Dockery, D. W. et al. An association between air pollution and mortality in Six U.S. cities. N. Eng. J. Med. 329, 1753–1759 (1993).
Pope, C. A. III & Dockery, D. W. Health effects of fine particulate air pollution: lines that connect. J. Air Waste Manag. Assoc. 56, 709–742 (2006).
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D. & Pozzer, A. The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525, 367–371 (2015).
WHO Air Quality Guidelines: Global Update 2005 (World Health Organization, 2006).
Harrison, R. M. & Yin, J. Particulate matter in the atmosphere: Which particle properties are important for its effects on health? Sci. Total Environ. 249, 85–101 (2000).
Hao, J., Wang, L., Shen, M., Li, L. & Hu, J. Air quality impacts of power plant emissions in Beijing. Environ. Pollut. 147, 401–408 (2007).
Zhou, Y. et al. The impact of transportation control measures on emission reductions during the 2008 Olympic Games in Beijing, China. Atmos. Environ. 44, 285–293 (2010).
Minguillón, M. C. et al. Effect of ceramic industrial particulate emission control on key components of ambient PM10. J. Environ. Manage. 90, 2558–2567 (2009).
Carvalho, V. S. B. et al. Air quality status and trends over the Metropolitan Area of São Paulo, Brazil as a result of emission control policies. Environ. Sci. Policy 47, 68–79 (2015).
Johnson, T. V. Diesel emission control in review. SAE Int. J. Fuels Lubr. 1, 68–81 (2009).
Mohr, M., Forss, A.-M. & Lehmann, U. Particle emissions from diesel passenger cars equipped with a particle trap in comparison to other technologies. Environ. Sci. Technol. 40, 2375–2383 (2006).
DeWitt, H. L. et al. Near-highway aerosol and gas-phase measurements in a high-diesel environment. Atmos. Chem. Phys. 15, 4373–4387 (2015).
Decarlo, P. F. et al. Investigation of the sources and processing of organic aerosol over the Central Mexican Plateau from aircraft measurements during MILAGRO. Atmos. Chem. Phys. 10, 5257–5280 (2010).
Mohr, C. et al. Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data. Atmos. Chem. Phys. 12, 1649–1665 (2012).
Liu, J. et al. Air pollutant emissions from Chinese households: a major and underappreciated ambient pollution source. Proc. Natl Acad. Sci. USA 113, 7756–7761 (2016).
Lu, Z., Zhang, Q. & Streets, D. G. Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996–2010. Atmos. Chem. Phys. 11, 9839–9864 (2011).
Smith, K. R. et al. Millions dead: how do we know and what does it mean? Methods used in the comparative risk assessment of household air pollution. Annu. Rev. Public Health 35, 185–206 (2014).
Crippa, M. et al. Wintertime aerosol chemical composition and source apportionment of the organic fraction in the metropolitan area of Paris. Atmos. Chem. Phys. 13, 961–981 (2013).
Allan, J. D. et al. Contributions from transport, solid fuel burning and cooking to primary organic aerosols in two UK cities. Atmos. Chem. Phys. 10, 647–668 (2010).
Xu, L. et al. Wintertime aerosol chemical composition, volatility, and spatial variability in the greater London area. Atmos. Chem. Phys. 16, 1139–1160 (2016).
Young, D. E. et al. Investigating a two-component model of solid fuel organic aerosol in London: processes, PM1 contributions, and seasonality. Atmos. Chem. Phys. 15, 2429–2443 (2015).
Young, D. E. et al. Investigating the annual behaviour of submicron secondary inorganic and organic aerosols in London. Atmos. Chem. Phys. 15, 6351–6366 (2015).
Solomon, P. A. et al. U.S. national PM2.5 chemical speciation monitoring networks-CSN and IMPROVE: description of networks. J. Air Waste Manag. Assoc. 64, 1410–1438 (2014).
Grigas, T. et al. Sophisticated clean air strategies required to mitigate against particulate organic pollution. Sci. Rep. 7, 44737 (2017).
Ng, N. L. et al. An aerosol chemical speciation monitor (ACSM) for routine monitoring of the composition and mass concentrations of ambient aerosol. Aerosol Sci. Technol. 45, 780–794 (2011).
Drinovec, L. et al. The “dual-spot” aethalometer: an improved measurement of aerosol black carbon with real-time loading compensation. Atmos. Meas. Tech. 8, 1965–1979 (2015).
Paatero, P. The multilinear engine-a table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model. J. Comput. Graph. Stat. 8, 854–888 (1999).
Paatero, P. Least squares formulation of robust non-negative factor analysis. Chemom. Intell. Lab. Syst. 37, 23–35 (1997).
Canonaco, F., Crippa, M., Slowik, J. G., Baltensperger, U. & Prévôt, A. S. H. SoFi, an IGOR-based interface for the efficient use of the generalized multilinear engine (ME-2) for the source apportionment: ME-2 application to aerosol mass spectrometer data. Atmos. Meas. Tech. 6, 3649–3661 (2013).
Lanz, V. A. et al. Source attribution of submicron organic aerosols during wintertime inversions by advanced factor analysis of aerosol mass spectra. Environ. Sci. Tech. 42, 214–220 (2008).
Lin, C. et al. Characterization of primary organic aerosol from domestic wood, peat, and coal burning in Ireland. Environ. Sci. Tech. 51, 10624–10632 (2017).
Sandradewi, J. et al. Using aerosol light absorption measurements for the quantitative determination of wood burning and traffic emission contributions to particulate matter. Environ. Sci. Tech. 42, 3316–3323 (2008).
2011 Population Census Data (Central Statistics Office, accessed on 1 June 2017); https://www.cso.ie
2010 Population Census Data (National Bureau of Statistics of China; accessed on 1 May 2018); http://www.stats.gov.cn/english/Statisticaldata/CensusData/
Ramanathan, V., & Carmichael, G. Global and regional climate changes due to black carbon. Nat. Geosci. 1, 221–227 (2008).
Bond, T. C. & Bergstrom, R. W. Light absorption by carbonaceous particles: an investigative review. Aerosol Sci. Technol. 40, 27–67 (2006).
Haslett, S. L. et al. Highly controlled, reproducible measurements of aerosol emissions from combustion of a common African biofuel source. Atmos. Chem. Phys. 18, 385–403 (2018).
Ng, N. L. et al. Real-time methods for estimating organic component mass concentrations from aerosol mass spectrometer data. Environ. Sci. Tech. 45, 910–916 (2011).
Alfarra, M. R. et al. Identification of the mass spectral signature of organic aerosols from wood burning emissions. Environ. Sci. Tech. 41, 5770–5777 (2007).
Ryer, T. A., & Langer, A. W. Thickness change involved in the peat-to-coal transformation for a bituminous coal of Cretaceous age in central Utah. J. Sediment. Res. 50, 987–992 (1980).
Ng, N. L. et al. Organic aerosol components observed in Northern Hemispheric datasets from aerosol mass spectrometry. Atmos. Chem. Phys. 10, 4625–4641 (2010).
Jimenez, J. L. et al. Evolution of organic aerosols in the atmosphere. Science 326, 1525–1529 (2009).
Tiitta, P. et al. Transformation of logwood combustion emissions in a smog chamber: formation of secondary organic aerosol and changes in the primary organic aerosol upon daytime and nighttime aging. Atmos. Chem. Phys. 16, 13251–13269 (2016).
Favez, O. et al. Inter-comparison of source apportionment models for the estimation of wood burning aerosols during wintertime in an Alpine city (Grenoble, France). Atmos. Chem. Phys. 10, 5295–5314 (2010).
Crilley, L. R. et al. Sources and contributions of wood smoke during winter in London: assessing local and regional influences. Atmos. Chem. Phys. 15, 3149–3171 (2015).
Mohr, C. et al. Contribution of nitrated phenols to wood burning brown carbon light absorption in Detling, United Kingdom during winter time. Environ. Sci. Technol. 47, 6316–6324 (2013).
Zotter, P. et al. Evaluation of the absorption Ångström exponents for traffic and wood burning in the aethalometer-based source apportionment using radiocarbon measurements of ambient aerosol. Atmos. Chem. Phys. 17, 4229–4249 (2017).
Clancy, L., Goodman, P., Sinclair, H. & Dockery, D. W. Effect of air-pollution control on death rates in Dublin, Ireland: an intervention study. Lancet 360, 1210–1214 (2002).
Goodman, P. G., Rich, D. Q., Zeka, A., Clancy, L. & Dockery, D. W. Effect of air pollution controls on black smoke and sulfur dioxide concentrations across Ireland. J. Air Waste Manag. Assoc. 59, 207–213 (2009).
Directive 2009/28/EC of the European Parliament and of the Council of 23 April 2009 (European Union, 2009); https://eur-lex.europa.eu/eli/dir/2009/28/oj
Driving Europe’s transition to a low-carbon economy. European Commission (20 July 2016).
Global Wood Pellet Industry and Trade Study 2017 (International Energy Agency Bioenergy, accessed on 1 June 2017).
Biomass for Electricity and Heating (European Parliament, 2015).
Global Energy Data (International Energy Agency, accessed on 1 June 2017); http://www.iea.org
Martucci, G., Milroy, C. & O’Dowd, C. D. Detection of cloud-base height using Jenoptik CHM15K and Vaisala CL31 ceilometers. J. Atmos. Ocean. Tech. 27, 305–318 (2010).
Allan, J. D. et al. A generalised method for the extraction of chemically resolved mass spectra from Aerodyne aerosol mass spectrometer data. J. Aerosol Sci. 35, 909–922 (2004).
Ulbrich, I. M., Canagaratna, M. R., Zhang, Q., Worsnop, D. R. & Jimenez, J. L. Interpretation of organic components from positive matrix factorization of aerosol mass spectrometric data. Atmos. Chem. Phys. 9, 2891–2918 (2009).
Garg, S. et al. Limitation of the use of the absorption Angstrom exponent for source apportionment of equivalent black carbon: a case study from the North West Indo-Gangetic Plain. Environ. Sci. Tech. 50, 814–824 (2016).