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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.
First, seven levels of rain gauge density are defined.
Surprisingly, model performance was not sensitive to aquifer fraction or rain gauge density.
Overall, decrease in gauge density leads to increased underestimation and increased estimation variance of debris flow triggering rainfall.
Secondly, the influence of different rain gauge density and distribution on the model performance was rigorously evaluated.
Dissension occurred amongst traditional global statistical measures of performance which were compounded by extremes of gauge density.
Similar(50)
Radar rainfall fields are sampled by simulated rain gauge networks, stochastically generated with varying rain gauge densities.
To perform the study, firstly, the mean areal rainfall estimated by different rain gauge densities using various statistical indices as evaluation criteria was analysed.
Before Sherlock Holmes, there was Archimedes, who was said to have proved that a crown was not pure gold by submerging it in water to gauge its density.
In particular, the effects of step gauge material density and orientation were investigated.
Some studies in the past have suggested increasing gauge network density for reducing the estimation error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com