Articles | Volume 15, issue 17
https://doi.org/10.5194/acp-15-10127-2015
https://doi.org/10.5194/acp-15-10127-2015
Research article
 | 
09 Sep 2015
Research article |  | 09 Sep 2015

Quantitative assessment of atmospheric emissions of toxic heavy metals from anthropogenic sources in China: historical trend, spatial distribution, uncertainties, and control policies

H. Z. Tian, C. Y. Zhu, J. J. Gao, K. Cheng, J. M. Hao, K. Wang, S. B. Hua, Y. Wang, and J. R. Zhou

Related authors

Measurement report: Ambient volatile organic compound (VOC) pollution in urban Beijing: characteristics, sources, and implications for pollution control
Lulu Cui, Di Wu, Shuxiao Wang, Qingcheng Xu, Ruolan Hu, and Jiming Hao
Atmos. Chem. Phys., 22, 11931–11944, https://doi.org/10.5194/acp-22-11931-2022,https://doi.org/10.5194/acp-22-11931-2022, 2022
Short summary
An interlaboratory comparison of aerosol inorganic ion measurements by ion chromatography: implications for aerosol pH estimate
Jingsha Xu, Shaojie Song, Roy M. Harrison, Congbo Song, Lianfang Wei, Qiang Zhang, Yele Sun, Lu Lei, Chao Zhang, Xiaohong Yao, Dihui Chen, Weijun Li, Miaomiao Wu, Hezhong Tian, Lining Luo, Shengrui Tong, Weiran Li, Junling Wang, Guoliang Shi, Yanqi Huangfu, Yingze Tian, Baozhu Ge, Shaoli Su, Chao Peng, Yang Chen, Fumo Yang, Aleksandra Mihajlidi-Zelić, Dragana Đorđević, Stefan J. Swift, Imogen Andrews, Jacqueline F. Hamilton, Ye Sun, Agung Kramawijaya, Jinxiu Han, Supattarachai Saksakulkrai, Clarissa Baldo, Siqi Hou, Feixue Zheng, Kaspar R. Daellenbach, Chao Yan, Yongchun Liu, Markku Kulmala, Pingqing Fu, and Zongbo Shi
Atmos. Meas. Tech., 13, 6325–6341, https://doi.org/10.5194/amt-13-6325-2020,https://doi.org/10.5194/amt-13-6325-2020, 2020
Short summary
Formation mechanism and source apportionment of water-soluble organic carbon in PM1, PM2.5 and PM10 in Beijing during haze episodes
Qing Yu, Jing Chen, Weihua Qin, Yuepeng Zhang, Siming Cheng, Mushtaq Ahmad, Xingang Liu, and Hezhong Tian
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-675,https://doi.org/10.5194/acp-2018-675, 2018
Preprint withdrawn
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing
Ruth A. R. Digby, Knut von Salzen, Adam H. Monahan, Nathan P. Gillett, and Jiangnan Li
Atmos. Chem. Phys., 25, 3109–3130, https://doi.org/10.5194/acp-25-3109-2025,https://doi.org/10.5194/acp-25-3109-2025, 2025
Short summary
Characterization of brown carbon absorption in different European environments through source contribution analysis
Hector Navarro-Barboza, Jordi Rovira, Vincenzo Obiso, Andrea Pozzer, Marta Via, Andres Alastuey, Xavier Querol, Noemi Perez, Marjan Savadkoohi, Gang Chen, Jesus Yus-Díez, Matic Ivancic, Martin Rigler, Konstantinos Eleftheriadis, Stergios Vratolis, Olga Zografou, Maria Gini, Benjamin Chazeau, Nicolas Marchand, Andre S. H. Prevot, Kaspar Dallenbach, Mikael Ehn, Krista Luoma, Tuukka Petäjä, Anna Tobler, Jaroslaw Necki, Minna Aurela, Hilkka Timonen, Jarkko Niemi, Olivier Favez, Jean-Eudes Petit, Jean-Philippe Putaud, Christoph Hueglin, Nicolas Pascal, Aurélien Chauvigné, Sébastien Conil, Marco Pandolfi, and Oriol Jorba
Atmos. Chem. Phys., 25, 2667–2694, https://doi.org/10.5194/acp-25-2667-2025,https://doi.org/10.5194/acp-25-2667-2025, 2025
Short summary
Accounting for the black carbon aging process in a two-way coupled meteorology–air quality model
Yuzhi Jin, Jiandong Wang, Chao Liu, David C. Wong, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang
Atmos. Chem. Phys., 25, 2613–2630, https://doi.org/10.5194/acp-25-2613-2025,https://doi.org/10.5194/acp-25-2613-2025, 2025
Short summary
The effectiveness of solar radiation management using fine sea spray across multiple climatic regions
Zhe Song, Shaocai Yu, Pengfei Li, Ningning Yao, Lang Chen, Yuhai Sun, Boqiong Jiang, and Daniel Rosenfeld
Atmos. Chem. Phys., 25, 2473–2494, https://doi.org/10.5194/acp-25-2473-2025,https://doi.org/10.5194/acp-25-2473-2025, 2025
Short summary
A global dust emission dataset for estimating dust radiative forcings in climate models
Danny M. Leung, Jasper F. Kok, Longlei Li, David M. Lawrence, Natalie M. Mahowald, Simone Tilmes, and Erik Kluzek
Atmos. Chem. Phys., 25, 2311–2331, https://doi.org/10.5194/acp-25-2311-2025,https://doi.org/10.5194/acp-25-2311-2025, 2025
Short summary

Cited articles

Akimoto, H., Ohara, T., Kurokawa, J, and Horii, N.: Verification of energy consumption in China during 1996–2003 by using satellite observational data, Atmos. Environ., 40, 7664–7667, https://doi.org/10.1016/j.atmosenv.2006.07.052, 2006.
Annema, J. A.: SPIN document "Productie van secundair staal", RIVM rapportnr, the Netherlands, 1993.
Biggins, P. D. and Harrison, R. M.: Atmospheric chemistry of automotive lead, Environ. Sci. Technol., 13, 558–565, https://doi.org/10.1021/es60153a017, 1979.
Bond, T. C., Bhardwaj, E., Dong, R., Jogani, R., Jung, S., Roden, C., Streets, D. G., and Trautmann, N. M.: Historical emissions of black and organic carbon aerosol from energy related combustion, 1850–2000, Global Biogeochem. Cy., 21, 1–16, https://doi.org/10.1029/2006GB002840, 2007.
Bukowiecki, N., Lienemann, P., Hill, M., Figi, R., Richard, A., Furger, M., Rickers, K., Falkenberg, G., Zhao, Y., and Cliff, S. S.: Real-world emission factors for antimony and other brake wear related trace elements: size-segregated values for light and heavy duty vehicles, Environ. Sci. Technol., 43, 8072–8078, https://doi.org/10.1021/es9006096, 2009.
Download
Short summary
For the first time, with S-shaped curves, the best available representation of time-varying emission factors of 12 heavy metals (Hg, As, Se, Pb, Cd, Cr, Ni, Sb, Mn, Co, Cu and Zn) from primary anthropogenic sources of China are determined on account of economic transitions and pollution control technology improvement. The temporal and spatial variation characteristics of these heavy metals emissions during the period of 1949−2012 are calculated and evaluated with uncertainty analysis.
Share
Altmetrics
Final-revised paper
Preprint