title: Modeling effects of urban heat island mitigation strategies on heat-related morbidity: a case study for Phoenix, Arizona, USA.
abstract: A zero-dimensional energy balance model was previously developed to serve as a user-friendly mitigation tool for practitioners seeking to study the urban heat island (UHI) effect. Accordingly, 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. In addition to modeling mitigation strategies, we present how the model can be utilized to evaluate human health vulnerability from excessive heat-related events, based on heat-related emergency service data from 2002 to 2006. The 24-h average heat index is shown to have the greatest correlation to heat-related emergency calls in the Phoenix (Arizona, USA) metropolitan region. The four modeled UHI mitigation strategies, taken in combination, would lead to a 48% reduction in annual heat-related emergency service calls, where increasing the albedo is the single most effective UHI mitigation strategy.
authors.affiliation: Department of Mechanical and Aerospace Engineering, Arizona State University, Tempe, AZ, USA.
authors.forename: Humberto R
authors.initials: HR
authors.lastname: Silva
authors.forename: Patrick E
authors.initials: PE
authors.lastname: Phelan
authors.forename: Jay S
authors.initials: JS
authors.lastname: Golden
mesh_terms: D001130:Arizona / Q000453:epidemiology; D016022:Case-Control Studies; D002947:Cities / Q000453:epidemiology; D017753:Ecosystem; D004632:Emergency Medical Services / Q000706:statistics & numerical data*; D004781:Environmental Exposure / Q000032:analysis / Q000706:statistics & numerical data*; D018882:Heat Stress Disorders / Q000453:epidemiology*; D006358:Hot Temperature; D006801:Humans; D015994:Incidence; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D014505:Urban Population / Q000706:statistics & numerical data*; D014507:Urbanization / Q000639:trends*