A sub-neighborhood scale land use regression model for predicting NO2

Science of the Total Environment

Volumn 398, Issue 1-3, 2008, Pages 68-75

  Mavko, Matthew E ^a   Tang, Brian ^a   George, Linda A ^a  

^a PORTLAND STATE UNIVERSITY   (United States)

Author keywords

Air pollution; GIS; Land use; Meteorology; Nitrogen dioxide; Regression

Indexed keywords

GEOGRAPHIC INFORMATION SYSTEMS; ITERATIVE METHODS; LAND USE; METEOROLOGY; NITROGEN COMPOUNDS; REGRESSION ANALYSIS;

METEOROLOGICAL PATTERNS; PORTLAND METROPOLITAN AREA; RAILROAD DENSITY; REGRESSION MODELS; WIND DIRECTION;

AIR POLLUTION;

BUFFER; NITROGEN DIOXIDE;

ATMOSPHERIC POLLUTION; GIS; LAND USE; MEASUREMENT METHOD; METROPOLITAN AREA; MODELING; NEIGHBORHOOD; NITROGEN DIOXIDE; PREDICTION; RAILWAY; TRAFFIC EMISSION; WIND DIRECTION;

ACCURACY; AIR POLLUTION; ARTICLE; GAS ANALYSIS; LAND USE; PRIORITY JOURNAL; RAILWAY; REGRESSION ANALYSIS; TRAFFIC; UNITED STATES;

AIR POLLUTANTS; ENVIRONMENTAL MONITORING; FORECASTING; NITROGEN DIOXIDE; OREGON; REGRESSION ANALYSIS; RESIDENCE CHARACTERISTICS; WIND;

NORTH AMERICA; OREGON; PORTLAND [OREGON]; UNITED STATES;

EID: 43849092175     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2008.02.017     Document Type: Article

References (26)

1. Arain M.A., Blair R., Finkelstein, Brook J.R., Sahsuvaruglu T., Beckerman B., et al. The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies. Atmos Environ 41 (2007) 3453-3463
2. Bertini R., Hansen S., Matthews S., and Delcambre A. PORTAL: implementing a new generation archived data user service in Portland, Oregon. 12th world congress on intelligent transport systems (2005)
3. Blond N., Boersma K.F., Eskes H.J., van der A R.J., Van Roozendael M., De Smedt I., et al. Intercomparison of SCIAMACHY nitrogen dioxide observations, in situ measurements and air quality modeling results over Western Europe. J Geophys Res D: Atmospheres 112 10 (2007) art. no. D10311
4. Briggs D.J., Collins S., Elliott P., Fischer P., Kingham S., Lebret E., et al. Mapping urban air pollution using GIS: a regression-based approach. Int J Geogr Inf Sci 11 7 (1997) 699-718
5. Briggs D.J., de Hoogh C., Guiliver J., Wills J., Elliott P., Kingham S., et al. A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments. Sci Total Environ 253 1-3 (2000) 151-167
6. Brunekreef B., Janssen N.A.H., deHartog J., Harssema H., Knape M., and van Vliet P. Air pollution from truck traffic and lung function in children living near motorways. Epidemiology 8 3 (1997) 298-303
7. City of Portland Office of Transportation. Traffic-Traffic Counts-Portland Transportation. Retrieved August 15, 2006 from http://www.trans.ci.portland.or.us/TrafficCounts/default.htm.
8. George L.A., Parra J., and Sitbon P. Horizons-Portland area real-time and archived air quality and meteorological data (2005), Portland State University - Center for Environmental Atmospheric Research (CEAR), Portland, OR. http://www.horizons.pdx.edu University Server Website (http://www.horizons.pdx.edu)
9. Gilbert N.L., Goldberg M.S., Beckerman B., Brook J., and Jerrett M. Assessing spatial variability of ambient nitrogen dioxide in Montreal, Canada, with a land-use regression model. J Air Waste Manage Assoc 55 8 (2005) 1059-1063
10. Heal M., Kirby C., and Cape J.N. Systematic biases in measurement of urban nitrogen dioxide using passive diffusion samplers. Environ Monit Assess 62 (2000) 39-54
11. Henderson S.B., Beckerman B., Jerrett M., and Brauer M. Application of land use regression to estimate long-term concentrations of traffic-related nitrogen oxides and fine particulate matter. Environ Sci Technol 41 7 (2007) 2422-2428
12. Hoek G., Brunekreef B., Goldbohm S., Fischer P., and Brandt P. Association between mortality and indicators of traffic-related air pollution: a cohort study. Lancet 360 (2002) 1203-1209
13. Janssen N.A.H., Brunekreef B., van Vliet P., Aarts F., Meliefste K., Harssema H., et al. The relationship between air pollution from heavy traffic and allergic sensitization, bronchial hyperresponsiveness, and respiratory symptoms in Dutch schoolchildren. Environ Health Perspect 111 12 (2003) 1512-1518
14. Janssen N.A.H., van Vliet P., Aarts F., Harssema H., and Brunekreef B. Assessment of exposure to traffic related air pollution of children attending schools near motorways. Atmos Environ 35 22 (2001) 3875-3884
15. Jerrett M., Arain A., Kanaroglou P., Beckerman B., Potoglou D., Sahsuvaroglu T., et al. A review and evaluation of intraurban air pollution exposure models. J Expo Anal Environ Epidemiol 15 2 (2005) 185-204
16. Kim J.J., Smorodinsky S., Lipsett M., Singer B.C., Hodgson A.T., and Ostro B. Traffic-related air pollution near busy roads: the East Bay Children's Respiratory Health Study. Am J Respir Crit Care Med 170 5 (2004) 520-526
17. Kumar N., Chu A., and Foster A. An empirical relationship between PM2.5 and aerosol optical depth in Delhi Metropolitan. Atmos Environ 41 21 (2007) 4492-4503
18. Mavko, M.E. Application of passive nitrogen dioxide measurements for quantifying and mapping urban air pollution. Masters Thesis, Portland State University (2006).
19. Oregon Department of Environmental Quality, Portland air toxics assessment, Retrieved September 15, 2006 from http://www.deq.state.or.us/aq/HAP/pata.htm.
20. Palmes E.D., Gunnison A.F., DiMattio J., and Tomczyk C. Personal sampler for nitrogen dioxide. Am Ind Hyg Assoc J 37 (1976) 570-577
21. Ross Z., English P.B., Scalf R., Gunier R., Smorodinsky S., Wall S., et al. Nitrogen dioxide prediction in Southern California using land use regression modeling: potential for environmental health analyses. J Expo Sci Environ Monit 16 2 (2006) 106-114
22. Ross Z., Jerrett M., Ito K., Tempalski B., and Thurston G.D. A land use regression for predicting fine particulate matter concentrations in the New York City region. Atmos Environ 41 11 (2007) 2255-2269
23. Sahsuvaroglu T., Arain A., Kanaroglou P., Finkelstein N., Newbold B., Jerrett M., et al. A land use regression model for predicting ambient concentrations of nitrogen dioxide in Hamilton, Ontario, Canada. J Air Waste Manage Assoc 56 8 (2006) 1059-1069
24. Smith L., Mukerjee S., Gonzales M., Stallings C., Neas L., Norris G., et al. Use of GIS and ancillary variables compound and nitrogen dioxide to predict volatile organic levels at unmonitored locations. Atmos Environ 40 20 (2006) 3773-3787
25. U.S. Environmental Protection Agency Toxics Release Inventory 2004, Retrieved July 15 2006 from http://www.epa.gov/triexplorer/.
26. van Vliet P., Knape M., de Hartog J., Janssen N., Harssema H., and Brunekreef B. Motor vehicle exhaust and chronic respiratory symptoms in children living near freeways. Environ Res 74 2 (1997) 122-132