Economic and Social Research Institute, Whitaker Square, Sir John Rogerson's Quay, Dublin 2, D02 K138, Ireland.
Department of Economics, Trinity College, Dublin, Ireland.
Int J Health Geogr. 2024 Jul 6;23(1):17. doi: 10.1186/s12942-024-00377-4.
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 PM concentrations for small areas in Ireland, to assess the relationship between social vulnerability and PM air pollution. Examining a wide range of socioeconomic indicators revealed some differentials in PM 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 PM concentrations across small areas. In common with other western European countries, an overall decline in the levels of PM 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 PM annual guideline (of 5 µg/m), 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 PM 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.
空气污染暴露与人类健康不良影响之间的联系已有充分记录。然而,在欧洲背景下,关于空气污染的空间分布和区域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)和新方法来研究这些关系。本研究使用广泛的人口和社会经济指标的综合数据,与爱尔兰小区域 PM 浓度数据相匹配,评估社会脆弱性与 PM 空气污染之间的关系。研究发现,在不同的社会经济指标中,PM 浓度水平存在差异,而且按农村和城市分类也存在差异。然而,使用浓度曲线和浓度指数进行的统计建模并没有为小区域之间 PM 浓度的不平等提供实质性证据。与其他西欧国家一样,爱尔兰观察到 2011 年至 2016 年期间 PM 水平总体下降,尽管数据表明爱尔兰几乎所有的小区域都发现 PM 年平均值(5μg/m)超过世界卫生组织(WHO)的指导值,需要在爱尔兰加大政策力度减少空气污染。最近的《清洁空气战略》承诺到 2040 年实现 PM 达到 WHO 指导值的目标,并在未来二十年的各个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取暖脱碳、促进积极出行和向电动汽车过渡,并进一步规范化石燃料燃烧和更严格地执行环境法规。从研究和信息收集的角度来看,在关键地点安装更多监测站可以提高数据的质量和空间维度,促进对清洁空气战略措施实施情况的评估。