Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression

Durocher, Martin; Chebana, Fateh; Ouarda, Taha B. M. J.

doi:https://doi.org/10.5194/hess-20-4717-2016

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.

https://doi.org/10.5194/hess-20-4717-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 12

Research article

|

29 Nov 2016

Research article |

| 29 Nov 2016

Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression

Martin Durocher, Fateh Chebana, and Taha B. M. J. Ouarda

Data sets

Hydrological data Environment Ministry of the Province of Quebec http://www.mddelcc.gouv.qc.ca/

Raw meteorological data Environment Canada http://climate.weather.gc.ca/

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.