This established model is applied here to show the relative effects of four common mitigation strategies: increasing the overall (1) emissivity, (2) percentage of vegetated area, (3) thermal conductivity, and (4) albedo of the urban environment in a series of percentage increases by 5, 10, 15, and 20% from baseline values.
Integrating geographic information systems, remote sensing, spatial statistics and spatial optimization, we developed a framework to identify the best locations and configuration of new green space with respect to cooling benefits.
In this study, numerical models featuring a realistic representation of building-environment thermal interactions, were applied to quantify the effect of pavements on the urban thermal environment at multiple scales.
We predicted air and surface temperatures under two different vegetation regimes: existing conditions representative of Phoenix urban core neighborhoods, and a proposed scenario informed by principles of landscape design and architecture and Urban Heat Island mitigation strategies.
This archives houses peer-reviewed literature, data sets, reports, and other materials generated by ASU researchers that may be informative for local and regional efforts mitigating the adverse impacts of heat. The collection is intended to serve as a resource for students, faculty, and staff collaborating on research initiatives related to heat as well as for community, local, state, and regional partners and other interested parties contributing to heat planning, preparedness, and response activities.