Performance of AERMOD at different time scales

Simulation Modelling Practice and Theory

Volumn 18, Issue 5, 2010, Pages 612-623

  Zou, Bin ^a,c   Benjamin Zhan, F ^b,c   Gaines Wilson, J ^d   Zeng, Yongnian ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^c TEXAS STATE UNIVERSITY   (United States)

^d UNIVERSITY OF TEXAS AT BROWNSVILLE   (United States)

Author keywords

AERMOD; Air dispersion modeling; Environmental health; Exposure assessment; GIS

Indexed keywords

AIR DISPERSION MODELING; AIR POLLUTANTS; CHRONIC EXPOSURE; DIFFERENT TIME SCALE; EMISSION SOURCES; ENVIRONMENTAL HEALTH; EPIDEMIOLOGICAL STUDIES; EXPOSURE ASSESSMENT; HIGH-DENSITY; MODEL INPUTS; MONITORING NETWORK; MONTHLY SCALE; POLLUTANT CONCENTRATION; REGULATORY MODEL; STUDY AREAS;

AIR QUALITY; DISPERSIONS; ENVIRONMENTAL ENGINEERING; ESTIMATION; GEOGRAPHIC INFORMATION SYSTEMS; POLLUTION; SULFUR; SULFUR DIOXIDE; WIRELESS NETWORKS;

CONCENTRATION (PROCESS);

EID: 77249111126     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2010.01.005     Document Type: Article

References (41)

1. Brender J.D., Zhan F.B., Suarez L., Langlois P.H., Gilani Z., DeLima I., and Moody K. Linking environmental hazards and birth defects data. Int. J. Occup. Environ. Health 12 (2006) 126-133
2. Brender J.D., Zhan F.B., Langlois P.H., Suarez L., and Scheuerle A. Residential proximity to waste sites and industrial facilities and chromosomal anomalies in offspring. Int. J. Hyg. Environ. Health 211 (2008) 50-58
3. Schulze R.H. Procedures used by the United States environmental protection agency (US EPA) to develop and adopt newer dispersion models. Int. J. Environ. Pollut. 16 (2001) 483-494
4. Zou B., Wilson J.G., Zhan F.B., and Zeng Y.N. Air pollution exposure assessment methods utilized in epidemiological studies. J. Environ. Monit. 11 (2009) 475-490
5. Holmes N.S., and Morawska L. A review of dispersion modeling and its application to the dispersion of particles: an overview of different dispersion models available. Atmos. Environ. 40 (2006) 5902-5928
6. A.J. Cimorelli, A. Venkatram, J.C. Weil, R.J. Paine, R.B. Wilson, R.F. Lee, W.D. Peters, AERMOD description of model formulation, US EPA Report 454/R-03-002d, 2003, p. 85.
7. Stein A.F., Isakov V., Godowitch J., and Draxler R.R. A hybrid modeling approach to resolve pollutant concentrations in an urban area. Atmos. Environ. 41 (2007) 9410-9426
8. Caputo M., Gimenez M., and Schlamp M. Intercomparison of atmospheric dispersion models. Atmos. Environ. 37 (2003) 2435-2449
9. Orloff K.G., Kaplan B., and Kowalski P. Hydrogen cyanide in ambient air near a gold heap leach field: measured vs. modeled concentrations. Atmos. Environ. 40 (2006) 3022-3029
10. Hanna S.R., Paine R., Heinold D., Kintigh E., and Baker D. Uncertainties in air toxics calculated by the dispersion models AERMOD and ISCST 3 in the Houston ship channel area. J. Appl. Meteorol. Climatol. 46 (2007) 1372-1382
11. Kesarkar A.P., Dalvi M., Kaginalkar A., and Ojha A. Coupling of the weather research and forecasting model with AERMOD for pollutant dispersion modeling, a case study for PM10 dispersion over Pune, India. Atmos. Environ. 41 (2007) 1976-1988
12. Harsham D.K., and Bennett M. A sensitivity study of validation of three regulatory dispersion models. Am. J. Environ. Sci. 4 (2008) 63-76
13. Zhou Y., Levy J.I., Hammitt J.K., and Evans J.S. Estimating population exposure to power plant emissions using CALPUFF: a case study in Beijing, China. Atmos. Environ. 37 (2003) 815-826
14. Silverman K.C., Tell J.G., and Sargent E.V. Comparison of the industrial source complex and AERMOD dispersion models: case study for human health risk assessment. J. Air Waste Manage. Assoc. 57 (2007) 1439-1446
15. O{combining double acute accent}zkaynak Z., Palma T., Touma S.J., and Thurman J. Modeling population exposures to outdoor sources of hazardous air pollutants. J. Expo. Anal. Environ. Epidemiol. 18 (2008) 45-58
16. Wilson J.G., Kingham S., Pearce J., and Sturman A.P. A review of intraurban variations in particulate air pollution: implications for epidemiological research. Atmos. Environ. 39 (2005) 6444-6462
17. Perry S.G., Cimorelli A.J., Paine R.J., Brode R.W., Weil J.C., Venkatram A., Wilson R.B., Lee R.F., and Peters W.D. AERMOD: a dispersion model for industrial source applications. Part II: Model performance against 17 field study databases. J. Appl. Meteorol. 44 (2005) 694-708
18. McHugh C.A., Carruthers D.J., Higson H., and Dyster S.J. Comparison of model evaluation methodologies with application to ADMS 3 and US models. Int. J. Environ. Pollut. 16 (1999) 2001
19. Q.Y. Zhang, Y.M. Wei, W.L. Tian, K.M. Yang, GIS-based emission inventories of urban scale: a case study of Hangzhou, China. Atmos. Environ., in press, doi:10.1016/j.atmosenv.2008.02.012.
20. Venkatram A., Isakov V., Yuan J., and Pankratz D. Modeling dispersion at distances of meters from urban sources. Atmos. Environ. 38 (2004) 4633-4641
21. Isakov V., Irwin J.S., and Ching J. Using CMAQ for exposure Modeling and characterizing the subgrid variability for exposure estimates. J. Appl. Meteorol. Climatol. 46 (2007) 1354-1371
22. 2 emissions to Dallas-Fort Worth winter haze. J. Air Waste Manage. Assoc. 50 (2000) 826-834
23. Texas State Data Center and Office of the State Demographer, 2008. Estimates of the Total Populations of Counties and Places in Texas for July 1, 2006 and January 1, 2007, .
24. US EPA, 2002 National Emissions Inventory Data & Documentation, 2008, .
25. Ha E.H., Hong Y.C., Lee B.E., Woo B.H., Schwartz J., and Christiani D.C. Is air pollution a risk factor for low birth weight in Seoul. Epidemiology 12 (2001) 643-648
26. Lakes Environmental Software, ISC-AERMOD View, 2008, .
27. NCDC, Integrated Surface Hourly (ISH) database, 2008, .
28. NOAA, NOAA/ESRL Radiosonde Database Access, 2008, .
29. TCEQ, Background Information on AERMET Processing in Texas, 2008, .
30. TCEQ, Historical Air Pollutant and Weather Data, 2008, .
31. Chambers J.M., Cleveland W.S., Kleiner B., and Tukey P.A. Graphical Methods for Data Analysis (1983), Duxbury Press, California
32. Paumier J.O., G Perry S., and Burns D.J. CTDMPLUS - a dispersion model for sources near complex topography. Part II: Performance characteristics. J. Appl. Meteorol. 31 (1992) 646-660
33. Irwin S.J. Statistical evaluation of centerline concentration estimates by atmospheric dispersion models. Int. J. Environ. Pollut. 14 (2000) 28-38
34. Hanna S.R. Air quality model evaluation and uncertainty. J. Air Pollut. Control Assoc. 38 (1998) 406-412
35. Cox W.M., and Tikvart J.A. A statistical procedure for determining the best performing air quality simulation model. Atmos. Environ. 24 (1990) 2387-2395
36. Olesen H.R. The model validation exercise at Mol: overview of results. Int. J. Environ. Pollut. 5 (1995) 761-784
37. Luhar A.K., and Hurley J.P. Evaluation of TAPM, a prognostic meteorological and air pollution model, using urban and rural point-source data. Atmos. Environ. 37 (2003) 2795-2810
38. US EPA, User's Guide for the AMS/EPA Regulatory Model - AERMOD, EPA-454/B-03-001, US Environmental Protection Agency, Research Triangle Park, NC, 2004.
39. Biswas J., Hogrefe C., Rao S.T., Hao W., and Sistla G. Evaluating the performance of regional-scale photochemical modeling systems. Part III-Precursor predictions. Atmos. Environ. 35 (2001) 6129-6149
40. Treat C.C., Bubier J.L., Varner R.K., and Crill P.M. Timescale dependence of environmental and plant-mediated controls on CH4 flux in a temperate fen. J. Geophys. Res. 112 (2007) G01014 10.1029/2006JG000210
41. R.J. Paine, R.F. Lee, R. Brode, R.B. Wilson, A.J. Cimorelli, S.G. Perry, J.C. Weil, A. Venkatram, W. Peters, Model evaluation results for AERMOD, 1998, .