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The contribution of outdoor air pollution sources to premature mortality on a global scale.全球范围内,户外空气污染来源对过早死亡的贡献。
Nature. 2015 Sep 17;525(7569):367-71. doi: 10.1038/nature15371.
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Household cooking with solid fuels contributes to ambient PM2.5 air pollution and the burden of disease.使用固体燃料进行家庭烹饪会导致环境细颗粒物空气污染和疾病负担。
Environ Health Perspect. 2014 Dec;122(12):1314-20. doi: 10.1289/ehp.1206340. Epub 2014 Sep 5.
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Millions dead: how do we know and what does it mean? Methods used in the comparative risk assessment of household air pollution.数百万人死亡:我们是如何得知的,这意味着什么?家用空气污染比较风险评估中使用的方法。
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Distribution of atmospheric particulate matter (PM) in rural field, rural village and urban areas of northern China.中国北方农村田野、农村村庄和城市地区的大气颗粒物(PM)分布。
Environ Pollut. 2014 Feb;185:134-40. doi: 10.1016/j.envpol.2013.10.042. Epub 2013 Nov 20.
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A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.21 个地区 1990-2010 年 67 种致病因素和致病因素群导致的疾病和伤害负担的比较风险评估:全球疾病负担研究 2010 系统分析。
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Policy: Cleaning China's air.政策:净化中国空气。
Nature. 2012 Apr 11;484(7393):161-2. doi: 10.1038/484161a.
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Emission characteristics of carbonaceous particles from various residential coal-stoves in China.中国各种家用煤炉碳质颗粒的排放特征。
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Household air pollution from coal and biomass fuels in China: measurements, health impacts, and interventions.中国煤炭和生物质燃料造成的家庭空气污染:测量、健康影响及干预措施
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Emission factors for carbonaceous particles and polycyclic aromatic hydrocarbons from residential coal combustion in China.中国居民燃煤产生的碳质颗粒和多环芳烃的排放因子。
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中国家庭的空气污染物排放:一个主要且未得到充分认识的环境污染源。

Air pollutant emissions from Chinese households: A major and underappreciated ambient pollution source.

作者信息

Liu Jun, Mauzerall Denise L, Chen Qi, Zhang Qiang, Song Yu, Peng Wei, Klimont Zbigniew, Qiu Xinghua, Zhang Shiqiu, Hu Min, Lin Weili, Smith Kirk R, Zhu Tong

机构信息

State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;

Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ 08544; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544;

出版信息

Proc Natl Acad Sci U S A. 2016 Jul 12;113(28):7756-61. doi: 10.1073/pnas.1604537113. Epub 2016 Jun 27.

DOI:10.1073/pnas.1604537113
PMID:27354524
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4948343/
Abstract

As part of the 12th Five-Year Plan, the Chinese government has developed air pollution prevention and control plans for key regions with a focus on the power, transport, and industrial sectors. Here, we investigate the contribution of residential emissions to regional air pollution in highly polluted eastern China during the heating season, and find that dramatic improvements in air quality would also result from reduction in residential emissions. We use the Weather Research and Forecasting model coupled with Chemistry to evaluate potential residential emission controls in Beijing and in the Beijing, Tianjin, and Hebei (BTH) region. In January and February 2010, relative to the base case, eliminating residential emissions in Beijing reduced daily average surface PM2.5 (particulate mater with aerodynamic diameter equal or smaller than 2.5 micrometer) concentrations by 14 ± 7 μg⋅m(-3) (22 ± 6% of a baseline concentration of 67 ± 41 μg⋅m(-3); mean ± SD). Eliminating residential emissions in the BTH region reduced concentrations by 28 ± 19 μg⋅m(-3) (40 ± 9% of 67 ± 41 μg⋅m(-3)), 44 ± 27 μg⋅m(-3) (43 ± 10% of 99 ± 54 μg⋅m(-3)), and 25 ± 14 μg⋅m(-3) (35 ± 8% of 70 ± 35 μg⋅m(-3)) in Beijing, Tianjin, and Hebei provinces, respectively. Annually, elimination of residential sources in the BTH region reduced emissions of primary PM2.5 by 32%, compared with 5%, 6%, and 58% achieved by eliminating emissions from the transportation, power, and industry sectors, respectively. We also find air quality in Beijing would benefit substantially from reductions in residential emissions from regional controls in Tianjin and Hebei, indicating the value of policies at the regional level.

摘要

作为“十二五”规划的一部分,中国政府制定了重点区域空气污染防治计划,重点关注电力、交通和工业部门。在此,我们调查了供暖季节中国东部污染严重地区居民排放对区域空气污染的贡献,并发现减少居民排放也将带来空气质量的显著改善。我们使用天气研究和预报模型结合化学模型来评估北京以及京津冀地区潜在的居民排放控制措施。在2010年1月和2月,相对于基准情景,在北京消除居民排放使日均地面PM2.5(空气动力学直径等于或小于2.5微米的颗粒物)浓度降低了14±7微克·立方米(相对于基线浓度67±41微克·立方米的22±6%;均值±标准差)。在京津冀地区消除居民排放,分别使北京、天津和河北省的浓度降低了28±19微克·立方米(相对于67±41微克·立方米的40±9%)、44±27微克·立方米(相对于99±54微克·立方米的43±10%)和25±14微克·立方米(相对于70±35微克·立方米的35±8%)。每年,京津冀地区消除居民源使一次PM2.5排放量减少32%,相比之下,消除交通、电力和工业部门排放分别实现的减排比例为5%、6%和58%。我们还发现,天津和河北实施区域控制减少居民排放将使北京的空气质量大幅改善,这表明了区域层面政策的价值。