Evaluation of observation-fused regional air quality model results for population air pollution exposure estimation

Science of the Total Environment

Volumn 485-486, Issue 1, 2014, Pages 563-574

  Chen, Gang ^a   Li, Jingyi ^a   Ying, Qi ^a   Sherman, Seth ^b   Perkins, Neil ^c   Sundaram, Rajeshwari ^c   Mendola, Pauline ^c  

^a Texas AandM University   (United States)

^b EMMES CORPORATION   (United States)

^c EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

Author keywords

Community Multiscale Air Quality (CMAQ) model; Data fusing; Exposure; Inverse distance weighting; Model performance; Population weighted average

Indexed keywords

AIR QUALITY; FORECASTING; INVERSE PROBLEMS; PARTICLES (PARTICULATE MATTER); QUALITY ASSURANCE;

COMMUNITY MULTI-SCALE AIR QUALITIES; DATA FUSING; EXPOSURE; INVERSE DISTANCE WEIGHTING; MODEL PERFORMANCE; WEIGHTED AVERAGES;

POPULATION STATISTICS;

AIR QUALITY; ATMOSPHERIC MODELING; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); PARTICULATE MATTER; QUANTITATIVE ANALYSIS; SPATIAL RESOLUTION; SPATIAL VARIATION;

AIR POLLUTANT; AIR POLLUTION; AIR QUALITY; AMBIENT AIR; ARTICLE; CONCENTRATION (PARAMETERS); INDOOR AIR POLLUTION; INDUSTRIAL AREA; PARTICULATE MATTER; POLLUTION MONITORING; POPULATION DENSITY; POPULATION EXPOSURE; PRIORITY JOURNAL; RURAL AREA; SIMULATION; SUBURBAN AREA; SUMMER; WINTER;

COMMUNITY MULTISCALE AIR QUALITY (CMAQ) MODEL; DATA FUSING; EXPOSURE; INVERSE DISTANCE WEIGHTING; MODEL PERFORMANCE; POPULATION WEIGHTED AVERAGE;

AIR POLLUTANTS; AIR POLLUTION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; HUMANS; MODELS, CHEMICAL; PARTICULATE MATTER; REGRESSION ANALYSIS; TIME FACTORS;

EID: 84898686917     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2014.03.107     Document Type: Article

References (30)

1. 2.5from aircraft emissions during landing and takeoff. Atmos Environ 2011, 45:3294-3300.
2. Bailey T.C., Gatrell A.C. Interactive spatial data analysis 1995, Routledge. 1st ed.
3. Bell M.L. 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 2006, 32:586-593.
4. Bell M.L., McDermott A., Zeger S.L., Samet J.M., Dominici F. Ozone and short-term mortality in 95 US urban communities, 1987-2000. JAMA 2004, 292:2372-2378.
5. 2.5chemical composition in the United States for health effects studies. Environ Health Perspect 2007, 115:989-995.
6. Bogaert P., Fasbender D. Bayesian data fusion in a spatial prediction context: a general formulation. Stoch Env Res Risk A 2007, 21:695-709.
7. Boylan J.W., Russell A.G. PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models. Atmos Environ 2006, 40:4946-4959.
8. Bravo M.A., Fuentes M., Zhang Y., Burr M.J., Bell M.L. Comparison of exposure estimation methods for air pollutants: ambient monitoring data and regional air quality simulation. Environ Res 2012, 116:1-10.
9. Buck Louis G.M., Schisterman E.F., Sweeney A.M., Wilcosky T.C., Gore-Langton R.E., Lynch C.D., et al. Designing prospective cohort studies for assessing reproductive and developmental toxicity during sensitive windows of human reproduction and development - the LIFE Study. Paediatr Perinat Epidemiol 2011, 25:413-424.
10. Byun D., Schere K.L. Review of the governing equations, computational algorithms, and other components of the models-3 Community Multiscale Air Quality (CMAQ) modeling system. Appl Mech Rev 2006, 59:51-77.
11. Carter W.P.L. Documentation of the SAPRC-99 chemical mechanism for VOC reactivity assessment. Report to the California air resources board 2000, [Available at http://cert.ucr.edu/carter/absts.htm#saprc99 and http://www.cert.ucr.edu/carter/reactdat.htm].
12. Chang H.H., Reich B.J., Miranda M.L. Time-to-event analysis of fine particle air pollution and preterm birth: results from North Carolina, 2001-2005. Am J Epidemiol 2012, 175:91-98.
13. Emery C., Tai E., Yarwood G. Enhanced meteorological modeling and performance evaluation for two Texas episodes. Report to the Texas Natural Resources Conservation Commission 2001, ENVIRON International Corporation, Novato, CA, (http://www.tceq.texas.gov/airquality/airmod/project/pj_report_met.html). p.b.E., Internatioanl Corp. (Ed.).
14. Foley K.M., Roselle S.J., Appel K.W., Bhave P.V., Pleim J.E., Otte T.L., et al. Incremental testing of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7. Geosci Model Dev 2010, 3:205-226.
15. Fuentes M., Raftery A. Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models. Biometrics 2005, 61:36-45.
16. Grabow M.L., Spak S.N., Holloway T., Stone B., Mednick A.C., Patz J.A. Air quality and exercise-related health benefits from reduced car travel in the Midwestern United States. Environ Health Perspect 2012, 120:68-76.
17. Kota S.H., Ying Q., Schade G.W. MOVES vs. MOBILE6.2: differences in emission factors and regional air quality predictions. Transportation Research Board Annual Meeting 2012, Washington DC 2012.
18. xnational emission inventories using an urban-scale source-oriented air quality model. Atmos Environ 2014, 85:99-108. 10.1016/j.atmosenv.2013.11.020.
19. Laden F., Neas L.M., Dockery D.W., Schwartz J. Association of fine particulate matter from different sources with daily mortality in six US cities. Environ Health Perspect 2000, 108:941-947.
20. Luo C., Wang Y.H., Mueller S., Knipping E. Diagnosis of an underestimation of summertime sulfate using the Community Multiscale Air Quality model. Atmos Environ 2011, 45:5119-5130.
21. Sahu S.K., Gelfand A.E., Holland D.M. Fusing point and areal level space-time data with application to wet deposition. J R Stat Soc: Ser C: Appl Stat 2010, 59:77-103.
22. Shepard D. A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 1968 23rd ACM National Conference 1968, 517-524. ACM.
23. Simon H., Baker K.R., Phillips S. Compilation and interpretation of photochemical model performance statistics published between 2006 and 2012. Atmos Environ 2012, 61:124-139.
24. Tong D.Q., Mathur R., Kang D.W., Yu S.C., Schere K.L., Pouliot G. Vegetation exposure to ozone over the continental United States: assessment of exposure indices by the Eta-CMAQ air quality forecast model. Atmos Environ 2009, 43:724-733.
25. Wiedinmyer C., Akagi S.K., Yokelson R.J., Emmons L.K., Al-Saadi J.A., Orlando J.J., et al. The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning. Geosci Model Dev 2011, 4:625-641.
26. WRAP 2002 fire emission inventory for the WRAP region - phase II 2005, Air Sciences Inc.
27. Zhang H., Ying Q. Secondary organic aerosol from polycyclic aromatic hydrocarbons in Southeast Texas. Atmos Environ 2012, 55:279-287.
28. Zhang J., Troendle J., Reddy U.M., Laughon S.K., Branch D.W., Burkman R., et al. Contemporary cesarean delivery practice in the United States. Am J Obstet Gynecol 2010, 203:326. [e321-326.e310].
29. Zhang H., Li J., Ying Q., Yu J.Z., Wu D., Cheng Y., et al. Source apportionment of PM2.5 nitrate and sulfate in China using a source-oriented chemical transport model. Atmos Environ 2012, 62:228-242.
30. Zhang H., Chen G., Hu J., Chen S.-H., Wiedinmyer C., Kleeman M., Ying Q. Evaluation of a seven-year air quality simulation using the Weather Research and Forecasting (WRF)/Community Multiscale Air Quality (CMAQ) models in the eastern United States. Sci Total Environ 2014, 473-474:275-285. 10.1016/j.scitotenv.2013.11.121.