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PROCEEDINGS OF HYDRAULIC ENGINEERING
Article . 1999 . Peer-reviewed
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STUDY OF DISTRIBUTED RUNOFF SIMULATION MODEL BASED ON BLOCK TYPE TOPMODEL AND MUSKINGUM-CUNGE METHOD

Authors: Tianqi AO; Hiroshi ISHIDAIRA; Kuniyoshi TAKEUCHI;

STUDY OF DISTRIBUTED RUNOFF SIMULATION MODEL BASED ON BLOCK TYPE TOPMODEL AND MUSKINGUM-CUNGE METHOD

Abstract

The TOPMODEL is a physically based variable contributing area model of basin hydrology. It has two distinct advantages to be applied in developing areas with little hydrological observations. One is that it has both advantages of lumped model and distributed model, i. e., few parameters to be identified and the capability of simulating the impacts of land use changes and water resource system developments. The other is that the soil topographic index that the model greatly depends on may be easily identified through satellite information. In this paper, a distributed hydrological forecasting model by combining the block-wise application of the TOPMODEL with the Muskingum-Cunge flood routing method is proposed. The model is applied to the daily and hourly runoff simulation for the 3500km2 Fujikawa basin in Japan and to the daily simulation for the 19000 km2 sub-basin of Minjiang catchment in China. The results presented are encouraging to suggest that the proposed model is hopeful to be reasonably applied to large basins with DEM and other GIS oriented data.

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    23
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Average
bronze