Human heat health index (H3I) for holistic assessment of heat hazard and mitigation strategies beyond urban heat islands

Human heat health index (H3I) for holistic assessment of heat hazard and mitigation strategies beyond urban heat islands
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DOI:
10.1016/j.uclim.2023.101675
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发表时间:
2023-11
期刊:
影响因子:
6.4
通讯作者:
H. Kamath;A. Martilli;Manmeet Singh;Trevor Brooks;Kevin Lanza;R. P. Bixler;M. Coudert;Zong-Liang Yang;D. Niyogi
H. Kamath;A. Martilli;Manmeet Singh;Trevor Brooks;Kevin Lanza;R. P. Bixler;M. Coudert;Zong-Liang Yang;D. Niyogi
中科院分区:
工程技术2区
文献类型:
--
作者:
H. Kamath;A. Martilli;Manmeet Singh;Trevor Brooks;Kevin Lanza;R. P. Bixler;M. Coudert;Zong-Liang Yang;D. Niyogi

文献摘要

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某些城市社区比其他社区更容易受到高温影响,主要是因为不透水性、建筑和植被形态、社会脆弱性和人为热量释放的不均匀分布。在这里,我们证明,由于农村土地表面温度(LST)的年际和季节变化,使用通过遥感方法获得的地表城市热岛强度来评估城市热脆弱性(UHV)可能会产生误导。我们展示了当 LST 和气温被用作危险时热脆弱指数 (HVI) 的差异,并表明基于 LST 的方法高估了白天的 HVI。因此,我们认为,虽然 HVI 可能适合比较不同社区的相对特高压,但它不应用于评估绝对的白天热脆弱性。为了解决这一限制,我们提出了一个新的指标:人体热健康指数(H3I),可用于(i)评估和比较不同社区的热危害,以及(ii)评估缓解热的环境干预措施的有效性。 H3I 用于展示德克萨斯州奥斯汀市街道级建模的 3D 城市结构减少热危害的效果。我们的研究结果强调需要结合 3D 城市数据、建模和社区反馈工作来评估白天特高压,从而优先实施缓解热量策略。
Certain urban neighborhoods are more susceptible to heat than others, primarily because of the unequal distribution of imperviousness, building and vegetation morphology, social vulnerability, and anthropogenic heat release. Here, we demonstrate that using the surface urban heat island intensity obtained through remote sensing approaches to evaluate urban heat vulnerability (UHV) can be misleading due to the interannual and seasonal variability of rural land surface temperature (LST). We present the disparity in the heat vulnerability index (HVI) when LST and air temperature are used as hazards and show that the LST-based approach overestimates the HVI during daytime. Thus, we contend that while HVI may be appropriate for comparing therelativeUHV of different neighborhoods, it should not be used to assessabsolutedaytime heat vulnerability. To address this limitation, we propose a new metric: human heat health index (H3I) that can be utilized to (i) assess and compare heat hazard in different neighborhoods and (ii) evaluate the effectiveness of environmental interventions for heat mitigation. H3I was applied to demonstrate the reduction in heat hazard due to 3-D urban structures using street-level modeling in Austin, Texas. Our findings emphasize the need for combining 3-D urban data, modeling, and community feedbacks efforts to assess daytime UHV for prioritizing the implementation of heat mitigation strategies.