Horsfall Laura, Kennedy Calum, Shelton Nicola, Taylor Jonathon, Hurst John R, Loxham Matthew, Dennett Adam, Hardelid Pia
Institute of Health Informatics, University College London, London, NW1 2DA, United Kingdom.
Institute of Health Informatics, University College London, London, NW1 2DA, United Kingdom.
Environ Int. 2025 Jul;201:109537. doi: 10.1016/j.envint.2025.109537. Epub 2025 Jun 3.
Particulate matter emissions from residential wood burning are rising in many countries. Long-term exposure to fine particulate matter is strongly linked with adverse health effects including cardiovascular and respiratory disease. Policymakers and scientists need accurate tools to identify residential wood burning hotspots. However, current methods rely on spatially-misaligned, out-of-date data sources, reducing their practical utility and portability to other contexts. Furthermore, the socio-economic characteristics of residential wood burning in high income countries are poorly understood.
We used open data from 26 million Energy Performance Certificates (EPCs) for properties in England and Wales from 2009-2025 to map the concentration and prevalence of wood burners within small areas. We evaluated our method against the UK national wood burning emissions inventory using national air pollution monitoring networks. We used novel open data linkages to characterise associations between area-level prevalence of wood burners and socio-economic factors including deprivation, ethnicity, and age.
We identified substantial spatial heterogeneity in the concentration of wood burners, with the highest concentrations in affluent urban areas. Our concentration metric was more strongly correlated with peaks in winter PM2.5 at urban monitoring sites than estimates from the UK national emissions inventory. Prevalence of wood burners was positively correlated with age and negatively correlated with measures of social deprivation. Prevalence of wood burners in EPCs has increased since 2009.
EPCs are a valuable data source which policymakers can use to target local interventions or extend existing restrictions on solid fuel burning. Our method is transparent, up-to-date, and portable to other countries where similar EPC data is available. The relationship between social deprivation and prevalence of wood burning heat sources highlights important issues of environmental justice. Epidemiological analyses of wood smoke exposures and health should carefully account for the confounding effects of age, deprivation, and ethnicity.
在许多国家,居民燃木造成的颗粒物排放正在增加。长期接触细颗粒物与包括心血管疾病和呼吸系统疾病在内的不良健康影响密切相关。政策制定者和科学家需要准确的工具来识别居民燃木热点地区。然而,目前的方法依赖于空间上不匹配、过时的数据源,降低了它们的实际效用以及在其他环境中的适用性。此外,人们对高收入国家居民燃木的社会经济特征了解甚少。
我们使用了2009年至2025年英格兰和威尔士2600万份房产能源性能证书(EPC)的开放数据,来绘制小区域内燃木取暖设备的浓度和普及率地图。我们使用国家空气污染监测网络,对照英国国家燃木排放清单评估了我们的方法。我们利用新颖的开放数据关联,来描述燃木取暖设备的区域普及率与包括贫困程度、种族和年龄在内的社会经济因素之间的关联。
我们发现燃木取暖设备的浓度存在显著的空间异质性,富裕的城市地区浓度最高。我们的浓度指标与城市监测点冬季PM2.5峰值的相关性,比英国国家排放清单的估计值更强。燃木取暖设备的普及率与年龄呈正相关,与社会贫困程度指标呈负相关。自2009年以来,能源性能证书中燃木取暖设备的普及率有所上升。
能源性能证书是一个有价值的数据源,政策制定者可以利用它来针对当地干预措施或扩大现有的固体燃料燃烧限制。我们的方法是透明、最新的,并且适用于有类似能源性能证书数据的其他国家。社会贫困与燃木取暖热源普及率之间的关系凸显了环境正义的重要问题。对木烟暴露与健康的流行病学分析应仔细考虑年龄、贫困和种族的混杂影响。