Impact of spatiotemporal fluctuations in airborne chemical concentration on toxic hazard assessment

Journal of Hazardous Materials

Volumn 152, Issue 1, 2008, Pages 228-240

  Bogen, K T ^a   Gouveia, F J ^a  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

Acute toxicity; Atmospheric dispersion; Hydrogen cyanide; Modeling; Risk

Indexed keywords

COMPUTER SIMULATION; CONCENTRATION (PROCESS); STATISTICAL METHODS; STOCHASTIC MODELS;

ACUTE EXPOSURE GUIDELINE LEVEL; HYDROGEN CYANIDE; TOXIC HAZARD ASSESSMENT;

TOXIC MATERIALS;

HYDROGEN CYANIDE;

COMPUTER SIMULATION; CONCENTRATION (PROCESS); STATISTICAL METHODS; STOCHASTIC MODELS; TOXIC MATERIALS;

ATMOSPHERIC CHEMISTRY; ATMOSPHERIC POLLUTION; CYANIDE; HAZARD ASSESSMENT; HYDROGEN; MODELING; RISK ASSESSMENT; SPATIOTEMPORAL ANALYSIS; TOXIC SUBSTANCE; TOXICITY; WIND VELOCITY;

ACUTE TOXICITY; ARTICLE; ATMOSPHERIC DISPERSION; HAZARD ASSESSMENT; MATHEMATICAL MODEL; SEASONAL VARIATION; URBAN AREA;

AIR POLLUTANTS; RISK ASSESSMENT;

NORTH AMERICA; OKLAHOMA [OKLAHOMA (STT)]; OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 39749162856     PISSN: 03043894     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2007.06.116     Document Type: Article

References (50)

1. National Research Council (NRC), Standing Operating Procedures for Developing Acute Exposure Levels for Hazardous Chemicals, National Academies Press, Washington, DC, 2001. [AEGLs are the guidelines of first choice recommended currently by U.S. federal regulatory agencies involved in emergency response; see U.S. Environmental Protection Agency Acute Exposure Guideline Program (http://www.epa.gov/oppt/aegl/); U.S. Department of Energy Order 151.1C (Comprehensive Emergency Management Systems Objectives) §4.a(14)(d)2, 2 Nov. 2005 (http://www.directives.doe.gov/pdfs/doe/doetext/neword/151/o1511c.html).]
2. Finney D.J. Probit Analysis (1971), Cambridge University Press, London, UK
3. Withers R.M.J., and Lees F.P. The assessment of major hazards: The lethal toxicity of chlorine. Part 1, Review of information on toxicity. J. Hazard. Mater. 12 (1985) 231-282
4. Withers R.M.J., and Lees F.P. The assessment of major hazards: The lethal toxicity of chlorine. Part 2, Model of toxicity to man. J. Hazard. Mater. 12 (1985) 283-302
5. ten Berge W.F., Zwart A., and Appelman L.M. Concentration-time mortality response relationship of irritant and systemically acting vapours and gases. J. Hazard. Mater. 13 (1986) 301-309
6. Miller F.J., Schlosser P.M., and Janszen D.B. Haber's rule: a special case in a family of curves relating concentration and duration of exposure to a fixed level of response for a given endpoint. Toxicology 149 (2000) 21-34
7. National Research Council (NRC), Acute Exposure Guideline Levels for Selected Airborne Chemicals, vol. 1-4. National Academies Press, Washington, DC, 2000, 2002, 2003, 2004.
8. Stage S.A. Determination of acute exposure guideline levels in a dispersion model. J. Air Waste Manag. Assoc. 54 (2004) 49-59
9. Ride D.J. An assessment of the effects of fluctuations on the severity of poisoning by toxic vapours. J. Hazard. Mater. 9 (1984) 235-240
10. Yee E., Chan R., Kosteniuk P.R., Chandler G.M., Biltoft C.A., and Bowers J.F. Experimental measurements of concentration fluctuations and scales in a dispersing plume in the atmospheric surface layer obtained using a very fast response concentration detector. J. Appl. Meteorol. 33 (1994) 996-1016
11. Lewis D.M. Monte Carlo estimate of dosages of gases dispersing in the atmosphere. Environmetrics 8 (1997) 629-650
12. Yee E., and Chan R. A simple model for the probability density function of concentration fluctuations in atmospheric plumes. Atmos. Environ. 31 (1997) 991-1002
13. Yee E., and Chan R. Comments on "Relationships between higher moments of concentration and of dose in turbulent dispersion". Boundary-Layer Meteorol. 82 (1997) 341-351
14. Hilderman T.L., Hrudey S.E., and Wilson D.J. A model for effective toxic load from fluctuating gas concentrations. J. Hazard. Mater. A 64 (1999) 115-134
15. Yee E. An impact-effect mathematical model incorporating the influence of exposures to fluctuating concentrations in a dispersing plume of pollutant in the atmosphere. J. Expos. Anal. Environ. Epidemiol. 9 (1999) 300-311
16. Dyster S.J., Thomson D.J., McHugh C.A., and Carruthers D.J. Turbulent fluctuations and their use in estimating compliance with standards and in model evaluation. Int. J. Environ. Pollut. 16 (2001) 57-68
17. U.S. Defense Threat Reduction Agency (DTRA), The Hazard Prediction and Assessment Capability (HPAC) user's guide Version 4.0.3, HPAC-UGUIDE-02-U-RAC0 (Prepared for the U.S. DTRA by Science Applications International Corporation, 602 pp.), DTRA, Alexandria, VA, 2001.
18. Warner S., Platt N., and Heagy J.F. Comparisons of transport and dispersion model predictions of the URBAN 2000 field experiment. J. Appl. Meteorol. 43 (2004) 829-846
19. J.S. Irwin, 2008. Modeling air quality pollutant impacts, EORASAP (European Assoc. for the Sci. of Air Pollut.) Newsletter 40 (Dec. 2000) http://meteo.bg/EURASAP/40/paper1.html. (2000).
20. Sajo E. An estimate of spatial uncertainty of mean concentrations predicted by Gaussian dispersion models. Health Phys. 85 (2003) 174-183
21. Bogen K.T. Risk analysis for environmental health triage. Risk Anal. 25 (2005) 1085-1095
22. K.J. Allwine, K. Clawson, M.J. Leach, D. Burrows, R. Wayson, J. Flaherty, E. Allwine, Urban dispersion processes investigated during the Joint Urban 2003 Study in Oklahoma City, Proceedings of the Fifth Conference on Urban Environment, American Meteorological Society (AMS) Conference, 23-26 August 2004, Vancouver, BC, 2004.
23. K. Clawson, R.G. Carter, D.J. Lacroix, N.F. Hukari, K.J. Allwine, Joint Urban 2003 vertical SF6 real-time analyzer and time-integrated sampler data characteristics, Proceedings of the Fifth Conference on Urban Environment, American Meteorological Society (AMS) Conference, 23-26 August 2004, Vancouver, BC, 2004.
24. F.J. Gouveia, Gaussian modeling of tracer concentrations during the Joint Urban 2003 experiment, Proceedings of the Fifth Symposium on the Urban Environment, American Meteorological Society (AMS) Conference, 23-26 August 2004, Vancouver, BC, 2004.
25. Yee E., Kosteniuk P.R., and Bowers J.F. A study of concentration fluctuations in instantaneous clouds dispersing in the atmospheric surface layer for relative turbulent diffusion: basic descriptive statistics. Boundary-Layer Meteorol. 87 (1998) 409-457
26. Kendall M., and Stuart A. The Advanced Theory of Statistics, Vol. 2: Inference and Relationship. 4th ed. (1979), MacMillan Publishing Co, NY pp. 159-160
27. Snedecor G., and Cochran W.G. Statistical Methods. 8th ed. (1989), Iowa State University Press, Ames, IA p. 251
28. Wilcox R.R. Some practical reasons for reconsidering the Kolmolgorov-Smirnov test. Br. J. Math. Stat. Psychol. 50 (1997) 9-20
29. Kim P.J. On the exact and approximate sampling distribution of the two sample Kolmogorov-Smirnov criterion Dmn, m ≤ n. J. Am. Statist. Assoc. 64 (1969) 1625-1637
30. Wolfram S. Mathematica Book. 4th ed. (1999), Cambridge University Press, Cambridge, UK
31. ®, UCRL-MA-110232 Rev. 3. Lawrence Livermore National Laboratory, Livermore, CA, 2002.
32. Sugiyama G., and Chan S.T. A new meteorological data assimilation model for real-time emergency response. Proceedings of the 10th Joint Conference on the Applications of Air Pollution Meteorology. 11-16 January 1998, Phoenix, AZ, Am. Meteorol. Soc., Boston, MA (1998) 285-289
33. Ermak D.L., and Nasstrom J.S. A Lagrangian stochastic diffusion method for inhomogeneous turbulence. Atmos. Environ. 34 (2000) 1059-1068
34. Nasstrom J.S., Sugiyama G., Leone Jr. J.M., and Ermak D.L. A real-time atmospheric dispersion modeling system. Proceedings of the 11th Joint Conference on the Applications of Air Pollution Meteorology. Long Beach, CA, 9-14 January 2000. American Meteorological Society, Boston, MA (2000)
35. Yee E., and Biltoft C.A. Concentration fluctuation measurements in a plume dispersing through a regular array of obstacles. Boundary-Layer Meteorol. 111 (2004) 363-415
36. Ma Y., Boybeyi Z., Hanna S., and Chayantrakom K. Plume dispersion from the MVP filed experiment. Analysis of surface concentration and its fluctuations. Atmos. Environ. 39 (2005) 3039-3054
37. Lewis D.M. A simple model of concentration fluctuations in neutrally buoyant clouds. Boundary-Layer Meteorol. 90 (1999) 117-153
38. Venkatram A. The expected deviation of observed concentrations from predicted ensemble means. Atmos. Environ. 13 (1979) 1547-1549
39. Hanna S.R. The exponential probability density function and concentration fluctuations in smoke plumes. Boundary-Layer Meteorol. 29 (1984) 361-375
40. Finn D., Lamb B., Leclere M.Y., Lovejoy S., Peckhold S., and Schertzer D. Multifractal analysis of line-source plume concentration fluctuations in surface-layer flows. J. Appl. Meteorol. 40 (2001) 229-245
41. S.R. Hanna, P. Fabian, J.C. Chang, A. Venkatram, R. Britter, M. Neophytou, D. Brook, Use of Urban 2000 Field data to determine whether there are significant differences between the performance measures of several urban dispersion models, Am. Meteorol. Soc. Proceedings of the Fifth Conference on Urban Environment, 23-26 August 2004, Vancouver, BC, Canada, 2004, paper 7.3.
42. Alexseyev V.G. Accuracy of experimental determination of higher-order moments of time series. Eng. Cybern. (1970) 1195-1201
43. Tuggle R.M. The relationship between TLV-TWA compliance and TLV-STEL compliance. Appl. Occup. Environ. Hyg. 15 (2000) 380-386
44. Korn G.A. Random-Process Simulation and Measurements (1966), McGraw-Hill Book Co, New York, NY pp. 95-99
45. Hanna S.R., Brown M.J., Camelli F.E., Chan S.T., Coirier W.J., Hansen O.R., Huber A.H., Kim S., and Reynolds R.M. Detailed simulations of atmospheric flow and dispersion in downtown Manhattan: An application of five computational fluid dynamics models. Bull. Am. Meteorol. Soc. 87 (2006) 1713-1726
46. C. Chan, M. Leach, A validation of FEM3MP with Joint URBAN 2003 data, J. Appl. Meteorol. Climatol., in press.
47. J. Lundquist, S. Chan, Consequences of urban stability conditions for computational fluid dynamics simulations of urban simulations, J. Appl. Meteorol. Climatol., in press.
48. Lundquist J.K., Shinn J., and Gouveia F. Observations of the turbulent kinetic energy dissipation rate in the urban environment. Proceedings of the Symposium on Planning, Nowcasting, and Forecasting in the Urban Zone. American Meteorological Society Symposium. 10-15 January 2004, Seattle, WA (2004)
49. Weil J.C., Sheu R.S., Frehlich R., and Jensen M.L. Dispersion during nighttime light-wind conditions near the Pentagon. Proceedings of the 9th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling. 18-20 July 2005, Fairfax, VA (2005)
50. National Research Council (NRC), Tracking and Predicting the Atmospheric Dispersion of Hazardous Materials Releases: Implications for Homeland Security, National Academies Press, Washington, DC, 2005.