海平面上升与城市层面的气候行动

Margaret M. Brennan, Sarah Whitmee, C. Braneon, Nienke Meinsma, R. Green
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摘要

背景:气候变化是21世纪全球健康面临的最大威胁。海平面上升是一个特别令人担忧的表现,世界上许多最大的城市都容易受到海平面上升的影响。因此,城市气候适应和缓解政策对保护人口健康越来越重要。目的:本研究旨在确定SLR风险是否与城市层面的气候行动有关。它还旨在评估城市气候行动的更广泛驱动因素,以指导正在进行的激励气候行动的努力,评估公共卫生准备情况,并确定研究差距。方法:这是一项生态横断面研究,使用了CDP、城市气候变化研究网络(UCCRN)、世界银行、联合国城市和EM-DAT(紧急事件数据库)的二次数据。研究人群包括517个参加CDP 2019年城市调查的城市。多变量逻辑回归用于评估SLR风险与城市层面气候行动之间的关系,其次,用于评估城市层面气候行为的更广泛决定因素。结果:有证据表明,SLR风险与代表城市层面气候行动的三个结果变量之间存在粗略关联。然而,在对混杂变量进行调整后,这些粗略的关联消失了。世界地区、国民收入状况和城市人口被证明是城市一级气候行动的有力预测因素。结论:SLR风险与气候行动之间没有关联,这对人群健康来说是令人担忧的。这可能表明人们对SLR在城市治理中带来的风险缺乏认识。为了履行其健康保护责任,公共卫生专业人员在倡导气候行动方面发挥主导作用至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sea Level Rise and City-Level Climate Action
Background: Climate change is the greatest threat to global health in the 21 st century. Rising sea levels are one particularly concerning manifestation of this and many of the world ’ s largest cities are vulnerable to sea level rise (SLR). Thus, urban climate adaptation and mitigation policies are increasingly important to protect population health. Objectives: This study aimed to determine whether being at risk of SLR was associated with city-level climate action. It also aimed to assess the wider drivers of climate action in cities, in order to guide ongoing efforts to motivate climate action, assess public health preparedness and identify research gaps. Methods: This is an ecological cross-sectional study using secondary data from CDP, the Urban Climate Change Research Network (UCCRN), World Bank, United Nations Cities and EM-DAT (Emergency Events Database). The study population consisted of 517 cities who participated in CDP ’ s 2019 Cities Survey. Multivariable logistic regression was utilized to assess the relationship between risk of SLR and city-level climate action, and secondly, to assess the wider determinants of city-level climate action. Results: There was evidence of crude associations between risk of SLR and three outcome variables representing city-level climate action. However, after adjusting for confounding variables, these crude associations disappeared. World region, national income status and urban population were shown to be stronger predictors of city-level climate action. Conclusion: It is concerning for population health that there is no association demonstrated between risk of SLR and climate action. This could indicate a lack of awareness of the risks posed by SLR within urban governance. To fulfil their health protection responsibilities, it is essential that public health professionals take a leading role in advocating for climate action.
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