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Investigating PM10 episodes using levoglucosan as tracer

Air Quality, Atmosphere & Health volume 11, pages 61–68 (2018)Cite this article

Abstract

The present study aims to investigate the role/contribution of residential combustion (using levoglucosan as a tracer of biomass combustion) during PM10 episode days registered over the Porto urban area (Portugal), in order to support air quality plans that need to be developed for this particular region. The levoglucosan and PM10 concentration values, together with the meteorological conditions (namely temperature), measured during an experimental field campaign performed in 2013, were used in this study. To this end, a wavelet-based approach is applied to (a) better quantify the coherence and dependency of these variables and (b) assess the strength of the connection between the two pollutants species (PM and levoglucosan) at different time scales. Results evidenced a high coherence/dependency between PM10 and levoglucosan values for the episodes selected (periods with exceedances of the PM10 limit values), suggesting the contribution of biomass combustion sources. The highest coherence (normalised covariance) is observed for the winter episodes and time periods of 5–10 days, which is related to the duration of the episodes selected. The summertime episode, which exhibits a negligible observed correlation between temperature and levoglucosan, is explained by the influence of forest fires that occurred within this period and region.

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References

  • Amato F, Alastuey A, Karanasiou A, Lucarelli F, Nava S, Calzolai G, Severi M, Becagli S, Gianelle VL, Colombi C, Alves C, Custodio D, Nunes T, Cerqueira M, Pio C, Eleftheriadis K, Diapouli E, Reche C, Minguillon MC, Manousakas MI, Maggos T, Vratolis S, Harrison RM, Querol X (2016) AIRUSE-LIFE plus: a harmonized PM speciation and source apportionment in five southern European cities. Atmos Chem Phys 16(5):3289–3309

    CAS  Article  Google Scholar 

  • Bølling AK, Pagels J, Yttri KE, Barregard L, Sallsten G, Schwarze PE, Boman C (2009) Health effects of residential wood smoke particles: the importance of combustion conditions and physicochemical particle properties. Part Fibre Toxicol 6:29. https://doi.org/10.1186/1743-8977-6-29

    Article  Google Scholar 

  • Borrego C, Sá E, Monteiro A, Ferreira J, Miranda AI (2009) Forecasting human exposure to atmospheric pollutants—a modelling approach. Atmos Environ 43:5796–5806. https://doi.org/10.1016/j.atmosenv.2009.07.049

    CAS  Article  Google Scholar 

  • Borrego C, Valente J, Carvalho A, Sá E, Lopes M, Miranda AI (2010) Contribution of residential wood combustion to PM10 levels in Portugal. Atmos Environ 44:642–651. https://doi.org/10.1016/j.atmosenv.2009.11.020

    CAS  Article  Google Scholar 

  • Brown SG, Lee T, Roberts PT, Collett JL Jr (2016) Wintertime residential biomass burning in Las Vegas, Nevada; marker components and apportionment methods. Atmosphere-Basel 7:58. https://doi.org/10.3390/atmos7040058

    Article  Google Scholar 

  • Calvo AI, Martins V, Nunes T, Duarte M, Hillamo R, Teinilae K, Pont V, Castro A, Fraile R, Tarelho L, Alves C (2015) Residential wood combustion in two domestic devices: relationship of different parameters throughout the combustion cycle. Atmos Environ 116:72–82

    CAS  Article  Google Scholar 

  • Caseiro A, Bauer H, Schmidl C, Pio CA, Puxbaum H (2009) Wood burning impact on PM10 in three Austrian regions. Atmos Environ 43:2186–2195

    CAS  Article  Google Scholar 

  • Duque L, Relvas H, Silveira C, Ferreira J, Monteiro A, Gama C, Rafael S, Freitas S, Borrego C, Miranda AI (2016) Evaluating strategies to reduce urban air pollution. Atmos Environ 127:196–204. https://doi.org/10.1016/j.atmosenv.2015.12.043

    CAS  Article  Google Scholar 

  • Gelencsér A, May B, Simpson D, Sánchez-Ochoa A, Kasper-Giebl A, Puxbaum H, Caseiro A, Pio C, Legrand M (2007) Source apportionment of PM2.5 organic aerosol over Europe: primary/secondary, natural/anthropogenic, and fossil/biogenic origin. J Geophys Res 112(D23S04):1–12

    Google Scholar 

  • Giannoni M, Martellini T, Del Bubba M, Gambaro A, Zangrando R, Chiari M, Lepri L, Cincinelli A (2012) The use of levoglucosan for tracing biomass burning in PM2.5 samples in Tuscany (Italy). Environ Pollut 167:7–15

    CAS  Article  Google Scholar 

  • Gonçalves C, Alves C, Pio C (2012) Inventory of fine particulate organic compound emissions from residential combustion in Portugal. Atmos Environ 50:297–306

    Article  Google Scholar 

  • Grinsted A, Moore JC, Jevrejeva S (2004) Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlin Process Geophys 11:561–566. https://doi.org/10.5194/npg-11-561-2004

    Article  Google Scholar 

  • Hedberg E, Kristensson A, Ohlsson M, Johansson C, Johansson PÅ, Swietlicki E, Vesely V, Wideqvist U, Westerholm R (2002) Chemical and physical characterization of emissions from birch wood combustion in a wood stove. Atmos Environ 36:4823–4837. https://doi.org/10.1016/S1352-2310(02)00417-X

    CAS  Article  Google Scholar 

  • Hennigan CJ, Sullivan AP, Collett JL, Robinson AL (2010) Levoglucosan stability in biomass burning particles exposed to hydroxyl radicals. Geophys Res Lett 37:L09806

    Article  Google Scholar 

  • Hoffmann D, Tilgner A, Iinuma Y, Herrmann H (2010) Atmospheric stability of levoglucosan: a detailed laboratory and modeling study. Environ Sci Technol 44:694–699

    CAS  Article  Google Scholar 

  • ICNF (2014) Relatório provisório de incêndios florestais (2014) Instituto de Conservação da Natureza e das Florestas. Departamento de Gestão de Áreas Classificadas, Públicas e de Proteção Florestal. Available at: http://www.icnf.pt/portal/florestas/dfci/Resource/doc/rel/2014/DFCI-rp7-20140915.pdf. Accessed 10 October 2017

  • JRC- Joint Research Center, Institute for Environment and Sustainability (2014) Forest fires in Europe, Middle East and North Africa 2013. JRC Technical Reports. https://doi.org/10.2788/99870 (online). Available at: http://forest.jrc.ec.europa.eu/media/cms_page_media/9/FireReport2013_final2pdf_2.pd. Accessed 10 October 2017

  • Krecl P, Larsson EH, Ström J, Johansson C (2008) Contribution of residential wood combustion and other sources to hourly winter aerosol in Northern Sweden determined by positive matrix factorization. Atmos Chem Phys 8:3639–3653

    CAS  Article  Google Scholar 

  • Lanz VA, Alfarra MR, Baltensperger U, Buchmann B, Hueglin C, Prévôt ASH (2007) Source apportionment of submicron organic aerosols at an urban site by factor analytical modelling of aerosol mass spectra. Atmos Chem Phys 7:1503–1522

    CAS  Article  Google Scholar 

  • Miranda A, Silveira C, Ferreira J, Monteiro A, Lopes D, Relvas H, Borrego C, Roebeling P, Turrini E, Volta M (2015) Current air quality plans in Europe designed to support air quality management policies. Atmos Pol Res 6:434–443. https://doi.org/10.5094/APR.2015.048

    CAS  Article  Google Scholar 

  • Mochida M, Kawamura K, Fu P, Takemura T (2010) Seasonal variation of levoglucosan in aerosols over the western North Pacific and its assessment as a biomass-burning tracer. Atmos Environ 44:3511–3518

    CAS  Article  Google Scholar 

  • Monteiro A, Miranda AI, Borrego C, Vautard R (2007) Air quality assessment for Portugal. Sci Total Environ 373:22–31. https://doi.org/10.1016/j.scitotenv.2006.10.014

    CAS  Article  Google Scholar 

  • Monteiro A, Lopes J, Gouveia S, Scotto M, Feliciano M, Miranda AI (2016) Investigating ozone episodes in Portugal: a wavelet-based approach. Air Qual Atmos Health 9(7):775–783. https://doi.org/10.1007/s11869-015-0379-7

    CAS  Article  Google Scholar 

  • Nolte CG, Schauer JJ, Cass GR, Simoneit BRT (2001) Highly polar organic compounds present in wood smoke and in the ambient atmosphere. Environ Sci Technol 35:1912–1919

    CAS  Article  Google Scholar 

  • Percival and Walden 2006, Percival DB, Walden AT (2006) Wavelet methods for time series analysis. Cambridge University Press, Cambridge

    Google Scholar 

  • Perrone MG, Larsen BR, Ferrero L, Sangiorgi G, De Gennaro G, Udisti R, Zangrando R, Gambaro A, Bolzacchini E (2012) Sources of high PM2.5 concentrations in Milan, Northern Italy: molecular marker data and CMB modelling. Sci Total Environ 414:343–355

    CAS  Article  Google Scholar 

  • Piazzalunga A, Fermo P, Bernardoni V, Vecchi R, Valli G, De Gregorio MA (2010) A simplified method for levoglucosan quantification in wintertime atmospheric particulate matter by high performance anionexchange chromatography coupled with pulsed amperometric detection. Int J Environ An Ch 90:934–947

    CAS  Article  Google Scholar 

  • Puxbaum H, Caseiro A, Sánchez-Ochoa A, Kasper-Giebl A, Claeys M, Gelencsér A, Legrand M, Preunkert S, Pio C (2007) Levoglucosan levels at background sites in Europe for assessing the impact of biomass combustion on the European aerosol background. J Geophys Res Research 112:D23S05

    Google Scholar 

  • Reche C, Viana M, Amato F, Alastuey A, Moreno T, Hillamo R, Teinila K, Saarnio K, Seco R, Penuelas J, Mohr C, Prevot ASH, Querol X (2012) Biomass burning contributions to urban aerosols in a coastal Mediterranean city. Sci Total Environ 427-428:175–190

    CAS  Article  Google Scholar 

  • Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79:61–78. https://doi.org/10.1175/1520-0477

    Article  Google Scholar 

  • Vicente E, Duarte M, Calvo AI, Nunes T, Tarelho L, Custódio D, Colombi C, Gianelle C, Sanchez de la Campa A, Alves C (2015) Influence of operating conditions on chemical composition of particulate matter emissions from residential combustion. Atmos Res 166:92–100

    CAS  Article  Google Scholar 

  • Vu B, Alves CA, Gonçalves C, Pio C, Gonçalves F, Pereira R (2012) Mutagenicity assessment of aerosols in emissions from wood combustion in Portugal. Environ Pollut 166:172–181

    CAS  Article  Google Scholar 

  • Zdráhal Z, Oliveira J, Vermeylen R, Claeys M, Maenhaut W (2002) Improved method for quantifying levoglucosan and related monosaccharide anhydrides in atmospheric aerosols and application to samples from urban and tropical locations. Environ Sci Technol 36:747–753

    Article  Google Scholar 

  • Zeri M, Oliveira JF, Lyra GB (2011) Spatiotemporal analysis of particulate matter, sulfur dioxide and carbon monoxide concentrations over the city of Rio de Janeiro, Brazil. Meteor Atmos Phys 113:139–152

    Article  Google Scholar 

  • Zeri M, Carvalho VSB, Cunha-Zeri G, Oliveira-Júnior JF, Lyra GB, Freitas ED (2016) Assessment of the variability of pollutants concentration over the metropolitan area of São Paulo, Brazil, using the wavelet transform. Atmos Sci Lett 17:87–95

    Article  Google Scholar 

  • Zhang X, Hecobian A, Zheng M, Frank NH, Weber RJ (2010) Biomass burning impact on PM2.5 over the southeastern US during 2007: integrating chemically speciated FRM filter measurements, MODIS fire counts and PMF analysis. Atmos Chem Phys 10:6839–6853

    CAS  Article  Google Scholar 

Download references

Acknowledgements

The authors wish to thank the financial support from AIRUSE LIFE+ (ENV/ES/584) EU project. This work was partially supported by the Portuguese Foundation for Science and Technology (FCT), with national (MEC) and European structural funds through the programmes FEDER, under the partnership agreement PT2020—within IEETA/UA project UID/CEC/00127/2013 (Instituto de Engenharia Electrónica e Informática de Aveiro, IEETA/UA, Aveiro), CIDMA/UA project UID/MAT/04106/2013 (Centro de Investigação e Desenvolvimento em Matemática e Aplicações, CIDMA/UA, Aveiro) and CESAM (UID/AMB/50017-POCI-01-0145-FEDER-007638) within the PT2020 Partnership Agreement and Compete 2020. S. Gouveia and C. Gama acknowledge the postdoctoral and doctoral grants by FCT (SFRH/BPD/87037/2012 and SFRH/BD/87468/2012, respectively).

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Authors and Affiliations

  1. CESAM and Department of Environment and Planning, University of Aveiro, 3810-193, Aveiro, Portugal

    Alexandra Monteiro, Sandra Sorte, Carla Gama & Célia Alves

  2. Institute of Electronics and Informatics Engineering of Aveiro (IEETA) and Center for R&D in Mathematics and Applications (CIDMA), University of Aveiro, Aveiro, Portugal

    Sónia Gouveia

  3. CEMAT and Department of Mathematics, IST University of Lisbon, Lisbon, Portugal

    Manuel Scotto

  4. Environmental Monitoring Sector, Arpa Lombardia, 20124, Milan, Italy

    Vorne L. Gianelle & Cristina Colombi

Authors
  1. Alexandra Monteiro
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  2. Sónia Gouveia
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Correspondence to Alexandra Monteiro.

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Monteiro, A., Gouveia, S., Scotto, M. et al. Investigating PM10 episodes using levoglucosan as tracer. Air Qual Atmos Health 11, 61–68 (2018). https://doi.org/10.1007/s11869-017-0521-9

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  • DOI: https://doi.org/10.1007/s11869-017-0521-9

Keywords

  • Levoglucosan
  • Temperature
  • Particulate matter
  • Episodes
  • Wavelet analysis