Regionalization of dynamic watershed response behaviour

Maitreya Yadav, Thorsten Wagener, Hoshin Gupta

Research output: Contribution to journalArticle

Abstract

Approaches to ungauged basin modelling typically use observable physical characteristics of watersheds (e.g. soil data) to directly infer hydrological model parameters, or they use regionalization methods based on parsimonious hydrological models. A different approach to streamflow prediction in ungauged basins is presented here where, instead of model parameters, the model independent hydrological response behaviour is estimated in the form of streamflow indices, and then regionalized with respect to physical characteristics of watersheds. Therefore, the approach uses a data driven regionalization method (under uncertainty) rather than the common hydrological model driven regionalization method. Ensemble predictions in ungauged basins can then be constrained by limits on acceptable hydrological model behaviour. This study utilizes data from 30 watersheds in the UK. Initial results show that the predictive uncertainty of the model can be reduced considerably through this new approach.

Original languageEnglish (US)
Pages (from-to)220-229
Number of pages10
JournalIAHS-AISH Publication
Issue number307
StatePublished - Dec 22 2006

Keywords

  • Ensemble predictions
  • Hydrograph indices
  • Prediction in ungauged basins
  • Predictive uncertainty
  • Regionalization
  • Streamflow characteristics
  • Watershed response

ASJC Scopus subject areas

  • Water Science and Technology
  • Oceanography

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