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While the work of waste pickers advances urban sustainability, there has been little focus on how climate change impacts affect them. This paper reports on a pilot study with 61 waste pickers in Minas Gerais, Brazil to understand their perspectives on climate change impacts and actions. It explores how waste pickers experience climate change impacts at home and at work, their adaptive strategies and the specific actions and actors needed to address these impacts. Waste pickers have practical knowledge and experience of climate events. But due to precarious employment and lack of access to services, infrastructure and social support, their responses are improvised and inefficient. They require better institutional support and their proposals must be incorporated into a negotiated approach to urban resilience. Proposals such as the climate bonus – similar to the existing recycling bonus – may help address the structural drivers of vulnerability for waste pickers in Minas Gerais. [ABSTRACT FROM AUTHOR]

This paper interrogates the extent to which imaginaries of climate and ecological breakdown attend to the memories, knowledges, and experiences of communities already impacted by histories of racism, colonialism, and poverty. Drawing on insights from Black studies and decolonial thinking, the article reflects on how the causes and effects of anthropogenic climate change can be mapped onto geographies of racialised violence and social dispossession. Specific emphasis is given to Rio de Janeiro, notably its port area, a geographical space where future-oriented narratives remain oblivious to the city's history of anti-Black violence and Indigenous genocide. In parallel, the paper looks at the recently built Museum of Tomorrow and its public representations of the Anthropocene. Overall, the article contends that pluralising accounts of the Anthropocene might offer alternative epistemic entry points for understanding and interrupting the mounting ecological catastrophe. [ABSTRACT FROM AUTHOR]

Due to climate change conditions, natural ventilation potential may reduce over the years and increase dependence on HVAC systems. Moreover, occupants' behaviour regarding natural ventilation is a significant parameter affecting the thermal-energy performance of residential buildings as people tend to occupy their homes differently depending on their life, work and cultural routines. Therefore, in this study, the thermal-energy performance of a Global South (GS) housing case study located in Brazil was assessed in a future weather context. This paper included two major steps: (1) Optimization procedure to create optimized models based on different occupancy patterns; and (2) Parametric analysis to explore the building's thermal-energy performance for a given constructive design option, occupant behaviour and weather data. The optimization procedure included a multi-objective optimization based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to minimize discomfort hours and cooling energy demand, while parametric analysis explored the occupants' behaviour varieties derived from alternative occupancy patterns, ventilation availabilities and HVAC operation modes. The obtained future context simulation results indicated an increase in discomfort hours and cooling energy demand, while the most appropriate architecture design might vary depending on the occupancy behaviour. [ABSTRACT FROM AUTHOR]

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The social housing sector is playing an important role in Brazil, due to the necessity of its expansion. Currently, many residential projects perform poorly in terms of energy efficiency and thermal comfort. In addition, the impact of climate change on energy consumption may aggravate the energy scenario, increasing the dependence on the heating, ventilation and air conditioning system. In parallel to this, there is a growing adoption of the Structural Concrete Insulated Panels (SCIP) and insulated concrete form (ICF) in the Brazilian construction industry, due to their advantages in reducing construction time, and cost. Therefore, this study provides a discussion on thermal-energy performance focusing on parametric analysis of the SCIP and ICF wall systems adoption for social housing in Brazil. Due to the fact that building performance is heavily affected by weather conditions, this study evaluated the computer simulation of the thermal-energy performance of SCIP and ICF wall systems for hot climates while addressing the impacts of climate change. The city of Rio de Janeiro, characterized by the tropical climate was selected, and the Climate Change World Weather File Generator (CCWorldWeatherGen) tool was used to produce weather data for future climate scenarios, such as 2020, 2050 and 2080. [ABSTRACT FROM AUTHOR]