Abstract Climate change is a major global challenge with urgent and significant threats to the planet. While national and international efforts address the issue, it’s important to recognize the unique local challenges and opportunities. Recent research emphasizes the need for hyperlocalized analyses to understand climate change’s impacts on ecology, human health, and decarbonization. This study aims to develop a workflow to comprehend the effects of climate change in a particular district for 2030 and 2050, using the territory of Sassuolo (IT) as a reference, and identifying the most vulnerable and resilient areas. The objectives are to analyze temperature changes at a hyperlocal level, understand factors that influence delta temperature, and examine effects on biodiversity, comfort, health, and building energy use. ENVI- met software supported microclimate simulations to obtain hyperlocalized analyses of temperature patterns in five representative areas. The study conducted a delta temperature analysis to understand the factors that influence temperature changes in the district. Parametric and Grasshopper-based workflows highlighted temperature variations’ effects on ecological factors, human comfort, and health, and building energy consumption. Ultimately, this study contributes to comprehending the effects of climate change at a hyperlocal level, aiding targeted interventions to mitigate and adapt to its effects. Identifying the most vulnerable and resilient areas helps develop effective policies and strategies for sustainable development. Results can inform global efforts to address climate change impacts in regions facing similar challenges.

Simulating Localized Delta Temperatures: A Methodology Workflow for Addressing the Hyperlocal Impacts of Climate Change / Naboni, Emanuele; Turrini, Marcello; Gherri, Barbara. - ELETTRONICO. - 1:(2024), pp. 441-456. [10.1007/978-981-99-8501-2]

Simulating Localized Delta Temperatures: A Methodology Workflow for Addressing the Hyperlocal Impacts of Climate Change

Emanuele Naboni
Methodology
;
Marcello Turrini
Formal Analysis
;
Barbara Gherri
Investigation
2024-01-01

Abstract

Abstract Climate change is a major global challenge with urgent and significant threats to the planet. While national and international efforts address the issue, it’s important to recognize the unique local challenges and opportunities. Recent research emphasizes the need for hyperlocalized analyses to understand climate change’s impacts on ecology, human health, and decarbonization. This study aims to develop a workflow to comprehend the effects of climate change in a particular district for 2030 and 2050, using the territory of Sassuolo (IT) as a reference, and identifying the most vulnerable and resilient areas. The objectives are to analyze temperature changes at a hyperlocal level, understand factors that influence delta temperature, and examine effects on biodiversity, comfort, health, and building energy use. ENVI- met software supported microclimate simulations to obtain hyperlocalized analyses of temperature patterns in five representative areas. The study conducted a delta temperature analysis to understand the factors that influence temperature changes in the district. Parametric and Grasshopper-based workflows highlighted temperature variations’ effects on ecological factors, human comfort, and health, and building energy consumption. Ultimately, this study contributes to comprehending the effects of climate change at a hyperlocal level, aiding targeted interventions to mitigate and adapt to its effects. Identifying the most vulnerable and resilient areas helps develop effective policies and strategies for sustainable development. Results can inform global efforts to address climate change impacts in regions facing similar challenges.
2024
9789819985005
9789819985012
Simulating Localized Delta Temperatures: A Methodology Workflow for Addressing the Hyperlocal Impacts of Climate Change / Naboni, Emanuele; Turrini, Marcello; Gherri, Barbara. - ELETTRONICO. - 1:(2024), pp. 441-456. [10.1007/978-981-99-8501-2]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2974433
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