Land use regression models coupled with meteorology to model spatial and temporal variability of NO2 and PM10 in Changsha, China

Atmospheric Environment

Volumn 116, Issue , 2015, Pages 272-280

  Liu, Wu ^a   Li, Xiaodong ^a   Chen, Zuo ^a   Zeng, Guangming ^a   León, Tomás ^b   Liang, Jie ^a   Huang, Guohe ^c   Gao, Zhihua ^a   Jiao, Sheng ^a   He, Xiaoxiao ^a   Lai, Mingyong ^a  

^a HUNAN UNIVERSITY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF REGINA   (Canada)

Author keywords

Land use regression; Meteorological factors; NO2; PM10; Temporal resolution

Indexed keywords

BACKPROPAGATION; BALLOONS; LAND USE; MOTOR TRANSPORTATION; NEURAL NETWORKS; NITROGEN OXIDES; POLLUTION; REGRESSION ANALYSIS; WIND;

BACK-PROPAGATION NEURAL NETWORKS; LAND USE REGRESSION; LAND-USE REGRESSION MODELS; METEOROLOGICAL CONDITION; METEOROLOGICAL FACTORS; SPATIAL AND TEMPORAL VARIABILITY; SPATIAL AND TEMPORAL VARIATION; TEMPORAL RESOLUTION;

AIR POLLUTION;

NITROGEN DIOXIDE;

ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); EPIDEMIOLOGY; HEALTH RISK; HUMAN ACTIVITY; LAND USE CHANGE; METEOROLOGY; NITROGEN DIOXIDE; NUMERICAL MODEL; PARTICULATE MATTER; POLLUTION EXPOSURE; RESOLUTION; SPATIOTEMPORAL ANALYSIS; WIND VELOCITY;

AIR POLLUTANT; AIR POLLUTION; ARTICLE; ATMOSPHERIC PRESSURE; CHINA; CLOUD; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL TEMPERATURE; HUMIDITY; LAND USE; LAND USE REGRESSION MODEL; METEOROLOGICAL PHENOMENA; METEOROLOGY; MODEL; PARTICULATE MATTER; PRIORITY JOURNAL; RESIDENTIAL AREA; SANITATION; URBAN AREA;

CHANGSHA; CHINA; HUNAN;

EID: 84936929937     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2015.06.056     Document Type: Article

References (44)

1. 2, and BTEX exposure in a cohort of pregnant women using land use regression modeling. Environ. Sci. Technol. 2008, 43:815-821.
2. 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.
3. x land use regression models for estimating air pollution exposure in 36 study areas in Europe - the ESCAPE project. Atmos. Environ. 2013, 72:10-23.
4. Blanchard C.L., Tanenbaum S., Hidy G.M. Spatial and temporal variability of air pollution in Birmingham, Alabama. Atmos. Environ. 2014, 89:382-391.
5. 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. Inform. Sci. 1997, 11:699-718.
6. Chen F.L., Chen Y.C., Kuo J.Y. Applying moving back-propagation neural network and moving fuzzy neuron network to predict the requirement of critical spare parts. Expert Syst. Appl. 2010, 37:4358-4367.
7. Chen L., Wang Y., Li P., Ji Y., Kong S., Li Z., Bai Z. A land use regression model incorporating data on industrial point source pollution. J. Environ. Sci. 2012, 24:1251-1258.
8. 2 in an urban area: Stochastic versus dispersion modeling. Environ. Health Perspect. 2005, 113:987-992.
9. Dons E., Van Poppel M., Kochan B., Wets G., Int Panis L. Modeling temporal and spatial variability of traffic-related air pollution: hourly land use regression models for black carbon. Atmos. Environ. 2013, 74:237-246.
10. Gan W.Q., Koehoom M., Davies H.W., Demers P., Tamburic L., Brauer M. Long-term exposure to traffic-related air pollution and the risk of coronary heart disease hospitalization and mortality. Environ. Health Perspect. 2011, 119:501-507.
11. Gauderman W.J., Avol E., Lurmann F., Kuenzli N., Gilliland F., Peters J., McConnell R. Childhood Asthma and exposure to traffic and nitrogen dioxide. Epidemiology 2005, 16:737-743.
12. 2 in El Paso, Texas, USA. Sci. Total Environ. 2012, 432:135-142.
13. Gulliver J., de Hoogh K., Hansell A., Vienneau D. Development and back-extrapolation of NO2 land use regression models for historic exposure assessment in Great Britain. Environ. Sci. Technol. 2013, 47:7804-7811.
14. Gulliver J., Morris C., Lee K., Vienneau D., Briggs D., Hansell A. Land use regression modeling to estimate historic (1962-1991) concentrations of black smoke and sulfur dioxide for Great Britain. Environ. Sci. Technol. 2011, 45:3526-3532.
15. 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.
16. HEI Traffic-related air pollution: a critical review of the literature on emissions, exposure, and health effects. HEI Panel on the Health Effects of Traffic-related Air Pollution 2010, Health Effects Institute (Ed.).
17. Hochadel M., Heinrich J., Gehring U., Morgenstern V., Kuhlbusch T., Link E., Wichmann H.E., Krämer U. Predicting long-term average concentrations of traffic-related air pollutants using GIS-based information. Atmos. Environ. 2006, 40:542-553.
18. 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.
19. Hoek G., Beelen R., Kos G., Dijkema M., Fischer P.H., Brunekeef B., Van der zee S.C. Land use regression model for ultrafine particles in Amsterdam. Environ. Sci. Technol. 2011, 45:622-628.
20. Janssen S., Dumont G., Fierens F., Mensink C. Spatial interpolation of air pollution measurements using CORINE land cover data. Atmos. Environ. 2008, 42:4884-4903.
21. Jerrett M., Arain 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 A 2007, 70:200-212.
22. Jerrett M., Arain A., Kanarouglou P., Beckerman B., Potoglou D., Sahsuvaroglu T., Morrison J., Giovis C. A review and evaluation of intraurban air pollution exposure models. J. Expo. Anal. Environ. Epidemiol. 2005, 15:185-204.
23. Kanarouglou P.S., Jerrett M., Morrison J., Beckerman B., Arain M.A., Gilbert N.L., Brook J.R. Establishing an air pollution monitoring network for intra-urban population exposure assessment: a location-allocation approach. Atmos. Environ. 2005, 39:2399-2409.
24. Kashima S., Yorifuji T., Tsuda T., Doi H. Application of land use regression to regulatory air quality data in Japan. Sci. Total Environ. 2009, 407:3055-3062.
25. Kuo R.J., Shieh M.C., Zhang J.W., Chen K.Y. The application of an artificial immune system-based back-propagation neural network with feature selection to an RFID positioning system. Robotics Computer-Integrated Manuf. 2013, 29:431-438.
26. x and NO(2) exposures in a metropolis with a high density of traffic roads and population. Sci. Total Environ. 2014, 472:1163-1171.
27. Liu L.J., Curjuric I., Keidel D., Heldstab J., Kunzli N., Bayer-Oglesby L., Ackermann-Liebrich U., Schindler C., team S Characterization of source-specific air pollution exposure for a large population-based Swiss cohort (SAPALDIA). Environ. Health Perspect. 2007, 115:1638-1645.
28. 10 Concentrations 2015, vol. 103:18-24.
29. Madsen C., Carlsen K.C.L., Hoek G., Oftedal B., Nafstad P., Meliefste K., Jacobsen R., Nystad W., Carlsen K.H., Brunekreef B. Modeling the intra-urban variability of outdoor traffic pollution in Oslo, Norway-A GA2LEN project. Atmos. Environ. 2007, 41:7500-7511.
30. Mölter A., Lindley S., de Vocht F., Simpson A., Agius R. Modelling air pollution for epidemiologic research part II: predicting temporal variation through land use regression. Sci. Total Environ. 2010, 409:211-217.
31. Mukerjee S., Smith L.A., Johnson M.M., Neas L.M., Stallings C.A. Spatial analysis and land use regression of VOCs and NO(2) from school-based urban air monitoring in Detroit/Dearborn, USA. Sci. Total Environ. 2009, 407:4642-4651.
32. Nethery E., Teschke K., Brauer M. Predicting personal exposure of pregnant women to traffic-related air pollutants. Sci. Total Environ. 2008, 395:11-22.
33. Philip D.W. Neural Computing: Theory and Practice 1989, Van Nostrand Reinhold, New York.
34. Ross Z., English P.B., Scalf R., Gunier R., Smorodinsky S., Wall S., Jerrett M. Nitrogen dioxide prediction in Southern California using land use regression modeling: potential for environmental health analyses. J. Expo. Sci. Environ. Epidemiol. 2006, 16:106-114.
35. Ross Z., Jerrett M., Ito K., Tempalski B., Thurston G. A land use regression for predicting fine particulate matter concentrations in the New York City region. Atmos. Environ. 2007, 41:2255-2269.
36. Ryan P.H., Lemasters G.K., Levin L., Burkle J., Biswas P., Hu S., Grinshpun S., Reponen T. A land-use regression model for estimating microenvironmental diesel exposure given multiple addresses from birth through childhood. Sci. Total Environ. 2008, 404:139-147.
37. 2 across geographically diverse areas over separate years. Atmos. Environ. 2012, 46:460-471.
38. 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.
39. Slama R., Morgenstern V., Cyrys J., Zutavern A., Herbarth O., Wichmann H.E., Heinrich J. Traffic-related atmospheric pollutants levels during pregnancy and offspring's term birth weight: a study relying on a land-use regression exposure model. Environ. Health Perspect. 2007, 115:1283-1292.
40. Wang R., Henderson S.B., Sbihi H., Allen R.W., Brauer M. Temporal stability of land use regression models for traffic-related air pollution. Atmos. Environ. 2013, 64:312-319.
41. Wilton D., Szpiro A., Gould T., Larson T. Improving spatial concentration estimates for nitrogen oxides using a hybrid meteorological dispersion/land use regression model in Los Angeles, CA and Seattle, WA. Sci. Total Environ. 2010, 408:1120-1130.
42. Wrenn D.H., Sam A.G. Geographically and temporally weighted likelihood regression: exploring the spatiotemporal determinants of land use change. Regional Sci. Urban Econ. 2014, 44:60-74.
43. Wu J., Wilhelm M., Chung J., Ritz B. Comparing exposure assessment methods for traffic-related air pollution in an adverse pregnancy outcome study. Environ. Res. 2011, 111:685-692.
44. Xu H., Yu B. Automatic thesaurus construction for spam filtering using revised back propagation neural network. Expert Syst. Appl. 2010, 37:18-23.