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Technical Papers

Evaluation of air quality zone classification methods based on ambient air concentration exposure

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Pages 550-564 | Received 13 Jun 2016, Accepted 14 Nov 2016, Published online: 28 Mar 2017

References

  • Abdi, H. 2010. Coefficient of variation. In Encyclopedia of Research Design, ed. N. Salkind, 5. London, UK: Sage.
  • Abi-Esber, L., and M. El-Fadel. 2013. Indoor to outdoor air quality associations with self-pollution implications inside passenger car cabins. Atmos. Environ. 81:450–63. doi:10.1016/j.atmosenv.2013.09.040
  • 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
  • Bermudez, R.M., and P.M. Fine. 2010. South Coast Air Quality Management District 5 Year Network Assessment, 94. South Coast Air Quality Management District. https://www3.epa.gov/ttnamti1/files/networkplans/CASCAQMDassess2010.pdf (accessed January 25, 2017).
  • California Air Resources Board. 2013. Air monitoring site list generator. In Air Quality and Meteorological Information System, ed. R. Bhullar. http://www.arb.ca.gov/qaweb/sitelist_create.php (accessed January 25, 2017).
  • Central Statistical Bureau, Kuwait. 2014. Statistics of transportation, trade, agriculture and transport. Kuwait City, Kuwait: Central Statistical Bureau.
  • CIA. 2015. The World Factbook—Kuwait. http://www.epa.gov/airtrends/pm.html (accessed January 25, 2017).
  • Cohen, J., T. Fitz-Simons, and M. Wayland. 1999. Guideline on Data Handling Conventions for the PM NAAQS. Research Triangle Park, NC: U.S. EPA.
  • Colvile, R.N., N.K. Woodfield, D.J. Carruthers, B.E.A. Fisher, A. Rickard, S. Neville, and A. Hughes. 2002. Uncertainty in dispersion modelling and urban air quality mapping. Environ. Sci. Policy 5:207–20. doi:10.1016/S1462-9011(02)00039-4
  • Crosman, E.T., and J.D. Horel. 2010. Sea and lake breezes: A review of numerical studies. Boundary-Layer Meteorol. 137:1–29. doi:10.1007/s10546-010-9517-9
  • Cuxart, J., M.A. Jiménez, M. Telišman Prtenjak, and B. Grisogono. 2014. Study of a sea-breeze case through momentum, temperature, and turbulence budgets. J. Appl. Meteorol. Climatol. 53:2589–609. doi:10.1175/JAMC-D-14-0007.1
  • European Economic Community. 1980. Council Directive 80/779/EEC of 15 July 1980 on air quality limit values and guide values for sulphur dioxide and suspended particulates. European Economic Community.http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:31980L0779&from=EN (accessed January 25, 2017).
  • European Union. 2008. Ambient air quality and cleaner air for Europe, 2008/50/EC. Off. J. Eur. Union. http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32008L0050&from=en (accessed January 25, 2017).
  • Fox, D.G. 1984. Uncertainty in air quality modeling. Bull. Am. Meteorol. Soc. 65:27–36. doi:10.1175/1520-0477(1984)065<0027:UIAQM>2.0.CO;2
  • Freeman, B., B. Gharabaghi, J. Thé, M. Munshed, S. Faisal, M. Abdullah, and A.A. Aseed. 2016. Mapping air quality zones for coastal urban centers. J. Air Waste Manage. (In press) doi:10.1080/10962247.2016.1265025
  • Georgopoulos, P.G., and J.H. Seinfeld. 1982. Statistical distributions of air pollutant concentrations. Environ. Sci. Technol. 16:401A–16A. doi:10.1021/es00101a002
  • Gerharz, L.E., O. Klemm, A.V. Broich, and E. Pebesma. 2013. Spatio-temporal modelling of individual exposure to air pollution and its uncertainty. Atmos. Environ. 64:56–65. doi:10.1016/j.atmosenv.2012.09.069
  • KAMCO. 2013. State of Kuwait: Economic & financial facts. KIPCO Asset Management Company KSC. http://www.kamconline.com/Temp/Reports/48218661-476e-43f1-8d12-ecc124e90e93.pdf (accessed January 25, 2017).
  • Kuwait Environmental Public Authority. 2012. Amendment to provisions in Decision 210/2001 (articles 76 and 79), 1073. Kuwait City, Kuwait: Kuwait Al Yom.
  • Li, H.L., G.H. Huang, and Y. Zou. 2008. An integrated fuzzy-stochastic modeling approach for assessing health-impact risk from air pollution. Stochastic Environ. Res. Risk Assess. 22:789–803.doi:10.1007/s00477-007-0187-1
  • Lonati, G., S. Cernuschi, and M. Giugliano. 2011. The duration of PM10 concentration in a large metropolitan area. Atmos. Environ. 45:137–46.doi:10.1016/j.atmosenv.2010.09.033
  • Lu, H.-C. 2003. Comparisons of statistical characteristic of air pollutants in taiwan by frequency distribution. J. Air Waste Manage. 53:608–16. doi:10.1080/10473289.2003.10466194
  • Lubkert-Alcamo, B. 1994. The update and revision of the 1987 WHO Air Quality Guidelines. Pollut. Atmos. 4232:7.
  • Marshall, J.D., P.W. Granvold, A.S. Hoats, T.E. McKone, E. Deakin, and W.W. Nazaroff. 2006. Inhalation intake of ambient air pollution in California’s South Coast Air Basin. Atmos. Environ. 40:4381–92. doi:10.1016/j.atmosenv.2006.03.034
  • Marshall, J.D., E. Nethery, and M. Brauer. 2008. Within-urban variability in ambient air pollution: Comparison of estimation methods. Atmos. Environ. 42:1359–69. doi:10.1016/j.atmosenv.2007.08.012
  • McCabe, J.G. 2015. Area designation for the 2015 Ozone National Ambient Air Quality Standards. Washington, DC: U.S. EPA.
  • Morel, B., S. Yeh, and L. Cifuentes. 1999. Statistical distributions for air pollution applied to the study of the particulate problem in Santiago. Atmos. Environ. 33:2575–85. doi:10.1016/S1352-2310(98)00380-X
  • Murray, D.R., and M.B. Newman. 2014. Probability analyses of combining background concentrations with model-predicted concentrations. J. Air Waste Manage. Assoc. 64:248–54. doi:10.1080/10962247.2013.846282
  • Noor, N.M., C.-y. Tan, N.A. Ramli, A.S. Yahaya, and N.F.F.M. Yusof. 2011. Assessment of various probability distributions to model pm10 concentration for industrialized area in peninsula Malaysia: A case study in Shah Alam and Nilai. Aust. J. Basic Appl. Sci. 5:2796–811.
  • Osborne, J.W. 2010. Improving your data transformations: Applying the Box–Cox transformation. Practical Assess. Res. Eval. 15(12):1–9.
  • Ott, W.R., and D.T. Mage. 1981. Measuring air quality levels inexpensively at multiple locations by random sampling. J. Air Pollut. Control Assoc. 31:365–69. doi:10.1080/00022470.1981.10465230
  • Palisades. 2015. @RISK User’s Guide—Risk Analysis and Simulation Add-In for Microsoft® Excel. Ithaca, NY: Palisades Corporation.
  • Pan, X., and P. Lee. 2009. California State and Local Air Monitoring Network Plan. Sacramento, CA California Environmental Protection Agency.
  • Pernigotti, D., M. Gerboles, C.A. Belis, and P. Thunis. 2013. Model quality objectives based on measurement uncertainty. Part II: NO2 and PM10. Atmos. Environ. 79:869–78. doi:10.1016/j.atmosenv.2013.07.045
  • Pratt, G.C., M. Dymond, K. Ellickson, and J. The. 2012. Validation of a novel air toxic risk model with air monitoring. Risk Anal. 32(1):96–112.
  • R Core Team. 2015. R: A Language and Environment for Statistical Computing, 3.1.3. Vienna, Austria: R Foundation for Statistical Computing.
  • Rivera-González, L.O., Z. Zhang, B.N. Sánchez, K. Zhang, D.G. Brown, L. Rojas-Bracho, A. Osornio-Vargas, F. Vadillo-Ortega, and M.S. O’Neill. 2015. An assessment of air pollutant exposure methods in Mexico City, Mexico. J. Air Waste Manage. Assoc. 65:581–91. doi:10.1080/10962247.2015.1020974
  • Ruxton, G.D. 2006. The unequal variance t-test is an underused alternative to Student’s t-test and the Mann–Whitney U test. Behav. Ecol. 17:688–90. doi:10.1093/beheco/ark016
  • Sanhueza, P., J. Pizarro, C, Vargas, M. Torreblanca, and M. Passalacqua. 2010. Health risk estimation due to carbon monoxide pollution at different spatial levels in Santiago, Chile. Environ. Monit. Assess. 167:165–73. doi:10.1007/s10661-009-1039-x
  • Schembari, A., M. Triguero-Mas, A.D. Nazelle, P. Dadvand, M. Vrijheid, M. Cirach, D. Martinez, F. Figueras, X. Querol, X. Basagaña, M. Eeftens, K. Meliefste, and M.J. Nieuwenhuijsen. 2013. Personal, indoor and outdoor air pollution levels among pregnant women. Atmos. Environ. 64:287–95. doi:10.1016/j.atmosenv.2012.09.053
  • Sharma, P., P. Sharma, S. Jain, and P. Kumar. 2013. An integrated statistical approach for evaluating the exceedence of criteria pollutants in the ambient air of megacity Delhi. Atmos. Environ. 70:7–17. doi:10.1016/j.atmosenv.2013.01.004
  • South Coast Air Quality Management District. 2010. Introduction to the South Coast Air Quality Management District, 2. Diamond Bar, CA: South Coast Air Quality Management District.
  • Tan, Y., A.L. Robinson, and A.A. Presto. 2014. Quantifying uncertainties in pollutant mapping studies using the Monte Carlo method. Atmos. Environ. 99:333–40. doi:10.1016/j.atmosenv.2014.10.003
  • Thunis, P., D. Pernigotti, and M. Gerboles. 2013. Model quality objectives based on measurement uncertainty. Part I: Ozone. Atmos. Environ. 79:861–68. doi:10.1016/j.atmosenv.2013.05.018
  • U.S. Environmental Protection Agency. 1970. National Ambient Air Quality Standards (NAAQS), 40 CFR part 50. Fed. Reg. https://www.law.cornell.edu/cfr/text/40/part-50 (accessed January 25, 2017).
  • U.S. Environmental Protection Agency. 1991. Designation of areas for air quality planning purposes. 40CFR81. https://www.law.cornell.edu/cfr/text/40/part-81 (accessed January 25, 2017).
  • U.S. Environmental Protection Agency. 2005a. An Explanation of EPA’s Nine-Factor Analysis, Technical support document for December 17, 2004 designations. https://www3.epa.gov/pmdesignations/1997standards/documents/final/TSD/Ch5.pdf (accessed January 25, 2017).
  • U.S. Environmental Protection Agency. 2005b. Human Health Risk Assessment Protocol for Hazardous Waste Combustion Facilities, 1284. Washington, DC: Office of Solid Waste and Emergency Response. https://epa-prgs.ornl.gov/radionuclides/2005_HHRAP.pdf (accessed March 22, 2017).
  • U.S. Environmental Protection Agency. 2007. Clean Air Act, Operating Schedules. 40 CFR 58.12. https://www.gpo.gov/fdsys/granule/CFR-2014-title40-vol6/CFR-2014-title40-vol6-sec58-12/content-detail.html (accessed January 25, 2017).
  • U.S. Environmental Protection Agency. 2016a. National Ambient Air Quality Standards (NAAQS). https://www.epa.gov/criteria-air-pollutants/naaqs-table (accessed January 25, 2017).
  • U.S. Environmental Protection Agency. 2016b. National Area and County-Level Multi-Pollutant Information, Green Book Nonattainment Areas. U.S. EPA. https://www.epa.gov/green-book/green-book-national-area-and-county-level-multi-pollutant-information (accessed January 25, 2017).
  • Walpole, S.C., D. Prieto-Merino, P. Edwards, J. Cleland, G. Stevens, and J. Roberts. 2012. The weight of nations: An estimation of adult human biomass. BMC Public Health 12:1–6. doi:10.1186/1471-2458-12-439
  • World Health Organization. 2006. WHO Air Quality Guidelines for Particulate Matter, Ozone, Nitrogen Dioxide and Sulfur Dioxide. Global Update 2005. Summary of Risk Assessment. Geneva, Switzerland: World Health Organization.
  • Zhang, K., and S. Batterman. 2013. Air pollution and health risks due to vehicle traffic. Sci. Total Environ. 450–51:307–16. doi:10.1016/j.scitotenv.2013.01.074

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