Regional flood hydrology in a semi-arid catchment using a GLS regression model

Luis Mediero, Thomas R. Kjeldsen

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
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Abstract

The regional flood frequency hydrology of the 86,000 km2 and semi-arid Ebro catchment is investigated using an extended generalised least square model that includes separate descriptions for sampling errors and model errors. The Ebro catchment is characterised by large hydro-climatic heterogeneities among sub-regions. However, differences in flood processes among sites are better explained by a set of new catchment descriptors introduced into hydrological regression models, such as new characteristics derived from the slope of flow duration curves, the ratio of mean annual precipitation to extreme precipitations and the aridity index. These additions enabled a more direct link to be established between the general flow regime and the extreme flood characteristics through-out the entire catchment. The new regression models developed in this study were compared to a set of existing models recommended for flood frequency estimation in Spain. It was found that the generalised least squares model developed in this study improves the existing ordinary least squares models both at regional and trans-regional scales. An adequate description of flood processes is obtained and, as a direct consequence, more reliable flood predictions in ungauged catchments are achieved.
Original languageEnglish
Pages (from-to)158-171
Number of pages14
JournalJournal of Hydrology
Volume514
Early online date16 Apr 2014
DOIs
Publication statusPublished - 6 Jun 2014

Keywords

  • Regional flood hydrology
  • GLS regression model
  • Ebro catchment
  • Catchment descriptors
  • Prediction in ungauged basins

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