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Application of a self-organizing map and positive matrix factorization to investigate the spatial distributions and sources of polycyclic aromatic hydrocarbons in soils from Xiangfen County, northern China.

Publication ,  Journal Article
Tao, S-Y; Zhong, B-Q; Lin, Y; Ma, J; Zhou, Y; Hou, H; Zhao, L; Sun, Z; Qin, X; Shi, H
Published in: Ecotoxicology and environmental safety
July 2017

The concentrations of 16 priority polycyclic aromatic hydrocarbons (PAHs) were measured in 128 surface soil samples from Xiangfen County, northern China. The total mass concentration of these PAHs ranged from 52 to 10,524ng/g, with a mean of 723ng/g. Four-ring PAHs contributed almost 50% of the total PAH burden. A self-organizing map and positive matrix factorization were applied to investigate the spatial distribution and source apportionment of PAHs. Three emission sources of PAHs were identified, namely, coking ovens (21.9%), coal/biomass combustion (60.1%), and anthracene oil (18.0%). High concentrations of low-molecular-weight PAHs were particularly apparent in the coking plant zone in the region around Gucheng Town. High-molecular-weight PAHs mainly originated from coal/biomass combustion around Gucheng Town, Xincheng Town, and Taosi Town. PAHs in the soil of Xiangfen County are unlikely to pose a significant cancer risk for the population.

Duke Scholars

Published In

Ecotoxicology and environmental safety

DOI

EISSN

1090-2414

ISSN

0147-6513

Publication Date

July 2017

Volume

141

Start / End Page

98 / 106

Related Subject Headings

  • Strategic, Defence & Security Studies
  • Soil Pollutants
  • Soil
  • Risk Assessment
  • Polycyclic Aromatic Hydrocarbons
  • Neoplasms
  • Humans
  • Environmental Monitoring
  • Coal
  • China
 

Citation

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ICMJE
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Tao, S.-Y., Zhong, B.-Q., Lin, Y., Ma, J., Zhou, Y., Hou, H., … Shi, H. (2017). Application of a self-organizing map and positive matrix factorization to investigate the spatial distributions and sources of polycyclic aromatic hydrocarbons in soils from Xiangfen County, northern China. Ecotoxicology and Environmental Safety, 141, 98–106. https://doi.org/10.1016/j.ecoenv.2017.03.017
Tao, Shi-Yang, Bu-Qing Zhong, Yan Lin, Jin Ma, Yongzhang Zhou, Hong Hou, Long Zhao, Zaijin Sun, Xiaopeng Qin, and Huading Shi. “Application of a self-organizing map and positive matrix factorization to investigate the spatial distributions and sources of polycyclic aromatic hydrocarbons in soils from Xiangfen County, northern China.Ecotoxicology and Environmental Safety 141 (July 2017): 98–106. https://doi.org/10.1016/j.ecoenv.2017.03.017.
Tao, Shi-Yang, et al. “Application of a self-organizing map and positive matrix factorization to investigate the spatial distributions and sources of polycyclic aromatic hydrocarbons in soils from Xiangfen County, northern China.Ecotoxicology and Environmental Safety, vol. 141, July 2017, pp. 98–106. Epmc, doi:10.1016/j.ecoenv.2017.03.017.
Tao S-Y, Zhong B-Q, Lin Y, Ma J, Zhou Y, Hou H, Zhao L, Sun Z, Qin X, Shi H. Application of a self-organizing map and positive matrix factorization to investigate the spatial distributions and sources of polycyclic aromatic hydrocarbons in soils from Xiangfen County, northern China. Ecotoxicology and environmental safety. 2017 Jul;141:98–106.
Journal cover image

Published In

Ecotoxicology and environmental safety

DOI

EISSN

1090-2414

ISSN

0147-6513

Publication Date

July 2017

Volume

141

Start / End Page

98 / 106

Related Subject Headings

  • Strategic, Defence & Security Studies
  • Soil Pollutants
  • Soil
  • Risk Assessment
  • Polycyclic Aromatic Hydrocarbons
  • Neoplasms
  • Humans
  • Environmental Monitoring
  • Coal
  • China