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- W5162805 abstract "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." @default.
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- W5162805 date "2008-11-17" @default.
- W5162805 modified "2023-09-26" @default.
- W5162805 title "Developing distributed conceptual hydrological models from geospatial databases" @default.
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