Articles | Volume 21, issue 3
https://doi.org/10.5194/acp-21-2003-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-2003-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Feb 2021
Research article |
| 10 Feb 2021
| 10 Feb 2021
Emission inventory of air pollutants and chemical speciation for specific anthropogenic sources based on local measurements in the Yangtze River Delta region, China
Jingyu An
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention,
Department of Environmental Science and Engineering, Fudan University,
Shanghai 200438, China
Yiwei Huang
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Xin Wang
China National Environmental Monitoring Centre, Beijing 100012, China
Rusha Yan
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Qian Wang
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Hongli Wang
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Sheng'ao Jing
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Yan Zhang
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention,
Department of Environmental Science and Engineering, Fudan University,
Shanghai 200438, China
Yiming Liu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention,
Department of Environmental Science and Engineering, Fudan University,
Shanghai 200438, China
Yuan Chen
USC Marshall, University of Southern California, Los Angeles, CA 90089, USA
Chang Xu
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Liping Qiao
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Min Zhou
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Shuhui Zhu
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Qingyao Hu
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Jun Lu
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
Changhong Chen
State Environmental Protection Key Laboratory of the Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai 200233, China
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Haoran Zhang, Nan Li, Keqin Tang, Hong Liao, Chong Shi, Cheng Huang, Hongli Wang, Song Guo, Min Hu, Xinlei Ge, Mindong Chen, Zhenxin Liu, Huan Yu, and Jianlin Hu
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Han Zang, Yue Zhao, Juntao Huo, Qianbiao Zhao, Qingyan Fu, Yusen Duan, Jingyuan Shao, Cheng Huang, Jingyu An, Likun Xue, Ziyue Li, Chenxi Li, and Huayun Xiao
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Particulate nitrate plays an important role in wintertime haze pollution in eastern China, yet quantitative constraints on detailed nitrate formation mechanisms remain limited. Here we quantified the contributions of the heterogeneous N2O5 hydrolysis (66 %) and gas-phase OH + NO2 reaction (32 %) to nitrate formation in this region and identified the atmospheric oxidation capacity (i.e., availability of O3 and OH radicals) as the driving factor of nitrate formation from both processes.
Haichao Wang, Chao Peng, Xuan Wang, Shengrong Lou, Keding Lu, Guicheng Gan, Xiaohong Jia, Xiaorui Chen, Jun Chen, Hongli Wang, Shaojia Fan, Xinming Wang, and Mingjin Tang
Atmos. Chem. Phys., 22, 1845–1859, https://doi.org/10.5194/acp-22-1845-2022, https://doi.org/10.5194/acp-22-1845-2022, 2022
Short summary
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Via combining laboratory and modeling work, we found that heterogeneous reaction of N2O5 with saline mineral dust aerosol could be an important source of tropospheric ClNO2 in inland regions.
Runlong Cai, Yihao Li, Yohann Clément, Dandan Li, Clément Dubois, Marlène Fabre, Laurence Besson, Sebastien Perrier, Christian George, Mikael Ehn, Cheng Huang, Ping Yi, Yingge Ma, and Matthieu Riva
Atmos. Meas. Tech., 14, 2377–2387, https://doi.org/10.5194/amt-14-2377-2021, https://doi.org/10.5194/amt-14-2377-2021, 2021
Short summary
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Orbitool is an open-source software tool, mainly coded in Python, with a graphical user interface (GUI), specifically developed to facilitate the analysis of online Orbitrap mass spectrometric data. It is notably optimized for long-term atmospheric measurements and laboratory studies.
Yarong Peng, Hongli Wang, Qian Wang, Shengao Jing, Jingyu An, Yaqin Gao, Cheng Huang, Rusha Yan, Haixia Dai, Tiantao Cheng, Qiang Zhang, Meng Li, Li Li, Shengrong Lou, Shikang Tao, Qinyao Hu, Jun Lu, and Changhong Chen
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1108, https://doi.org/10.5194/acp-2020-1108, 2020
Revised manuscript not accepted
Short summary
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The evolution of NMHCs emissions and the effectiveness of control measures were investigated based on long term measurements in a megacity of China. Discrepancies between measurements and emission inventories emphasized the need for emission validation both in speciation and sources. Varied trends of NMHCs speciation and sources suggested the differential effect of the past control measures, which provided new insights into future clean air policies in polluted region including China.
Caihong Wu, Chaomin Wang, Sihang Wang, Wenjie Wang, Bin Yuan, Jipeng Qi, Baolin Wang, Hongli Wang, Chen Wang, Wei Song, Xinming Wang, Weiwei Hu, Shengrong Lou, Chenshuo Ye, Yuwen Peng, Zelong Wang, Yibo Huangfu, Yan Xie, Manni Zhu, Junyu Zheng, Xuemei Wang, Bin Jiang, Zhanyi Zhang, and Min Shao
Atmos. Chem. Phys., 20, 14769–14785, https://doi.org/10.5194/acp-20-14769-2020, https://doi.org/10.5194/acp-20-14769-2020, 2020
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Based on measurements from an online mass spectrometer, we quantify volatile organic compound (VOC) concentrations from numerous ions of the mass spectrometer, using information from laboratory-obtained calibration results. We find that most VOC concentrations are from oxygenated VOCs (OVOCs). We further show that these OVOCs also contribute significantly to OH reactivity. Our results suggest the important role of OVOCs in VOC emissions and chemistry in urban air.
Rui Li, Qiongqiong Wang, Xiao He, Shuhui Zhu, Kun Zhang, Yusen Duan, Qingyan Fu, Liping Qiao, Yangjun Wang, Ling Huang, Li Li, and Jian Zhen Yu
Atmos. Chem. Phys., 20, 12047–12061, https://doi.org/10.5194/acp-20-12047-2020, https://doi.org/10.5194/acp-20-12047-2020, 2020
Cited articles
An, J., Huang, Y., Huang, C., Wang, X., Yan, R., Wang, Q., Zhang, Y., Xu, C., Qiao, L., Wang, H., Jing, S., Zhou, M., Zhu, S., Hu, Q., Lu, J., Chen, A. J. Y., and Chen, C.: Emission inventory of air pollutants and chemical speciation for detailed anthropogenic sources based on local measurements in the Yangtze River Delta region, China, Dataset, Figshare, https://doi.org/10.6084/m9.figshare.13340648, 2020.
Cai, S. Y., Ma, Q., Wang, S. X., Zhao, B., Brauer, M., Cohen, A., Marting,
R. V., Zhang, Q. Q., Li, Q. B., Wang, Y. X., Hao, J. M., Frostad, J.,
Forouzanfar, M. H., and Burnettk, R. T.: Impact of air pollution control
policies on future PM2.5 concentrations and their source contributions
in China, J. Environ. Manage., 227, 124–133, 2018.
Carter, W. P. L.: Development of ozone reactivity scales for volatile
organic compounds, J. Air Waste Manage., 44, 881–899, 1994.
Chen, Y.: Study on characteristics ammonia emission from typical large scale
pig farm in Shanghai, Master Thesis, East China University of Science and
Technology, Shanghai China, 73 pp., 2017.
Chen, Y., Fang, X. F., Shen, G. X., Xu, C., Qian, X. Y., Zhao, Z. G., Yu, S.
F., Li, J. W., and Wang, Z. Q.: Research on ammonia emission characteristics
and its influencing factors from paddy fields in Taihu Lake region,
Acta Agriculturae Zhejiangensis, 29, 119–128, 2017.
Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., van Aardenne, J. A., Monni, S., Doering, U., Olivier, J. G. J., Pagliari, V., and Janssens-Maenhout, G.: Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2, Earth Syst. Sci. Data, 10, 1987–2013, https://doi.org/10.5194/essd-10-1987-2018, 2018.
European Environment Agency (EEA): EMEP/EEA air pollution emission inventory
guidebook, available at: http://www.eea.europa.eu/publications/emep-eea-emission-inventory-guidebook-2013 (last access: 15 January 2018), 2013.
Fan, Q. Z., Zhang, Y., Ma, W. C., Ma, H. X., Feng, J. L., Yu, Q., Yang, X.,
Ng, S. K. W., Fu, Q. Y., and Chen, L. M.: Spatial and seasonal dynamics of
ship emissions over the Yangtze River Delta and East China Sea and their
potential environmental influence, Environ. Sci. Technol., 50, 1322–1329,
2016.
Fiore, A. M., Naik, V., Spracklen, D. V., Steiner, A., Unger, N., Prather,
M., Bergmann, D., Cameron-Smith, P. J., Cionni, I., Collins, W. J.,
Dalsøren, S., Eyring, V., Folberth, G. A., Ginoux, P., Horowitz, L. W.,
Josse, B., Lamarque, J., MacKenzie, I. A., Nagashima, T., O'Connor, F. M.,
Righi, M., Rumbold, S. T., Shindell, D. T., Skeie, R. B., Sudo, K., Szopa,
S., Takemurat, T., and Zeng, G.: Global air quality and climate,
Chem. Soc. Rev., 41, 6663–6683, 2012.
Fu, M. L., Ge, Y. S., Tan, J. W., Zeng, T., and Liang, B.: Characteristics
of typical non-road machinery emissions in China by using portable emission
measurement system, Sci. Total Environ., 437, 255–261, 2012.
Fu, M. L., Ding, Y., Yin, H., Ji, Z., Ge, Y. S., and Liang, B.:
Characteristics of agricultural tractors emissions under real-world
operating cycle,
Transactions of the Chinese Society of Agricultural Engineering, 29, 42–48, 2013.
Fu, X., Wang, S. X., Zhao, B., Xing, J., Cheng, Z., Liu, H., and Hao, J. M.:
Emission inventory of primary pollutants and chemical speciation in 2010 for
the Yangtze River Delta region, China, Atmos. Environ., 70, 39–50, 2013.
Gao, Y. Q., Wang, H. L., Xu, R. Z., Jing, S. A., Liu, Y. H., and Peng, Y.
R.: Characterization of volatile organic compounds from cooking emissions,
Huanjing Kexue, 40, 1627–1633, 2019.
Ge, Y. S., Liu, H. K., Ding, Y., Yin, H., Fu, M. L., and Li, J. Q.:
Experimental study on characteristics of emissions and fuel consumption for
combines, Transactions of the Chinese Society of Agricultural Engineering,
29, 41–47, 2013.
Guan, W. J., Zheng, X. Y., Chung, K. F., and Zhong, N. S.: Impact of air
pollution on the burden of chronic respiratory diseases in China: time for
urgent action, Lancet, 388, 1939–1951, 2016.
Guo, Y. Y., Gao, X., Zhu, T. Y., Luo, L., and Zheng, Y.: Chemical profiles
of PM emitted from the iron and steel industry in northern China, Atmos.
Environ., 150, 187–197, 2017.
Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., Bond, T. C., Dawidowski, L., Kholod, N., Kurokawa, J.-I., Li, M., Liu, L., Lu, Z., Moura, M. C. P., O'Rourke, P. R., and Zhang, Q.: Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS), Geosci. Model Dev., 11, 369–408, https://doi.org/10.5194/gmd-11-369-2018, 2018.
Hsu, Y., Divita, F., and Dorn, J.: SPECIATE version 4.4 database development
documentation, final report, US EPA, EPA/600/R-13/307, USA, 21 pp., 2014.
Huang, C., Chen, C. H., Li, L., Cheng, Z., Wang, H. L., Huang, H. Y., Streets, D. G., Wang, Y. J., Zhang, G. F., and Chen, Y. R.: Emission inventory of anthropogenic air pollutants and VOC species in the Yangtze River Delta region, China, Atmos. Chem. Phys., 11, 4105–4120, https://doi.org/10.5194/acp-11-4105-2011, 2011.
Huang, C., Wang, H. L., Li, L., Wang, Q., Lu, Q., de Gouw, J. A., Zhou, M., Jing, S. A., Lu, J., and Chen, C. H.: VOC species and emission inventory from vehicles and their SOA formation potentials estimation in Shanghai, China, Atmos. Chem. Phys., 15, 11081–11096, https://doi.org/10.5194/acp-15-11081-2015, 2015.
Huang, C., Lou, S. R., Qiao, L. P., Jing, S. A., Tao, S. K., Zhou, M., and
Chen, C. H.: Physicochemical characteristics of real-world PM emissions from
heavy-duty diesel buses, Res. Environ. Sci., 29, 1352–1361,
2016.
Huang, C., Tao, S. K., Lou, S. R., Hu, Q. Y., Wang, H. L., Wang, Q., Li, L.,
Wang, H. Y., Liu, J. G., Quan, Y. F., and Zhou, L. L.: Evaluation of
emission factors for light-duty gasoline vehicles based on chassis
dynamometer and tunnel studies in Shanghai, China, Atmos. Environ., 169,
193–203, 2017.
Huang, C., An, J. Y., and Lu, J.: Emission inventory and prediction of
non-road machineries in the Yangtze River Delta region, China, Huanjing
Kexue, 39, 3965–3975, 2018a.
Huang, C., Hu, Q. Y., and Lu, J.: Measurements of OC and EC emission factors
for light-duty gasoline vehicles, Huanjing Kexue, 39, 3110–3117, 2018b.
Huang, C., Hu, Q. Y., Lou, S. R., Tian, J. J., Wang, R. N., Xu, C., An, J.
Y., Ren, H. J., Ma, D., Quan, Y. F., Zhang, Y. J., and Li, L.: Ammonia
emission measurements for light-duty gasoline vehicles in China and
implications for emission modeling, Environ. Sci. Technol., 52,
11223–11231, 2018c.
Huang, C., Hu, Q. Y., Wang, H. Y., Qiao, L. P., Jing, S. A., Wang, H. L.,
Zhou, M., Zhu, S. H., Ma, Y. G., Lou, S. R., Li, L., Tao, S. K., Li, Y. J.,
and Lou, D. M.: Emission factors of particulate and gaseous compounds from a
large cargo vessel operated under real-world conditions, Environ. Pollut.,
242, 667–674, 2018d.
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Dentener, F., Muntean, M., Pouliot, G., Keating, T., Zhang, Q., Kurokawa, J., Wankmüller, R., Denier van der Gon, H., Kuenen, J. J. P., Klimont, Z., Frost, G., Darras, S., Koffi, B., and Li, M.: HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution, Atmos. Chem. Phys., 15, 11411–11432, https://doi.org/10.5194/acp-15-11411-2015, 2015.
Klimont, Z., Kupiainen, K., Heyes, C., Purohit, P., Cofala, J., Rafaj, P., Borken-Kleefeld, J., and Schöpp, W.: Global anthropogenic emissions of particulate matter including black carbon, Atmos. Chem. Phys., 17, 8681–8723, https://doi.org/10.5194/acp-17-8681-2017, 2017.
Li, L., An, J. Y., Zhou, M., Qiao, L. P., Zhu, S. H., Yan, R. S., Ooi, C.
G., Wang, H. L., Huang, C., Huang, L., Tao, S. K., Yu, J. Z., Chan, A.,
Wang, Y. J., Feng, J. L., and Chen, C. H.: An integrated source apportionment
methodology and its application over the Yangtze River Delta region, China,
Environ. Sci. Technol., 52, 14216–14227, 2018.
Li, L., An, J. Y., Huang, L., Yan, R. S., Huang, C., and Yarwood, G.: Ozone
source apportionment over the Yangtze River Delta region, China:
Investigation of regional transport, sectoral contributions and seasonal
differences, Atmos. Environ., 202, 269–280, 2019.
Li, M., Zhang, Q., Streets, D. G., He, K. B., Cheng, Y. F., Emmons, L. K., Huo, H., Kang, S. C., Lu, Z., Shao, M., Su, H., Yu, X., and Zhang, Y.: Mapping Asian anthropogenic emissions of non-methane volatile organic compounds to multiple chemical mechanisms, Atmos. Chem. Phys., 14, 5617–5638, https://doi.org/10.5194/acp-14-5617-2014, 2014.
Li, Z., Zhang, K. S., Pang, K. L., and Di, B. F.: A fuel-based approach for
emission factor development for highway paving construction equipment in
China, J. Air Waste Manage., 66, 1214–1223, 2016.
Liang, C. S., Duan, F. Q., He, K. B., and Ma, Y. L.: Review on recent
progress in observations, source identifications and countermeasures of
PM2.5, Environ. Int., 86, 150–170, 2016.
Lou, S. R.: Emission characteristics of PM2.5 from medium and small
capacity coal-fired boilers in service, Acta Scientiae Circumstantiae, 34,
3119–3125, 2014.
Ministry of Environmental Protection (MEP), P. R. of China: Guidebooks for
compiling air pollution emission inventories, available at: http://www.mee.gov.cn/gkml/hbb/bgg/201408/t20140828_288364.htm, last access: 20 August 2014.
Monks, P. S., Granier, C., Fuzzi, S., Stohl, A., Williams, M. L., Akimoto,
H., Amann, M., Baklanov, A., Baltensperger, U., Bey, I., Blake, N., Blake,
R. S., Carslaw, K., Cooper, O. R., Dentener, F., Fowler, D., Fragkou, E.,
Frost, G. J., Generoso, S., Ginoux, P., Grewe, V., Guenther, A., Hansson, H.
C., Henne, S., Hjorth, J., Hofzumahaus, A., Huntrieser, H., Isaksen, I. S.
A., Jenkin, M. E., Kaiser, J., Kanakidou, M., Klimont, Z., Kulmala, M., Laj,
P., Lawrence, M. G., Lee, J. D., Liousse, C., Maione, M., McFiggans, G.,
Metzger, A., Mieville, A., Moussiopoulos, N., Orlando, J. J., O'Dowd, C. D.,
Palmer, P. I., Parrish, D. D., Petzold, A., Platt, U., Pöschl, U.,
Prévôt, A. S. H., Reeves, C. E., Reimann, S., Rudich, Y., Sellegri,
K., Steinbrecher, R., Simpson, D., ten Brink, H., Theloke, J., van der Werf,
G. R., Vautard, R., Vestreng, V., Vlachokostas, C., and von Glasow, R.:
Atmospheric composition change – global and regional air quality, Atmos.
Environ., 43, 5268–5350, 2009.
National Bureau of Statistics of China: China Statistical Yearbook 2018,
China Statistics Press, Beijing, China, 949 pp., 2018.
Ni, Z.-Z., Luo, K., Gao, Y., Gao, X., Jiang, F., Huang, C., Fan, J.-R., Fu, J. S., and Chen, C.-H.: Spatial–temporal variations and process analysis of O3 pollution in Hangzhou during the G20 summit, Atmos. Chem. Phys., 20, 5963–5976, https://doi.org/10.5194/acp-20-5963-2020, 2020.
Qiao, L. P., Cai, J., Wang, H. L., Wang, W. B., Zhou, M., Lou, S. R., Chen,
R. J., Dai, H. X., Chen, C. H., and Kan, H. D.: PM2.5 constituents and
hospital emergency-room visits in Shanghai, China, Environ. Sci. Technol.,
48, 10406–10414, 2014.
Qu, L., He, L. Q., Hu, J. N., Jin, T. S., Zu, L., Wang, M. Y., and Song, J.
H.: Characteristics of PM2.5 emissions and its carbonaceous components
from construction machines under different typical driving modes, Res. Environ. Sci., 28, 1047–1052, 2015.
Reff, A., Bhave, P. V., Simon, H., Pace, T. G., Pouliot, G. A., Mobley, J.
D., and Houyoux, M.: Emissions inventory of PM2.5 trace elements across
the United States, Environ. Sci. Technol., 43, 5790–5796, 2009.
Requia, W. J., Adams, M. D., Arain, A., Papatheodorou, S., Koutrakis, P.,
and Mahmoud, M.: Global association of air pollution and cardiorespiratory
diseases: a systematic review, meta-Analysis, and investigation of modifier
variables, Am. J. Public Health, 108, S123–S130, 2018.
Sha, T., Ma, X. Y., Jia, H. L., van der A, R. J., Ding, J. Y., Zhang, Y. L.,
and Chang, Y. H.: Exploring the influence of two inventories on simulated air
pollutants during winter over the Yangtze River Delta, Atmos. Environ., 206,
170–182, 2019.
Simayi, M., Hao, Y. F., Li, J., Wu, R. R., Shi, Y. Q., Xi, Z. Y., Zhou, Y.,
and Xie, S. D.: Establishment of county-level emission inventory for industrial
NMVOCs in China and spatial-temporal characteristics for 2010–2016, Atmos.
Environ., 211, 194–203, 2019.
Simon, H., Beck, L., Bhave, P. V., Divita, F., Hsu, Y., Luecken, D., Mobley, J. D., Pouliot, G. A., Reff, A., Sarwar, A., and Strum, M.: The development and uses of EPA's SPECIATE database, Atmos. Pollut. Res., 1, 196–206, 2010.
Song, C. B., Ma, C., Zhang, Y. J., Wang, T., Wu, L., Wang, P., Liu, Y., Li,
Q., Zhang, J. S., Dai, Q. L., Zou, C., Sun, L. N., and Mao, H. J.: Heavy-duty
diesel vehicles dominate vehicle emissions in a tunnel study in northern
China, Sci. Total Environ., 637–638, 431–442, 2018.
Stroud, C. A., Makar, P. A., Zhang, J., Moran, M. D., Akingunola, A., Li, S.-M., Leithead, A., Hayden, K., and Siu, M.: Improving air quality model predictions of organic species using measurement-derived organic gaseous and particle emissions in a petrochemical-dominated region, Atmos. Chem. Phys., 18, 13531–13545, https://doi.org/10.5194/acp-18-13531-2018, 2018.
Sun, X. W., Shao, M., Granier, C., Liu, Y., Ye, C. S., and Zheng, J. Y.: Long-Term
trends of anthropogenic SO2, NOx, CO, and NMVOCs emissions in
China, Earth's Future, 6, 1112–1133, 2018a.
Sun, X. W., Cheng, S. Y., Lang, J. L., Ren, Z. H., and Sun, C.: Development of emissions inventory and identification of sources for priority control in
the middle reaches of Yangtze River Urban Agglomerations, Sci. Total
Environ., 625, 155–167, 2018b.
Sun, Y. Y.: Study on emission inventory and uncertainty assessment of
multi-pollutants from coal-fired power plants, Master thesis, Zhejiang
University, Hangzhou, China, 73 pp., 2015.
Tang, X. B., Huang, C., Lou, S. R., Qiao, L. P., Wang, H. L., Zhou, M.,
Chen, M. H., Chen, C. H., Wang, Q., Li, G. L., Li, L., Huang, H. Y., and
Zhang, G. F.: Emission factors and PM chemical composition study of biomass
burning in the Yangtze River Delta Region, Huanjing Kexue, 35, 1623–1632,
2014.
US Environmental Protection Agency (USEPA): Compilation of air pollutant
emission Factors, AP-42, 5th Edn., available at: https://www.epa.gov/air-emissions-factors-and-quantification/ap-42-compilation-air-emissions-factors (9 February 2021), 2002.
US Environmental Protection Agency (USEPA): Exhaust and crankcase emission
factors for non-road engine modeling-compression ignition, Washington DC, 26 pp.,
2010.
Wang, H. L., Lou, S. R., Huang, C., Qiao, L. P., Tang, X. B., Chen, C. H.,
Zeng, L. M., Wang, Q., Zhou, M., Lu, S. H., and Xu, X. N.: Source profiles
of volatile organic compounds from biomass burning in Yangtze River Delta,
China, Aerosol Air. Qual. Res., 14, 818–828, 2014a.
Wang, H. L., Qiao, Y. Z., Chen, C. H., Lu, J., Dai, H. X., Qiao, L. P., Lou,
S. R., Huang, C., Li, L., Jing, S. A., and Wu, J. P.: Source profiles and
chemical reactivity of volatile organic compounds from solvent use in
Shanghai, China, Aerosol Air. Qual. Res., 14, 301–310, 2014b.
Wang, H. L., Jing, S. A., Wang, Q., Huang, C., Lou, S. R., Qiao, L. P., and
Li, L.: Measurement and characterization of emissions of volatile organic
compounds in solvent use, Res. Environ. Sci., 29,
1433–1439, 2016.
Wang, H. L., Yang, Z. X., and Jing, S. A.: Volatile organic compounds (VOCs) source profiles of industrial processing and solvent use emissions: a
review, Huanjing Kexue, 38, 2617–2628, 2017a.
Wang, H. L., Jing, S. A., Lou, S. R., Hu, Q. Y., Li, L., Tao, S. K., Huang,
C., Qiao, L. P., and Chen, C. H.: Volatile organic compounds (VOCs) source
profiles of on-road vehicle emissions in China, Sci. Total Environ.,
607–608, 253–261, 2017b.
Wang, H. L., Jing, S. A., Lou, S. R., Tao, S. K., Qiao, L. P., Li, L.,
Huang, C., Lin, L., and Chen, C. H.: Estimation of fine particle
(PM2.5) emission inventory from cooking: case study for Shanghai,
Huanjing Kexue, 39, 1971–1977, 2018.
Wang, J. D., Zhao, B., Wang, S. X., Yang, F. M., Xing, J., Morawska, L.,
Ding, A. J., Kulmala, M., Kerminen, V., Kujansuu, J., Wang, Z. F., Ding, D.,
Zhang, X. Y., Wang, H. B., Tian, M., Petäjä, T., Jiang, J. K., and
Hao, J. M.: Particulate matter pollution over China and the effects of
control policies, Sci. Total Environ., 584–585, 426–447, 2017.
Wang, P., Ying, Q., Zhang, H. L., Hu, J. L., Lin, Y. C., and Mao, H. J.:
Source apportionment of secondary organic aerosol in China using a regional
source-oriented chemical transport model and two emission inventories,
Environ. Pollut., 237, 756–766, 2018.
Wang, R. N., Huang, C., Ren, H. J., Yan, R. S., Hong, Z., Xu, C., Hu, Q. Y.,
An, J. Y., Dong, B. N., and Li, L.: Air pollutant emission inventory from
LTO cycles of aircraft in civil aviation airports in the Yangtze River Delta
region, China, Acta Scientiae Circumstantiae, 38, 4472–4479, 2018.
Wang, S., Zhu, F. H., Wang, H. M., Zuo, Y., Sun, X. L., Zhao, X. Y., Chen,
H., and Liu, G.: Fine particle emission characteristics from coal-fired
power plants based on field test, Acta Scientiae Circumstantiae, 31,
630–635, 2011.
Wayson, R. L., Fleming, G. G., and Lovinelli, R.: Methodology to estimate
particulate matter emissions from certified commercial aircraft engines,
J. Air Waste Manage., 59, 91–100, 2009.
Wen, Y. F., Wang, H., Larson, T., Kelp, M., Zhang, S. J., Wu, Y., and Marshall, J. D.: On-highway vehicle emission factors, and spatial patterns, based on
mobile monitoring and absolute principal component score, Sci. Total
Environ., 676, 242–251, 2019.
Wu, R. L., Liu, F., Tong, D., Zheng, Y. X., Lei, Y., Hong, C. P., Li, M.,
Liu, J., Zheng, B., Bo, Y., Chen, X. T., Li, X., and Zhang, Q.: Air quality and
health benefits of China's emission control policies on coal-fired power
plants during 2005–2020, Environ. Res. Lett., 14, 094016, https://doi.org/10.1088/1748-9326/ab3bae, 2019.
Wu, R. R. and Xie, S. D.: Spatial distribution of ozone formation in China
derived from emissions of speciated volatile organic compounds, Environ.
Sci. Technol., 52, 8146–8156, 2018a.
Wu, R. R. and Xie, S. D.: Spatial distribution of secondary organic aerosol
formation potential in China derived from speciated anthropogenic volatile
organic compound emissions, Environ. Sci. Technol., 52, 8146–8156, 2018b.
Wu, Y., Zhang, S. J., Li, M. L., Ge, Y. S., Shu, J. W., Zhou, Y., Xu, Y. Y., Hu, J. N., Liu, H., Fu, L. X., He, K. B., and Hao, J. M.: The challenge to NOx emission control for heavy-duty diesel vehicles in China, Atmos. Chem. Phys., 12, 9365–9379, https://doi.org/10.5194/acp-12-9365-2012, 2012.
Xia, Y., Yang, Q., Xu, C., Lu, B., Tang, W., Jing, B. L., Lu, Q., Huang, C.,
and Lu, J.: Study on high resolution NH3 emission inventory based on
analysis of large data for agriculture in Hangzhou, Acta Scientiae
Circumstantiae, 38, 661–668, 2018.
Xu, J., Huang, C., Li, L., Chen, Y. H., Lou, S. R., Qiao, L. P., and Wang,
H. Y.: Chemical composition characteristics of PM2.5 emitted by medium
and small capacity coal-fired boilers in the Yangtze River Delta Region,
Huanjing Kexue, 39, 1493–1501, 2018.
Yang, Q., Huang, C., Lu, B., Jing, B. L., Xia, Y., Tang, W., Lu, Q., Lu, J.,
Xu, C., and Gu, Z. Y.: Air pollutant emission inventory based on local emission
source surveys in Hangzhou, China, Acta Scientiae Circumstantiae, 37,
3240–3254, 2017.
Yang, Y. and Zhao, Y.: Quantification and evaluation of atmospheric pollutant emissions from open biomass burning with multiple methods: a case study for the Yangtze River Delta region, China, Atmos. Chem. Phys., 19, 327–348, https://doi.org/10.5194/acp-19-327-2019, 2019.
Yao, Z. M., Teng, Y., Li, J., Wu, X. F., and Duan, N.: NOx emission
factors from medium and small layer burning boilers firing soft coal,
Res. Environ. Sci., 22, 1263–1268, 2009.
Ying, Q., Feng, M., Song, D. L., Wu, L., Hu, J. L., Zhang, H. L., Kleeman,
M. J., and Li, X. H.: Improve regional distribution and source apportionment
of PM2.5 trace elements in China using inventory-observation
constrained emission factors, Sci. Total Environ., 624, 355–365, 2018.
Zhang, J., Liu, L., Zhao, Y., Li, H., Lian, Y., Zhang, Z., Huang, C., and
Du, X.: Development of a high-resolution emission inventory of agricultural
machinery with a novel methodology: A case study for Yangtze River Delta
region, Environ. Pollut., 266, 115075, https://doi.org/10.1016/j.envpol.2020.115075, 2020.
Zhang, S. J., Wu, Y., Zhao, B., Wu, X. M., Shu, J. W., and Hao, J. M.:
City-specific vehicle emission control strategies to achieve stringent
emission reduction targets in China's Yangtze River Delta region, J.
Environ. Sci., 51, 75–87, 2017.
Zhang, X. M., Wu, Y. Y., Liu, X. J., Reis, S., Jin, J. X., Dragosits, U.,
van Damme, M., Clarisse, L., Whitburn, S., Coheur, P., and Gu, B. J.: Ammonia
emissions may be substantially underestimated in China, Environ. Sci.
Technol., 51, 12089–12096, 2017.
Zhang, Y., Bo, X., Zhao, Y., and Nielsen, C. P.: Benefits of current and future
policies on emissions of China's coalfired power sector indicated by
continuous emission monitoring, Environ. Pollut., 251, 415–424, 2019.
Zhao, Y., Wang, S. X., Nielsen, C. P., Li, X. H., and Hao, J. M.:
Establishment of a database of emission factors for atmospheric pollutants
from Chinese coal-fired power plants, Atmos. Environ., 44, 1515–1523, 2010.
Zhao, Y., Qiu, L. P., Xu, R. Y., Xie, F. J., Zhang, Q., Yu, Y. Y., Nielsen, C. P., Qin, H. X., Wang, H. K., Wu, X. C., Li, W. Q., and Zhang, J.: Advantages of a city-scale emission inventory for urban air quality research and policy: the case of Nanjing, a typical industrial city in the Yangtze River Delta, China, Atmos. Chem. Phys., 15, 12623–12644, https://doi.org/10.5194/acp-15-12623-2015, 2015.
Zhao, Y., Mao, P., Zhou, Y., Yang, Y., Zhang, J., Wang, S., Dong, Y., Xie, F., Yu, Y., and Li, W.: Improved provincial emission inventory and speciation profiles of anthropogenic non-methane volatile organic compounds: a case study for Jiangsu, China, Atmos. Chem. Phys., 17, 7733–7756, https://doi.org/10.5194/acp-17-7733-2017, 2017.
Zhao, Y., Xia, Y. M., Zhou, Y. D.: Assessment of a high-resolution NOx
emission inventory using satellite observations: A case study of southern
Jiangsu, China, Atmos. Environ., 190, 135–145, 2018.
Zhao, Y., Yuan, M., Huang, X., Chen, F., and Zhang, J.: Quantification and evaluation of atmospheric ammonia emissions with different methods: a case study for the Yangtze River Delta region, China, Atmos. Chem. Phys., 20, 4275–4294, https://doi.org/10.5194/acp-20-4275-2020, 2020.
Zheng, B., Zhang, Q., Tong, D., Chen, C., Hong, C., Li, M., Geng, G., Lei, Y., Huo, H., and He, K.: Resolution dependence of uncertainties in gridded emission inventories: a case study in Hebei, China, Atmos. Chem. Phys., 17, 921–933, https://doi.org/10.5194/acp-17-921-2017, 2017.
Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X., Peng, L., Qi, J., Yan, L., Zhang, Y., Zhao, H., Zheng, Y., He, K., and Zhang, Q.: Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions, Atmos. Chem. Phys., 18, 14095–14111, https://doi.org/10.5194/acp-18-14095-2018, 2018.
Zheng, H., Cai, S., Wang, S., Zhao, B., Chang, X., and Hao, J.: Development of a unit-based industrial emission inventory in the Beijing–Tianjin–Hebei region and resulting improvement in air quality modeling, Atmos. Chem. Phys., 19, 3447–3462, https://doi.org/10.5194/acp-19-3447-2019, 2019.
Zheng, J. J., Jiang, P., Qiao, W., Zhu, Y., and Kennedy, E.: Analysis of air
pollution reduction and climate change mitigation in the industry sector of
Yangtze River Delta in China, J. Clean. Prod., 114, 314–322, 2016.
Zheng, M., Zhang, Y. J., Yan, C. Q., Fu, H. Y., Niu, H. Y., Huang, K., Hu,
M., Zeng, L. M., Liu, Q. Z., Pei, B., and Fu, Q. Y.: Establishing PM2.5
industrial source profiles in Shanghai, China Environmental Science, 33,
1354–1359, 2013.
Zhou, Y., Zhao, Y., Mao, P., Zhang, Q., Zhang, J., Qiu, L., and Yang, Y.: Development of a high-resolution emission inventory and its evaluation and application through air quality modeling for Jiangsu Province, China, Atmos. Chem. Phys., 17, 211–233, https://doi.org/10.5194/acp-17-211-2017, 2017.
Zhou, Z. Q.: Study on characteristics ammonia emission from typical large
scale dairy cow farm in Shanghai, Master Thesis, East China University of
Science and Technology, Shanghai, China, 76 pp., 2019.
Short summary
This study established a 4 km × 4 km anthropogenic emission inventory in the Yangtze River Delta region, China, for 2017 based on locally measured emission factors and source profiles. There are high-intensity NOx and NMVOC species emissions in the eastern areas of the region. Toluene, 1,2,4-trimethylbenzene, m,p-xylene, propylene, ethylene, o-xylene, and OVOCs from industry and mobile sources have the highest comprehensive potentials for ozone and secondary organic aerosol formation.
This study established a 4 km × 4 km anthropogenic emission inventory in the Yangtze River...
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