Gêmeos digitais e a gestão de riscos de inundações urbanas em Salvador: estudo de caso em bacia de detenção

Abstract

Flood events have been recurrent, especially in large cities, due to the inefficiency of hydraulic systems, primarily due to disorderly land occupation associated with urban sprawl. The damages can be immeasurable, particularly for vulnerable populations living in regions adjacent to rivers and channels. In this regard, the present study aims to investigate the efficiency of a microdrainage system integrated with a pond that serves as a water buffering and detention basin in a specific neighborhood in the city of Salvador. To achieve this goal, the response of this detention basin was investigated as a mitigating measure using software for modeling and computational simulation, particularly digital twin-based platforms for predicting critical rainfall events. The results demonstrate that the basin functions to attenuate the peak of maximum flow and receives contributions from various sections of the network. Additionally, it was observed that for critical precipitation above 10 mm, the drainage system becomes overloaded, especially in the mainholes closest to the pond. The predictability of events, provided by the SEWERSIGHT platform, proved to be an important tool for integrating field actions and corrective measures to prevent flood scenarios. Therefore, it can be concluded that the integration of computational models with digital twins allows for significant improvements in decision-making by government agencies, ensuring protection, maintenance, and safety for areas affected by rainfall in Salvador.