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Air Dispersion Model for Prediction Fugitive Landfill Gaseous Emission Impact in Ambient Atmosphere

Authors: Moustafa Osman Mohammed


This paper will explore formation of HCl aerosol at atmospheric boundary layers and encourages the uptake of environmental modeling systems (EMSs) as a practice evaluation of gaseous emissions (“framework measures”) from small and medium-sized enterprises (SMEs). The conceptual model predicts greenhouse gas emissions to ecological points beyond landfill site operations. It focuses on incorporation traditional knowledge into baseline information for both measurement data and the mathematical results, regarding parameters influence model variable inputs. The paper has simplified parameters of aerosol processes based on the more complex aerosol process computations. The simple model can be implemented to both Gaussian and Eulerian rural dispersion models. Aerosol processes considered in this study were (i) the coagulation of particles, (ii) the condensation and evaporation of organic vapors, and (iii) dry deposition. The chemical transformation of gas-phase compounds is taken into account photochemical formulation with exposure effects according to HCl concentrations as starting point of risk assessment. The discussion set out distinctly aspect of sustainability in reflection inputs, outputs, and modes of impact on the environment. Thereby, models incorporate abiotic and biotic species to broaden the scope of integration for both quantification impact and assessment risks. The later environmental obligations suggest either a recommendation or a decision of what is a legislative should be achieved for mitigation measures of landfill gas (LFG) ultimately.

Keywords: Spatial analysis, air dispersion model, landfill management, environmental impact and risk assessment

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[1] UE: Public Policy Initiatives to Promote the Uptake of Environmental Modeling Systems in Small and Medium-Sized Enterprises. Final report of the best project expert group January 2004.
[2] Robert K H, “Tools and Concepts for Sustainable Development, how do they relate to A General Framework for Sustainable Development, and to each other”, Journal of Clearner Production: pp12.”, 2001.
[3] Shao Y, “Physics and Modeling of Wind Erosion”, 2009.
[4] Kon L C, Durucan S., and Korre A., “The Development and Application of a Wind Erosion Model for The Assessment of Fugitive Dust Emissions from Mine Tailings Dumps”, International Journal of Mining, Reclamation and Environment, 21(3): p. 198-218. 2007.
[5] Park Y K, and Park S, “Development of a New Wind-Blown-Dust Emission Module Using Comparative Assessment of Existing Dust Models”, Particulate science and technology, 2010. 28(3): p. 267-286, 2010.
[6] Kouznetsov R, and Sofiev M, “A Methodology for Evaluation of Vertical Dispersion and Dry Deposition of Atmospheric Aerosol”, Journal of Geophysics Research, 117, D01202, doi:10.1029/2011JD016366, 2012.
[7] Lui F, Cheng J X, Nui R T, Zhang X K, and Sun W,” The Compassion of Wedge and Hotspots Radioactive Aerosol Diffusion Mechanisms”, Frontiers of Energy and Environmental Engineering, Sung Kao and Chen (eds), © Taylor and Francis Groups, London ISBN 978-0-415066159-1, 2013.
[8] McKenna Neuman C, Boulton J W, and Sanderson S, “Wind Tunnel Simulation of Environmental Controls on Fugitive Dust Emissions from Mine Tailings”, Atmospheric Environment, 43(3): p. 520-529. 2009.
[9] U.S. EPA, Revision to the guideline on air quality models, “Adoption of a Preferred General Purpose (Flat and Complex Terrain) Dispersion Model and other Revisions”, Federal Register, 9 November 2015, Vol.70 (216), pp.68218-68261, 2015. 70 (216): p. 68218-68261.
[10] Turner D B, “Workbook of Atmospheric Dispersion Estimates: An Introduction to Dispersion Modeling”, 2nd Edition, CRC Press. ISBN 1-56670-023-X,, 1994.
[11] Schnelle Karl B, and Dey Partha R, "Atmospheric Dispersion Modeling Compliance Guideline”, McGraw-Hill, ISBN 0-07-058059-6, 2000.
[12] Kon L C, Durucan S, and Korre A, “The Development and Application of a Wind Erosion Model for the Assessment of Fugitive Dust Emissions from Mine Tailings Dumps”, International Journal of Mining, Reclamation and Environment, 21(3): p. 198-218, 2007.
[13] U.S. EPA, “Emissions Factors & AP 42, Compilation of Air Pollutant Emission Factors”, 1995.
[14] Kukkonen J, Karl M, Keuken M P, Denier van der Gon H A C, Denby B R, Singh V, Douros J, Manders A, Samaras Z, Moussiopoulos N, Jonkers S, Aarnio M, Karppinen A, Kangas L, Lützenkirchen S, Petäjä T, Vouitsis I, and Sokhi RS “Modelling the Dispersion of Particle Numbers in Five European Cities”, Geosci. Model Dev., 9, 451–478, doi:10.5194/gmd-9-451- 2016, 2016.
[15] Kumar P, Ketzel M, Vardoulakis S, Pirjola L, and Britter R, “Dynamics and Dispersion Modelling of Nanoparticles in the Urban Atmospheric Environment – A Review”, Journal of Aerosol Science, 42, 580–603, 2011.
[16] Soares J, KousaA, Kukkonen J, Matilainen L, Kangas L, Kauhaniemi M, Riikonen K, Jalkanen J-P, Rasila T, Hänninen O, Koskentalo T, Aarnio M, Hendriks C, and Karppinen A, 2014Ss “Refinement of a Model for Evaluating the Population Exposure in an Urban Area”, Geoscience Model Development, 7, 1855–1872, doi:10.5194/gmd-7-1855-2014, 2014.
[17] Lawrence, W G, K C Clemishaw, and V A Apkarian, “On the Relevance of OClO Photodissociation to Destruction of Stratosphereic Ozone”, Journal Geophysics Research, 95, 18591 – 18595 (1990)
[18] Annual Book of ASTM Standards, “Atmospheric Analysis”, American Society for Testing and Materials, Philadelphia, Pennsylvania, 2015.
[19] Grosjean D, and Fung K, “Collection Efficiencies of Cartridges and Micro-Impingers for Sampling of Aldehydes in Air as 2,4-Dinitrophenylhydrazones”, Chemical Analysis, 54, 1221-1224, 1982.
[20] John H N, and Scott C S, “Laboratory and Field Evaluation of a Methodology for Determination of Hydrogen Chloride Emission from Municipal and Hazardous Waste Incineration”, Atmospheric Research and Exposure Assessment Laboratory, Office of Research and Development, EPA Contract No 68-02-4442, US Environmental Protection Agency, Research Triangle Park, North Carolina, April 1989
[21] Longley, P.A., M.F. Goodchild, D.J. Maguire, D.W. Rhind, “Geographic Information Systems and Science”, John Wiley & Sons, 27-58, New York, 2001
[22] Civis S, Zelinger Z, Strizik M, and Janour Z., “Simulation of Air Pollution in a Wind Tunnel”, In: Spectroscopy from Space, (Demaison, J., Ed.), Kluwer Academic, Dordrecht, 275-299, 2001.
[23] Zelinger Z, Strizik M, Janour Z, Berger P, Cerny A, “Comparison of Model and in-Situ Measurements of Distribution of Atmospheric Pollutants”, Proceedings of PHYSMOD 2003: International Workshop on Physical Modeling of Flow and Dispersion Phenomena, Italy, 6 pp., 2003
[24] Briggs D J, “A Regression-Based Method for Mapping Traffic-Related Air Pollution: Application and Testing in four Contrasting Urban Environments”, the science of the total environment 253, 151-167, 2000.
[25] U.S. EPA, “User’s guide for the Industrial Source Complex (ISC3) Dispersion Models”, Volume I – user instructions, Washington, DC, 1995.
[26] Pssquill F., and F.B Smith, “Atmospheric Diffusion”, 3’d edition, Ellis Horwood, Chichester, UK, (1983).
[27] Hanna S R, Briggs G A, and Hosker Jr, “RP: Handbook on Atmospheric Diffusion”, edited by: Smith J S, DOE/TIC-11223, Technical Information Center, US Department of Energy, Springfield, USA, 1982.
[28] Irwin J S, “Proposed Criteria for Selection of Urban Versus Rural Dispersion Coefficients”, Meteorology and Assessment Division, U.S. Environmental Protection Agency, Research Triangle Park, NC, (Docket No. A-8046, II-B-8), (1978).
[29] Office of Environmental Health Hazard Assessment, OEHHA, 2012a, “Air Toxics Hot Spots Program Risk Assessment Guidelines”, Technical Support Document for Exposure Assessment and Stochastic Analysis, 2012. Available online at
[30] U.S. EPA. (2009), “Metabolically Derived Human Ventilation Rates: A Revised Approach Based Upon Oxygen Consumption Rates”, U.S. Environmental Protection Agency, National Center for Environmental Assessment, Washington, DC; EPA/600/R-06/129F, 2009
[31] U.S. EPA, “Risk Assessment Guidelines”, Office of Health and Environmental assessment USEPA, Washington DC 20460, 1989
[32] Lees F P, 1996, “Loss Prevention in the Process Industries: Hazard identification, assessment and control”, 2nd ed, Butterworth-Heinemann, Oxford.
[33] Eisenberg N A, Lynch C J and Breeding R J, “Vulnerability Model: a simulation system for assessing damage resulting from marine spill”, Reported by enviro control Inc. to US coast guard, DOT-CG-33377-A, National Technical Information Service No Ad-A015, 1975
[34] Louvar J F, and Louvar B D, “Health and Environmental Risk Analysis: Fundamentals with Applications”, Prentice Hall Environmental Management and Engineering Series Volume 2. 1998.
[35] Seller J G, “Quantification of Toxic Gas Emission Hazards”, The institute of Chemical Engineers, Symposium Series, No 47, 127-134 1976.
[36] U.S. Environmental Protection Agency: “EPA’s Integrated Risk Information System (IRIS) Program”, Progress Report and Report to Congress, Office of Research and Development, February, 2015
[37] WHO (World Health Organization), “Environmental Health Criteria”, IPCS International Programme on chemical Safety, Geneva, 1986.
[38] U. S. EPA, “Superfund Exposure Assessment Manual”, 1988
[39] Behnke W, George C, Scheer V, and Zetzsch C, “Production and Decay of CINO2 from the Reaction of Gaseous N2O5 with NaCl Solution: Bulk and Aerosol Experiments”, Journal of geophysics Research, 36, 3795-3804,1997
[40] Schweitzer F, Mirabel P, and George C, “Multiphase Chemistry of N2O5, CINO2 and BrNO2”, Journal of Atmospheric Chemistry and Physics, 102, 3942-3952,1998