URBAN FLOODING AND CLIMATE CHANGE: DEVELOPMENT OF A POTENTIAL FORECASTING MODEL FOR BRAZILIAN CITIES
DOI:
https://doi.org/10.56238/arev7n7-336Keywords:
Urban Planning, Urban Flooding, Flooding, Computational Modeling, Cloud Computing, Google Earth EngineAbstract
Climate change intensifies flooding and urban waterlogging due to increased frequency and intensity of rainfall, affecting urban areas, especially in lowlands. These areas, characterized by low altitude and inadequate infrastructure, suffer material damage and impact on quality of life. Urban planning is crucial, with measures such as drainage systems and green infrastructure to mitigate risks. The research developed a cloud-based application using Google Earth Engine to identify flood-prone areas in Brazilian cities. The model, validated in Sorocaba, São Paulo, achieved 81% global accuracy, aiding decision-making. The tool is freely accessible, supporting city governments in flood risk management.
