Uso das geotecnologias para geração de dados para estudos de riscos de inundação

Abstract

The management of the Itapecuru River in Maranhão, Brazil, is crucial for urban development but faces challenges, particularly regarding flooding during intense rainfall. Technologies such as Geographic Information Systems (GIS) and drones are essential for identifying and mapping risk areas, enabling data generation for flood alert systems and prediction. Unplanned occupation of floodplains has caused severe damage during these events, emphasizing the urgent need for preventive measures. Therefore, the aim of this study is to present methodologies for generating a geospatial database integrating relevant information about flood-prone areas. Data analysis reveals the presence of 1887 buildings within the historical risk area. Moreover, there has been an increase in affected buildings in the 39 to 40- meter class, with 1249 buildings impacted. These data underscore the urgency of interventions to ensure the safety of vulnerable populations. Thus, integrating geospatial data and risk analysis is crucial for developing effective strategies for disaster prevention and mitigation, aiming to protect communities and reduce the impacts caused by extreme events such as floods.