A longitudinal study of heatwave-health vulnerability in Australia

IF 6.9 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES Urban Climate Pub Date : 2025-02-25 DOI:10.1016/j.uclim.2025.102346
Patrick Amoatey , Nicholas J. Osborne , Zhiwei Xu , Ralph Trancoso , Dung Phung
{"title":"A longitudinal study of heatwave-health vulnerability in Australia","authors":"Patrick Amoatey ,&nbsp;Nicholas J. Osborne ,&nbsp;Zhiwei Xu ,&nbsp;Ralph Trancoso ,&nbsp;Dung Phung","doi":"10.1016/j.uclim.2025.102346","DOIUrl":null,"url":null,"abstract":"<div><div>Heatwave is an increasing threat to public health in Australia. However, the extent of spatiotemporal variations in heatwave-health vulnerability across Australia is still unclear. We investigated Statistical Area Level 2 (SA2) spatial scale heatwave-health vulnerability across Australia using a longitudinal study design. We acquired SA2-level demographic, socioeconomic, and health data from the Australian Bureau of Statistics (ABS) for 2011, 2016, and 2021. We included heatwave data (2001−2020) from the Bureau of Meteorology (BOM), and landcover data (2003−2020) from the Bureau of Agriculture, Resource Economics and Sciences (ABARES). We applied geospatial modelling, and multivariate statistical techniques to construct the heatwave vulnerability index and examine the factors influencing vulnerability. We found variability in heatwave-health vulnerability both spatially and temporally across Australia, with higher vulnerability, particularly in the Northwest and the lowest in Southeastern Australia. The SA2s within greater capital cities had greater temporal changes in heatwave-health vulnerability. Clusters of high vulnerability were evident in Northern and Southeastern Australia from 2011 to 2016 but reduced in 2021. In greater capital cities, high clusters of vulnerability were apparent within Northern Adelaide and Western Melbourne. Heatwave characteristics (low-intensity, severe, extreme) analyses suggest stronger associations between extreme heatwave days and heatwave-health vulnerability for all the years. Older people (&gt;65 years) and social isolation had a positive association with heatwave-health vulnerability in 2011. For five consecutive years, the risk changed to SA2s with low education, low income, high diabetes, and lower health professionals. Heatwave interventions and adaptations may be targeted to these underlying influential factors.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"60 ","pages":"Article 102346"},"PeriodicalIF":6.9000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Climate","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212095525000628","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Heatwave is an increasing threat to public health in Australia. However, the extent of spatiotemporal variations in heatwave-health vulnerability across Australia is still unclear. We investigated Statistical Area Level 2 (SA2) spatial scale heatwave-health vulnerability across Australia using a longitudinal study design. We acquired SA2-level demographic, socioeconomic, and health data from the Australian Bureau of Statistics (ABS) for 2011, 2016, and 2021. We included heatwave data (2001−2020) from the Bureau of Meteorology (BOM), and landcover data (2003−2020) from the Bureau of Agriculture, Resource Economics and Sciences (ABARES). We applied geospatial modelling, and multivariate statistical techniques to construct the heatwave vulnerability index and examine the factors influencing vulnerability. We found variability in heatwave-health vulnerability both spatially and temporally across Australia, with higher vulnerability, particularly in the Northwest and the lowest in Southeastern Australia. The SA2s within greater capital cities had greater temporal changes in heatwave-health vulnerability. Clusters of high vulnerability were evident in Northern and Southeastern Australia from 2011 to 2016 but reduced in 2021. In greater capital cities, high clusters of vulnerability were apparent within Northern Adelaide and Western Melbourne. Heatwave characteristics (low-intensity, severe, extreme) analyses suggest stronger associations between extreme heatwave days and heatwave-health vulnerability for all the years. Older people (>65 years) and social isolation had a positive association with heatwave-health vulnerability in 2011. For five consecutive years, the risk changed to SA2s with low education, low income, high diabetes, and lower health professionals. Heatwave interventions and adaptations may be targeted to these underlying influential factors.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
澳大利亚热浪-健康脆弱性纵向研究
热浪对澳大利亚公众健康的威胁日益严重。然而,澳大利亚各地热浪健康脆弱性的时空变化程度仍不清楚。我们使用纵向研究设计调查了澳大利亚统计区域2级(SA2)空间尺度热浪健康脆弱性。我们从澳大利亚统计局(ABS)获得了2011年、2016年和2021年sa2级的人口、社会经济和健康数据。我们纳入了来自气象局(BOM)的热浪数据(2001 - 2020)和来自农业、资源经济和科学局(ABARES)的土地覆盖数据(2003 - 2020)。应用地理空间建模和多元统计技术构建热浪脆弱性指数,并对影响脆弱性的因素进行分析。我们发现澳大利亚各地热浪健康脆弱性在空间和时间上都存在差异,脆弱性较高,特别是在西北部和东南部最低。较大首府城市内的sa5在热浪健康脆弱性方面的时间变化更大。从2011年到2016年,澳大利亚北部和东南部的高脆弱性集群很明显,但在2021年有所减少。在较大的首府城市中,北部阿德莱德和西墨尔本的脆弱性明显较高。热浪特征(低强度、严重、极端)分析表明,所有年份极端热浪天数与热浪健康脆弱性之间存在更强的关联。2011年,老年人(65岁)和社会孤立与热浪健康脆弱性呈正相关。连续5年,受教育程度低、收入低、糖尿病高发和卫生专业人员较少的患者的风险变为sa2。热浪干预和适应可能针对这些潜在的影响因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
期刊最新文献
Heat vulnerability in the City of Ponce, Puerto Rico Influence of atmospheric pollution on precipitation microphysics: Insights from GPM DPR analysis of clean vs. polluted events Analysis of urban thermal structures in different scenarios of hot weather: The Bologna case study Influence of environmental and climatic factors on AOD concentration: A model-based analysis Air quality benefits of state-led industrial transfer: A staggered difference-in-differences analysis in Chinese cities
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1