URBAN FLOODING AND CLIMATE CHANGE: DEVELOPMENT OF A POTENTIAL FORECASTING MODEL FOR BRAZILIAN CITIES

Authors

  • Marcos Roberto Martines Author
  • Fernando Shinji Kawakubo Author
  • Rogério Hartung Toppa Author
  • Júlio Cesar Pedrassoli Author
  • Eduardo Felix Justiniano Author
  • Marcel Fantin Author
  • Marina Pannunzio Ribeiro Author
  • Rúbia Gomes Morato Author

DOI:

https://doi.org/10.56238/arev7n7-336

Keywords:

Urban Planning, Urban Flooding, Flooding, Computational Modeling, Cloud Computing, Google Earth Engine

Abstract

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.

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Published

2025-07-29

Issue

Section

Articles

How to Cite

MARTINES, Marcos Roberto; KAWAKUBO, Fernando Shinji; TOPPA, Rogério Hartung; PEDRASSOLI, Júlio Cesar; JUSTINIANO, Eduardo Felix; FANTIN, Marcel; RIBEIRO, Marina Pannunzio; MORATO, Rúbia Gomes. URBAN FLOODING AND CLIMATE CHANGE: DEVELOPMENT OF A POTENTIAL FORECASTING MODEL FOR BRAZILIAN CITIES. ARACÊ , [S. l.], v. 7, n. 7, p. 40969–40981, 2025. DOI: 10.56238/arev7n7-336. Disponível em: https://periodicos.newsciencepubl.com/arace/article/view/6928. Acesso em: 5 dec. 2025.