Robustness of Land-Use Regression Models Developed from Mobile Air Pollutant Measurements

Environmental Science and Technology

Volumn 51, Issue 7, 2017, Pages 3938-3947

  Hatzopoulou, Marianne ^a   Valois, Marie France ^b   Levy, Ilan ^c,d   Mihele, Cristian ^c   Lu, Gang ^c   Bagg, Scott ^b   Minet, Laura ^a   Brook, Jeffrey ^c  

^a UNIVERSITY OF TORONTO   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c ENVIRONMENT CANADA   (Canada)

^d TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION; IMPORTANCE SAMPLING; LAND USE; LOCATION; POLLUTION;

AIR POLLUTANT CONCENTRATIONS; AVERAGE CONCENTRATION; COEFFICIENT OF VARIATION; LAND USE REGRESSION; LAND-USE REGRESSION MODELS; REGRESSION COEFFICIENT; SHORT-TERM MONITORING; ULTRAFINE PARTICLE;

REGRESSION ANALYSIS;

NITROGEN DIOXIDE; AIR POLLUTANT; PARTICULATE MATTER;

AIR SAMPLING; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); LAND USE; NUMERICAL MODEL; POLLUTANT; POLLUTION MONITORING; REGRESSION ANALYSIS; SAMPLING; SPATIAL VARIATION;

AIR POLLUTANT; AIR SAMPLING; AIRBORNE PARTICLE; ARTICLE; CANADA; CONCENTRATION (PARAMETERS); LAND USE; PARTICLE SIZE; POLLUTION MONITORING; REGRESSION ANALYSIS; AIR POLLUTION; ENVIRONMENTAL MONITORING; PARTICULATE MATTER; THEORETICAL MODEL;

CANADA; MONTREAL; QUEBEC [CANADA];

AIR POLLUTANTS; AIR POLLUTION; ENVIRONMENTAL MONITORING; MODELS, THEORETICAL; PARTICULATE MATTER; REGRESSION ANALYSIS;

EID: 85019614580     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/acs.est.7b00366     Document Type: Article

References (42)

1. Crouse, D. L.; Goldberg, M. S.; Ross, N. A.; Chen, H.; Labreche, F. Postmenopausal breast cancer is associated with exposure to traffic-related air pollution in Montreal, Canada: A case-control study Environ. Health Perspect. 2010, 118, 1578-1583 10.1289/ehp.1002221
2. 2 exposures in a metropolis with a high density of traffic roads and population Sci. Total Environ. 2014, 472, 1163-1171 10.1016/j.scitotenv.2013.11.064
3. 2 health effects in children with asthma J. Exposure Sci. Environ. Epidemiol. 2015, 25, 567-573 10.1038/jes.2014.60
4. Hamra, G. B.; Laden, F.; Cohen, A. J.; Raaschou-Nielsen, O.; Brauer, M.; Loomis, D. Lung cancer and exposure to nitrogen dioxide and traffic: A systematic review and meta-analysis Environ. Health Perspect. 2015, 123, 1107-1112 10.1289/ehp.1408882
5. Araujo, J. Particulate air pollution, systemic oxidative stress, inflammation, and atherosclerosis Air Qual., Atmos. Health 2011, 4, 79-93 10.1007/s11869-010-0101-8
6. Bard, D.; Kihal, W.; Schillinger, C.; Fermanian, C.; Ségala, C.; Glorion, S.; Arveiler, D.; Weber, C., Traffic-related air pollution and the onset of myocardial infarction: Disclosing benzene as a trigger? A small-area case-crossover study. PLoS One 2014, 9. e100307 10.1371/journal.pone.0100307
7. Briggs, D. J.; Collins, S.; Elliott, P.; Fischer, P.; Kingham, S.; Lebret, E.; Pryl, K.; Van Reeuwijk, H.; Smallbone, K.; Van Der Veen, A. Mapping urban air pollution using GIS: a regression-based approach Int. J. Geogr. Inf. Sci. 1997, 11, 699-718 10.1080/136588197242158
8. Briggs, D. J.; de Hoogh, C.; Gulliver, J.; Wills, J.; Elliott, P.; Kingham, S.; Smallbone, K. A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments Sci. Total Environ. 2000, 253, 151-167 10.1016/S0048-9697(00)00429-0
9. Brauer, M.; Hoek, G.; van Vliet, P.; Meliefste, K.; Fischer, P.; Gehring, U.; Heinrich, J.; Cyrys, J.; Bellander, T.; Lewne, M.; Brunekreef, B. Estimating long-term average particulate air pollution concentrations: Application of traffic indicators and geographic information systems Epidemiology 2003, 14, 228-239 10.1097/01.EDE.0000041910.49046.9B
10. Jerrett, M.; Arain, M. A.; Kanaroglou, P.; Beckerman, B.; Crouse, D.; Gilbert, N. L.; Brook, J. R.; Finkelstein, N.; Finkelstein, M. M. Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada J. Toxicol. Environ. Health, Part A 2007, 70 (A) 200-212 10.1080/15287390600883018
11. Crouse, D. L.; Goldberg, M. S.; Ross, N. A. A prediction-based approach to modelling temporal and spatial variability of traffic-related air pollution in Montreal, Canada Atmos. Environ. 2009, 43, 5075-5084 10.1016/j.atmosenv.2009.06.040
12. Hoek, G.; Beelen, R.; de Hoogh, K.; Vienneau, D.; Gulliver, J.; Fischer, P.; Briggs, D. A review of land-use regression models to assess spatial variation of outdoor air pollution Atmos. Environ. 2008, 42, 7561-7578 10.1016/j.atmosenv.2008.05.057
13. Hochadel, M.; Heinrich, J.; Gehring, U.; Morgenstern, V.; Kuhlbusch, T. Predicting long-term average concentrations of traffic-related air pollutants using GIS-based information Atmos. Environ. 2006, 40, 542-553 10.1016/j.atmosenv.2005.09.067
14. Gilbert, N.; Goldberg, M.; Beckerman, B.; Brook, J.; Jerrett, M. Assessing spatial variability of ambient nitrogen dioxide in Montréal, Canada, with a land-use regression model J. Air Waste Manage. Assoc. 2005, 55, 1059-1063 10.1080/10473289.2005.10464708
15. Sahsuvaroglu, T.; Arain, A.; Kanaroglou, P.; Finkelstein, N.; Newbold, B.; Jerrett, M.; Beckerman, B.; Brook, J.; Finkelstein, M.; Gilbert, N. L. A Land Use Regression Model for Predicting Ambient Concentrations of Nitrogen Dioxide in Hamilton, Ontario, Canada J. Air Waste Manage. Assoc. 2006, 56, 1059-1069 10.1080/10473289.2006.10464542
16. Arain, M. A.; Blair, R.; Finkelstein, N.; Brook, J. R.; Sahsuvaroglu, T.; Beckerman, B.; Zhang, L.; Jerrett, M. The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies Atmos. Environ. 2007, 41, 3453-3464 10.1016/j.atmosenv.2006.11.063
17. Henderson, S. B.; Beckerman, B.; Jerrett, M.; Brauer, M. Application of Land Use Regression to Estimate Long-Term Concentrations of Traffic-Related Nitrogen Oxides and Fine Particulate Matter Environ. Sci. Technol. 2007, 41, 2422-2428 10.1021/es0606780
18. Klompmaker, J. O.; Montagne, D. R.; Meliefste, K.; Hoek, G.; Brunekreef, B. Spatial variation of ultrafine particles and black carbon in two cities: results from a short-term measurement campaign Sci. Total Environ. 2015, 508, 266-275 10.1016/j.scitotenv.2014.11.088
19. Deville Cavellin, L.; Weichenthal, S.; Tack, R.; Ragettli, M. S.; Smargiassi, A.; Hatzopoulou, M. Investigating the Use Of Portable Air Pollution Sensors to Capture the Spatial Variability Of Traffic-Related Air Pollution Environ. Sci. Technol. 2016, 50, 313-320 10.1021/acs.est.5b04235
20. Abernethy, R. C.; Allen, R. W.; McKendry, I. G.; Brauer, M. A Land Use Regression Model for Ultrafine Particles in Vancouver, Canada Environ. Sci. Technol. 2013, 47, 5217-5225 10.1021/es304495s
21. Sabaliauskas, K.; Jeong, C. H.; Yao, X.; Reali, C.; Sun, T.; Evans, G. Development of a land-use regression model for ultrafine particles in Toronto, Canada Atmos. Environ. 2015, 110, 84-92 10.1016/j.atmosenv.2015.02.018
22. Weichenthal, S.; Van Ryswyka, K.; Goldstein, A.; Shekarrizfard, M.; Hatzopoulou, M. Characterizing the Spatial Distribution of Ambient Ultrafine Particles in Toronto, Canada: A Land Use Regression Model Environ. Pollut. 2016, 208 (A) 241-248 10.1016/j.envpol.2015.04.011
23. Weichenthal, S.; Van Ryswyk, K.; Goldstein, A.; Bagg, S.; Shekarrizfard, M.; Hatzopoulou, M. A land use regression model for ambient ultrafine particles in Montreal, Canada: A comparison of linear regression and a machine learning approach Environ. Res. 2016, 146, 65-72 10.1016/j.envres.2015.12.016
24. Rivera, M.; Basagana, X.; Aguilera, I.; Agis, D.; Bouso, L.; Foraster, M.; Medina-Ramon, M.; Pey, J.; Kunzli, N.; Hoek, G. Spatial distribution of ultrafine particles in urban settings: a land use regression model Atmos. Environ. 2012, 54, 657-666 10.1016/j.atmosenv.2012.01.058
25. Hoek, G.; Beelen, R.; Kos, G.; Dijkema, M.; Van Der Zee, S. C.; Fischer, P. H.; Brunekreef, B. Land use regression model for ultrafine particles in Amsterdam Environ. Sci. Technol. 2011, 45, 622-628 10.1021/es1023042
26. Beckerman, B.; Jerrett, M.; Martin, R. V.; Lee, S.; Donkelaar, A. Van; Ross, Z.; Su, J.; Burnett, R. A hybrid approach to estimating national scale spatiotemporal variability of PM in the contiguous United States Environ. Sci. Technol. 2013, 47, 7233-7241 10.1021/es400039u
27. Reyes, L.; Serre, M. An LUR/BME framework to estimate PM explained by on-road mobile and stationary sources Environ. Sci. Technol. 2014, 48, 1736-1744 10.1021/es4040528
28. Levy, I.; Mihele, C.; Lu, G.; Narayan, J.; Hilker, N.; Brook, J. R. Elucidating multipollutant exposure across a complex metropolitan area by systematic deployment of a mobile laboratory Atmos. Chem. Phys. 2014, 14, 7173-7193 10.5194/acp-14-7173-2014
29. Kerckhoffs, J.; Hoek, G.; Messier, K. P.; Brunekreef, B.; Meliefste, K.; Klompmaker, J. O.; Vermeulen, R. Comparison of ultrafine particle and black carbon concentration predictions from a mobile and short-term stationary land-use regression model Environ. Sci. Technol. 2016, 50, 12894-12902 10.1021/acs.est.6b03476
30. 2.5, particle size) using mobile monitoring Environ. Sci. Technol. 2015, 49, 9194-9202 10.1021/acs.est.5b01209
31. 10 land use regression models in high-density Hong Kong with urban morphological factors Environ. Sci. Technol. 2016, 50, 8178-8187 10.1021/acs.est.6b01807
32. Van den Bossche, J.; Peters, J.; Verwaeren, J.; Botteldooren, D.; Theunis, J.; De Baets, B. Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset Atmos. Environ. 2015, 105, 148-161 10.1016/j.atmosenv.2015.01.017
33. Saraswat, A.; Apte, J. S.; Kandlikar, M.; Brauer, M.; Henderson, S. B.; Marshall, J. D. Spatiotemporal Land Use Regression Models of Fine, Ultrafine, and Black Carbon Particulate Matter in New Delhi, India Environ. Sci. Technol. 2013, 47, 12903-12911 10.1021/es401489h
34. Zou, B.; Wilson, J. G.; Zhan, F. B.; Zeng, Y. Air pollution exposure assessment methods utilized in epidemiological studies J. Environ. Monit. 2009, 11, 475-490 10.1039/b813889c
35. Sioutas, C.; Delfino, R. J.; Singh, M. Exposure assessment for atmospheric Ultrafine Particles (UFPs) and implications in epidemiologic research Environ. Health Perspect. 2005, 113, 947-955 10.1289/ehp.7939
36. Westerdahl, F.; Fruin, S.; Sax, T.; Fine, P. M.; Sioutas, C. Mobile platform measurements of ultrafine particles and associated pollutant concentrations on freeways and residential streets in Los Angeles Atmos. Environ. 2005, 39, 3597-3610 10.1016/j.atmosenv.2005.02.034
37. Kumar, P.; Morawska, L.; Birmili, W.; Paasonen, P.; Hu, M.; Kulmala, M.; Harrison, R. M.; Norford, L.; Britter, R. Ultrafine particles in cities Environ. Int. 2014, 66, 1-10 10.1016/j.envint.2014.01.013
38. Lee, J. D.; M?ller, S. J.; Read, K. A.; Lewis, A. C.; Mendes, L.; Carpenter, L. J. Year-round measurements of nitrogen oxides and ozone in the tropical North Atlantic marine boundary layer J. Geophys. Res. 2009, 114, D21302 10.1029/2009JD011878
39. Sider, T.; Alam, A.; Zukari, M.; Dugum, H.; Goldstein, N.; Eluru, N.; Hatzopoulou, M. Land-Use and Socio-Economics as Determinants of Traffic Emissions and Individual Exposure to Air Pollution J. Transp. Geogr. 2013, 33, 230-239 10.1016/j.jtrangeo.2013.08.006
40. Li, L. F.; Wu, J.; Hudda, N.; Sioutas, C.; Fruin, S. A.; Delfino, R. J. Modeling the concentrations of on-road air pollutants in southern California Environ. Sci. Technol. 2013, 47, 9291-9299 10.1021/es401281r
41. Smargiassi, A.; Brand, A.; Fournier, M.; Tessier, F.; Goudreau, S.; Rousseau, J.; Benjamin, M. A spatiotemporal land-use regression model of winter fine particulate levels in residential neighbourhoods J. Exposure Sci. Environ. Epidemiol. 2012, 22, 331-338 10.1038/jes.2012.26
42. Larson, T.; Henderson, S. B.; Brauer, M. Mobile monitoring of particle light absorption coefficient in an urban area as a basis for land use regression Environ. Sci. Technol. 2009, 43, 4672-4678 10.1021/es803068e