An investigation of inequalities in exposure to PM2.5 air pollution across small areas in Ireland.

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH International Journal of Health Geographics Pub Date : 2024-07-06 DOI:10.1186/s12942-024-00377-4
Aislinn Hoy, Gretta Mohan, Anne Nolan
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Abstract

The link between exposure to air pollution and adverse effects on human health is well documented. Yet, in a European context, research on the spatial distribution of air pollution and the characteristics of areas is relatively scarce, and there is a need for research using different spatial scales, a wider variety of socioeconomic indicators (such as ethnicity) and new methodologies to assess these relationships. This study uses comprehensive data on a wide range of demographic and socioeconomic indicators, matched to data on PM2.5 concentrations for small areas in Ireland, to assess the relationship between social vulnerability and PM2.5 air pollution. Examining a wide range of socioeconomic indicators revealed some differentials in PM2.5 concentration levels by measure and by rural and urban classification. However, statistical modelling using concentration curves and concentration indices did not present substantial evidence of inequalities in PM2.5 concentrations across small areas. In common with other western European countries, an overall decline in the levels of PM2.5 between 2011 and 2016 was observed in Ireland, though the data indicates that almost all small areas in Ireland were found to have exceeded the World Health Organization (WHO)'s PM2.5 annual guideline (of 5 µg/m3), calling for greater policy efforts to reduce air pollution in Ireland. The recent Clean Air Strategy contains a commitment to achieve the WHO guideline limits for PM2.5 by 2040, with interim targets at various points over the next two decades. Achieving these targets will require policy measures to decarbonise home heating, promote active travel and the transition to electric vehicles, and further regulations on burning fossil fuels and enforcing environmental regulations more tightly. From a research and information-gathering perspective, installing more monitoring stations at key points could improve the quality and spatial dimension of the data collected and facilitate the assessment of the implementation of the measures in the Clean Air Strategy.

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对爱尔兰各小区域 PM2.5 空气污染暴露不平等现象的调查。
暴露于空气污染与对人类健康的不利影响之间的联系有据可查。然而,在欧洲范围内,有关空气污染的空间分布和地区特征的研究相对较少,需要使用不同的空间尺度、更广泛的社会经济指标(如种族)和新方法来评估这些关系。本研究使用了大量人口和社会经济指标的综合数据,并与爱尔兰小区域的 PM2.5 浓度数据相匹配,以评估社会脆弱性与 PM2.5 空气污染之间的关系。对广泛的社会经济指标进行研究后发现,PM2.5 浓度水平在衡量标准和城乡分类方面存在一些差异。不过,使用浓度曲线和浓度指数进行的统计建模并没有提供大量证据表明小地区之间的 PM2.5 浓度不平等。与其他西欧国家一样,2011 年至 2016 年期间,爱尔兰的 PM2.5 水平总体下降,但数据显示,爱尔兰几乎所有的小区域都超过了世界卫生组织(WHO)的 PM2.5 年度指导值(5 µg/m3),这就要求爱尔兰加大政策力度,减少空气污染。最近出台的《清洁空气战略》承诺到 2040 年实现世界卫生组织 PM2.5 指导限值,并在未来二十年的不同时间点设定了中期目标。要实现这些目标,需要采取政策措施,使家庭供暖去碳化,促进积极出行和向电动汽车过渡,进一步规范化石燃料的燃烧,更严格地执行环境法规。从研究和信息收集的角度来看,在关键点安装更多监测站可以提高所收集数据的质量和空间维度,并有助于评估清洁空气战略中各项措施的实施情况。
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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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