Literature DB >> 30308902

Vehicular contribution of PAHs in size dependent road dust: A source apportionment by PCA-MLR, PMF, and Unmix receptor models.

Jin Zhang1, Ruifei Li2, Xiaoying Zhang3, Yun Bai4, Pan Cao5, Pei Hua6.   

Abstract

This study focuses on the source apportionments of polycyclic aromatic hydrocarbons (PAHs) in road dust (RD) with four size fractions through three receptor models of principal component analysis with multiple linear regression (PCA-MLR), positive matrix factorization (PMF) and Unmix. The concentrations of total PAHs range from 0.45 to 2.03μgg-1. Results show that the concentrations of PAHs increased with a decreasing size fraction. Similar potential sources to PAHs in RD were extracted by three models with a little difference in numbers and percent load contributions of each identified sources. The overall proportion of the identified sources were ranked as vehicular emission>coke oven>surface pavement>others in each size fractions. In terms of risk assessment, the mean values of incremental lifetime cancer risk (ILCR) of the total cancer risk of PAHs in RD were lower than the baseline value of an acceptable risk. However, PAHs in smaller size fraction prone to have a higher adverse effect on children via ingestion. Furthermore, the ecological risk assessment of hazard quotients and mean hazard quotients indicated that PAHs in RD had a 9% probability of being toxic to the benthic organisms and aquatic environment.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  PAHs; PCA-MLR; PMF; Road dust; Source apportionment; Unmix

Mesh:

Substances:

Year:  2018        PMID: 30308902     DOI: 10.1016/j.scitotenv.2018.08.410

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Levels, spatial distribution, risk assessment, and sources of environmental contamination vectored by road dust in Cienfuegos (Cuba) revealed by chemical and C and N stable isotope compositions.

Authors:  Yasser Morera-Gómez; Carlos Manuel Alonso-Hernández; Jesús Miguel Santamaría; David Elustondo; Esther Lasheras; David Widory
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-26       Impact factor: 4.223

2.  Impact of different sources on the oxidative potential of ambient particulate matter PM10 in Riyadh, Saudi Arabia: A focus on dust emissions.

Authors:  Abdulmalik Altuwayjiri; Milad Pirhadi; Mohammed Kalafy; Badr Alharbi; Constantinos Sioutas
Journal:  Sci Total Environ       Date:  2021-09-29       Impact factor: 7.963

3.  A geostatistical approach to estimating source apportionment in urban and peri-urban soils using the Czech Republic as an example.

Authors:  Prince Chapman Agyeman; Kingsley John; Ndiye Michael Kebonye; Luboš Borůvka; Radim Vašát; Ondřej Drábek
Journal:  Sci Rep       Date:  2021-12-08       Impact factor: 4.379

4.  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
  4 in total

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