The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Global Atmospheric Emissions of Polycyclic Aromatic Hydrocarbons from 1960 to 2008 and Future Predictions
Open accessAbstract
Global atmospheric emissions of 16 polycyclic aromatic hydrocarbons (PAHs) from 69 major sources were estimated for a period from 1960 to 2030. Regression models and a technology split method were used to estimate country and time specific emission factors, resulting in a new estimate of PAH emission factor variation among different countries and over time. PAH emissions in 2007 were spatially resolved to 0.1° × 0.1° grids based on a newly developed global high-resolution fuel combustion inventory (PKU-FUEL-2007). The global total annual atmospheric emission of 16 PAHs in 2007 was 504 Gg (331-818 Gg, as interquartile range), with residential/commercial biomass burning (60.5%), open-field biomass burning (agricultural waste burning, deforestation, and wildfire, 13.6%), and petroleum consumption by on-road motor vehicles (12.8%) as the major sources. South (87 Gg), East (111 Gg), and Southeast Asia (52 Gg) were the regions with the highest PAH emission densities, contributing half of the global total PAH emissions. Among the global total PAH emissions, 6.19% of the emissions were in the form of high molecular weight carcinogenic compounds and the percentage of the carcinogenic PAHs was higher in developing countries (6.22%) than in developed countries (5.73%), due to the differences in energy structures and the disparities of technology. The potential health impact of the PAH emissions was greatest in the parts of the world with high anthropogenic PAH emissions, because of the overlap of the high emissions and high population densities. Global total PAH emissions peaked at 592 Gg in 1995 and declined gradually to 499 Gg in 2008. Total PAH emissions from developed countries peaked at 122 Gg in the early 1970s and decreased to 38 Gg in 2008. Simulation of PAH emissions from 2009 to 2030 revealed that PAH emissions in developed and developing countries would decrease by 46-71% and 48-64%, respectively, based on the six IPCC SRES scenarios.
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Cites
中華人民共和国国家統計局 (1988) · Medical Entomology and Zoology · Cited by 12,443
(2010) · doi:10.5194/acp-10-11707-2010 · Cited by 2,859
Toxic equivalency factors (TEFs) for polycyclic aromatic hydrocarbons (PAHs)
Nisbet, I. C. T., & LaGoy, P. K. (1992) · Regulatory Toxicology and Pharmacology · doi:10.1016/0273-2300(92)90009-x · Cited by 2,826
Atmospheric polycyclic aromatic hydrocarbons: Source attribution, emission factors and regulation
RAVINDRA, K., SOKHI, R., & VANGRIEKEN, R. (2008) · Atmospheric Environment · doi:10.1016/j.atmosenv.2007.12.010 · Cited by 2,617
The global distribution of polycyclic aromatic hydrocarbons in recent sediments
Laflamme, R. E., & Hites, R. A. (1978) · Geochimica et Cosmochimica Acta · doi:10.1016/0016-7037(78)90182-5 · Cited by 979
Global atmospheric emission inventory of polycyclic aromatic hydrocarbons (PAHs) for 2004
Zhang, Y., & Tao, S. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2008.10.050 · Cited by 888
Self-citationHistorical emissions of black and organic carbon aerosol from energy‐related combustion, 1850–2000
Bond, T. C., Bhardwaj, E., Dong, R., Jogani, R., Jung, S., Roden, C., Streets, D. G., & Trautmann, N. M. (2007) · Global Biogeochemical Cycles · doi:10.1029/2006gb002840 · Cited by 831
Vehicle Ownership and Income Growth, Worldwide: 1960-2030
Dargay, J., Gately, D., & Sommer, M. (2007) · The Energy Journal · doi:10.5547/issn0195-6574-ej-vol28-no4-7 · Cited by 825
Dynamics of energy technologies and global change
Grübler, A., Nakićenović, N., & Victor, D. G. (1999) · Energy Policy · doi:10.1016/s0301-4215(98)00067-6 · Cited by 726
United Nations Economic Commission for Europe
United Nations Economic Commission for Europe (2021) · Tools for Asset Management – TEM Recommendations for Road Operators · doi:10.18356/9789210055512c002 · Cited by 642
Cited by
Tao, S., Ru, M. Y., Du, W., Zhu, X., Zhong, Q. R., Li, B. G., Shen, G. F., Pan, X. L., Meng, W. J., Chen, Y. L., et al. (2018) · Nature Energy · doi:10.1038/s41560-018-0158-4 · Cited by 435
Self-citationBiological impact of environmental polycyclic aromatic hydrocarbons (ePAHs) as endocrine disruptors
Zhang, Y., Dong, S., Wang, H., Tao, S., & Kiyama, R. (2016) · Environmental Pollution · doi:10.1016/j.envpol.2016.03.050 · Cited by 361
Self-citationCheng, H., Ji, R., Bian, Y., Jiang, X., & Song, Y. (2020) · Bioresource Technology · doi:10.1016/j.biortech.2020.122947 · Cited by 90
Chen, H., Chow, A. T., Li, X.-W., Ni, H.-G., Dahlgren, R. A., Zeng, H., & Wang, J.-J. (2018) · ACS Earth and Space Chemistry · doi:10.1021/acsearthspacechem.8b00101 · Cited by 76
Self-citationKhairy, M., Muir, D., Teixeira, C., & Lohmann, R. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b00186 · Cited by 56
Metadata
- Authors
- Shen, H., Huang, Y., Wang, R., Zhu, D., Li, W., Shen, G., Wang, B., Zhang, Y., Chen, Y., Lu, Y., Chen, H., Li, T., Sun, K., Li, B., Liu, W., Liu, J., & Tao, S.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-05-31
- Volume
- 47
- Issue
- 12
- Pages
- 6415-6424
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2029179680
- Cited by
- 833
- References
- 24
- FWCI
- 30.15
- Type
- journal article
- Language
- en
- Open access
- green
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