Li Chi, Martin Randall V, van Donkelaar Aaron, Jimenez Jose L, Zhang Qi, Turner Jay R, Liu Xuan, Rowe Mark, Meng Jun, Yu Wuyue, Thurston George D
Department of Energy, Environmental and Chemical Engineering, Washington University in St Louis, St Louis, MO, USA.
Department of Energy, Environmental and Chemical Engineering, Washington University in St Louis, St Louis, MO, USA.
Lancet Planet Health. 2025 Jun;9(6):e491-e502. doi: 10.1016/S2542-5196(25)00094-4.
Excess health risk estimates of exposure per unit mass concentration of fine particulate matter (PM) still exhibit a wide range, potentially due to variations in aerosol size and composition. Submicron particulate matter (PM) was recently reported to exert stronger health impacts than PM from studies in China, but an absence of long-term PM data in the USA has prohibited such investigations despite a wealth of cohorts. This study aims to fill this data gap and estimate PM concentrations over 1998-2022 across the USA.
We estimated biweekly gapless ambient PM concentrations and their uncertainties at 1 km resolution across the contiguous USA over the 25-year period of 1998-2022, from hybrid estimates of PM chemical composition that merged information from satellite retrievals, air quality modelling, and ground-based monitoring. The mass fractions of PM components with diameters below 1 μm were constrained by observations for four major components and from established scientific understanding for the other components.
PM concentrations exhibited pronounced spatial variation across the contiguous USA with enhancements observed in the east, major urban and industrial areas, and areas affected by wildfires; low concentrations are prevalent over the arid west. The main components of population-weighted mean (PWM) PM in 2022 (6·1 μg/m) were organic matter (47%), sulphate (22%), nitrate (12%), black carbon (8%), and ammonium (7%). The biweekly PM estimates were highly consistent with independent ground-based PM measurements (slope=0·96, R=0·78). The estimated 1-σ uncertainties of annual mean PM for the 25 years over more than 8 million land pixels were less than 20% for 98% of data points, while 0·3% of the population of the contiguous USA was associated with uncertainties of more than 30% due to wildfires. The PWM PM decreased significantly (p<0·0001) at a rate of -0·23 μg/m per year during 1998-2022, accounting for 86% of the overall reduction of PWM PM; the PWM PM/PM ratio experienced simultaneous decrease (-0·0013 per year, p<0·0001).
The dominance of PM in PM reduction and the decreasing PM/PM ratio reflect the strong association of PM with fossil fuel and other combustion sources and their responses to air quality regulations during the 25-year study period. The gradual coarsening of PM calls for increasing urgency to separately assess health impacts of PM versus PM, as supported by the quality of the derived PM estimates. Future particulate matter monitoring programmes, health studies, and regulatory deliberations should consider PM in addition to PM.
National Institute of Environmental Health Sciences, National Institutes of Health.
每单位质量浓度的细颗粒物(PM)的过量健康风险估计值仍存在很大差异,这可能是由于气溶胶大小和成分的变化所致。最近有研究表明,在中国的研究中,亚微米颗粒物(PM)比PM对健康的影响更强,但尽管美国有大量队列研究,但缺乏长期的PM数据阻碍了此类调查。本研究旨在填补这一数据空白,并估算1998 - 2022年期间美国各地的PM浓度。
我们通过融合卫星反演、空气质量建模和地面监测信息的PM化学成分混合估计,在1998 - 2022年的25年期间,以1公里分辨率估算了美国本土连续区域的双周无间隙环境PM浓度及其不确定性。直径小于1μm的PM成分的质量分数由四种主要成分的观测数据以及对其他成分的既定科学认识来约束。
美国本土连续区域的PM浓度呈现出明显的空间变化,东部、主要城市和工业区以及受野火影响的地区浓度有所增加;干旱的西部地区浓度普遍较低。2022年人口加权平均(PWM)PM的主要成分(6·1μg/m)为有机物(47%)、硫酸盐(22%)、硝酸盐(12%)、黑碳(8%)和铵(7%)。双周PM估计值与独立的地面PM测量值高度一致(斜率 = 0·96,R = 0·78)。在超过800万个陆地像素上,25年期间年均PM的估计1-σ不确定性对于98%的数据点小于20%,而由于野火,美国本土连续区域0·3%的人口的不确定性超过30%。在1998 - 2022年期间,PWM PM以每年 -0·23μg/m的速率显著下降(p<0·0001),占PWM PM总体下降的86%;PWM PM/PM比值同时下降(每年 -0·0013,p<0·0001)。
PM在PM减少中的主导地位以及PM/PM比值的下降反映了在25年的研究期间,PM与化石燃料和其他燃烧源的强烈关联以及它们对空气质量法规的响应。PM的逐渐粗化要求更加迫切地分别评估PM与PM对健康的影响,这得到了推导的PM估计值质量的支持。未来的颗粒物监测计划、健康研究和监管审议除了考虑PM之外,还应考虑PM。
美国国立卫生研究院国家环境健康科学研究所。