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To this end, the performances of a lumped hydrological model, the Xinanjiang model, in a densely gauged river basin, the Xiangjiang River basin, and its sub-basins under different gauge density and distribution are compared.
Secondly, the influence of different rain gauge density and distribution on the model performance was rigorously evaluated.
The influence of the precipitation gauge density and network distribution on the modelling results is still a challenging topic in hydrology studies.
In this study, the impacts of rain gauge density and distribution on lumped hydrological modelling uncertainty with different catchment sizes are analysed.
In this study, a famous and widely used hydrological model, the Xinanjiang Model, was applied in Xiangjiang River basin to examine the influence of rain gauge density and distribution on the performance of the model in simulating the stream flow.
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Overall, decrease in gauge density leads to increased underestimation and increased estimation variance of debris flow triggering rainfall.
First, seven levels of rain gauge density are defined.
Surprisingly, model performance was not sensitive to aquifer fraction or rain gauge density.
Dissension occurred amongst traditional global statistical measures of performance which were compounded by extremes of gauge density.
Rain gauge density over the forecast basins was one of the main determinants of forecast accuracy during an extreme event that resulted in significant flooding in a major metropolitan area.
In particular, the effects of step gauge material density and orientation were investigated.
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