Abstract
The need for atmospheric carbon dioxide (CO2) reduction in the context of global warming is widely acknowledged by the global scientific community. Fossil fuel CO2 (CO2ff) emissions occur mainly in cities, and can be monitored directly with radiocarbon (14C). In this research, annual plants [Setaria viridis (L.) Beauv.] were collected from 26 sites in 2013 and 2014 in the central urban district of Xi’an City. The Δ14C content of the samples were analyzed using a 3 MV Accelerator Mass Spectrometer, and CO2ff concentrations were calculated based on mass balance equations. The results showed that the CO2ff mixing ratio ranged from 15.9 to 25.0 ppm (part per million, equivalent to µmol mol−1), with an average of 20.5 ppm in 2013. The range of measured values became larger in 2014, from 13.9 ppm to 33.1 ppm, with an average of 23.5 ppm. The differences among the average CO2ff concentrations between the central area and outer urban areas were not statistically significant. Although the year-to-year variation of the CO2ff concentration was significant (P < 0.01), there was a distinctly low CO2ff value observed in the northeast corner of the city. CO2ff emissions from vehicle exhaust and residential sources appeared to be more significant than two thermal power plants, according to our observed CO2ff spatial distribution. The variation of pollution source transport recorded in our observations was likely controlled by southwesterly winds. These results could assist in the optimal placement of regional CO2 monitoring stations, and benefit the local government in the implementation of efficient carbon emission reduction measures.
摘要
由全球变暖引发的一系列环境、生态问题日益凸显, 为了应对气候变化, 碳减排已成为全球共识. 城市是化石源二氧化碳(CO2ff)排放的主要区域, 也是碳减排的关键区域, 又是14C示踪大气CO2ff研究的热点区域. 本文以西安为研究对象, 分别于2013年和2014年在西安中心城区采集了26个地点的狗尾草【Setaria viridis (L.) Beauv.)】样品, 利用3MV加速器质谱仪(AMS)测定其Δ14C, 再根据质量平衡方程获得大气CO2ff浓度. 结果表明:2013年西安中心城区大气CO2ff浓度变化范围为15.9-25.0 ppm (part per million, 相当于μmol/mol), 平均值为20.5ppm;2014年, CO2ff波动浓度有所增大, 为13.9-33.1ppm, 平均值升至23.5ppm;环城路以内、环城路-二环及二环-绕城高速三个区域内CO2ff平均浓度没有显著差异;CO2ff的年际变化差异显著(P<0.01), 但市区东北角CO2ff浓度始终处于较低水平. 进一步分析了各种CO2ff排放源及气象条件的影响, 发现机动车尾气和居民生活排放对CO2ff浓度空间分布影响较市区的两座热电厂大, 而中心城区CO2ff污染来源的变化很可能受控于西南风. 我们的观测结果将有助于区域CO–2观测站点分布的优化和当地政府部门碳减排政策的有效实施.
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References
Andres, R. J., and Coauthors, 2012: A synthesis of carbon dioxide emissions from fossil-fuel combustion. Biogeosciences, 9(5), 1845–1871, https://doi.org/10.5194/bg-9-1845-2012.
Beramendi-Orosco, L., and Coauthors, 2015: Temporal and spatial variations of atmospheric radiocarbon in the Mexico City metropolitan area. Radiocarbon, 57(3), 363–375, https://doi.org/10.2458/azu_rc.57.18360.
Bozhinova, D., M. Combe, S. W. L. Palstra, H. A. J. Meijer, M. C. Krol, and W. Peters, 2013: The importance of crop growth modeling to interpret the Δ14CO2 signature of annual plants. Global Biogeochemical Cycles, 27(3), 792–803, https://doi.org/10.1002/gbc.20065.
Bozhinova, D., S. W. L. Palstra, M. K. van der Molen, M. C. Krol, H. A. J. Meijer, and W. Peters, 2016: Three years of Δ14CO2 observations from maize leaves in the Netherlands and Western Europe. Radiocarbon, 58(3), 459–478, https://doi.org/10.1017/RDC.2016.20.
Buchwitz, M., and Coauthors, 2017: Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set. Remote Sensing of Environment, 203, 276–295, https://doi.org/10.1016/j.rse.2016.12.027.
Djuricin, S., X. M. Xu, and D. E. Pataki, 2012: The radiocarbon composition of tree rings as a tracer of local fossil fuel emissions in the Los Angeles basin: 1980–2008. J. Geophys. Res., 117(D12), D12302, https://doi.org/10.1029/2011D017284.
Guo, W., Y. Cheng, W. Fan, N. Wang, and B. Xiao, 2014: Characteristics and affecting factors of atmospheric pollutants in Xi’an. Journal of Earth Environment, 5(4), 235–242, https://doi.org/10.7515/JEE201404001.(in Chinese with English abstract). (in Chinese with English abstract)
Gurney, K. R., D. L. Mendoza, Y. Y. Zhou, M. L. Fischer, C. C. Miller, S. Geethakumar, and S. de la Rue du Can, 2009: High resolution fossil fuel combustion CO2 emission fluxes for the United States. Environmental Science & Technology, 43(14), 5535–5541, https://doi.org/10.1021/es900806c.
Hammer, S., and I. Levin, 2017: Monthly mean atmospheric D14CO2 at Jungfraujoch and Schauinsland from 1986 to 2016. Tellus B, 65, 20092, https://doi.org/10.11588/data/10100.
Hoornweg, D., L. Sugar, and C. L. Trejos Gomez, 2011: Cities and greenhouse gas emissions: Moving forward. Environment and Urbanization, 23(1), 207–227, https://doi.org/10.1177/0956247810392270.
Hsueh, D. Y., N. Y. Krakauer, J. T. Randerson, X. M. Xu, S. E. Trumbore, and J. R. Southon, 2007: Regional patterns of radiocarbon and fossil fuel-derived CO2 in surface air across North America. Geophys. Res. Lett., 34(2), L02816, https://doi.org/10.1029/2006GL027032.
IPCC, 2006: 2006 IPCC Guidelines for National Greenhouse Gas Inventories. IPCC, 1989 pp.
IPCC, 2018: Summary for policymakers. Global Warming of 1.5°C. An IPCC Special Report on the Impacts of Global Warming of 1.5°C Above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty, V. Masson-Delmotte et al., Eds., World Meteorological Organization, 32 pp.
Levin, I., B. Kromer, M. Schmidt, and H. Sartorius, 2003: A novel approach for independent budgeting of fossil fuel CO2 over Europe by 14CO2 observations. Geophys. Res. Lett., 30(23), 2194, https://doi.org/10.1029/2003GL018477.
Lichtfouse, E., M. Lichtfouse, M. Kashgarian, and R. Bol, 2005: 14C of grasses as an indicator of fossil fuel CO2 pollution. Environmental Chemistry Letters, 3(2), 78–81, https://doi.org/10.1007/s10311-005-0100-4.
Liu, Z., and Coauthors, 2015: Reduced carbon emission estimates from fossil fuel combustion and cement production in China. Nature, 524, 335–338, https://doi.org/10.1038/nature14677.
Mi, R. H., and Y. Shi, 2014: Identifying method of CBD and sub-CBD based on the distribution of resident population—A case study of Xi’an City. Journal of Shaanxi Normal University (Natural Science Edition), 42(3), 97–102, https://doi.org/10.15983/j.cnki.jsnu.2014.03.022. (in Chinese with English abstract)
Nisbet, E., and R. Weiss, 2010: Top-down versus bottom-up. Science, 328(5983), 1241–1243, https://doi.org/10.1126/science.1189936.
Niu, Z. C., and Coauthors, 2016: The spatial distribution of fossil fuel CO2 traced by Δ14C in the leaves of gingko (Ginkgo biloba L) in Beijing City, China. Environmental Science and Pollution Research, 23(1), 556–562, https://doi.org/10.1007/s11356-015-5211-2.
Peylin, P., and Coauthors, 2011: Importance of fossil fuel emission uncertainties over Europe for CO2 modeling: Model inter-comparison. Atmospheric Chemistry and Physics, 11(13), 6607–6622, https://doi.org/10.5194/acp-11-6607-2011.
Riley, W. J., D. Y. Hsueh, J. T. Randerson, M. L. Fischer, J. G. Hatch, D. E. Pataki, W. Wang, and M. L. Goulden, 2008: Where do fossil fuel carbon dioxide emissions from California go? An analysis based on radiocarbon observations and an atmospheric transport model. J. Geophys. Res., 1133, G04002, https://doi.org/10.1029/2007JG000625.
Rosenzweig, C., W. Solecki, S. A. Hammer, and S. Mehrotra, 2010: Cities lead the way in climate-change action. Nature, 467(7318), 909–911, https://doi.org/10.1038/467909a.
Stuiver, M., and H. A. Polach, 1977: Discussion reporting of 14C data. Radiocarbon, 19(3), 355–363, https://doi.org/10.1017/S0033822200003672.
Tans, P., and R. Keeling, 2019: Open Access Data Source. [Available online from ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_mm_mlo.txt]
Turnbull, J. C., and Coauthors, 2011: Assessment of fossil fuel carbon dioxide and other anthropogenic trace gas emissions from airborne measurements over Sacramento, California in spring 2009. Atmospheric Chemistry and Physics, 11(2), 705–721, https://doi.org/10.5194/acp-11-705-2011.
Turnbull, J. C., and Coauthors, 2015: Toward quantification and source sector identification of fossil fuel CO2 emissions from an urban area: Results from the INFLUX experiment. J. Geophys. Res., 120(1), 292–312, https://doi.org/10.1002/2014JD022555.
Turnbull, J. C., E. D. Keller, T. Baisden, G. Brailsford, T. Bromley, M. Norris, and A. Zondervan, 2014: Atmospheric measurement of point source fossil CO2 emissions. Atmospheric Chemistry and Physics, 14(10), 5001–5014, https://doi.org/10.5194/acp-14-5001-2014.
Turnbull, J. C., E. D. Keller, M. W. Norris, and R. M. Wiltshire, 2016: Independent evaluation of point source fossil fuel CO2 emissions to better than 10%. Proceedings of the National Academy of Sciences of the United States of America, 113(37), 10 287–10 291, https://doi.org/10.1073/pnas.1602824113.
WMO, 2018: WMO Greenhouse Gas Bulletin. [Available online from https://www.met.ie/cms/assets/uploads/2018/11/ghgbulletin_14_en.pdf]
Xi, X. T., X. F. Ding, D. P. Fu, L. P. Zhou, and K. X. Liu, 2011: Regional Δ14C patterns and fossil fuel derived CO2 distribution in the Beijing area using annual plants. Chinese Science Bulletin, 56(16), 1721–1726, https://doi.org/10.1007/s11434-011-4453-8.
Xi, X. T., X. F. Ding, D. P. Fu, L. P. Zhou, and K. X. Liu, 2013: Δ14C level of annual plants and fossil fuel derived CO2 distribution across different regions of China. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 294, 515–519, https://doi.org/10.1016/j.nimb.2012.08.032.
Zhang, Y. L., 2013: The research about Xi’an concentrated heating flue gas emission and diffusion. M.S. thesis, Chang’an University, 69 pp. (in Chinese with English abstract)
Zhou, W. J., S. G. Wu, W. W. Huo, X. H. Xiong, P. Cheng, X. F. Lu, X., and Z. C. Niu, 2014: Tracing fossil fuel CO2 using Δ14C in Xi’an City, China. Atmospheric Environment, 94, 538–545, https://doi.org/10.1016/j.atmosenv.2014.05.058.
Acknowledgments
The authors would like to thank the anonymous reviewers and Dr. George S. BURR for their helpful comments. This work was jointly supported by the National Natural Science Foundation of China (Grant No. NSFC41730108, 41773141, 41573136, and 41991250), National Research Program for Key Issues in Air Pollution Control (Grant No. DQGG0105-02), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA23010302), the Youth Innovation Promotion Association CAS (Grant No.2016360) and the Natural Science Basic Research Program of Shaanxi (Program No. 2019JCW-20).
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Article Highlights
• The spatial distribution of CO2ff indicated by plant Δ14C measurements in Xi’an is presented.
• The year-to-year variation of CO2ff from different sites in Xi’an was significant.
• The northeast corner of Xi’an central area featured distinctly lower CO2ff values.
• Vehicle exhaust emissions and residential emissions appeared to control the spatial differences.
• Weather conditions (wind direction in particular) also influenced regional temporal CO2ff variations.
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Xiong, X., Zhou, W., Wu, S. et al. Two-Year Observation of Fossil Fuel Carbon Dioxide Spatial Distribution in Xi’an City. Adv. Atmos. Sci. 37, 569–575 (2020). https://doi.org/10.1007/s00376-020-9241-4
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DOI: https://doi.org/10.1007/s00376-020-9241-4