Literature DB >> 25310884

The qualitative and quantitative source apportionments of polycyclic aromatic hydrocarbons in size dependent road deposited sediment.

Jin Zhang1, Jing Wang2, Pei Hua3, Peter Krebs2.   

Abstract

This study showcases the qualitative and quantitative source apportionments of size-dependent polycyclic aromatic hydrocarbons (PAHs) in road deposited sediment by means of molecular diagnostic ratio (MDR) and positive matrix factorisation (PMF) approaches. The MDR was initially used to narrow the PAH source candidates. PMF modelling was subsequently used to provide more precise source apportionment with the assistance of a multiple linear regression analysis. Through a combined qualitative and quantitative source apportionment, different potential source contributors were identified at different size fractions. Explicitly, three major contributors to sorption at the size fraction of 1000-400 μm were tentatively identified as incineration (26%), coal combustion (53%) and gasoline-powered vehicle (20%). Four major contributors to the size fraction of 400-100 μm were identified as gasoline-powered vehicle (25%), surface pavement (15%), diesel-powered vehicle (37%) and industrial boiler (24%). Four major contributors to the size fraction of 100-63 μm were identified as cogeneration emission (13%), diesel-powered vehicle (28%), tire debris (45%) and wood combustion (14%). The potential contributors in the size fraction 63-0.45 μm were identified as diesel-powered vehicle (21%), heterogeneous sources (41%) and biomass burning (38%). In addition, the highest ∑16PAH concentration was found in the smallest size fraction of 63-0.45 μm, which is also where the highest BaPE and TEF values for potential risk assessment occurred.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Molecular diagnostic ratio; PAHs; Positive matrix factorisation; Road deposited sediment; Source apportionment; Stormwater management

Mesh:

Substances:

Year:  2014        PMID: 25310884     DOI: 10.1016/j.scitotenv.2014.09.091

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


  6 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.  Study of different environmental matrices to access the extension of metal contamination along highways.

Authors:  Sônia Zanello; Vander Freitas Melo; Noemi Nagata
Journal:  Environ Sci Pollut Res Int       Date:  2017-12-13       Impact factor: 4.223

3.  Contamination Level, Source Identification and Risk Assessment of Potentially Toxic Elements (PTEs) and Polycyclic Aromatic Hydrocarbons (PAHs) in Street Dust of an Important Commercial Center in Iran.

Authors:  Behnam Keshavarzi; Sajjad Abbasi; Farid Moore; Soheila Mehravar; Armin Sorooshian; Naghmeh Soltani; Ali Najmeddin
Journal:  Environ Manage       Date:  2018-07-16       Impact factor: 3.266

4.  Quantifying Grain-Size Variability of Metal Pollutants in Road-Deposited Sediments Using the Coefficient of Variation.

Authors:  Hongtao Zhao; Xiaoxue Wang; Xuyong Li
Journal:  Int J Environ Res Public Health       Date:  2017-07-28       Impact factor: 3.390

5.  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

6.  Measuring performance of low impact development practices for the surface runoff management.

Authors:  Wenyu Yang; Kurt Brüggemann; Kiwanuka David Seguya; Ehtesham Ahmed; Thomas Kaeseberg; Heng Dai; Pei Hua; Jin Zhang; Peter Krebs
Journal:  Environ Sci Ecotechnol       Date:  2020-01-13
  6 in total

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