Developing distributed conceptual hydrological models from geospatial databases

Yuqiong Liu, Matej Durcik, Hoshin V. Gupta, Thorsten Wagener

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Interest in the development and use of spatially-distributed hydrological models has increased considerably in recent years. However, the application of a model in distributed fashion significantly increases the number of model parameters that need to be estimated, and presents a serious challenge for model identification. In this paper we propose a general framework for developing a distributed conceptual hydrological model from geospatial databases based on hydrological similarity and landscape classification. The framework is applied to spatially-distributed modelling of the upper Rio Grande River basin in the southwestern USA. Preliminary results are encouraging and indicate that the proposed framework holds promise for making improved predictions in ungauged basins, while being computationally inexpensive.

Original languageEnglish (US)
Title of host publicationIAHS-AISH - Groundwater-Surface Water Interaction
Subtitle of host publicationProcess Understanding, Conceptualization and Modelling
Number of pages9
StatePublished - 2008
EventGroundwater-Surface Water Interaction: Process Understanding, Conceptualization and Modelling - Perugia, Italy
Duration: Jul 11 2007Jul 13 2007

Publication series

NameIAHS-AISH Publication


OtherGroundwater-Surface Water Interaction: Process Understanding, Conceptualization and Modelling


  • Distributed modelling
  • GIS
  • Geospatial databases
  • Landscape classification
  • Model identification
  • Parameter estimation

ASJC Scopus subject areas

  • General Earth and Planetary Sciences


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