Analysis of trade-offs in urban heat mitigation using a Bayesian Optimization framework for an urban canopy layer model

This arXiv paper presents a Bayesian optimization and surrogate modeling framework to explore urban parameter ranges for heat mitigation strategies. The study focuses on three key thermal metrics: daytime air temperature, Universal Thermal Climate Index (UTCI), and nighttime air temperature. The research addresses climate change adaptation in urban areas by identifying optimal trade-offs among competing thermal objectives in the urban canopy layer model.