Mapeamento de área suscetível à cheia utilizando modelagem e simulação hidrológica: área a jusante da Sub-Bacia PD14 - Teresina/PI

Abstract

This study aims to map areas susceptible to flooding in the PD14 sub-basin, located in Teresina/PI, through the use of hydrological modeling and simulation using the HEC-HMS software. The PD14 sub-basin is a vulnerable area to floods due to its location and geomorphological characteristics. Hydrological modeling is an essential tool for predicting and mitigating the effects of floods, providing crucial information for urban planning and risk management. HEC-HMS is widely used software for hydrological simulations, allowing detailed representation of hydrological processes in a watershed. In this study, topographic, precipitation, and flow data will be used to validate the hydrological model. Subsequently, simulations will be conducted based on the determination of hydrological premises to establish flood levels, as well as the corresponding flows and peak times. The expected results of this study will significantly contribute to the delineation of risk areas in the PD14 sub-basin, supporting urban planning and management actions aimed at reducing the impacts of floods in Teresina/PI, including the implementation of flood control measures, such as the construction of drainage systems and stormwater retention by public agencies. These measures are essential to protect the population and urban infrastructure against the risks associated with floods, minimizing material losses and possible socioeconomic impacts. The methodological approach adopted in this study involves the integration of geospatial data and hydrological modeling techniques using HEC-HMS software, allowing a detailed analysis of the hydrological dynamics of the PD14 sub-basin. The validation of the model is crucial to ensure the reliability of the results obtained through the methodology used in the hydrological simulations. Moreover, the use of geoprocessing tools will facilitate the visualization and interpretation of the results, enabling the precise identification of risk areas and the creation of thematic maps to support planning and decision-making.