Literature DB >> 28711569

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

Jin Zhang1, Junwei Wu1, Pei Hua2, Zhonghua Zhao3, Lei Wu4, Gongduan Fan5, Yun Bai6, Thomas Kaeseberg1, Peter Krebs1.   

Abstract

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

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

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Year:  2017        PMID: 28711569     DOI: 10.1016/j.envpol.2017.07.019

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

1.  Runoff simulation of two typical urban green land types with the Stormwater Management Model (SWMM): sensitivity analysis and calibration of runoff parameters.

Authors:  Zuxin Xu; Lijun Xiong; Huaizheng Li; Jin Xu; Xin Cai; Keli Chen; Jun Wu
Journal:  Environ Monit Assess       Date:  2019-05-04       Impact factor: 2.513

2.  Influence of surface properties and antecedent environmental conditions on particulate-associated metals in surface runoff.

Authors:  Zhenyu Wang; Pei Hua; Heng Dai; Rui Li; Beidou Xi; Dongwei Gui; Jin Zhang; Peter Krebs
Journal:  Environ Sci Ecotechnol       Date:  2020-02-08
  2 in total

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