A anisotropia do solo introduz considerável incerteza devido a fatores como processos de formação do solo, práticas de manejo e variabilidade espacial. Essa heterogeneidade apresenta desafios na determinação precisa dos valores de anisotropia para modelag

Abstract

The anisotropy of soil introduces considerable uncertainty due to factors like soil formation processes, management practices, and spatial variability. This heterogeneity poses challenges in accurately determining anisotropy values for watersheds modeling, often necessitating a trial-and-error approach. This study investigates the effects of anisotropic hydraulic conductivity on streamflow dynamics using the MOHID-Land model, with a focus on achieving efficient soil calibration and enhancing streamflow predictions in a representative Atlantic Forest watershed. By simulating different anisotropy ratio values, the study analyzes hydrograph characteristics through the Nash-Sutcliffe Efficiency (NSE) metric. Results indicate that increasing anisotropy ratio flattens the hydrograph, dampening flow peaks while elevating base flow. This non-linear relationship reaches an improved point before declining, suggesting the existence of a watershed-specific anisotropy value that maximizes predictive accuracy.