Investigation of roadside fine particulate matter concentration surrounding major arterials in five Southern Californian cities

Journal of the Air and Waste Management Association

Volumn 63, Issue 4, 2013, Pages 482-498

  Pan, Hansheng ^a   Bartolome, Christian ^a   Gutierrez, Eric ^a   Princevac, Marko ^a   Edwards, Rufus ^b   Boarnet, Marlon G ^c   Houston, Douglas ^d  

^a University of California Riverside   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVES; BUILDINGS; HEALTH RISKS; HEAT FLUX; PARTICLES (PARTICULATE MATTER); PUBLIC HEALTH; PUBLIC RISKS; ROADSIDES; STRUCTURAL DESIGN; TURBULENCE; ZONING;

BACKGROUND CONCENTRATION; FINE PARTICULATE MATTER; GENERALIZED ADDITIVE MODEL; MONIN-OBUKHOV SIMILARITY THEORY; PARTICLE CONCENTRATIONS; TEMPERATURE FLUCTUATION; TURBULENCE CHARACTERISTICS; URBAN PLANNING STRATEGIES;

URBAN GROWTH;

ANEMOMETER; ARTICLE; BUILDING; CITY; CONCENTRATION (PARAMETERS); DISPERSION; EXHAUST GAS; FORECASTING; FRICTION; HUMAN; MEASUREMENT; METEOROLOGY; MORPHOMETRICS; PARTICULATE MATTER; PRIORITY JOURNAL; PUBLIC HEALTH PROBLEM; TEMPERATURE; TRAFFIC; UNITED STATES; URBAN AREA; VELOCITY; WIND;

EID: 84875922843     PISSN: 10962247     EISSN: 21622906     Source Type: Journal    
DOI: 10.1080/10962247.2013.763867     Document Type: Article

References (59)

1. Air Resources Board, California. 2012. Air Monitoring Network http://www.arb.ca.gov/aaqm/mldaqsb/amn.htm (http://www.arb.ca.gov/aaqm/mldaqsb/amn.htm) (Accessed: 11 July 2012).
2. Aldrin, M. and Haff, I.H. 2005. Generalised additive modelling of air pollution, traffic volume and meteorology. Atmos. Environ., 39: 2145-2155. doi:10.1016/j.atmosenv.2004.12.020
3. Carslaw, D.C., Beevers, S.D. and Tate, J.E. 2007. Modelling and assessing trends in traffic-related emissions using a generalised additive modelling approach. Atmos. Environ., 41: 5289-5299. doi:10.1016/j.atmosenv.2007.02.032
4. Allwine, K.J., Shinn, J.H., Streit, G.E., Clawson, K.L. and Brown, M. 2002. Overview of URBAN 2000: A multiscale field study of dispersion through an urban environment. Bull. Am. Meteorol. Soc., 83: 521-536. doi:10.1175/1520-0477(2002)083
5. Arnold, S.J., ApSimon, H., Barlow, J., Belcher, S., Bell, M., Boddy, J.W., Britter, R., Cheng, H., Clark, R., Colvile, R.N., Dimitroulopoulou, S., Dobre, A., Greally, B., Kaur, S., Knights, A., Lawton, T., Makepeace, A., Martin, D., Neophytou, M., Neville, S., Nieuwenhuijsen, M., Nickless, G., Price, C., Robins, A., Shallcross, D., Simmonds, P., Smalley, R.J., Tate, J., Tomin, A.S., Wang, H. and Walsh, P. 2004. Introduction to the DAPPLE air pollution project. Sci. Total Environ., 332: 139-153. doi:10.1016/j.scitotenv.2004.04.020
6. Baik, J.-J. and Kim, J.-J. 1999. A numerical study of flow and pollutant dispersion characteristics in urban street canyons. J. Appl. Meteorol., 38: 1576-1589. doi:10.1175/1520-0450(1999)038<1576:ANSOFA>2.0.CO;2
7. Bentham, T. and Britter, R.E. 2003. Spatially averaged flow within obstacle arrays. Atmos. Environ., 37: 2037-2043. doi:10.1016/S1352-2310(03)00123-7
8. Berkowicz, R. 2000. OSPM-A parameterised street pollution model. Environ. Monit. Assess., 65: 323-331. doi:10.1023/A:1006448321977
9. Boarnet, M.G., Houston, D., Edwards, R., Princevac, M., Ferguson, G., Pan, H. and Bartolome, C. 2011. Fine particulate concentrations on sidewalks in five Southern California cities. Atmos. Environ., 45: 4025-4033. doi:10.1016/j.atmosenv.2011.04.047
10. Bou-Zeid, E., Overney, J., Rogers, B.D. and Parlange, M.B. 2009. The effects of building representation and clustering in large-eddy simulations of flows in urban canopies. Boundary-Layer Meteorol., 132: 415-436. doi:10.1007/s10546-009-9410-6
11. Britter, R.E. and Hanna, S.R. 2003. Flow and dispersion in urban areas. Ann. Rev. Fluid Mech., 35: 469-496. doi:10.1146/annurev.fluid.35.101101.161147
12. Carslaw, D.C., Beevers, S.D. and Tate, J.E. 2007. Modelling and assessing trends in traffic-related emissions using a generalised additive modelling approach. Atmos. Environ., 41: 5289-5299. doi:10.1016/j.atmosenv.2007.02.032
13. Chung, A., Chang, D.P.Y., Kleeman, M.J., Perry, K.D., Cahill, T.A., Dutcher, D., McDougall, E.M. and Stroud, K. 2001. Comparison of real-time instruments used to monitor airborne particulate matter. J. Air Waste Manage. Assoc., 51: 109-120. doi:10.1080/10473289.2001.10464254
14. City of Pasadena, California. 2012. Citywide traffic volume map year 2009 & 2010 http://www.ci.pasadena.ca.us/Transportation/Traffic_Counts (http://www.ci.pasadena.ca.us/Transportation/Traffic_Counts) (Accessed: 11 July 2012).
15. City of Long Beach, California. 2012. 2001 Citywide traffic flow map http://www.longbeach.gov/pw/maps (http://www.longbeach.gov/pw/maps) (Accessed: 11 July 2012).
16. City of Los Angeles, California. 2012. 2001-08 Traffic volume book http://ladot.lacity.org/2001_08Countbookpdfs/book2001-08.htm (http://ladot.lacity.org/2001_08Countbookpdfs/book2001-08.htm) (Accessed: 11 July 2012).
17. City of Huntington Beach, California. 2012. Traffic counts map http://www.huntingtonbeachca.gov/files/users/economic_development/traffic06.pdf (http://www.huntingtonbeachca.gov/files/users/economic_development/traffic06.pdf) (Accessed: 11 July 2012).
18. Counihan, J. 1971. Wind tunnel determination of the roughness length as a function of the fetch and the roughness density of three-dimensional roughness elements. Atmos. Environ., 5: 637-642. doi:10.1016/0004-6981(71)90120-X
19. Dimotakis, P.E. 2005. Turbulent mixing. Annu. Rev. Fluid Mech., 37: 329-356. doi:10.1146/annurev.fluid.36.050802.122015
20. Dobre, A., Arnold, S.J., Smalley, R.J., Boddy, J.W.D., Barlow, J.F., Tomlin, A.S. and Belcher, S.E. 2005. Flow field measurements in the proximity of an urban intersection in London, UK. Atmos. Environ., 39: 4647-4657. doi:10.1016/j.atmosenv.2005.04.015
21. Eliasson, I., Offerle, B., Grimmond, C.S.B. and Lindqvist, S. 2006. Wind fields and turbulence statistics in an urban street canyon. Atmos. Environ., 40: 1-16. doi:10.1016/j.atmosenv.2005.03.031
22. 2.5 concentrations at urban traffic intersection during winter period. Sci. Total. Environ., 394: 9-24. doi:10.1016/j.scitotenv.2008.01.020
23. Golub, G.H., Heath, M. and Wahba, G. 1979. Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics, 21: 215-223. doi:10.2307/1268518
24. Hanna, S.R., White, J. and Zhou, Y. 2007. Observed winds, turbulence, and dispersion in built-up downtown areas of Oklahoma City and Manhattan. Boundary-Layer Meteorol., 125: 441-468. doi:10.1007/s10546-007-9197-2
25. Hastie, T. and Tibshirani, R. 1990. Generalized Additive Models, London, UK: Chapman and Hall.
26. Kaimal, J. C. and Finnigan, J. J. 1994. Atmospheric Boundary Layer Flows: Their Structure and Measurement, New York, NY: Oxford University Press.
27. Kastner-Klein, P., Fedorovich, E., Ketzel, M., Berkowicz, R. and Britter, R. 2003. The modelling of turbulence from traffic in urban dispersion models-Part II: Evaluation against laboratory and full-scale concentration measurements in street canyons. Environ. Fluid Mech., 3: 145-172. doi:10.1023/A:1022049224166
28. 10 monitors in a woodsmoke environment. Atmos. Environ., 40: 338-347. doi:10.1016/j.atmosenv.2005.09.042
29. Klein, P. and Clark, J.V. 2007. Flow variability in a North American downtown street canyon. J. Appl. Meteorol. Climatol., 46: 851-877. doi:10.1175/JAM2494.1
30. Louka, P., Vachon, G., Sini, J., Mestayer, P. and Rosant, J. 2002. Thermal effects on the airflow in a street canyon-Nantes'99 experimental results and model simulations. Water Air Soil Pollut. Focus, 2: 351-364. doi:10.1023/A:1021355906101
31. Macdonald, R., Griffiths, R. and Hall, D. 1998a. A comparison of results from scaled field and wind tunnel modelling of dispersion in arrays of obstacles. Atmos. Environ., 32: 3845-3862. doi:10.1016/S1352-2310(98)80006-X
32. MacDonald, R. W., Griffiths, R. F. and Hall, D. J. 1998b. An improved method for the estimation of surface roughness of obstacle arrays. Atmos. Environ., 32: 1857-1864. doi:10.1016/S1352-2310(97)00403-2
33. National Oceanic and Atmospheric Administration's National Weather Service. 2009 http://w1.weather.gov/glossary/index.php?letter=v (http://w1.weather.gov/glossary/index.php?letter=v) (Accessed: 4 December 2012).
34. Nelson, M.A., Pardyjak, E.R., Klewicki, J.C., Pol, S.U. and Brown, M.J. 2007a. Properties of the wind field within the Oklahoma City Park Avenue street canyon. Part I: Mean flow and turbulence statistics. J. Appl. Meteorol. Climatol., 46: 2038-2054. doi:10.1175/2006JAMC1427.1
35. Nelson, M.A., Pardyjak, E.R., Brown, M.J. and Klewicki, J.C. 2007b. Properties of the wind field within the Oklahoma City Park Avenue street canyon. Part II: Spectra, cospectra, and quadrant analyses. J. Appl. Meteorol. Climatol., 46: 2055-2073. doi:10.1175/2006JAMC1290.1
36. Neofytou, P., Haakana, M., Venetsanos, A., Kousa, A., Bartzis, J. and Kukkonen, J. 2008. Computational fluid dynamics modelling of the pollution dispersion and comparison with measurements in a street canyon in Helsinki. Environ. Model Assess., 13: 439-448. doi:10.1007/s10666-007-9110-x
37. Orange County Transportation Authority, California. 2012. Annual traffic volume maps for year 2008 http://www.octa.net/pdf/2008-ADT.pdf (http://www.octa.net/pdf/2008-ADT.pdf) (Accessed: 11 July 2012).
38. Patra, A., Colvile, R., Arnold, S., Bowen, E., Shallcross, D., Martin, D., Price, C., Tate, J., ApSimon, H. and Robins, A. 2008. On street observations of particulate matter movement and dispersion due to traffic on an urban road. Atmos. Environ., 42: 3911-3926. doi:10.1016/j.atmosenv.2006.10.070
39. Pascheke, F., Barlow, J. and Robins, A. 2008. Wind-tunnel modelling of dispersion from a scalar area source in urban-like roughness. Boundary-Layer Meteorol., 126: 103-124. doi:10.1007/s10546-007-9222-5
40. Princevac, M., Baik, J. J., Li, X., Pan, H. and Park, S. 2009. Lateral channeling within rectangular arrays of cubical obstacles. J. Wind Eng. Ind. Aerodynam., 98: 377-385. doi:10.1016/ j.jweia. 2009.11.001
41. R Development Core Team, 2012. R: A language and environment for statistical computing http://www.R-project.org (http://www.R-project.org) (Accessed: 11 July 2012).
42. 2.5 and black carbon concentrations with traffic, idling, background pollution, and meteorology during school dismissals. Sci. Total Environ., 407: 3357-3364. doi:10.1016/j.scitotenv.2009.01.046
43. Rotach, M.W., Gryning, S.E., Batchvarova, E., Christen, A. and Vogt, R. 2004. Pollutant dispersion close to an urban surface-The BUBBLE tracer experiment. Meteorol. Atmos. Phys., 87: 39-56. doi:10.1007/s00703-003-0060-9
44. Roth, M. 2000. Review of atmospheric turbulence over cities. Q. J. R. Meteorol. Soc., 126: 941-990. doi:10.1002/qj.49712656409
45. Simoëns, S. and Wallace, J. 2008. The flow across a street canyon of variable width-Part 2: Scalar dispersion from a street level line source. Atmos. Environ., 42: 2489-2503. doi:10.1016/j.atmosenv.2007.12.013
46. Stewart, L. and Oke, T.R. 2009. Newly developed "thermal climate zone" for defining and measuring urban heat island magnitude in the canopy layer. Paper presented at the 89th American Meteorological Society Annual Meeting, Phoenix, AZ, January,: 11-15.
47. Tay, B. K., McFiggans, G.B., Jones, D.P., Gallagher, M.W., Martin, C., Watkins, P. and Harrison, R.M. 2009. Linking aerosol fluxes in street canyons to urban city-scale emissions. Atmos. Chem. Phys. Disscuss., 9: 18065-18112. doi:10.5194/acpd-9-18065-2009
48. Theurer, W. 1999. Typical building arrangements for urban air pollution modelling. Atmos. Environ., 33: 4057-4066. doi:10.1016/S1352-2310(99)00147-8
49. USDA Forest Service Technology & Development Program. 2006. Smoke particulate monitors: 2006 Update http://www.fs.fed.us/t-d/pubs/htmlpubs/htm06252842/index.htm (http://www.fs.fed.us/t-d/pubs/htmlpubs/htm06252842/index.htm) (Accessed: 11 July 2012).
50. 10 http://www.epa.gov/ttnamti1/files/ambient/pm25/network/r-99-022.pdf (http://www.epa.gov/ttnamti1/files/ambient/pm25/network/r-99-022.pdf) (Accessed: 11 July 2012).
51. Vardoulakis, S., Valiantis, M., Milner, J. and ApSimon, H. 2007. Operational air pollution modelling in the UK-Street canyon applications and challenges. Atmos. Environ., 41: 4622-4637. doi:10.1016/j.atmosenv.2007.03.039
52. Venkatram, A., Isakov, V., Seila, R. and Baldauf, R. 2009. Modeling the impacts of traffic emissions on air toxics concentrations near roadways. Atmos. Environ., 43: 3191-3199. doi:10.1016/j.atmosenv.2009.03.046
53. Watson, J.G. and Chow, J.C. 2001. Estimating middle-, neighborhood- and urban-scale contributions to elemental carbon in Mexico City with a rapid response aethalometer. J. Air Waste Manage. Assoc., 511: 1522-1528. doi:10.1080/10473289.2001.10464379
54. Weber, S., Kuttler, W. and Weber, K. 2006. Flow characteristics and particle mass and number concentration variability within a busy urban street canyon. Atmos. Environ., 40: 7565-7578. doi:10.1016/j.atmosenv.2006.07.002
55. Westmoreland, E.J., Carslaw, N., Carslaw, D.C., Gillah, A. and Bates, E. 2007. Analysis of air quality within a street canyon using statistical and dispersion modelling techniques. Atmos. Environ., 41: 9195-9205. doi:10.1016/j.atmosenv.2007.07.057
56. Wood, S.N. and Augustin, N.H. 2002. GAMs with integrated model selection using penalized regression splines and applications to environmental modeling. Ecol. Model., 157: 157-177. doi:10.1016/S0304-3800(02)00193-X
57. Wood, S.N. 2006. Generalized additive models: An introduction with R, Boca Raton, FL: Chapman and Hall/CRC.
58. Yee, E., Gailis, R.M., Hill, A., Hilderman, T. and Kiel, D. 2006. Comparison of wind-tunnel and water-channel simulations of plume dispersion through a large array of obstacles with a scaled field experiment. Boundary-Layer Meteorol., 121: 389-432. doi:10.1007/s10546-006-9084-2
59. Zhou, Y. and Levy, J.I. 2008. The impact of urban street canyons on population exposure to traffic-related primary pollutants. Atmos. Environ., 42: 3087-3098. doi:10.1016/j.atmosenv.2007.12.037