CARTOGRAPHY OF SEVERE AND EXTREME METEOROLOGICAL-OCEANOGRAPHIC EVENTS ON THE COAST OF SÃO PAULO SINCE 2000

• Grant number: 24/22104-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: February 01, 2025
• End date: December 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Physical Geography
• Principal Investigator: Celia Regina de Gouveia Souza
• Grantee: Andressa Varella Teixeira da Silva
• Host Institution: Instituto de Pesquisas Ambientais (IPA). Secretaria de Meio Ambiente, Infraestrutura e Logística (São Paulo - Estado). São Paulo , SP, Brazil

Abstract

Climate change is exposing more than 60% of the Brazilian population, who live in coastal areas, to the risk of socio-environmental disasters caused by severe storms. These storms, intensified by rising sea levels, have exacerbated the risks of coastal erosion, coastal flooding, urban flooding, and mass movements in coastal cities. Therefore, studying the effects of severe and extreme meteorological-oceanographic events is of great importance for understanding the historical behavior of these events and reducing disasters and their impacts on the coast. Studies have shown that, comparing the historical series from 1928 to 1999 with the first two decades of this century, these events have increased in frequency (67% of the events occurred this century), intensity (73% of extreme events occurred this century), and magnitude. Given this scenario, the objective of this project is to map the hazards associated with and the impacts caused by extreme events that have occurred along the São Paulo coast since 2000, using the database developed at the IPA-SEMIL/SP's Geosciences, Risk Management, and Environmental Monitoring Center. The methodology includes using the free software QGIS to create various maps with spatial and temporal information on the typologies of selected events, hazards, and physical and socio-economic impacts on beaches, oceanfront areas, and coastal plains in São Paulo. Statistical analyses using the free software R will provide an integrated and dynamic view of these geospatial data. The impacts will be classified according to typologies or sets of typologies. The results will be incorporated into the SARIC Platform (Early Warning System for Coastal Flooding and Erosion for São Paulo) and may be used in Municipal Contingency Plans to support actions for risk and disaster prevent