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Technical Papers

A hybrid model for spatially and temporally resolved ozone exposures in the continental United States

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Pages 39-52 | Received 15 Feb 2016, Accepted 28 Apr 2016, Published online: 22 Jun 2016

References

  • Abraham, J.S., and A.C. Comrie. 2004. Real-time ozone mapping using a regression-interpolation hybrid approach, applied to Tucson, Arizona. J. Air Waste Manage. Assoc. 54:914–25. doi: 10.1080/10473289.2004.10470960
  • Adam-Poupart, A., A. Brand, M. Fournier, M. Jerrett, and A. Smargiassi. 2014. Spatiotemporal modeling of ozone levels in Quebec (Canada): A comparison of kriging, land-use regression (LUR), and combined Bayesian maximum entropy–LUR approaches. Environ. Health Perspect. 122:970–6. doi: 10.1289/ehp.1306566
  • Ahmad, S.P., P.F. Levelt, P.K. Bhartia, E. Hilsenrath, G.W. Leppelmeier, and J.E. Johnson. 2003. Atmospheric products from the ozone monitoring instrument (OMI), optical science and technology. In Proceedings of SPIE conference on Earth Observing Systems VIII, San Diego, California, 3–8 August 2003, 619–30. Bellingham WA, USA: International Society for Optics and Photonics.
  • Akita, Y., J.M. Baldasano, R. Beelen, M. Cirach, K. De Hoogh, G. Hoek, M. Nieuwenhuijsen, M.L. Serre, and A. De Nazelle. 2014. Large scale air pollution estimation method combining land use regression and chemical transport modeling in a geostatistical framework. Environ. Sci. Technol. 48:4452–9. doi: 10.1021/es405390e
  • Appel, K.W., A.B. Gilliland, G. Sarwar, and R.C. Gilliam. 2007. Evaluation of the Community Multiscale Air Quality (CMAQ) model version 4.5: Sensitivities impacting model performance: Part I—Ozone. Atmos. Environ. 41:9603–15. doi: 10.1016/j.atmosenv.2007.08.044
  • Atkinson, R.W., B.K. Butland, C. Dimitroulopoulou, M.R. Heal, J.R. Stedman, N. Carslaw, D. Jarvis, C. Heaviside, S. Vardoulakis, and H. Walton. 2016. Long-term exposure to ambient ozone and mortality: A quantitative systematic review and meta-analysis of evidence from cohort studies. BMJ Open 6:e009493. doi: 10.1136/bmjopen-2015-009493
  • Austin, E., A. Zanobetti, B. Coull, J. Schwartz, D.R. Gold, and P. Koutrakis. 2014. Ozone trends and their relationship to characteristic weather patterns. J. Expo. Sci. Environ. Epidemiol. 25:532–42. doi: 10.1038/jes.2014.45
  • Balis, D., M. Kroon, M. Koukouli, E. Brinksma, G. Labow, J. Veefkind, and R. McPeters. 2007. Validation of Ozone Monitoring Instrument total ozone column measurements using Brewer and Dobson spectrophotometer ground-based observations. J. Geophys. Res. Atmos. 112:D24S46. doi: 10.1029/2007JD008796
  • Bell, M.L. 2006. The use of ambient air quality modeling to estimate individual and population exposure for human health research: A case study of ozone in the Northern Georgia Region of the United States. Environ. Int. 32:586–93. doi: 10.1016/j.envint.2006.01.005
  • Bell, M.L., and F. Dominici. 2008. Effect modification by community characteristics on the short-term effects of ozone exposure and mortality in 98 US communities. Am. J. Epidemiol. 167:986–97. doi: 10.1093/aje/kwm396
  • Bell, M.L., A. McDermott, S.L. Zeger, J.M. Samet, and F. Dominici. 2004. Ozone and short-term mortality in 95 US urban communities, 1987–2000. JAMA 292:2372–8. doi: 10.1001/jama.292.19.2372
  • Bey, I., D.J. Jacob, R.M. Yantosca, J.A. Logan, B.D. Field, A.M. Fiore, Q. Li, H.Y. Liu, L.J. Mickley, and M.G. Schultz. 2001. Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation. J. Geophys. Res. 106:23073–95. doi: 10.1029/2001JD000807
  • Bhartia, P.K., and C. Wellemeyer. 2002. TOMS-V8 total O3 algorithm. OMI Algorithm Theoretical Basis Document. Greenbelt, MD: NASA Goddard Space Flight Center. http://eospso.gsfc.nasa.gov/sites/default/files/atbd/ATBD-OMI-02.pdf ( accessed December 31, 2015).
  • Bishop, C.M. 1995. Neural Networks for Pattern Recognition. Oxford, UK: Oxford University Press.
  • Brasseur, G., D. Hauglustaine, S. Walters, P. Rasch, J.F. Müller, C. Granier, and X. Tie. 1998. MOZART, a global chemical transport model for ozone and related chemical tracers: 1. Model description. J. Geophys. Res. Atmos. 103:28265–89. doi: 10.1029/98JD02397
  • Breton, C.V., X. Wang, W.J. Mack, K. Berhane, M. Lopez, T.S. Islam, M. Feng, F. Lurmann, R. McConnell, and H.N. Hodis. 2012. Childhood air pollutant exposure and carotid artery intima-media thickness in young adults. Circulation 126:1614–20. doi: 10.1161/CIRCULATIONAHA.112.096164
  • Burrows, J.P., M. Weber, M. Buchwitz, V. Rozanov, A. Ladstätter-Weißenmayer, A. Richter, R. DeBeek, R. Hoogen, K. Bramstedt, and K.-U. Eichmann. 1999. The global ozone monitoring experiment (GOME): Mission concept and first scientific results. J. Atmos. Sci. 56:151–75. doi: 10.1175/1520-0469(1999)056<0151:TGOMEG>2.0.CO;2
  • Byun, D., and K.L. Schere. 2006. Review of the governing equations, computational algorithms, and other components of the models—3. Community Multiscale Air Quality (CMAQ) modeling system. Appl. Mech. Rev. 59:51–77. doi: 10.1115/1.2128636
  • Camalier, L., W. Cox, and P. Dolwick. 2007. The effects of meteorology on ozone in urban areas and their use in assessing ozone trends. Atmos. Environ. 41:7127–37. doi: 10.1016/j.atmosenv.2007.04.061
  • Carnevale, C., G. Finzi, E. Pisoni, V. Singh, and M. Volta. 2008. Neural networks and co-kriging techniques to forecast ozone concentrations in urban areas. In Proceedings of the iEMSs Fourth Biennial Meeting, Barcelona, Spain, 21 September 2008, 1125–32. Barcelona, Spain: International Environmental Modelling and Software Society.
  • Cooper, O.R., R.S. Gao, D. Tarasick, T. Leblanc, and C. Sweeney. 2012. Long-term ozone trends at rural ozone monitoring sites across the United States, 1990–2010. J. Geophys. Res. Atmos. 117:D22307. doi: 10.1029/2012JD018261
  • Cox, W.M., and S.-H. Chu. 1996. Assessment of interannual ozone variation in urban areas from a climatological perspective. Atmos. Environ. 30:2615–25. doi: 10.1016/1352-2310(95)00346-0
  • Davies, T., and E. Schuepbach. 1994. Episodes of high ozone concentrations at the earth’s surface resulting from transport down from the upper troposphere/lower stratosphere: A review and case studies. Atmos. Environ. 28:53–68. doi: 10.1016/1352-2310(94)90022-1
  • Di, Q., I. Kloog, P. Koutrakis, A. Lyapustin, Y. Wang, and J. Schwartz. 2015. Assessing PM2.5 exposures with high spatio-temporal resolution across the continental United States. Environ. Sci. Technol. 50:4712–4721. doi: 10.1021/acs.est.5b06121.
  • Di, Q., J. Schwartz, and P. Koutrakis. 2016. A hybrid prediction model for PM2.5 mass and components using a chemical transport model and land use regression. Atmos. Environ. 131:390–9. doi: 10.1016/j.atmosenv.2016.02.002
  • Didan, K. 2015. MOD13A2 MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid V006. NASA EOSDIS Land Processes DAAC. Sioux Falls, SD: USGS Earth Resources Observation and Science (EROS) Center. doi: 10.5067/MODIS/MOD13A2.006
  • Fiore, A.M., D.J. Jacob, I. Bey, R.M. Yantosca, B.D. Field, A.C. Fusco, and J.G. Wilkinson. 2002. Background ozone over the United States in summer: Origin, trend, and contribution to pollution episodes. J. Geophys. Res. Atmos. 107:D15. doi: 10.1029/2001JD000982
  • Franklin, M., and J. Schwartz. 2008. The impact of secondary particles on the association between ambient ozone and mortality. Environ. Health Perspect. 116:453–8. doi: 10.1289/ehp.10777
  • Fry, J.A., G. Xian, S. Jin, J.A. Dewitz, C.G. Homer, Y. LIMIN, C.A. Barnes, N.D. Herold, and J. D Wickham. 2011. Completion of the 2006 National Land Cover Database for the conterminous United States. Photogramm. Eng. Rem. S. 77:858–64.
  • Fusco, A.C., and J.A. Logan. 2003. Analysis of 1970–1995 trends in tropospheric ozone at Northern Hemisphere midlatitudes with the GEOS-CHEM model. J. Geophys. Res. Atmos. 108:D15. doi: 10.1029/2002JD002742
  • Gent, J.F., E.W. Triche, T.R. Holford, K. Belanger, M.B. Bracken, W.S. Beckett, and B.P. Leaderer. 2003. Association of low-level ozone and fine particles with respiratory symptoms in children with asthma. JAMA 290:1859–67. doi: 10.1001/jama.290.14.1859
  • Graedel, T.E., L.A. Farrow, and T.A. Weber. 1977. Photochemistry of the “Sunday effect”. Environ. Sci. Technol. 11:690–4. doi: 10.1021/es60130a005
  • Hao, Y., L. Balluz, H. Strosnider, X. Wen, C. Li, and J.R. Qualters. 2015. Ozone, fine particulate matter, and chronic lower respiratory disease mortality in the United States. Am. J. Respir. Crit. Care 192:337–41. doi: 10.1164/rccm.201410-1852OC
  • Haykin, S. 2004. Neural networks: A comprehensive foundation, 2nd ed. Hamilton, Ontario, Canada: McMaster University.
  • Hoek, G., R. Beelen, K. de Hoogh, D. Vienneau, J. Gulliver, P. Fischer, and D. Briggs. 2008. A review of land-use regression models to assess spatial variation of outdoor air pollution. Atmos. Environ. 42:7561–78. doi: 10.1016/j.atmosenv.2008.05.057
  • Hooyberghs, J., C. Mensink, G. Dumont, and F. Fierens. 2006. Spatial interpolation of ambient ozone concentrations from sparse monitoring points in Belgium. J. Environ. Monit. 8:1129–35. doi: 10.1039/B612607N
  • Jerrett, M., R.T. Burnett, C.A. Pope III, K. Ito, G. Thurston, D. Krewski, Y. Shi, E. Calle, and M. Thun. 2009. Long-term ozone exposure and mortality. N. Engl. J. Med. 360:1085–95. doi: 10.1056/NEJMoa0803894
  • Jhun, I., B.A. Coull, A. Zanobetti, and P. Koutrakis. 2014. The impact of nitrogen oxides concentration decreases on ozone trends in the USA. Air Qual. Atmos. Health. 8:283–92. doi: 10.1007/s11869-014-0279-2
  • Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, A. Leetmaa, R. Reynolds, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K.C. Mo, C. Ropelewski, J. Wang, R. Jenne, and D. Joseph. 1996. The NCEP/NCAR 40-Year Reanalysis Project. Bull. Am. Meteorol. Soc. 77:437–71. doi: 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
  • Kloog, I., F. Nordio, B.A. Coull, and J. Schwartz. 2012. Incorporating local land use regression and satellite aerosol optical depth in a hybrid model of spatiotemporal PM2.5 exposures in the Mid-Atlantic states. Environ. Sci. Technol. 46:11913–21. doi: 10.1021/es302673e
  • Koren, H.S., R.B. Devlin, D.E. Graham, R. Mann, M.P. McGee, D.H. Horstman, W. J. Kozumbo, S. Becker, D.E. House, and W.F. McDonnell. 1989. Ozone-induced inflammation in the lower airways of human subjects. Am. Rev. Respir. Dis. 139:407–15. doi: 10.1164/ajrccm/139.2.407
  • Kottek, M., J. Grieser, C. Beck, B. Rudolf, and F. Rubel. 2006. World map of the Köppen-Geiger climate classification updated. Meteorol. Z. 15:259–63. doi: 10.1127/0941-2948/2006/0130
  • Kroon, M., J.P. Veefkind, M. Sneep, R. McPeters, P. Bhartia, and P. Levelt. 2008. Comparing OMI-TOMS and OMI-DOAS total ozone column data. J. Geophys. Res. Atmos. 113: D16. doi: 10.1029/2007JD008798
  • Krotkov, N., P. Leonard, M. Walters, P. Leonard, and P. Lead. 2012. OMI/Aura Sulfur Dioxide (SO2) Total Column Daily L3 Best Pixel Global 0.25deg Lat/Lon Grid, version 003. Greenbelt, MD: Goddard Space Flight Center Distributed Active Archive Center (GSFC DAAC) (accessed August 30, 2015). doi: 10.5067/Aura/OMI/DATA3008
  • LeCun, Y., and Y. Bengio. 1995. Convolutional networks for images, speech, and time series. In The Handbook of Brain Theory and Neural Networks, ed. M.A. Arbib, 255–8. Cambridge, MA: MIT Press.
  • Lei, W., B.d. Foy, M. Zavala, R. Volkamer, and L. Molina. 2007. Characterizing ozone production in the Mexico City Metropolitan Area: A case study using a chemical transport model. Atmos. Chem. Phys. 7: 1347–66. doi: 10.5194/acp-7-1347-2007
  • Levelt, P.F., G.H. Van den Oord, M.R. Dobber, A. Mälkki, H. Visser, J. De Vries, P. Stammes, J. O. Lundell, and H. Saari. 2006. The ozone monitoring instrument. IEEE Trans. Geosci. Remote Sens. 44:1093–101. doi: 10.1109/TGRS.2006.872333
  • Li, Y., A.K. Lau, J.C. Fung, J. Zheng, and S. Liu. 2013. Importance of NOx control for peak ozone reduction in the Pearl River Delta region. J. Geophys. Res. Atmos. 118:9428–43. doi: 10.1002/jgrd.50659
  • Liu, X., P. Bhartia, K. Chance, L. Froidevaux, R. Spurr, and T. Kurosu. 2010a. Validation of Ozone Monitoring Instrument (OMI) ozone profiles and stratospheric ozone columns with Microwave Limb Sounder (MLS) measurements. Atmos. Chem. Phys. 10:2539–49. doi: 10.5194/acp-10-2539-2010
  • Liu, X., K. Chance, C.E. Sioris, T.P. Kurosu, R.J. Spurr, R.V. Martin, T.M. Fu, J.A. Logan, D.J. Jacob, and P.I. Palmer. 2006. First directly retrieved global distribution of tropospheric column ozone from GOME: Comparison with the GEOS-Chem model. J. Geophys. Res. Atmos. 111:D2. doi: 10.1029/2005JD006564
  • Liu, X.-H., Y. Zhang, J. Xing, Q. Zhang, K. Wang, D.G. Streets, C. Jang, W.-X. Wang, and J.-M. Hao. 2010b. Understanding of regional air pollution over China using CMAQ, part II. Process analysis and sensitivity of ozone and particulate matter to precursor emissions. Atmos. Environ. 44:3719–27. doi: 10.1016/j.atmosenv.2010.03.036
  • Liu, Y., R.J. Park, D.J. Jacob, Q. Li, V. Kilaru, and J.A. Sarnat. 2004. Mapping annual mean ground-level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States. J. Geophys. Res. 109:D22. doi: 10.1029/2004JD005025
  • Loibi, W., W. Winiwarter, A. Kopsca, J. Zufger, and R. Baumann. 1994. Estimating the spatial distribution of ozone concentrations in complex terrain. Atmos. Environ. 28:2557–66. doi: 10.1016/1352-2310(94)90430-8
  • Malmqvist, E., D. Olsson, A. Hagenbjörk-Gustafsson, B. Forsberg, K. Mattisson, E. Stroh, M. Strömgren, E. Swietlicki, L. Rylander, and G. Hoek. 2014. Assessing ozone exposure for epidemiological studies in Malmö and Umeå, Sweden. Atmos. Environ. 94:241–8. doi: 10.1016/j.atmosenv.2014.05.038
  • McConnell, R., K. Berhane, F. Gilliland, S.J. London, T. Islam, W.J. Gauderman, E. Avol, H.G. Margolis, and J.M. Peters. 2002. Asthma in exercising children exposed to ozone: A cohort study. Lancet 359:386–91. doi: 10.1016/S0140-6736(02)07597-9
  • McPeters, R., M. Kroon, G. Labow, E. Brinksma, D. Balis, I. Petropavlovskikh, J.P. Veefkind, P. Bhartia, and P. Levelt. 2008. Validation of the AURA Ozone Monitoring Instrument total column ozone product. J. Geophys. Res. Atmos. 113:D15. doi: 10.1029/2007JD008802
  • Pfister, G., L. Emmons, P. Hess, J. F. Lamarque, A. Thompson, and J. Yorks. 2008. Analysis of the Summer 2004 ozone budget over the United States using Intercontinental Transport Experiment Ozonesonde Network Study (IONS) observations and Model of Ozone and Related Tracers (MOZART-4) simulations. J. Geophys. Res. Atmos. 113:D23. doi: 10.1029/2008JD010190
  • Reidmiller, D., A.M. Fiore, D. Jaffe, D. Bergmann, C. Cuvelier, F. Dentener, B.N. Duncan, G. Folberth, M. Gauss, and S. Gong. 2009. The influence of foreign vs. North American emissions on surface ozone in the US. Atmos. Chem. Phys. 9:5027–42. doi: 10.5194/acp-9-5027-2009
  • Rodgers, C.D. 2000. Inverse Methods for Atmospheric Sounding: Theory and Practice. Singapore: World Scientific
  • Schwartz, J., D.W. Dockery, L.M. Neas, D. Wypij, J. H. Ware, J.D. Spengler, P. Koutrakis, F.E. Speizer, and B.G. Ferris Jr. 1994. Acute effects of summer air pollution on respiratory symptom reporting in children. Am. J. Respir. Crit. Care 150:1234–42. doi: 10.1164/ajrccm.150.5.7952546
  • Sokhi, R.S., R. San José, N. Kitwiroon, E. Fragkou, J.L. Pérez, and D. Middleton. 2006. Prediction of ozone levels in London using the MM5–CMAQ modelling system. Environ. Modell. Softw. 21:566–76. doi: 10.1016/j.envsoft.2004.07.016
  • Sousa, S., M. Alvim-Ferraz, and F. Martins. 2013. Health effects of ozone focusing on childhood asthma: What is now known—A review from an epidemiological point of view. Chemosphere 90:2051–8. doi: 10.1016/j.chemosphere.2012.10.063
  • Tank, J., H. Biller, K. Heusser, O. Holz, A. Diedrich, T. Framke, A. Koch, A. Grosshennig, W. Koch, and N. Krug. 2011. Effect of acute ozone induced airway inflammation on human sympathetic nerve traffic: A randomized, placebo controlled, crossover study. PLoS ONE 6:e18737. doi: 10.1371/journal.pone.0018737
  • Tong, D.Q., and D.L. Mauzerall. 2006. Spatial variability of summertime tropospheric ozone over the continental United States: Implications of an evaluation of the CMAQ model. Atmos. Environ. 40:3041–56. doi: 10.1016/j.atmosenv.2005.11.058.
  • Tranchant, B., and A. Vincent. 2000. Statistical interpolation of ozone measurements from satellite data (TOMS, SBUV and SAGE II) using the kriging method. Ann. Geophys. 18:666–78. doi: 10.1007/s00585-000-0666-x
  • Turner, M.C., M., C. Jerrett, A. Pope, D. Krewski, S.M. Gapstur, W.R. Diver, B.S. Beckerman, J.D. Marshall, J. Su, and D.L. Crouse. 2015. Long-term ozone exposure and mortality in a large prospective study. Am. J. Respir. Crit. Care doi: 10.1164/rccm.201508-1633OC
  • Van Donkelaar, A., R. V. Martin, M. Brauer, R. Kahn, R. Levy, C. Verduzco, and P.J. Villeneuve. 2010. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: Development and application. Environ. Health Perspect. 118:847–55. doi: 10.1289/ehp.0901623
  • Veefkind, J.P., J.F. De Haan, E.J. Brinksma, M. Kroon, and P.F. Levelt. 2006. Total ozone from the Ozone Monitoring Instrument (OMI) using the DOAS technique. IEEE Trans. Geosci. Remote Sens. 44:1239–44. doi: 10.1109/TGRS.2006.871204
  • Wang, L., M. Newchurch, A. Biazar, X. Liu, S. Kuang, M. Khan, and K. Chance. 2011. Evaluating AURA/OMI ozone profiles using ozonesonde data and EPA surface measurements for August 2006, Atmos. Environ. 45:5523–30. doi: 10.1016/j.atmosenv.2011.06.012
  • Wang, M., J.P. Keller, S.D. Adar, S.Y. Kim, T.V. Larson, C. Olives, P.D. Sampson, L. Sheppard, A.A. Szpiro, and S. Vedal. 2015. Development of long-term spatiotemporal models for ambient ozone in six metropolitan regions of the United States: The MESA Air study. Atmos. Environ. 123:79–87. doi: 10.1016/j.atmosenv.2015.10.042
  • Xian, G., C. Homer, J. Dewitz, J. Fry, N. Hossain, and J. Wickham. 2011. Change of impervious surface area between 2001 and 2006 in the conterminous United States. Photogramm. Eng. Rem. S. 77:758–62
  • Zhang, Y., K. Vijayaraghavan, X.Y. Wen, H.E. Snell, and M.Z. Jacobson. 2009. Probing into regional ozone and particulate matter pollution in the United States: 1. A 1 year CMAQ simulation and evaluation using surface and satellite data. J. Geophys. Res. Atmos. 114:D22304. doi: 10.1029/2009JD011898

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