Assessment of the effects of DEM gridding on the predictions of basin runoff using MIKE SHE and a modelling resolution of 600m

Assessment of Different Modelling Studies on the Spatial Hydrological Processes in an Arid Alpine Catchment

“…Four statistical coefficients were used to determine the model performances: Nash-Sutcliffe efficiency coefficient (Nush and Sutcliffe 1970) NSE, Pearson correlation coefficient R, root-mean-square error RMSE and percentage bias PBIAS. Their formulations are written as: The criteria of discharge calibration are not the overall referential measurements to evaluate the accuracy of hydrologic model application (Vázquez and Feyen 2007), but response of a model to natural hydrologic process can be analysed through the variation Fig. 2 The observed and simulated daily discharges at Kaqun station of different hydrological elements.…”

Uncertainty assessment of integrated distributed hydrological models using GLUE with Markov chain Monte Carlo sampling

“…a multi-site validation. Moreover, if the model is used with different discretization scales, the dependency of the processes on the modelling scale should also be tested (Vazquez et al, 2002;Vazquez and Feyen, 2007). Data requirements can be an obstacle for a proper validation, since, even if distributed measurements are usually available to physically characterize the catchment, spatially-distributed time series of observations of all the variables of interest are rare.…”

Nitrogen and phosphorus transformations and balance in a pond-ditch circulation system for rural polluted water treatment

“…The influences of different grid sizes on simulation were analyzed in the Grote and the Kleine Gete basins, with results showing that within a certain range of grid size, simulation performances varied insignificantly, but beyond this size range, simulation results deteriorated significantly (Vázquez et al, 2002). In addition, the influences of different DEM (Digital Elevation Model) gridding methods on simulation were assessed using a grid size of 600 m (Vázquez and Feyen, 2007). Moreover, the superior capability of good spatial heterogeneity expression made it feasible to change spatial physical parameters according to realistic landscape changes in catchments, such as in the study of runoff response of semi-arid scrub region landscape changes caused by fire in California (McMichael and Hope, 2007).…”