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• W115136989 abstract "This research shows an analysis of the effect of spatial scale on two effective parameters of the hydrological model called TETIS: static storage capacity ( h ) and saturated hydraulic conductivity ( k ). Latin hypercube sample (LHS) was carried out to generate random fields for each parameter in microscale (E1). The spatial dependence was produced by applying Cholesky decomposition to those random fields, with an exponential model for spatial correlation. Was carried out an analysis of how parameter uncertainty in microscale (E1) affects uncertainty of effective parameters (E2), the variance was used as evaluation measure. To determine how parameter uncertainty is influenced by grid size and integral scale, To determine the influence of integral scale and grid size on parameter uncertainty, several simulations was implemented for three grid sizes ( 2 10 10; 30 30; 90 90    m ) and eighteen correlation lengths. To express the relationship of parameters within scales (E1 and E2) were proposed two deterministic models of aggregation. Finally, performance of models was evaluated by Nash-Sutcliffe efficiency index (NSE) and root mean square error (RMSE), for 2500 simulations in three storm scenarios (extreme storm and two ordinary storms). Results show that grid size is a main factor in the process of transferring uncertainty from microscale to grid scale (macroscale), especially when exist a high integral scale. Grid size of 2 90 90m  shows a significant reduction of variance of estimation when upscaling (order of 70 to 90%), while smaller grid sizes have a less reduction of variance of estimation (order of 10 to 25% with integral scale of 100 meters). The upscaling equations presented in this thesis are good estimators for the effective parameters h and k in the case of extreme storms. But, its reliability is reduced with small storms. However, is attractive that those mathematical structures represent properly the performance of ef h and ef k for a huge family of possible cases." @default.
• W115136989 created "2016-06-24" @default.
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• W115136989 date "2011-11-08" @default.
• W115136989 modified "2023-09-27" @default.
• W115136989 title "Análisis de escalabilidad espacial para un modelo conceptual de producción de escorrentía" @default.
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