School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA; Urban Climate Research Center, Arizona State University, Tempe, AZ, USA; National Institute of Water and Atmospheric Research, Wellington, New Zealand.
Union of Concerned Scientists, Washington, DC, USA.
Sci Total Environ. 2022 Mar 10;811:151326. doi: 10.1016/j.scitotenv.2021.151326. Epub 2021 Oct 29.
Cities are facing the twin pressures of greenhouse gas driven climatic warming and locally induced urban heating. These pressures are threatening populations that are sensitive to extreme heat due to sociodemographic factors including economic means. Heat-reducing infrastructure adaptation measures such as reflective "cool" materials can reduce urban temperatures. Here we examine the needs-based equity implications associated with heat-reducing cool roofing in Maricopa County, Arizona through application of high-resolution urban-atmospheric simulations. We simulate heatwave conditions and evaluate the air temperature reduction arising from uniform cool roof implementation (i.e., the entire urbanized county), and contrast results against simulated cooling impacts of needs-based targeted cool roof implementation in sociodemographically heat sensitive areas. We find that installing cool roofs uniformly, rather than in a targeted fashion, provides on average 0.66 °C reduction in the highest heat sensitivity area and 0.39 °C temperature reduction in the lowest heat sensitivity area due in part to a higher roof area density in the heat sensitive area. Targeting cool roof implementation yields 0.45 °C cooling in the most sensitive areas compared to 0.22 °C cooling in the least sensitive areas, meaning that needs-based targeted cool roofs in high sensitivity areas provide more relief than cool roofs targeted at low sensitivity areas, thus providing more cooling where it is most needed. Needs-based targeted implementation has the dual benefits of concurrently producing more than twice as much cooling and reducing heat exposure for the largest absolute number of individuals in the densely populated, highly heat sensitive areas. Targeting cool roof implementation to high heat sensitivity areas, however, does not achieve thermally equal temperatures in Maricopa County because the high sensitivity areas were substantially warmer than low sensitivity areas prior to implementation. This study illustrates the utility of a new "Targeted Urban Heat Adaptation" (TUHA) framework to assess needs-based equity implications of heat-reducing strategies and underscores its importance by examining the impacts of cooling interventions across sociodemographically heterogeneous urban environments.
城市正面临着温室气体驱动的气候变暖与局部诱发的城市热岛效应的双重压力。这些压力威胁着那些由于社会人口因素(包括经济手段)而对极端高温敏感的人群。减少热量的基础设施适应措施,如反射“冷”材料,可以降低城市温度。在这里,我们通过应用高分辨率的城市大气模拟,研究了亚利桑那州马里科帕县减少热量的冷屋顶所带来的基于需求的公平性影响。我们模拟了热浪条件,并评估了在整个城市化县城实施统一冷屋顶后出现的空气温度降低情况,并将结果与在社会人口热敏感地区基于需求的有针对性的冷屋顶实施的模拟冷却效果进行了对比。我们发现,与有针对性地安装冷屋顶相比,统一安装冷屋顶平均可使最高热敏感地区的温度降低 0.66°C,最低热敏感地区的温度降低 0.39°C,这部分是由于热敏感地区的屋顶面积密度较高。与在最低热敏感地区的 0.22°C 冷却相比,有针对性地安装冷屋顶可在最敏感地区产生 0.45°C 的冷却,这意味着在高敏感地区基于需求的有针对性的冷屋顶比在低敏感地区更能提供缓解,因此在最需要的地方提供了更多的冷却。基于需求的有针对性的实施同时产生了两倍以上的冷却效果,并减少了人口密集、高度热敏感地区的最大绝对人数的热暴露,具有双重好处。然而,将冷屋顶的实施目标对准高热敏感度地区,并不能使马里科帕县的温度达到热均衡,因为在实施之前,高敏感度地区的温度已经明显高于低敏感度地区。本研究说明了一种新的“有针对性的城市热适应”(TUHA)框架的实用性,该框架用于评估减少热量的策略的基于需求的公平性影响,并通过考察冷却干预措施对社会人口异质城市环境的影响,强调了其重要性。