Literature DB >> 20633925

A comprehensive assessment of PM emissions from paved roads: real-world Emission Factors and intense street cleaning trials.

F Amato1, S Nava, F Lucarelli, X Querol, A Alastuey, J M Baldasano, M Pandolfi.   

Abstract

Compliance with air quality standards requires control of source emissions: fine exhaust particles are already subject to regulation but vehicle fleets increase whilst the non-exhaust emissions are totally uncontrolled. Emission inventories are scarce despite their suitability for researchers and regulating agencies for managing air quality and PM reduction measures. Only few countries in Europe proposed street cleaning as a possible control measure, but its effectiveness is still far to be determined. This study offers first estimates of Real-world Emission Factors for PM(10) and brake-wear elements and the effect on PM(10) concentrations induced by intense street cleaning trials. A straightforward campaign was carried out in the city of Barcelona with hourly elemental composition of fine and coarse PM to detect any short-term effect of street cleaning on specific tracers of non-exhaust emissions. Samples were analyzed by Particle Induced X-Ray Emission. Real-world Emission Factor for PM(10) averaged for the local fleet resulted to be 97 mg veh(-1) km(-1). When compared to other European studies, our EF resulted higher than what found in UK, Germany, Switzerland and Austria but lower than Scandinavian countries. For brake-related elements, total EFs were estimated, accounting for the sum of direct and resuspension emissions, in 7400, 486, 106 and 86 microg veh(-1) km(-1), respectively for Fe, Cu, Sn and Sb. In PM(2.5)Fe and Cu emission factors were respectively 4884 and 306 microg veh(-1) km(-1). Intense street cleaning trials evidenced a PM(10) reduction at kerbside of 3 microg m(-3) (mean daily levels of 54 microg m(-3)), with respect to reference stations. It is important to remark that such benefit could only be detected in small time-integration periods (12:00-18:00) since in daily values this benefit was not noticed. Hourly PM elemental monitoring allowed the identification of mineral and brake-related metallic particles as those responsible of the PM(10) reduction. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20633925     DOI: 10.1016/j.scitotenv.2010.06.008

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


  7 in total

1.  Evaluating exposure of pedestrians to airborne contaminants associated with non-potable water use for pavement cleaning.

Authors:  M Seidl; G Da; P Ausset; S Haenn; E Géhin; L Moulin
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-02       Impact factor: 4.223

2.  Chemical composition and mass closure of ambient coarse particles at traffic and urban-background sites in Thessaloniki, Greece.

Authors:  Theodoros Grigoratos; Constantini Samara; Dimitra Voutsa; Evangelia Manoli; Athanasios Kouras
Journal:  Environ Sci Pollut Res Int       Date:  2014-03-14       Impact factor: 4.223

Review 3.  Sources and levels of particulate matter in North African and Sub-Saharan cities: a literature review.

Authors:  Lamri Naidja; Hocine Ali-Khodja; Salah Khardi
Journal:  Environ Sci Pollut Res Int       Date:  2018-03-19       Impact factor: 4.223

4.  Less indoor cleaning is associated with poor health and unhappiness in adults: Japanese General Social Survey, 2010.

Authors:  Ivy Shiue
Journal:  Environ Sci Pollut Res Int       Date:  2015-10-27       Impact factor: 4.223

5.  Interventions to reduce ambient particulate matter air pollution and their effect on health.

Authors:  Jacob Burns; Hanna Boogaard; Stephanie Polus; Lisa M Pfadenhauer; Anke C Rohwer; Annemoon M van Erp; Ruth Turley; Eva Rehfuess
Journal:  Cochrane Database Syst Rev       Date:  2019-05-20

6.  People with dyslexia and heart, chest, skin, digestive, musculoskeletal, vision, learning, speech and mental disorders were more dissatisfied with neighbourhoods: Scottish Household Survey, 2007-2008.

Authors:  Ivy Shiue
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-14       Impact factor: 4.223

7.  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

  7 in total

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