Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4717-2016
© Author(s) 2016. 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-20-4717-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Nov 2016
Research article |
| 29 Nov 2016
Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression
Université du Québec à Trois-Rivières, University of
Québec, 3351, Blvd. des Forges, C.P. 500, Trois-Rivières, G9A 5H7, Canada
Fateh Chebana
Institut National de Recherche Scientifique (INRS-ETE), University of
Québec, 490 de la Couronne, Québec, G1K 9A9, Canada
Taha B. M. J. Ouarda
Institut National de Recherche Scientifique (INRS-ETE), University of
Québec, 490 de la Couronne, Québec, G1K 9A9, Canada
Institute Center for Water Advanced Technology and Environmental
Research (iWater), Masdar Institue of Science and Technology, P.O. Box 54224, Abu Dhabi, UAE
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Cited
17 citations as recorded by crossref.
- Modeling the spatial dependence of floods using the Fisher copula M. Brunner et al. 10.5194/hess-23-107-2019
- Dimensionality reduction for regional flood frequency analysis: Linear versus nonlinear methods K. Haddad & A. Rahman 10.1002/hyp.14864
- Constrained groupwise additive index models P. Masselot et al. 10.1093/biostatistics/kxac023
- Searching for homogeneous regions in regional flood frequency analysis for Southeast Australia A. Ahmed et al. 10.1016/j.ejrh.2024.101782
- Does green finance investment and technological innovation improve renewable energy efficiency and sustainable development goals L. Zhang et al. 10.1016/j.renene.2022.04.161
- Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches T. Ouarda et al. 10.1016/j.envsoft.2018.08.031
- Regional frequency analysis of stream temperature at ungauged sites using non-linear canonical correlation analysis and generalized additive models Z. Souaissi et al. 10.1016/j.envsoft.2023.105682
- Regional flood frequency analysis: evaluation of regions in cluster space using support vector regression K. Haddad & A. Rahman 10.1007/s11069-020-03935-8
- Flow signatures and catchment’s attributes for HCA clustering in a hydrologic similarity assessment (Tunisian case) R. Chérif & E. Gargouri-Ellouze 10.1038/s41598-023-38608-6
- Evaluation and Prediction on the Hydraulic Abrasion Performance of High Belite Cement-Based Concrete C. Jiang et al. 10.1007/s12205-021-1826-7
- A nationwide regional flood frequency analysis at ungauged sites using ROI/GLS with copulas and super regions M. Durocher et al. 10.1016/j.jhydrol.2018.10.011
- Characterization and classification of river networks in South Korea K. Jung et al. 10.1016/j.envsoft.2022.105495
- Monthly Pork Price Prediction Applying Projection Pursuit Regression: Modeling, Empirical Research, Comparison, and Sustainability Implications X. Yu et al. 10.3390/su16041466
- Partitioning around medoids approach application for computation of regional flood and landslide quantiles G. Shiyamalagowri et al. 10.1051/e3sconf/202015702001
- Evaluation of regional flood quantiles at ungauged sites by employing nonlinearity-based clustering approaches S. Gnanaprakkasam & G. Ganapathy 10.1007/s11356-019-05473-8
- Evaluation and prediction on abrasion resistance of hydraulic concrete after exposure to different freeze-thaw cycles X. Zhu et al. 10.1016/j.conbuildmat.2021.126055
- Short-term forecasting of spring freshet peak flow with the Generalized Additive model V. Dubos et al. 10.1016/j.jhydrol.2022.128089
17 citations as recorded by crossref.
- Modeling the spatial dependence of floods using the Fisher copula M. Brunner et al. 10.5194/hess-23-107-2019
- Dimensionality reduction for regional flood frequency analysis: Linear versus nonlinear methods K. Haddad & A. Rahman 10.1002/hyp.14864
- Constrained groupwise additive index models P. Masselot et al. 10.1093/biostatistics/kxac023
- Searching for homogeneous regions in regional flood frequency analysis for Southeast Australia A. Ahmed et al. 10.1016/j.ejrh.2024.101782
- Does green finance investment and technological innovation improve renewable energy efficiency and sustainable development goals L. Zhang et al. 10.1016/j.renene.2022.04.161
- Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches T. Ouarda et al. 10.1016/j.envsoft.2018.08.031
- Regional frequency analysis of stream temperature at ungauged sites using non-linear canonical correlation analysis and generalized additive models Z. Souaissi et al. 10.1016/j.envsoft.2023.105682
- Regional flood frequency analysis: evaluation of regions in cluster space using support vector regression K. Haddad & A. Rahman 10.1007/s11069-020-03935-8
- Flow signatures and catchment’s attributes for HCA clustering in a hydrologic similarity assessment (Tunisian case) R. Chérif & E. Gargouri-Ellouze 10.1038/s41598-023-38608-6
- Evaluation and Prediction on the Hydraulic Abrasion Performance of High Belite Cement-Based Concrete C. Jiang et al. 10.1007/s12205-021-1826-7
- A nationwide regional flood frequency analysis at ungauged sites using ROI/GLS with copulas and super regions M. Durocher et al. 10.1016/j.jhydrol.2018.10.011
- Characterization and classification of river networks in South Korea K. Jung et al. 10.1016/j.envsoft.2022.105495
- Monthly Pork Price Prediction Applying Projection Pursuit Regression: Modeling, Empirical Research, Comparison, and Sustainability Implications X. Yu et al. 10.3390/su16041466
- Partitioning around medoids approach application for computation of regional flood and landslide quantiles G. Shiyamalagowri et al. 10.1051/e3sconf/202015702001
- Evaluation of regional flood quantiles at ungauged sites by employing nonlinearity-based clustering approaches S. Gnanaprakkasam & G. Ganapathy 10.1007/s11356-019-05473-8
- Evaluation and prediction on abrasion resistance of hydraulic concrete after exposure to different freeze-thaw cycles X. Zhu et al. 10.1016/j.conbuildmat.2021.126055
- Short-term forecasting of spring freshet peak flow with the Generalized Additive model V. Dubos et al. 10.1016/j.jhydrol.2022.128089
Latest update: 22 Apr 2024
Short summary
For regional flood frequency, it is challenging to identify regions with similar hydrological properties. Therefore, previous works have mainly proposed to use regions with similar physiographical properties. This research proposes instead to nonlinearly predict the desired hydrological properties before using them for delineation. The presented method is applied to a case study in Québec, Canada, and leads to hydrologically relevant regions, while enhancing predictions made inside them.
For regional flood frequency, it is challenging to identify regions with similar hydrological...
