Particulate matter sources on an hourly timescale in a rural community during the winter

References

• Ancelet, T., P.K. Davy, T. Mitchell, W.J. Trompetter, A. Markwitz, and D.C. Weatherburn. 2012a. Identification of particulate matter sources on an hourly time-scale in a wood burning community. Environ. Sci. Technol. 46: 4767–4774. doi:10.1021/es203937y
   PubMed Web of Science ®Google Scholar
• Ancelet, T. P.K. Davy, W.J. Trompetter, A. Markwitz and D.C.Weatherburn. 2012b. A review of particulate matter research in New Zealand: Where are we and where should we go from here? Air Qual. Climate Change 46: 34–42. doi:10.5094/APR.2012.014
   Google Scholar
• Ancelet, T., P.K. Davy, W.J. Trompetter, A. Markwitz, and D.C. Weatherburn. 2011. Carbonaceous aerosols in an urban tunnel. Atmos. Environ. 45: 4463–4469. doi:10.1016/j.atmosenv.2011.05.032
   Web of Science ®Google Scholar
• Ancelet, T., P.K. Davy, W.J. Trompetter, A. Markwitz, and D.C. Weatherburn. 2013. Carbonaceous aerosols in a wood burning community in rural New Zealand. Atmos. Pollut. Res. 4: 245–249.doi:10.5094/APR.2013.026
   Web of Science ®Google Scholar
• Aryal, R.K., B.-K. Lee, R. Karki, A. Gurung, B. Baral, and S.-H. Byeon. 2009. Dynamics of PM2.5 concentrations in Kathmandu Valley, Nepal. J. Hazard. Mater. 168: 732–738. doi:10.1016/j.jhazmat.2009.02.086
   PubMed Web of Science ®Google Scholar
• Carslaw, D.C. 2012. The Openair Manual—Open-Source Tools for Analysing Air Pollution Data. Manual for Version 0.7-0. London: Environmental Research Group, King’s College London.
   Google Scholar
• Carslaw, D.C., and K. Ropkins. 2012. openair—An R package for air quality data analysis. Environ. Model. Softw. 27– 28: 52–61. doi:10.1016/j.envsoft.2011.09.008
   Web of Science ®Google Scholar
• Davy, P.K., T. Ancelet, W.J. Trompetter, A. Markwitz, and D.C. Weatherburn. 2012. Composition and source contributions of air particulate matter pollution in a New Zealand suburban town. Atmos. Pollut. Res. 3: 143–147. doi:10.5094/APR.2012.014
   Web of Science ®Google Scholar
• Dockery, D.W., C.A. Pope III, X. Xu, J.D.Spengler, J.H. Ware, M.E. Fay, B.G. Ferris, Jr., and F.E. Speizer. 1993. An association between air pollution and mortality in six U.S. cities. New Engl. J. Med. 329: 1753–1759. doi:10.1056/NEJM199312093292401
   PubMed Web of Science ®Google Scholar
• Fine, P.M., G.R. Cass, and B.R.T. Simoneit. 2002. Chemical characterization of fine particle emissions from the fireplace combustion of woods grown in the Southern United States. Environ. Sci. Technol. 36: 1442–1451. doi:10.1021/es0108988
   PubMed Web of Science ®Google Scholar
• Fitzgerald, J.W. 1991. Marine aerosols: A review. Atmos. Environ. 25A:533–545. doi:10.1016/0960-1686(91)90050-H
   Google Scholar
• Garg, B.D., S.H. Cadle, P.A. Mulawa, P.J. Groblicki, C. Laroo, and G.A. Parr. 2000. Brake wear particulate matter emissions. Environ. Sci. Technol. 34: 4463–4469. doi:10.1021/es001108h
   Web of Science ®Google Scholar
• Khalil, M.A.K., and R.A. Rasmussen. 2003. Tracers of wood smoke. Atmos. Environ. 37: 1211–1222. doi:10.1016/S1352-2310(02)01014-2
   Web of Science ®Google Scholar
• Kim, E., and P.K. Hopke. 2007. Source identification of airborne fine particles using PMF2 and EPA PMF. J. Air Waste Manage. Assoc. 57: 811–819. doi:10.3155/1047-3289.57.7.811
   Web of Science ®Google Scholar
• Malm, W.C., J.F. Sisler, D. Huffman, R.A. Eldred, and T.A.Cahill. 1994. Spatial and seasonal trends in particle concentration and optical extinction in the United States. J. Geophys. Res. Atmos. 99: 1347–1370. doi:10.1029/93JD02916
   Web of Science ®Google Scholar
• Moreno, T., A. Karanasiou, F. Amato, F. Lucarelli, S. Nava, G. Calzolai, M. Chiari, E. Coz, B. Artíñano, J. Lumbreras, et al. 2013a. Daily and hourly sourcing of metallic and mineral dust in urban air contaminated by traffic and coal-burning emissions. Atmos. Environ. 68: 33–44. doi:10.1016/j.atmosenv.2013.01.060
   Web of Science ®Google Scholar
• Moreno, T., T. Kojima, F. Amato, F. Lucarelli, J. de la Rosa, G. Calzolai, S. Nava, M. Chiari, A. Alastuey, X. Querol, and W. Gibbons. 2013b. Daily and hourly chemical impact of springtime transboundary aerosols on Japanese air quality. Atmos. Chem. Phys. 13: 1411–1424. doi:10.5194/acp-13-1411-2013
   Web of Science ®Google Scholar
• Nel, A. 2005. Air pollution-related illness: Effects of particles. Science 308: 804–806. doi:10.1126/science.1108752
   PubMed Web of Science ®Google Scholar
• Paatero, P. 1997. Least squares formulation of robust non-negative factor analysis. Chemom. Intell. Lab. Syst. 18: 183–194. doi:10.1016/S0169-7439(96)00044-5
   Web of Science ®Google Scholar
• Paatero, P. 1999. The multilinear engine—A table driven, least square program for solving multilinear problems, including the n-way parallel factor analysis model. J. Comp. Graph. Stat. 8: 854–888. doi:10.2307/1390831
   Web of Science ®Google Scholar
• Paatero, P., and U. Tapper. 1994. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values. Environmetrics 5: 111–126. doi:10.1002/env.3170050203
   Web of Science ®Google Scholar
• Pancras, J.P., M.S. Landis, G.A. Norris, R. Vedantham, and J.T. Dvonch 2013. Source apportionment of ambient fine particulate matter in Dearborn, Michigan, using hourly resolved PM chemical composition data. Sci. Total Environ. 448: 2–13. doi:10.1016/j.scitotenv.2012.11.083
   PubMed Web of Science ®Google Scholar
• Polissar, A.V., P.K. Hopke, P. Paatero, W.C. Malm, and J.F. Sisler. 1998. Atmospheric aerosol over Alaska 2. Elemental composition and sources. J. Geophys. Res. Atmos. 103: 19045–19057. doi:10.1029/98JD01212
   Web of Science ®Google Scholar
• Pósfai, M. and P.R. Buseck. 2010. Nature and climate effects of individual tropospheric aerosol particles. Ann. Rev. Earth Planet. Sci. 38: 17–43. doi:10.1146/annurev.earth.031208.100032
   Web of Science ®Google Scholar
• Pournazeri, S., A. Venkatram, M. Princevac, S. Tan, and N. Schulte. 2012. Estimating the height of the nocturnal urban boundary layer for dispersion applications. Atmos. Environ. 54: 611–623. doi:10.1016/j.atmosenv.2012.02.024
   Web of Science ®Google Scholar
• R Development Core Team. 2011. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
   Google Scholar
• Russell, A.G., and B., Brunekreef. 2009. A focus on particulate matter and health. Environ. Sci. Technol. 43: 4620–4625. doi:10.1021/es9005459
   PubMed Web of Science ®Google Scholar
• Schauer, J.J., G.C. Lough, M.M. Shafer, W.F. Christensen, M.F. Arndt, J.T. Deminter, and J.-S. Park. 2006. Characterization of Metals Emitted from Motor Vehicles. Research Report 133. Boston: Health Effects Institute.
   Google Scholar
• Song, X.H., A.V. Polissar, and P.K. Hopke. 2001. Sources of fine particle composition in the northeastern US. Atmos. Environ. 35: 5277–5286. doi:10.1016/S1352-2310(01)00338-7
   Web of Science ®Google Scholar
• Thorpe, A., and R.M. Harrison. 2008. Sources and properties of non-exhaust particulate matter from road traffic: A review. Sci. Total Environ. 400: 270–282. doi:10.1016/j.scitotenv.2008.06.007
   PubMed Web of Science ®Google Scholar
• Trompetter, W.J., P.K. Davy, and A. Markwitz. 2010. Influence of environmental conditions on carbonaceous particle concentrations within New Zealand. J. Aerosol Sci. 41: 134–142. doi:10.1016/j.jaerosci.2009.11.003
   Web of Science ®Google Scholar
• Trompetter, W.J., S.K. Grange, P.K. Davy, and T. Ancelet. 2013. Vertical and temporal variations of black carbon in New Zealand urban areas during winter. Atmos. Environ. 75: 179–187. doi:10.1016/j.atmosenv.2013.04.036
   Web of Science ®Google Scholar
• Trompetter, W., A. Markwitz, and P.K. Davy. 2005. Air particulate research capability at the New Zealand Ion Beam Analysis Facility using PIXE and IBA Techniques. Int. J. PIXE 15: 249–255. doi:10.1142/S0129083505000581
   Google Scholar
• Tsai, Y.I., and M.T. Cheng. 1999. Visibility and aerosol chemical compositions near the coastal area in Central Taiwan. Sci. Total Environ. 231: 37–51. doi:10.1016/S0048-9697(99)00093-5
   Web of Science ®Google Scholar
• U.S. Environmental Protection Agency. 2008. EPA Positive Matrix Factorization (PMF) 3.0 Fundamentals and User Guide. Research Triangle Park, NC: National Exposure Research Laboratory.
   Google Scholar