4.7 Article

The influence of land use on source apportionment and risk assessment of polycyclic aromatic hydrocarbons in road-deposited sediment

期刊

ENVIRONMENTAL POLLUTION
卷 229, 期 -, 页码 705-714

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2017.07.019

关键词

Land use; PAHs; PMF; Road-deposited sediment; Source apportionment; Incremental lifetime cancer risk

资金

  1. COLABIS project (Collaborative Early Warning Information Systems for Urban Infrastructures) [03G0852A]
  2. Managing Water Resources for Urban Catchments project [02WCL1337A-K]
  3. German Federal Ministry of Education and Research (BMBF)
  4. Postdoctoral Science Foundation of China [2016M602459]

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The pollution load of urban runoff is boosted due to the washing away of road-deposited sediment (RDS). Therefore, a source-oriented mitigation strategy is essential to integrated stormwater management. This study showcases the influence of land use dependent source apportionment and risk assessment of polycyclic aromatic hydrocarbons (PAHs) in RDS. Samples were collected from areas of different land uses, including commercial city centre, highway, residential rural and campus areas. According to the positive matrix factorisation (PMF) receptor model, different primary sources were identified at different land use areas. Generally, potential sources of gasoline- and diesel-powered engine emissions and other pyrogenic sources of biomass, coal, and wood combustions were identified as main sources of PAH content in RDS. The source specific risks posed by PAHs at different land uses were further estimated by the incremental lifetime cancer risk (ILCR). This shows that the mean ILCRs of the total cancer risk for children and adults at the given land uses were lower than the baseline value of an acceptable risk. However, the potential exposure risk to RDS adsorbed PAHs for children was considerably higher than that for adults. Vehicular emissions and wood combustion were the major contributors to the cancer risk with average contributions of 57 and 29%, respectively. (C) 2017 Elsevier Ltd. All rights reserved.

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