Stream flow quantile regression modeling using land use information in Sperchios river basin (Central Greece) (original) (raw)

Estimation of flow in river basins is frequently required in hydrological practice and is of great economic significance. This study uses streamflow and catchment characteristics data, including land use information, from three catchments in Sperchios river basin (Central Greece) and applies the quantile regression modeling. From 100% of the observations, a 20% was selected randomly and used for independent testing of the quantile regression. The test observations and the observations used for the model development were found to have similar characteristics. It has been found that the quantile regression method in general provides accurate flow estimates; however, the users of these techniques should have in mind that there is a chance of large errors in particular conditions and provision should be made accordingly.

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