Mudanças climáticas e resiliência urbana: estratégias sustentáveis em cidades brasileiras

• Autor(a) principal: Costa, Carlos Rafael Röhrig da
• Data de Publicação: 2023
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Manancial - Repositório Digital da UFSM
• Texto Completo: http://repositorio.ufsm.br/handle/1/30797
• topic: Mudanças climáticas; Resiliência urbana; Estratégias de adaptação e mitigação; Desenvolvimento urbano sustentável; Climate change; Urban resilience; Adaptation and mitigation strategies; Sustainable urban development; CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO

The planet has undergone drastic changes caused directly or indirectly by man. Physically, climate change is the main one; socially, the major transformation is the urbanization of humanity. The majority of the world's population lives in urban environments and this percentage is increasing every year. With increasing global urbanization in the coming decades, cities are likely to become responsible for an evergreater share of global greenhouse gas (GHG) emissions. In view of the problems caused in urban environments by the impacts of climate change, it is necessary to look for strategies to mitigate and adapt to these impacts in the urban planning process, aiming for greater urban resilience. In view of this, this study aimed to analyze the impacts of climate change on Brazilian urban environments, identifying the main management strategies that can help adapt to these impacts and mitigate their effects. The first phase of the research, characterized as qualitative, was based on a multiple case study of Brazilian capital cities. The results of this phase made it possible to identify aspects related to the perception of the impacts of climate change on urban environments, as well as the adaptation and mitigation strategies adopted by cities. The second stage of the study, characterized as quantitative, included a survey of cities with more than 100,000 inhabitants. The results of this second phase showed that, for the sample analyzed, no associations were identified between the dimensions of analysis. In addition, it was found that regional features, such as size and region, influence the dimensions of analysis, given that differences in averages were identified in some dimensions.