Articles | Volume 21, issue 3
https://doi.org/10.5194/hess-21-1651-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-1651-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Mar 2017
Research article |
| 21 Mar 2017
Heterogeneity measures in hydrological frequency analysis: review and new developments
Ana I. Requena
CORRESPONDING AUTHOR
Institut National de la Recherche Scientifique (INRS), Centre Eau Terre Environnement (ETE), Quebec, G1K-9A9, Canada
Fateh Chebana
Institut National de la Recherche Scientifique (INRS), Centre Eau Terre Environnement (ETE), Quebec, G1K-9A9, Canada
Taha B. M. J. Ouarda
Institute Center for Water and Environment (iWATER), Masdar Institute of Science and Technology, P.O. Box 54224, Abu Dhabi, United Arab Emirates
Institut National de la Recherche Scientifique (INRS), Centre Eau Terre Environnement (ETE), Quebec, G1K-9A9, Canada
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Cited
15 citations as recorded by crossref.
- 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
- Multivariate regional frequency analysis: Two new methods to increase the accuracy of measures A. Abdi et al. https://doi.org/10.1016/j.advwatres.2017.07.006
- A Silhouette-Width-Induced Hierarchical Clustering for Defining Flood Estimation Regions A. Mulaomerović-Šeta et al. https://doi.org/10.3390/hydrology10060126
- A functional framework for flow-duration-curve and daily streamflow estimation at ungauged sites A. Requena et al. https://doi.org/10.1016/j.advwatres.2018.01.019
- Regional Flood Frequency Analysis in the Doce River Basin and Coastal Regions in Espírito Santo State, Brazil – Evaluation of the Performance of L-Moments Approach B. Faria et al. https://doi.org/10.24857/rgsa.v18n3-046
- Rogue and extreme floods in North America P. Whitfield & D. Burn https://doi.org/10.1016/j.jhydrol.2026.135389
- How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset H. Tyralis et al. https://doi.org/10.1016/j.jhydrol.2019.04.070
- Pooled frequency analysis for intensity–duration–frequency curve estimation A. Requena et al. https://doi.org/10.1002/hyp.13456
- Development of a Bayesian-copula-based frequency analysis method for hydrological risk assessment – The Naryn River in Central Asia Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2019.124349
- Investigation on flood event variations at space and time scales in the Huaihe River Basin of China using flood behavior classification Y. Zhang et al. https://doi.org/10.1007/s11442-020-1827-3
- Use of Flood Seasonality in Pooling‐Group Formation and Quantile Estimation: An Application in Great Britain G. Formetta et al. https://doi.org/10.1002/2017WR021623
- Bivariate regional extreme value analysis for significant wave height and wave period E. Vanem https://doi.org/10.1016/j.apor.2020.102266
- Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs M. Brunner et al. https://doi.org/10.1002/2017WR021650
- Estimating flood quantiles at ungauged sites using nonparametric regression methods with spatial components M. Durocher et al. https://doi.org/10.1080/02626667.2019.1620952
- Enhancing regional flood frequency analysis by integrating site-similarity measures with watershed modeling M. Zaghloul et al. https://doi.org/10.1016/j.jhydrol.2024.131754
15 citations as recorded by crossref.
- 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
- Multivariate regional frequency analysis: Two new methods to increase the accuracy of measures A. Abdi et al. https://doi.org/10.1016/j.advwatres.2017.07.006
- A Silhouette-Width-Induced Hierarchical Clustering for Defining Flood Estimation Regions A. Mulaomerović-Šeta et al. https://doi.org/10.3390/hydrology10060126
- A functional framework for flow-duration-curve and daily streamflow estimation at ungauged sites A. Requena et al. https://doi.org/10.1016/j.advwatres.2018.01.019
- Regional Flood Frequency Analysis in the Doce River Basin and Coastal Regions in Espírito Santo State, Brazil – Evaluation of the Performance of L-Moments Approach B. Faria et al. https://doi.org/10.24857/rgsa.v18n3-046
- Rogue and extreme floods in North America P. Whitfield & D. Burn https://doi.org/10.1016/j.jhydrol.2026.135389
- How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset H. Tyralis et al. https://doi.org/10.1016/j.jhydrol.2019.04.070
- Pooled frequency analysis for intensity–duration–frequency curve estimation A. Requena et al. https://doi.org/10.1002/hyp.13456
- Development of a Bayesian-copula-based frequency analysis method for hydrological risk assessment – The Naryn River in Central Asia Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2019.124349
- Investigation on flood event variations at space and time scales in the Huaihe River Basin of China using flood behavior classification Y. Zhang et al. https://doi.org/10.1007/s11442-020-1827-3
- Use of Flood Seasonality in Pooling‐Group Formation and Quantile Estimation: An Application in Great Britain G. Formetta et al. https://doi.org/10.1002/2017WR021623
- Bivariate regional extreme value analysis for significant wave height and wave period E. Vanem https://doi.org/10.1016/j.apor.2020.102266
- Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs M. Brunner et al. https://doi.org/10.1002/2017WR021650
- Estimating flood quantiles at ungauged sites using nonparametric regression methods with spatial components M. Durocher et al. https://doi.org/10.1080/02626667.2019.1620952
- Enhancing regional flood frequency analysis by integrating site-similarity measures with watershed modeling M. Zaghloul et al. https://doi.org/10.1016/j.jhydrol.2024.131754
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
The notion of a measure to quantify the degree of heterogeneity of a region from which information is required to estimate the magnitude of events at ungauged sites is introduced. These heterogeneity measures are needed to compare regions, evaluate the impact of particular sites, and rank the performance of delineating methods. A framework to define and assess their desirable properties is proposed. Several heterogeneity measures are presented and/or developed to be assessed, giving guidelines.
The notion of a measure to quantify the degree of heterogeneity of a region from which...
