebana et al. https://doi.org/10.1175/JHM-D-14-0060.1
- Comparison of Nonstationary Regional Flood Frequency Analysis Techniques Based on the Index-Flood Approach C. Kalai et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001939
- Flood frequency estimation in New Zealand using a region of influence approach and statistical depth functions G. Griffiths et al. https://doi.org/10.1016/j.jhydrol.2020.125187
- Optimal regionalization of extreme value distributions for flood estimation P. Asadi et al. https://doi.org/10.1016/j.jhydrol.2017.10.051
- Comparing Performance of ANN and SVM Methods for Regional Flood Frequency Analysis in South-East Australia A. Zalnezhad et al. https://doi.org/10.3390/w14203323
- Fully nonlinear statistical and machine‐learning approaches for hydrological frequency estimation at ungauged sites D. Ouali et al. https://doi.org/10.1002/2016MS000830
18 citations as recorded by crossref.
- Delineation of homogeneous regions for regional frequency analysis using statistical depth function H. Wazneh et al. https://doi.org/10.1016/j.jhydrol.2014.11.068
- Quantile Regression in Regional Frequency Analysis: A Better Exploitation of the Available Information D. Ouali et al. https://doi.org/10.1175/JHM-D-15-0187.1
- Depth-based regional index-flood model H. Wazneh et al. https://doi.org/10.1002/2013WR013523
- Event indicator analysis using depth functions to explain the occurrence of large floods in Germany B. Guse et al. https://doi.org/10.1080/02626667.2026.2710212
- Searching for homogeneous regions in regional flood frequency analysis for Southeast Australia A. Ahmed et al. https://doi.org/10.1016/j.ejrh.2024.101782
- Nonparametric catchment clustering using the data depth function S. Singh et al. https://doi.org/10.1080/02626667.2016.1168927
- Multivariate shift testing for hydrological variables, review, comparison and application F. Chebana et al. https://doi.org/10.1016/j.jhydrol.2017.02.033
- Identification of hydrological neighborhoods for regional flood frequency analysis using statistical depth function H. Wazneh et al. https://doi.org/10.1016/j.advwatres.2016.05.013
- Artificial Intelligence-Based Regional Flood Frequency Analysis Methods: A Scoping Review A. Zalnezhad et al. https://doi.org/10.3390/w14172677
- Non-linear canonical correlation analysis in regional frequency analysis D. Ouali et al. https://doi.org/10.1007/s00477-015-1092-7
- Flood Frequency Analysis at Ungauged Sites Based on Regionally Estimated Streamflows A. Requena et al. https://doi.org/10.1175/JHM-D-16-0143.1
- Impacts of the Degree of Heterogeneity on Design Flood Estimates: Region of Influence vs. Fixed Region Approaches A. Ahmed et al. https://doi.org/10.3390/w17182765
- Regional Frequency Analysis at Ungauged Sites with the Generalized Additive Model F. Chebana et al. https://doi.org/10.1175/JHM-D-14-0060.1
- Comparison of Nonstationary Regional Flood Frequency Analysis Techniques Based on the Index-Flood Approach C. Kalai et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001939
- Flood frequency estimation in New Zealand using a region of influence approach and statistical depth functions G. Griffiths et al. https://doi.org/10.1016/j.jhydrol.2020.125187
- Optimal regionalization of extreme value distributions for flood estimation P. Asadi et al. https://doi.org/10.1016/j.jhydrol.2017.10.051
- Comparing Performance of ANN and SVM Methods for Regional Flood Frequency Analysis in South-East Australia A. Zalnezhad et al. https://doi.org/10.3390/w14203323
- Fully nonlinear statistical and machine‐learning approaches for hydrological frequency estimation at ungauged sites D. Ouali et al. https://doi.org/10.1002/2016MS000830
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