Literature DB >> 27866854

Source apportionment of fine and coarse particles at a roadside and urban background site in London during the 2012 summer ClearfLo campaign.

Leigh R Crilley1, Franco Lucarelli2, William J Bloss1, Roy M Harrison3, David C Beddows1, Giulia Calzolai4, Silvia Nava5, Gianluigi Valli6, Vera Bernardoni6, Roberta Vecchi6.   

Abstract

London, like many major cities, has a noted air pollution problem, and a better understanding of the sources of airborne particles in the different size fractions will facilitate the implementation and effectiveness of control strategies to reduce air pollution. Thus, the trace elemental composition of the fine and coarse fraction were analysed at hourly time resolution at urban background (North Kensington, NK) and roadside (Marylebone Road, MR) sites within central London. Unlike previous work, the current study focuses on measurements during the summer providing a snapshot of contributing sources, utilising the high time resolution to improve source identification. Roadside enrichment was observed for a large number of elements associated with traffic emissions (Al, S, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Rb and Zr), while those elements that are typically from more regional sources (e.g. Na, Cl, S and K) were not found to have an appreciable increment. Positive Matrix Factorization (PMF) was applied for the source apportionment of the particle mass at both sites with similar sources being identified, including sea salt, airborne soil, traffic emissions, secondary inorganic aerosols and a Zn-Pb source. In the fine fraction, traffic emissions was the largest contributing source at MR (31.9%), whereas it was incorporated within an "urban background" source at NK, which had contributions from wood smoke, vehicle emissions and secondary particles. Regional sources were the major contributors to the coarse fraction at both sites. Secondary inorganic aerosols (which contained influences from shipping emissions and coal combustion) source factors accounted for around 33% of the PM10 at NK and were found to have the highest contributions from regional sources, including from the European mainland. Exhaust and non-exhaust sources both contribute appreciably to PM10 levels at the MR site, highlighting the continuing importance of vehicle-related air pollutants at roadside. Copyright Â
© 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Hourly temporal resolution; London; PMF; Source apportionment

Mesh:

Substances:

Year:  2016        PMID: 27866854     DOI: 10.1016/j.envpol.2016.06.002

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


  5 in total

1.  Source apportionment of settleable particles in an impacted urban and industrialized region in Brazil.

Authors:  Jane Meri Santos; Neyval Costa Reis; Elson Silva Galvão; Alexsander Silveira; Elisa Valentim Goulart; Ana Teresa Lima
Journal:  Environ Sci Pollut Res Int       Date:  2017-08-07       Impact factor: 4.223

Review 2.  A Review of Road Traffic-Derived Non-Exhaust Particles: Emissions, Physicochemical Characteristics, Health Risks, and Mitigation Measures.

Authors:  Julia C Fussell; Meredith Franklin; David C Green; Mats Gustafsson; Roy M Harrison; William Hicks; Frank J Kelly; Franceska Kishta; Mark R Miller; Ian S Mudway; Farzan Oroumiyeh; Liza Selley; Meng Wang; Yifang Zhu
Journal:  Environ Sci Technol       Date:  2022-05-25       Impact factor: 11.357

3.  Strong evidence for the continued contribution of lead deposited during the 20th century to the atmospheric environment in London of today.

Authors:  Eléonore Resongles; Volker Dietze; David C Green; Roy M Harrison; Raquel Ochoa-Gonzalez; Anja H Tremper; Dominik J Weiss
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-29       Impact factor: 12.779

4.  Comparison of concentrations of chemical species and emission sources PM2.5 before pandemic and during pandemic in Krakow, Poland.

Authors:  Anna Rys; Lucyna Samek; Zdzislaw Stegowski; Katarzyna Styszko
Journal:  Sci Rep       Date:  2022-10-01       Impact factor: 4.996

5.  Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM2.5 and PM10.

Authors:  Héctor Jorquera; Ana María Villalobos
Journal:  Int J Environ Res Public Health       Date:  2020-11-15       Impact factor: 3.390

  5 in total

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