A REVIEW OF MODELS FOR THE ATMOSPHERIC DISPERSION OF HEAVY GASES. PART II. MODEL QUALITY EVALUATION

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Abstract

This is the second paper of a two part review. In its first part mathematical models for atmospheric dispersion of heavy gases are classified and the distinguished groups of models are characterised. In this part procedures for the model quality evaluation are described and the main results of model evaluation exercises and databases with experimental data related to the subject are summarised. The quality of a model is clearly of great importance since the decisions concerning the safety of people, environment are based on model calculations. Attention is focused on activities carried out in the European Union countries and in the USA. These include the work of the groups of researchers called MEG, HGDEG, projects known under the names REDIPHEM, SMEDIS, DATABASE and the model evaluation exercise carried out by the Sigma Research Corporation.

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  • [1] Markiewicz MT. Ecol Chem Eng. S. 2012;19(3):297-314. DOI: 10.2478/v10216-011-0022-y.

  • [2] Mercer A Bartholome C Carissimo B Duijm N Giesbrecht H. Heavy Gas Dispersion Expert Group Model Evaluation Group Final Report. Belgium: Directorate of Research Science and Development; 1999.

  • [3] Mercer A Bartholome C Carissimo B Duijm N Giebrecht H. I J Environ Pollut. 1997;338-345. DOI: 10.1504/IJEP.1997.028182.

  • [4] Britter R. Recent research on the dispersion of hazardous materials. EUR 18198 EN. Brussels Belgium: Council of European Communities; 1998.

  • [5] Hanna SR Drivas PJ. Guidelines for Use of Vapour Cloud Dispersion Models. New York: Center for Chemical Process Safety Institute of Chemical Engineers; 1989.

  • [6] Koopman RP Ermak DL. J. Hazard Mater. 2007;140:412-428. DOI: 10.1016/j.jhazmat.2006.10.042.

  • [7] Luketa-Hanlin A Koopman RP Ermak L. J Hazard Mater. 2007;140:504-517. DOI: 10.1016/j.jhazmat.2006.10.023.

  • [8] Markiewicz M. Modelling of the heavy gas dispersion. In: Borysiewicz M Potemski S editors. Modelling and Techniques for Health and Environment Hazard Assessment and Management. Otwock Poland: Institute of Atomic Energy; 2006:279-302.

  • [9] Markiewicz MT. Modelling of heavy gas dispersion in Poland. In: Pawlowski L Dudzinska MR Pawlowski A editors. Environmental Engineering London: Taylor and Francis; 2007:371-374.

  • [10] Emission and dispersion. In: Lees FP editor. Loss Prevention in the Process Industries. London: Butterworths; 2005.

  • [11] Chang JC Hanna SR. Meteorol Atmos Phys. 2004; 87:167-196. DOI: 10.1007/S00703-003-0070-7.

  • [12] Markiewicz MT. Fundamentals of the Pollution Dispersion in the Atmosphere. Warsaw: Warsaw Technological University Printing Office; 2004 (in Polish).

  • [13] Fox DG. Bull Am Met Soc. 1984;65:27-3; DOI: http://dx.doi.org/10.1175/1520-0477(1984)065<0027:UIAQM>2.0.CO;2.

  • [14] Hill MD. Verification and Validation of NRPB Models for Calculating Rates of Radionuclide Transfer through the Environment. Chilton UK: National Radiological Protection Board; 1988.

  • [15] Hill MD. In: Desmet G editor Reliability of Radioactive Transfer Models. London and New York: Elsevier Publishing Company; 1988:15-21. DOI: 10.1007/978-94-009-1369-1-2.

  • [16] US EPA Interim procedures for evaluating air quality models (revised) EPA-450/4-84-023 OAQPS US Environmental Protection Agency Research Triangle Park NC 1984.

  • [17] Willmott CJ Ackleson SG Davis RE Feddema JJ Klink KM Legates DR et al. J Geophys Res. 1985;90(C5):8995-9005.

  • [18] Venkatram A. Bound Layer Meteor. 1983;27:186-196.

  • [19] Weil JC Sykes RI Venkatram A. J Appl Meteor. 1983;31(10):1121-1145.

  • [20] Galmarini S Bianconi R Klug W Mikkelsen T Addis R Andronopoulos S et al. Atmos Environ. 2004;38(28):4607-4617. DOI: 10.1016/j.atmenv.2004.05.030.

  • [21] Olesen HR Chang JC. Int J Environ Pollut. 2010;40:175-183.

  • [22] Olesen HR. User’s Guide to the Model Validation Kit. Research Note No. 226; 2006.

  • [23] Cuvelier C Thunis P Vautard R Amann M Bessagnet B Bedogni M et al. Atmos Eviron. 2007;41(1):189-207. DOI: 10.1016/j.atmosenv.20006.07.036.

  • [24] Irwin JS Civerolo K Hogrefe C Appel W Foley K Swall J. Atmos Environ. 2008;42:5403-5412. DOI: 10.1016/j.atmosenv.2008.02.046.

  • [25] Dennis R Fox T Fuentes M Gilliland A Hanna S Hogrefe C et al. Environ Fluid Mech. 2010; http://dx.doi.org/10.1007s10652-009-9163-2.

  • [26] Carslaw DC Ropkins K. Environ Model Soft. 2011; http://dx.doi.org/10.1016/j.envsoft.2011.09.008.

  • [27] Borrego C Monteiro A Ferreira J Miranda AI Costa AM Carvalho AC et al. Environ Int. 2008;34:613-620. DOI: 10.1016/j.envint.2007.12.005.

  • [28] Venkatram A. Atmos Environ. 2008;42:6862-6868. DOI: 10.1016/j.atmosenv.2008.04.043.

  • [29] Overview of tools and methods for meteorological and air pollution mesoscale model evaluation and user training. Joint Report of COST Action 728 and GURME. Schlutzen KH Sokhi RS editors. Geneva: World Meteorological Organization; 2008.

  • [30] Dennis R Fox T Fuentes M Gilliland A Hanna S Hogrefe Ch et al. Environ Fluid Mech. 2010;10:471-489. DOI: 10.1007/s10652-009-9163-2

  • [31] Appel KW Gilliam RC Davis N Zubrow A Howard SC. Environ Model Soft. 2011;26:434-443. DOI: 10.101016/j.envsoft.2010.09.007.

  • [32] Thunis P Georgieva E Pederzoli A. Environ Model Soft. 2012;38:220-230. DOI: doi.org/10.1016/j.envwsoft.2012.06.005.

  • [33] Thunis P Pederzoli A Pernigotti D. Atmos Environ. 2012;59:476-482. DOI: http://dx.doi.org/10.1016/j.atmosenv.2012.05.043.

  • [34] Meroney R. J Wind Eng Ind Aerod. 2012;104-106:500-508. DOI: 10.1016/j.jweia.2012.01.001.

  • [35] Meroney R. Atmos Environ. 2012; 54:706-713. DOI:10.1016/j.atmosenv.2012.01.038.

  • [36] Sun B Utikar RP Pareek VK Guo K. J Loss Prev Proc Ind. 2013;26:117-128. DOI: http://dx.doi.org/10.1016/j.jlp.2012.10.002.

  • [37] Hanna S Britter R Argenta E Chang J. J Hazard Mater. 2012;213-214:406-412. DOI: 10.1016/j.jhazmat2012.02.013.

  • [38] Ruj B Chatterjee PK. J Loss Prev Proc Ind. 2012;650-653. DOI: 10.1016/j.jlp.2012.01.002.

  • [39] Havens J Walker HJ Spicer T. J Hazard Mater. 2012;34:33-34. DOI: http://dx.doi.org/10.1016/j.jhazmat.2012.06.055.

  • [40] Labovsky J Jelemensky L. J Loss Prev Proc Ind. 2011;24:166-177. DOI: 10.1016/j.jlp.2010.12.005.

  • [41] Pontiggia M Landucci G Busini V Derudi M Alba M Scaioni M et al. Atmos Environ. 2011;45:3913-3923. DOI: 10.1016/j.atmosenvi.2011.04.071.

  • [42] Tauseef SM Rashtchian D Abbasi SA. Loss Prev Proc Ind. 2011;24:371-376. DOI: 10.1016/j.jlp.2011.01.014.

  • [43] Sciargali F Grisafi F Busciglio A Brucato A. J Hazard Mater. 2011;197:285-293. DOI: 10.1016/j.jhazmat.2011.09.086.

  • [44] Sanchez EY Lerner JEC Porta A Jacovkis PM. Atmos Environ. 2013;64:47-55. DOI: http://dx.doi.org/10.1016/j.atmosenv.2012.09.037.

  • [45] Vilchez JA Villafane D Casal J. J Loss Prev Proc Ind. 2013;246-247:181-188. DOI: http://dx.doi.org/10.1016/j.jhazmat.2012.11.045.

  • [46] Mercer A. Methods of validating models of dense gas dispersion: a review. In: Puttock JS editor. Stably Stratified Flows and Dense Gas Dispersion. Oxford UK: Clarendon Press; 169-203 1988.

  • [47] Fay JA Ranck D. Atmos Environ. 1983;17:239-248. DOI: http://dx.doi.org/10.1016/0004-6981(83)90039-2.

  • [48] Wheatley CJ Webber DM. Aspects of the dispersion of heavier than air vapour related to cloud gas explosions. Report EUR-9592 1984.

  • [49] Woodward L Havens WC Mcbride JA Taft JR. J Hazard Mater. 1982;6:161-180. DOI: 10.1016/0304-3894(82)80038-1.

  • [50] Ermak DL Chan ST Morgan DL Morris LK. J Hazard Mater. 1982;6:129-160. DOI: 10.1016/0304-3894(82)80037-X.

  • [51] Ermak DL Rodean HC Lange R Chan ST. A survey of denser than air atmospheric dispersion models.UCRL-21024. Livermore California: Lawrence Livermore National Laboratory; 1988.

  • [52] Havens JA Spicer TO Schreurs DP. Evaluation of 3D hydrodynamic computer models for prediction LNG vapour dispersion in the atmosphere. Report GRI-87-0173. Chicago: Gas Research Institute; 1987.

  • [53] Ermak DL Merry MH. A methodology for evaluating heavy gas dispersion models. Lawrence Livermore National Laboratory for Air Force Engineering and Services Center Report ESL-TR-88-37 Tyndal AFB Florida; 1988.

  • [54] Britter RE. The evaluation of technical models used for major-accident hazard installations. EUR 14774 Brussels Belgium: CEC; 1991.

  • [55] Petersen KE. J Hazard Mater. 1999;65:37-41. PII S034-3894(98)00252-0.

  • [56] Vergison E. J Hazard Mater. 1996;49:281-297. PII S034-3894(96)01746-3.

  • [57] Duijm NJ. Carissimo B Mercer A Bartholome C Giesbrecht H. J Hazard Mater. 1997;56:273-285. PII S50304-3839(97)00069-1. DOI: http://dx.doi.org/10.1016/S0304-3894(97)00069-1.

  • [58] Duijm NJ Ott S Nielsen M. J Loss Prev Proc Ind. 1996;9:23-338. DOI: http;//dx.doi.org/10.1016/0950-4230(96)00027-7.

  • [59] Bakkum E. Heavy gas dispersion evaluation protocol REDIPHEM Project Report. Appeldorn: TNO; 1994.

  • [60] Carissimo B Jagger SF Daish NC Halford A Selmer-Olsen S Perroux JM et al. Int J Environ Pollut. 2001;16(1-6):614-629. DOI: 10.1504/IJEP.2001.000654.

  • [61] Daish NC Britter RE Linden PF Jagger SF Carissimo B. I J Environ Pollut. 2000;14:39-51. DOI: 10.1504/IJEP.2000.000525.

  • [62] Coldrick S Lea CJ Ivings MJ. Guide to the LNG model validation database HSE Report Fire Protection Research Foundation; 2010. www.npfa.org/foundation.

  • [63] Ivings MJ Jagger SF Lea CJ Webber DM. Evaluating vapour dispersion models for safety analysis of LNG facilities research project. HSE Report. Fire Protection Research Foundation; 2007. www.nfpa.org.foundation.

  • [64] Ivings MJ Lea CJ Webber DM Jagger SF Coldrick S. A protocol for the evaluations of LNG vapour dispersion models. J Loss Prev Proc Ind. 2013;26:157-163. DOI: //dx.doi.org/10.1016/j.jlp.2012.10.005.

  • [65] Weil JC Sykes R Venkatram A. J Appl Meteor. 1992;31:1121-1145. DOI: http://dx.doi.org/10.1175/1520-0450(1992)031<1121:EAQMRA>2.0.CO;2.

  • [66] Hanna SR Chatwin P Chikhliwala E Londergan R Spicer T Weil J. Plant Oper Prog. 1992;11:2-5. DOI: 10.1002/prsb.720110106.

  • [67] Zapert JG Londergan RJ Thistle H. Evaluation of dense gas simulation models. US EPA Report EPA 450/4-90-018 North Carolina: Research Triangle Park; 1991.

  • [68] Touma JS Cox WM Thistle H Zapert JG. J Appl Meteor. 1995;34:603. DOI: hhtp://dx.doi.org/10.1175/1520-0450(1995)034<0603:PEODGD>2.0.CO;2.

  • [69] Hanna SR Chang JC Strimaitis DG. Atmos Environ. 1993;27A(15):2265-2285.

  • [70] Hanna SR Strimaitis DG Chang JC. J Hazard Mater. 1991;26:127-158.

  • [71] Hanna SR Strimaitis DG Chang JC. Hazard response modelling uncertainty. Evaluation of commonly used hazardous gas dispersion models. Final report. Westford MA USA: Sigma Research; 1991.

  • [72] Nielsen M Ott S. A collection of data from dense gas experiments. Report R-845. Roskilde Denmark: Riso National Laboratory; 1995.

  • [73] Kako R Lansipuro H Kujansuu E Lancia A Gambirasio A Ziomas IC et al. J Loss Prev Proc Ind. 1996;9:401-411.

  • [74] Koopman RP Baker RT Cederwall RT Goldwire HC Hogan WJ Kamppinen LM et al. Burro series data report LLNL/NWC LNG Spill Tests UICD 19075. Livermore California: Lawrence Livermore National Laboratories; 1982.

  • [75] Koopman RP Cederwall RT Ermak DL Goldwire HC Hogan WJ McClure JW et al. Analysis of Burro series 40 m3 LNG spill experiments. J Hazard Mater. 1982;6:43-83. DOI: 10.1016/0304-3894(82)80034-4.

  • [76] Koopman RP Ermak DL Chan T. Atmos Environ. 1989;23:731-745. DOI: 10.1016/0004-6981(89)90475-7.

  • [77] Goldwire HC Morris LK Kamppinen L Kiefar RD Lind CD Urtiew PA. Coyote series data report LLNL/NWC LNG spill tests. Livermore California: Lawrence Livermore National Laboratory; 1983.

  • [78] Goldwire HC Rodean HC Cederwall RP Kansa GJ Koopman RP McClure JW et al. Coyote series data report LLNL/NWC LNG spill tests Dispersion vapour burn and rapid transition. Livermore California: Lawrence Livermore National Laboratories; 1983.

  • [79] Goldwire HC McRae TG Johnson GW Hippie DL Koopman RP McClure JW et al. Desert Tortoise second data report: 1983 pressurised ammonia spills. UCID-20562. Livermore California: Lawrence Livermore National Laboratory; 1985.

  • [80] Koopman RP McRae TG Goldwire HC Ermak DL Kansa EJ. Results of recent large scale NH3 and N2O4 dispersion experiments. In: Hartwig S editor. Heavy Gas and Risk Assessment. D. Reidel Publishing; 1986:137-156.

  • [81] Brown TC Cederwall RT Ermak DL Koopman RP McClure TC Morris LK. Falcon series data report.Livermore California: Lawrence Livermore National Laboratory; 1989.

  • [82] McRae TG Cederwall RT Ermak DL Goldwire JJ Hipple DL Johnson GW et al. Eagle series data report: 1983 Nitrogen tetroxide spills CID-20063. Livermore California: Lawrence Livermore National Laboratory; 1984.

  • [83] Blewitt DN Yohn JF Koopman RP Brown TC. Conduct of adhydrous hydrofluoric acid spill experiment.In: Proceedings of the International Conference on Vapour Cloud Modelling. New York: AICHE; 1987:1-38.

  • [84] Puttock JS Colenbrander GW Blackmoore DR. Maplin Sands experiments 1980: Dispersion results from continuous releases of refrigerated liquid propane and LNG. In: Wispelaere CD editor. Air Pollution Modelling and its Application. New York: Plenum Press; 1982;4:353-378.

  • [85] Puttock JS Blackmore DR Colenbrander GW. J Hazard Mater. 1982;6:13-41.

  • [86] McQuaid J Roebuck B. Large scale field trials on dense vapour dispersion. Report 10029. Brussels: Health and Safety Executive; 1985.

  • [87] McQuaid J Roebuck B Wilde DG. Saf Therm Water React. 1985; 179-189. DOI: 10.1007/978-94-009-4972-0-18.

  • [88] McQuaid J. Large scale experiments on the dispersion of heavy gas clouds. In: Ooms G Tennekes H editors. Atmospheric Dispersion of Heavy Gases and Small Particles. Berlin: Springer Verlag; 1984:129-138.

  • [89] McQuaid J. Observations on the current status of field experimentation on heavy gas dispersion. In: Ooms G Tennekes H editors. Atmospheric Dispersion of Heavy Gas and Small Particles. Berlin: Springer Verlag; 1983:241-265.

  • [90] McQuaid J. J Hazard Mater. 1987;16:1-8. DOI: 10.1016/0304-3894(87)80024-9.

  • [91] Davies ME Singh S. J Hazard Mater. 1985;11/3:91.

  • [92] Nielsen M Bengtsson R Jones C Nyren K Ott S Ride D. Design of the FLADIS field experiments with dispersion of liquefied ammonia. Riso Report R 755. Roskilde Denmark: Riso National Laboratory; 1994

  • [93] Nielsen M. Surface concentrations in the FLADIS field experiments. Riso Report R 995. Roskilde Denmark; Riso National Laboratory; 1996.

  • [94] Nielsen M Ott S Jorgensen HE Bengtsson R Nyren K Winter S et al. J Hazard Mater. 1997;56:59-105.PII S0304-3894(97)00029-0.

  • [95] Nielsen M Ott S. J Hazard Mater. 1999;A67:41-58. PII S0304-3894(99)00016-3.

  • [96] Heinrich M Scherwinski R. Research on propane releases under realistic conditions. Determination of gas concentrations considering obstacles TUV Report 123U1000780. Germany: Technischer Uberwachungs Verain; 1990.

  • [97] Schatzmann M Marotzke K Donat J. A research on continuous and instantaneous heavy gas clouds.Contribution to project EV 4T-0021-D to the final report of the joint CEC project. Hamburg Germany: University of Hamburg; 1991.

  • [98] Schatzmann M Snyder WH Lawson RE. Atmos Environ. 1993;27:1105-1116. DOI: 10.1016/0960-1686(93)90145-0.

  • [99] Donat J Schatzmann M. J Wind Eng Ind Aerodyn. 1999;83:361-370. DOI: http://dx.doi.org/10.1016/S0167-6105(99)00085-9.

  • [100] Builtjes PH. Research on continuous and instantaneous heavy gas releases TNO-ME Report 92-135.Appeldorn The Netherlands: TNO; 1992

  • [101] Van Oort H Builtjes PJH. Research on continuous and instantaneous heavy gas clouds. MT-TNO wind tunnel experiments TNO report 91-026. Apeldoorn The Netherlands: TNO Division of Technology for Society; 1991.

  • [102] Duijm NJ. Research on the dispersion of two phase flashing releases - FLADIS. Fladis final report R 94-451. Apeldorn The Netherlands: TNO; 1994.

  • [103] Hall DJ Waters RA Marsland A Upton SL. Repeat variability in instantaneous released heavy gas clouds dispersing over fences. Some wind tunnel model experiments. Stevenage Herdfordshire UK: Warren Spring Laboratories; 1991.

  • [104] Davies JKW Hall DJ. J Hazard Mater. 1996;49:311-328. DOI: http://dx.doi.org/10.16/0304-3894(96)01748-7.

  • [105] Hall RC editor. Evaluation of modelling uncertainty (EMU). CFD modelling of near field atmospheric dispersion. EU Project EV5V-CT94-0531 Final Report. Epsom Surrey UK: WS Atkins Consultants Limited; 1997.

  • [106] Havens J Spicer T. Proc Saf Prog. 2005;24:181-186. DOI: 10.1002/prs.10080.

  • [107] Hanna SR Steinberg KW. Atmos Environ. 2001;35:2223-2229. PII S1352-2310(00)00284-3.

  • [108] Briggs GA Britter RE Hanna SR Havens JA Robins AG Snyder WH. Atmos Environ. 2001;35:2265-2284. PII S1352-2310(00)00360-5.

  • [109] Britter RE Briggs GA Hanna SR Robins AG. Atmos Environ. 2003;37:3885-3894. DOI: 10.1016/S1352-2310(03)00299-1.

  • [110] Hanna SR Chang JC. Atmos Environ. 2001;35:2231-2242. PII S1352-2310(00)00481-7.

  • [111] Havens J Walker H Spicer TO. Atmos Environ. 2001;35:2305-2317. PII S1352-2310(00)00491-x.

  • [112] Robins A Castro I Hayden P Steggel N Contini D Heist D et al. Atmos Environ. 2001;35:2253-2263.PII S1352-2310(01)00073-5.

  • [113] Robins A Castro I Hayden P Steggel N Contini D Heist D et al. Atmos Environ. 2001;35:2243-2252. PII S1352-2310(01)00072-3.

  • [114] Snyder WH. Atmos Environ. 2001; 35:2285-2304. PII S1352-2310(00)00214-4.

  • [115] Hanna S Britter R Argenta E Chang J. J Hazard Mater. 2012;213-214:405-412. DOI: 10.1016/j.jhazmat.2012.02.013.

  • [116] Wannberg VE Williams G Sawayer P Venedam R. J Appl Metoeor Climatol. 2010;49:1805-1817. DOI: http://dx.doi.org/10.1175/2010JAMC2383.1.

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