Applying the Sacramento model for hydrological forecasting in selected watersheds of Paraná state

Código

XXVI-SBRH0287

Autores

Alexandre Sokoloski de Azevedo Delduque de Macedo, Maria Fernanda Dames dos Santos Lima, Danieli Mara Ferreira, Maria Clara Pontello, José Eduardo Gonçalves

Tema

STE151 - Previsão Hidrológica

Resumo

In recent decades, hydrological extreme events have become increasingly frequent and intense across various regions of the globe, including Brazil. In the State of Paraná, this trend has raised concerns about public safety, infrastructure resilience, and water resource management. This study presents the implementation of a hydrological forecasting system based on the conceptual Sacramento ? Soil Moisture Accounting (SAC-SMA) model, focusing on streamflow prediction in predefined monitoring areas. The system was developed to operate across multiple watersheds in Paraná, integrating meteorological and hydrological data to generate water level forecasts. Input data, preprocessing steps, model parameters, and spatial interpolation methods are thoroughly described. The SAC-SMA model, with its conceptual-deterministic approach and water storage zone structure, allows a relatively simplified representation of physical runoff processes. Results indicate that the model shows potential for rainfall-runoff simulation in some watersheds, although with variable performance. Limitations include data scarcity and uneven rain gauge distribution. Nevertheless, the system proves promising as a support tool for water resource management and hydrological risk reduction.