Optimizing tree placement for the Phoenix region

Urban centers worldwide face the escalating challenge of urban heat islands (UHIs), which exacerbate public health issues and energy consumption due to increased temperatures. This thesis focuses on the Phoenix metropolitan area, recognized for its high summer temperatures, to explore innovative computational strategies for mitigating urban heat through optimized tree placement. The research integrates high-fidelity microclimate modeling with advanced computational techniques to strategically position trees and enhance urban climate resilience. Utilizing the SOLWEIG and TreePlanter models, this study simulates the effects of tree planting on mean radiant temperature (MRT), crucial for thermal comfort in outdoor spaces. The models process geospatial data, including LiDAR and high-resolution thermal maps, to produce actionable insights for reducing urban temperatures. Results indicate that strategic tree planting significantly lowers MRT, enhancing urban livability and sustainability. This thesis contributes to urban planning by demonstrating how targeted greening interventions can alleviate the heat burden in cities, providing a replicable framework for other urban areas experiencing similar challenges.