Silva Raquel A, West J Jason, Lamarque Jean-François, Shindell Drew T, Collins William J, Dalsoren Stig, Faluvegi Greg, Folberth Gerd, Horowitz Larry W, Nagashima Tatsuya, Naik Vaishali, Rumbold Steven T, Sudo Kengo, Takemura Toshihiko, Bergmann Daniel, Cameron-Smith Philip, Cionni Irene, Doherty Ruth M, Eyring Veronika, Josse Beatrice, MacKenzie I A, Plummer David, Righi Mattia, Stevenson David S, Strode Sarah, Szopa Sophie, Zeng Guang
Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina, USA.
NCAR Earth System Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA.
Atmos Chem Phys. 2016;16(15):9847-9862. doi: 10.5194/acp-16-9847-2016. Epub 2016 Aug 5.
Ambient air pollution from ground-level ozone and fine particulate matter (PM) is associated with premature mortality. Future concentrations of these air pollutants will be driven by natural and anthropogenic emissions and by climate change. Using anthropogenic and biomass burning emissions projected in the four Representative Concentration Pathway scenarios (RCPs), the ACCMIP ensemble of chemistry-climate models simulated future concentrations of ozone and PM at selected decades between 2000 and 2100. We use output from the ACCMIP ensemble, together with projections of future population and baseline mortality rates, to quantify the human premature mortality impacts of future ambient air pollution. Future air pollution-related premature mortality in 2030, 2050 and 2100 is estimated for each scenario and for each model using a health impact function based on changes in concentrations of ozone and PM relative to 2000 and projected future population and baseline mortality rates. Additionally, the global mortality burden of ozone and PM in 2000 and each future period is estimated relative to 1850 concentrations, using present-day and future population and baseline mortality rates. The change in future ozone concentrations relative to 2000 is associated with excess global premature mortality in some scenarios/periods, particularly in RCP8.5 in 2100 (316 thousand deaths/year), likely driven by the large increase in methane emissions and by the net effect of climate change projected in this scenario, but it leads to considerable avoided premature mortality for the three other RCPs. However, the global mortality burden of ozone markedly increases from 382,000 (121,000 to 728,000) deaths/year in 2000 to between 1.09 and 2.36 million deaths/year in 2100, across RCPs, mostly due to the effect of increases in population and baseline mortality rates. PM concentrations decrease relative to 2000 in all scenarios, due to projected reductions in emissions, and are associated with avoided premature mortality, particularly in 2100: between -2.39 and -1.31 million deaths/year for the four RCPs. The global mortality burden of PM is estimated to decrease from 1.70 (1.30 to 2.10) million deaths/year in 2000 to between 0.95 and 1.55 million deaths/year in 2100 for the four RCPs, due to the combined effect of decreases in PM concentrations and changes in population and baseline mortality rates. Trends in future air pollution-related mortality vary regionally across scenarios, reflecting assumptions for economic growth and air pollution control specific to each RCP and region. Mortality estimates differ among chemistry-climate models due to differences in simulated pollutant concentrations, which is the greatest contributor to overall mortality uncertainty for most cases assessed here, supporting the use of model ensembles to characterize uncertainty. Increases in exposed population and baseline mortality rates of respiratory diseases magnify the impact on premature mortality of changes in future air pollutant concentrations and explain why the future global mortality burden of air pollution can exceed the current burden, even where air pollutant concentrations decrease.
地面臭氧和细颗粒物(PM)造成的环境空气污染与过早死亡有关。这些空气污染物未来的浓度将受自然排放、人为排放以及气候变化的影响。利用四种代表性浓度路径情景(RCPs)中预测的人为排放和生物质燃烧排放,气候 - 化学模型的ACCMIP集合模拟了2000年至2100年期间选定几十年的臭氧和PM未来浓度。我们使用ACCMIP集合的输出结果,以及未来人口和基线死亡率的预测数据,来量化未来环境空气污染对人类过早死亡的影响。针对每种情景和每个模型,使用基于相对于2000年臭氧和PM浓度变化以及预测的未来人口和基线死亡率的健康影响函数,估算了2030年、2050年和2100年与未来空气污染相关的过早死亡情况。此外,利用当前和未来人口以及基线死亡率,相对于1850年的浓度估算了2000年及每个未来时期臭氧和PM的全球死亡负担。在某些情景/时期,相对于2000年未来臭氧浓度的变化与全球过早死亡人数增加有关,特别是在2100年的RCP8.5情景中(每年31.6万例死亡),这可能是由于该情景中甲烷排放量的大幅增加以及气候变化的综合影响,但对于其他三种RCP情景则避免了大量过早死亡。然而,跨RCP情景,臭氧的全球死亡负担从2000年的每年38.2万(12.1万至72.8万)例死亡显著增加到2100年的每年109万至236万例死亡,主要是由于人口增加和基线死亡率上升的影响。在所有情景中,由于预计排放量减少,PM浓度相对于2000年有所下降,并与避免过早死亡相关,特别是在2100年:四种RCP情景下每年减少239万至131万例死亡。由于PM浓度下降以及人口和基线死亡率变化的综合影响,四种RCP情景下PM的全球死亡负担预计将从2000年的每年170万(130万至210万)例死亡降至2100年的每年95万至155万例死亡。未来与空气污染相关的死亡率趋势在不同情景下因地区而异,反映了每个RCP情景和地区特定的经济增长和空气污染控制假设。由于模拟的污染物浓度不同,气候 - 化学模型之间的死亡率估计存在差异,这是此处评估的大多数情况下总体死亡率不确定性的最大贡献因素,支持使用模型集合来描述不确定性。暴露人口增加以及呼吸道疾病基线死亡率上升,放大了未来空气污染物浓度变化对过早死亡的影响,并解释了为什么即使空气污染物浓度下降,未来空气污染的全球死亡负担仍可能超过当前负担。