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大气中化石燃料 CO 的示踪研究:来自中国北京和厦门 CO 及空气质量指数污染物的观测。

Atmospheric fossil fuel CO traced by CO and air quality index pollutant observations in Beijing and Xiamen, China.

机构信息

State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China.

Shaanxi Key Laboratory of Accelerator Mass Spectrometry Technology and Application, Xi'an AMS Center, Xi'an, China.

出版信息

Environ Sci Pollut Res Int. 2018 Jun;25(17):17109-17117. doi: 10.1007/s11356-018-1616-z. Epub 2018 Apr 11.

DOI:10.1007/s11356-018-1616-z
PMID:29644611
Abstract

Radiocarbon (C) is the most accurate tracer available for quantifying atmospheric CO derived from fossil fuel (CO), but it is expensive and time-consuming to measure. Here, we used common hourly Air Quality Index (AQI) pollutants (AQI, PM, PM, and CO) to indirectly trace diurnal CO variations during certain days at the urban sites in Beijing and Xiamen, China, based on linear relationships between AQI pollutants and CO traced by C ([Formula: see text]) for semimonthly samples obtained in 2014. We validated these indirectly traced CO (CO) concentrations against [Formula: see text] concentrations traced by simultaneous diurnal CO observations. Significant (p < 0.05) strong correlations were observed between each of the separate AQI pollutants and [Formula: see text] for the semimonthly samples. Diurnal variations in CO traced by each of the AQI pollutants generally showed similar trends to those of [Formula: see text], with high agreement at the sampling site in Beijing and relatively poor agreement at the sampling site in Xiamen. AQI pollutant tracers showed high normalized root-mean-square (NRMS) errors for the summer diurnal samples due to low [Formula: see text] concentrations. After the removal of these summer samples, the NRMS errors for AQI pollutant tracers were in the range of 31.6-64.2%. CO generally showed a high agreement and low NRMS errors among these indirect tracers. Based on these linear relationships, monthly CO averages at the sampling sites in Beijing and Xiamen were traced using CO concentration as a tracer. The monthly CO averages at the Beijing site showed a shallow U-type variation. These results indicate that CO can be used to trace CO variations in Chinese cities with CO concentrations above 5 ppm.

摘要

放射性碳 (C) 是量化源自化石燃料的大气 CO(CO)的最准确示踪剂,但测量它既昂贵又耗时。在这里,我们利用中国北京和厦门城市站点在 2014 年获得的半月度样本中,C 示踪的 CO([Formula: see text])与空气污染物之间的线性关系,使用常见的每小时空气质量指数 (AQI) 污染物(AQI、PM、PM 和 CO)间接追踪某些日子的 CO 日变化。我们将这些间接追踪的 CO(CO)浓度与同时进行的 CO 日变化观测所追踪的 [Formula: see text] 浓度进行了验证。对于半月度样本,每个单独的 AQI 污染物与 [Formula: see text] 之间均观察到显著(p < 0.05)的强相关性。AQI 污染物追踪的 CO 日变化总体上与 [Formula: see text] 的趋势相似,在北京采样点的吻合度较高,而在厦门采样点的吻合度相对较低。由于 [Formula: see text] 浓度较低,夏季日变化样本中 AQI 污染物示踪剂的归一化均方根 (NRMS) 误差较高。在去除这些夏季样本后,AQI 污染物示踪剂的 NRMS 误差在 31.6-64.2% 之间。CO 与这些间接示踪剂之间的一致性较高,NRMS 误差较低。基于这些线性关系,利用 CO 浓度作为示踪剂,追踪了北京和厦门采样点的月度 CO 平均值。北京采样点的月度 CO 平均值呈浅 U 型变化。这些结果表明,在 CO 浓度高于 5 ppm 的中国城市中,可以使用 CO 来追踪 CO 的变化。

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本文引用的文献

1
Observations of Atmospheric ΔCO at the Global and Regional Background Sites in China: Implication for Fossil Fuel CO Inputs.中国全球和区域背景站大气 ΔCO 的观测:对化石燃料 CO 输入的启示。
Environ Sci Technol. 2016 Nov 15;50(22):12122-12128. doi: 10.1021/acs.est.6b02814. Epub 2016 Nov 4.
2
Independent evaluation of point source fossil fuel CO2 emissions to better than 10%.对点源化石燃料二氧化碳排放量进行独立评估,使其误差优于10%。
Proc Natl Acad Sci U S A. 2016 Sep 13;113(37):10287-91. doi: 10.1073/pnas.1602824113. Epub 2016 Aug 29.
3
Atmospheric Fossil Fuel CO2 Traced by Δ(14)C in Beijing and Xiamen, China: Temporal Variations, Inland/Coastal Differences and Influencing Factors.
中国北京和厦门大气化石燃料 CO2 的 Δ(14)C 示踪研究:时间变化、内陆/沿海差异及影响因素。
Environ Sci Technol. 2016 Jun 7;50(11):5474-80. doi: 10.1021/acs.est.5b02591. Epub 2016 May 19.
4
The spatial distribution of fossil fuel CO2 traced by Δ(14)C in the leaves of gingko (Ginkgo biloba L.) in Beijing City, China.中国北京市银杏(Ginkgo biloba L.)叶片中由Δ(14)C追踪的化石燃料二氧化碳的空间分布。
Environ Sci Pollut Res Int. 2016 Jan;23(1):556-62. doi: 10.1007/s11356-015-5211-2. Epub 2015 Sep 2.
5
High secondary aerosol contribution to particulate pollution during haze events in China.中国霾事件中二次细粒子气溶胶对颗粒物污染的贡献。
Nature. 2014 Oct 9;514(7521):218-22. doi: 10.1038/nature13774. Epub 2014 Sep 17.
6
Source contributions to carbonaceous species in PM₂.₅ and their uncertainty analysis at typical urban, peri-urban and background sites in southeast China.中国东南部典型城市、城郊和背景站点细颗粒物(PM₂.₅)中碳质物种的来源贡献及其不确定性分析。
Environ Pollut. 2013 Oct;181:107-14. doi: 10.1016/j.envpol.2013.06.006. Epub 2013 Jul 8.
7
Variations of anthropogenic CO2 in urban area deduced by radiocarbon concentration in modern tree rings.通过现代树木年轮中的放射性碳浓度推断城市地区人为二氧化碳的变化。
J Environ Radioact. 2008 Oct;99(10):1558-65. doi: 10.1016/j.jenvrad.2007.12.007. Epub 2008 Feb 12.
8
Radiocarbon observations in atmospheric CO2: determining fossil fuel CO2 over Europe using Jungfraujoch observations as background.大气二氧化碳中的放射性碳观测:以少女峰观测数据为背景确定欧洲的化石燃料二氧化碳排放量。
Sci Total Environ. 2008 Mar 1;391(2-3):211-6. doi: 10.1016/j.scitotenv.2007.10.019. Epub 2007 Nov 26.