Simulating Land Surface Temperature Impacts of Proposed Land Use and Land Cover Plans Using an Integrated Deep Neural Network Approach

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115437 - 115437

Published: Feb. 1, 2025

Language: Английский

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Leveraging urban AI for high-resolution urban heat mapping: Towards climate resilient cities

Environment and Planning B Urban Analytics and City Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Urban heat island (UHI) effects are increasingly recognised as a significant challenge arising from urbanisation, leading to elevated temperatures within urban areas that pose risks public health and undermine the sustainability of cities. Effective UHI management requires high-resolution timely mapping temperature patterns guide interventions. Traditional methods for often lack spatial accuracy efficiency necessary detailed analysis, especially in complex environments. This study integrates artificial intelligence (Urban AI) by presenting U-Net model tailored metropolitan area Adelaide, South Australia. Trained on thermal data Australian Government Data Directory, captures pixel-level variations across diverse landscapes, including densely built areas, suburban zones, green spaces. Achieving low Mean Squared Error (MSE) 0.0029 processing each map less than 30 seconds, demonstrates exceptional computational efficiency. The model, an AI agent, offers scalable tool supporting real-time assessments facilitating targeted mitigation efforts. By bridging gap between advanced geospatial modelling practical planning, it enables data-driven decisions enhance climate resilience, optimise infrastructure, improve rapidly urbanising regions. approach highlights transformative potential addressing challenges, delivering precise actionable insights support sustainable climate-adaptive

Language: Английский

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Assessing and optimizing cooling intensity of UGS via improved metrics: A study based on machine learning simulation model

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112959 - 112959

Published: April 1, 2025

Language: Английский

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