Challenges associated with projecting urbanization-induced heat-related mortality

被引:67
|
作者
Hondula, David M. [1 ,2 ]
Georgescu, Matei [2 ,3 ]
Balling, Robert C., Jr. [2 ,3 ]
机构
[1] Arizona State Univ, Ctr Policy Informat, Phoenix, AZ 85004 USA
[2] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA
[3] Arizona State Univ, Global Inst Sustainabil, Tempe, AZ 85287 USA
基金
美国国家科学基金会;
关键词
Heat-related mortality; Urbanization; Climate change; Health; Extreme heat; CLIMATE-CHANGE; EXTREME HEAT; MARICOPA COUNTY; PUBLIC-HEALTH; UNITED-STATES; IMPACTS; VULNERABILITY; PHOENIX; TEMPERATURE; CITIES;
D O I
10.1016/j.scitotenv.2014.04.130
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Maricopa County, Arizona, anchor to the fastest growing megapolitan area in the United States, is located in a hot desert climate where extreme temperatures are associated with elevated risk of mortality. Continued urbanization in the region will impact atmospheric temperatures and, as a result, potentially affect human health. We aimed to quantify the number of excess deaths attributable to heat in Maricopa County based on three future urbanization and adaptation scenarios and multiple exposure variables. Two scenarios ( low and high growth projections) represent the maximumpossible uncertainty range associatedwith urbanization in central Arizona, and a third represents the adaptation of high-albedo cool roof technology. Using a Poisson regression model, we related temperature to mortality using data spanning 1983-2007. Regional climate model simulations based on 2050-projected urbanization scenarios for Maricopa County generated distributions of temperature change, and fromthese predicted changes future excess heat-relatedmortality was estimated. Subject to urbanization scenario and exposure variable utilized, projections of heat-related mortality ranged from a decrease of 46 deaths per year (-95%) to an increase of 339 deaths per year (+ 359%). Projections based on minimum temperature showed the greatest increase for all expansion and adaptation scenarios and were substantially higher than those for dailymean temperature. Projections based onmaximumtemperaturewere largely associatedwith declining mortality. Low-growth and adaptation scenarios led to the smallest increase in predicted heat-related mortality based on mean temperature projections. Use of only one exposure variable to project future heatrelated deaths may therefore be misrepresentative in terms of direction of change and magnitude of effects. Because urbanization-induced impacts can vary across the diurnal cycle, projections of heat-related health outcomes that do not consider place-based, time-varying urban heat island effects are neglecting essential elements for policy relevant decision-making. (C) 2014 Elsevier B.V. All rights reserved.
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页码:538 / 544
页数:7
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