NATURAL RISKS ASSOCIATED WITH EVENTS OF A HYDROMETEOROLOGICAL NATURE AND SOCIAL VULNERABILITY ON THE COAST OF PAULISTA (BRAZIL) AND BEIRENSE (MOZAMBIQUE) FROM A PARTICIPATORY ENVIRONMENTAL GOVERNANCE APPROACH.

• Grant number: 23/15379-7
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: May 01, 2024
• End date: April 30, 2026
• Field of knowledge: Humanities - Geography - Human Geography
• Principal Investigator: Raul Reis Amorim
• Grantee: Lucrêncio Silvestre Macarringue
• Host Institution: Instituto de Geociências (IG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

The coast of São Paulo in Brazil and Beira in Mozambique are areas prone to extreme hydrometeorological events. Throughout history, there are several records of these events with particular attention to floods associated with landslides (Brazil) and cyclones (Mozambique). Several losses have already been added, including material and human losses, accentuating the social vulnerability of communities residing in these areas. In Mozambique, it is currently estimated that around 1,172,297 people are at risk of being affected by strong winds, drought and floods in cities and towns and in Brazil, between 1991 and 2020, 7,865,416 homeless and displaced people were recorded, 4,307 deaths and more than 3 million homes destroyed or damaged, with losses of around an average of R$18.26 billion per year due to material damage. This project aims to assess the social vulnerability of the communities of Beira (municipality of Beira) and Paulista (municipality of São Sebastião) in the face of natural hazards arising from these extreme events and their associations (cyclones, floods and landslides) through an environmental governance approach. participatory. Different methods, techniques and methodological procedures will be used in an associative and complementary way involving geoprocessing, participatory environmental mapping, documentary and bibliographic research, direct observation and interviews. As results, we hope to build a methodology to access the social vulnerability of the two regions, inventory flood episodes, generate risk and social vulnerability maps and create a webGIS with geospatial information on social vulnerability and natural risks.