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1

Scase, M. M., and R. E. Hewitt. "Unsteady turbulent plume models." Journal of Fluid Mechanics 697 (March 12, 2012): 455–80. http://dx.doi.org/10.1017/jfm.2012.77.

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AbstractFour existing integral models of unsteady turbulent plumes are revisited. We demonstrate that none of these published models is ideal for general descriptions of unsteady behaviour and put forward a modified model. We show that the most recent (top-hat) plume model (Scase et al. J. Fluid Mech., vol. 563, 2006, p. 443), and the earlier (Gaussian) plume models (Delichatsios J. Fluid Mech., vol. 93, 1979, p. 241; Yu Trans. ASME, vol. 112, 1990, p.186), are all ill-posed. This ill-posedness arises from the downstream growth of short-scale waves, which have an unbounded downstream growth ra
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Korsakissok, Irène, and Vivien Mallet. "Comparative Study of Gaussian Dispersion Formulas within the Polyphemus Platform: Evaluation with Prairie Grass and Kincaid Experiments." Journal of Applied Meteorology and Climatology 48, no. 12 (2009): 2459–73. http://dx.doi.org/10.1175/2009jamc2160.1.

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Abstract This paper details a number of existing formulations used in Gaussian models in a clear and usable way, and provides a comparison within a single framework—the Gaussian plume and puff models of the air quality modeling system Polyphemus. The emphasis is made on the comparison between 1) the parameterizations to compute the standard deviations and 2) the plume rise schemes. The Gaussian formulas are first described and theoretically compared. Their evaluation is then ensured by comparison with the observations as well as with several well-known Gaussian and computational fluid dynamics
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3

Carrascal, M. D., M. Puigcerver, and P. Puig. "Sensitivity of Gaussian plume model to dispersion specifications." Theoretical and Applied Climatology 48, no. 2-3 (1993): 147–57. http://dx.doi.org/10.1007/bf00864921.

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4

Li, Jia Yang, Feng Guo, and Ya Nan Li. "Diffusion Model of Atmospheric Fine Particles PM2.5 under the Direction of the Wind." Applied Mechanics and Materials 587-589 (July 2014): 780–83. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.780.

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The causes of atmospheric fine particles PM2.5 are complicated and are influenced by multiple factors conditions. Considering the analysis of the diffusion problem under the direction of the wind change, this paper proposes a gray theory and a new way of combining Gaussian plume model, namely the MGM - Gaussian plume diffusion model. Draw the diffusion area of PM2.5 under the influence of the wind.
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5

Demael, E., and B. Carissimo. "Comparative Evaluation of an Eulerian CFD and Gaussian Plume Models Based on Prairie Grass Dispersion Experiment." Journal of Applied Meteorology and Climatology 47, no. 3 (2008): 888–900. http://dx.doi.org/10.1175/2007jamc1375.1.

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Abstract A theoretical and statistical comparison of a three-dimensional computational fluid dynamics (CFD) model with two Gaussian plume models is proposed on the Prairie Grass data field experiment for neutral conditions, using both maximum arcwise concentrations and spatially paired observations. In theory, it is impossible to have the same near-source behavior with the Eulerian CFD code as with the Gaussian plume models. The former presents the inability to account for the dependence of the turbulent diffusivity to the distance from the source, contrary to plume models for which this depen
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LIMA NETO, IRAN E., and PRISCILA A. B. PARENTE. "Influence of mass transfer on bubble plume hydrodynamics." Anais da Academia Brasileira de Ciências 88, no. 1 (2016): 411–22. http://dx.doi.org/10.1590/0001-3765201520140453.

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ABSTRACT This paper presents an integral model to evaluate the impact of gas transfer on the hydrodynamics of bubble plumes. The model is based on the Gaussian type self-similarity and functional relationships for the entrainment coefficient and factor of momentum amplification due to turbulence. The impact of mass transfer on bubble plume hydrodynamics is investigated considering different bubble sizes, gas flow rates and water depths. The results revealed a relevant impact when fine bubbles are considered, even for moderate water depths. Additionally, model simulations indicate that for weak
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7

Craske, John, and Maarten van Reeuwijk. "Generalised unsteady plume theory." Journal of Fluid Mechanics 792 (March 9, 2016): 1013–52. http://dx.doi.org/10.1017/jfm.2016.72.

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We develop a generalised unsteady plume theory and compare it with a new direct numerical simulation (DNS) dataset for an ensemble of statistically unsteady turbulent plumes. The theoretical framework described in this paper generalises previous models and exposes several fundamental aspects of the physics of unsteady plumes. The framework allows one to understand how the structure of the governing integral equations depends on the assumptions one makes about the radial dependence of the longitudinal velocity, turbulence and pressure. Consequently, the ill-posed models identified by Scase &amp
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Mallia, Derek, Adam Kochanski, Shawn Urbanski, and John Lin. "Optimizing Smoke and Plume Rise Modeling Approaches at Local Scales." Atmosphere 9, no. 5 (2018): 166. http://dx.doi.org/10.3390/atmos9050166.

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Heating from wildfires adds buoyancy to the overlying air, often producing plumes that vertically distribute fire emissions throughout the atmospheric column over the fire. The height of the rising wildfire plume is a complex function of the size of the wildfire, fire heat flux, plume geometry, and atmospheric conditions, which can make simulating plume rises difficult with coarser-scale atmospheric models. To determine the altitude of fire emission injection, several plume rise parameterizations have been developed in an effort estimate the height of the wildfire plume rise. Previous work has
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Karol, I. L., Y. E. Ozolin, and E. V. Rozanov. "Box and Gaussian plume models of the exhaust composition evolution of subsonic transport aircraft in- and out of the flight corridor." Annales Geophysicae 15, no. 1 (1997): 88–96. http://dx.doi.org/10.1007/s00585-997-0088-0.

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Abstract. A box and a Gaussian plume model including gas-phase photochemistry and with plume dispersion parameters estimated from the few available plume observations are proposed and used for evaluation of photochemical transformations of exhausts from a single subsonic transport aircraft. The effects of concentration inhomogeneities in the plume cross section on the photochemical sources and sinks in the plume are analyzed for various groups of compounds. The influence of these inhomogeneities on the rate and on the mass of ambient air entrainment into the plume are studied also by comparing
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10

Sanchez, M. L., J. L. Sanchez, and M. C. Ramos. "A statistical approach for improving the Gaussian plume model." Atmospheric Research 21, no. 1 (1987): 75–82. http://dx.doi.org/10.1016/0169-8095(87)90018-4.

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11

Brown, Michael J., S. Pal Arya, and William H. Snyder. "Plume: Descriptors derived from a non-Gaussian concentration model." Atmospheric Environment 31, no. 2 (1997): 183–89. http://dx.doi.org/10.1016/1352-2310(96)00487-6.

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12

Cunningham, Philip, Scott L. Goodrick, M. Yousuff Hussaini, and Rodman R. Linn. "Coherent vortical structures in numerical simulations of buoyant plumes from wildland fires." International Journal of Wildland Fire 14, no. 1 (2005): 61. http://dx.doi.org/10.1071/wf04044.

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The structure and dynamics of buoyant plumes arising from surface-based heat sources in a vertically sheared ambient atmospheric flow are examined via simulations of a three-dimensional, compressible numerical model. Simple circular heat sources and asymmetric elliptical ring heat sources that are representative of wildland fires of moderate intensity are considered. Several different coherent vortical structures that dominate the plume structure and evolution are evident in the simulations, and these structures correspond well with those observed in plumes from wildland fires. For the circula
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13

Naiman, A. D., S. K. Lele, J. T. Wilkerson, and M. Z. Jacobson. "Parameterization of subgrid aircraft emission plumes for use in large-scale atmospheric simulations." Atmospheric Chemistry and Physics Discussions 9, no. 6 (2009): 24755–81. http://dx.doi.org/10.5194/acpd-9-24755-2009.

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Abstract. Aircraft emissions differ from other anthropogenic pollution in that they occur mainly in the upper troposphere and lower stratosphere where they can form condensation trails (contrails) and affect cirrus cloud cover. In determining the effect of aircraft on climate, it is therefore necessary to examine these processes. Previous studies have approached this problem by treating aircraft emissions on the grid scale, but this neglects the subgrid scale nature of aircraft emission plumes. We present a new model of aircraft emission plume dynamics that is intended to be used as a subgrid
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14

Peltier, Leonard J., Sue Ellen Haupt, John C. Wyngaard, et al. "Parameterizing Mesoscale Wind Uncertainty for Dispersion Modeling." Journal of Applied Meteorology and Climatology 49, no. 8 (2010): 1604–14. http://dx.doi.org/10.1175/2010jamc2396.1.

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Abstract A parameterization of numerical weather prediction uncertainty is presented for use by atmospheric transport and dispersion models. The theoretical development applies Taylor dispersion concepts to diagnose dispersion metrics from numerical wind field ensembles, where the ensemble variability approximates the wind field uncertainty. This analysis identifies persistent wind direction differences in the wind field ensemble as a leading source of enhanced “virtual” dispersion, and thus enhanced uncertainty for the ensemble-mean contaminant plume. This dispersion is characterized by the L
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15

Naiman, A. D., S. K. Lele, J. T. Wilkerson, and M. Z. Jacobson. "Parameterization of subgrid plume dilution for use in large-scale atmospheric simulations." Atmospheric Chemistry and Physics 10, no. 5 (2010): 2551–60. http://dx.doi.org/10.5194/acp-10-2551-2010.

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Abstract. A new model of plume dynamics has been developed for use as a subgrid model of plume dilution in a large-scale atmospheric simulation. The model uses mean wind, shear, and diffusion parameters derived from the local large-scale variables to advance the plume cross-sectional shape and area in time. Comparisons with a large eddy simulation of aircraft emission plume dynamics, with an analytical solution to the dynamics of a sheared Gaussian plume, and with measurements of aircraft exhaust plume dilution at cruise altitude show good agreement with these previous studies. We argue that t
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16

Lotrecchiano, Nicoletta, Daniele Sofia, Aristide Giuliano, Diego Barletta, and Massimo Poletto. "Pollution Dispersion from a Fire Using a Gaussian Plume Model." International Journal of Safety and Security Engineering 10, no. 4 (2020): 431–39. http://dx.doi.org/10.18280/ijsse.100401.

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17

Kaasik, Marko, Gertie Geertsema, and Rinus Scheele. "Validation of Gaussian plume model Aeropol against Cabauw field experiment." International Journal of Environment and Pollution 62, no. 2/3/4 (2017): 369. http://dx.doi.org/10.1504/ijep.2017.089420.

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18

Scheele, Rinus, Marko Kaasik, and Gertie Geertsema. "Validation of Gaussian plume model Aeropol against Cabauw field experiment." International Journal of Environment and Pollution 62, no. 2/3/4 (2017): 369. http://dx.doi.org/10.1504/ijep.2017.10010438.

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19

Pinçon, C., T. Appourchaux, and G. Buldgen. "Amplitude of solar gravity modes generated by penetrative plumes." Astronomy & Astrophysics 650 (June 2021): A47. http://dx.doi.org/10.1051/0004-6361/202040003.

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Context. The observation of gravity modes is expected to give us unprecedented insights into the inner dynamics of the Sun. Nevertheless, there is currently no consensus on their detection. Within this framework, predicting their amplitudes is essential to guide future observational strategies and seismic studies. Aims. While previous estimates considered convective turbulent eddies as the driving mechanism, our aim is to predict the amplitude of low-frequency asymptotic gravity modes generated by penetrative convection at the top of the radiative zone. Methods. A generation model previously d
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20

Carlson, J. D., and Derek S. Arndt. "The Oklahoma Dispersion Model: Using the Gaussian Plume Model as an Operational Management Tool for Determining Near-Surface Dispersion Conditions across Oklahoma." Journal of Applied Meteorology and Climatology 47, no. 2 (2008): 462–74. http://dx.doi.org/10.1175/2007jamc1418.1.

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Abstract The Oklahoma Dispersion Model (ODM) represents a current innovative application of the classic Gaussian plume model in an operational setting. Utilizing a statewide mesoscale automated weather station network (the Oklahoma Mesonet) for current weather conditions and 60-h gridded Nested Grid Model (NGM) model output statistics (MOS) forecasts for future conditions, the ODM is an Internet-based management tool that can be used to qualitatively assess current and future atmospheric dispersion conditions across Oklahoma for near-surface releases of gases and small particulates. The ODM is
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21

Briant, R., C. Seigneur, M. Gadrat, and C. Bugajny. "Evaluation of roadway Gaussian plume models with large-scale measurement campaigns." Geoscientific Model Development 6, no. 2 (2013): 445–56. http://dx.doi.org/10.5194/gmd-6-445-2013.

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Abstract. Gaussian models are commonly used to simulate atmospheric pollutant dispersion near sources because they provide an efficient compromise between reasonable accuracy and manageable computational time. The Gaussian dispersion formula provides an exact solution to the atmospheric diffusion equation for the dispersion of a pollutant emitted from a point source. However, the Gaussian dispersion formula for a line source, which is convenient to model emissions from on-road traffic, is exact only when the wind is perpendicular to the line source. A novel approach that reduces the error in t
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Briant, R., C. Seigneur, M. Gadrat, and C. Bugajny. "Evaluation of roadway Gaussian plume models with large-scale measurement campaigns." Geoscientific Model Development Discussions 5, no. 4 (2012): 3343–73. http://dx.doi.org/10.5194/gmdd-5-3343-2012.

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Abstract. Gaussian models are commonly used to simulate atmospheric pollutant dispersion near sources because they provide an efficient compromise between reasonable accuracy and manageable computational time. The Gaussian dispersion formula provides an exact solution to the atmospheric diffusion equation for the dispersion of a pollutant emitted from a point source. However, the Gaussian dispersion formula for a line source, which is convenient to model emissions from on-road traffic, is exact only when the wind is perpendicular to the line source. A novel approach that reduces the error in t
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23

Shah, Adil, Grant Allen, Joseph R. Pitt, et al. "A Near-Field Gaussian Plume Inversion Flux Quantification Method, Applied to Unmanned Aerial Vehicle Sampling." Atmosphere 10, no. 7 (2019): 396. http://dx.doi.org/10.3390/atmos10070396.

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The accurate quantification of methane emissions from point sources is required to better quantify emissions for sector-specific reporting and inventory validation. An unmanned aerial vehicle (UAV) serves as a platform to sample plumes near to source. This paper describes a near-field Gaussian plume inversion (NGI) flux technique, adapted for downwind sampling of turbulent plumes, by fitting a plume model to measured flux density in three spatial dimensions. The method was refined and tested using sample data acquired from eight UAV flights, which measured a controlled release of methane gas.
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24

Shamsuddin, Shazmeen Daniar, Nurlyana Omar, and Meng Hock Koh. "Development of radionuclide dispersion modeling software based on Gaussian Plume model." MATEMATIKA 33, no. 2 (2017): 149. http://dx.doi.org/10.11113/matematika.v33.n2.1003.

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It has come to attention that Malaysia have been aiming to build its own nuclear power plant (NPP) for electricity generation in 2030 to diversify the national energy supply and resources. As part of the regulation to build a NPP, environmental risk assessment analysis which includes the atmospheric dispersion assessment has to be performed as required by the Malaysian Atomic Energy Licensing Board (AELB) prior to the commissioning process. The assessment is to investigate the dispersion of radioactive effluent from the NPP in the event of nuclear accident. This article will focus on current d
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Liu, Xiong, Ajit Godbole, Cheng Lu, Guillaume Michal, and Philip Venton. "Optimisation of dispersion parameters of Gaussian plume model for CO2 dispersion." Environmental Science and Pollution Research 22, no. 22 (2015): 18288–99. http://dx.doi.org/10.1007/s11356-015-5404-8.

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26

Hosseini, Bamdad, and John M. Stockie. "Bayesian estimation of airborne fugitive emissions using a Gaussian plume model." Atmospheric Environment 141 (September 2016): 122–38. http://dx.doi.org/10.1016/j.atmosenv.2016.06.046.

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27

Sánchez-Sosa, Jorge, Juan Castillo-Mixcóatl, Georgina Beltrán-Pérez, and Severino Muñoz-Aguirre. "An Application of the Gaussian Plume Model to Localization of an Indoor Gas Source with a Mobile Robot." Sensors 18, no. 12 (2018): 4375. http://dx.doi.org/10.3390/s18124375.

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The source localization of gas leaks is important to avoid any potential danger to the surroundings or the probable waste of resources. Currently there are several localization methods using robotic systems that try to find the origin of a gas plume. Many of these methods require wind velocity information involving the use of commercial anemometric systems which are extremely expensive compared to metal oxide gas sensors. This article proposes the validation of the Gaussian plume model inside an empty room and its application to localize the source of a gas plume without employing anemometric
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Petzold, A., J. Hasselbach, P. Lauer, et al. "Experimental studies on particle emissions from cruising ship, their characteristic properties, transformation and atmospheric lifetime in the marine boundary layer." Atmospheric Chemistry and Physics 8, no. 9 (2008): 2387–403. http://dx.doi.org/10.5194/acp-8-2387-2008.

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Abstract. Particle emissions from ship engines and their atmospheric transformation in the marine boundary layer (MBL) were investigated in engine test bed studies and in airborne measurements of expanding ship plumes. During the test rig studies, detailed aerosol microphysical and chemical properties were measured in the exhaust gas of a serial MAN B&W seven-cylinder four-stroke marine diesel engine under various load conditions. The emission studies were complemented by airborne aerosol transformation studies in the plume of a large container ship in the English Channel using the DLR
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Petzold, A., J. Hasselbach, P. Lauer, et al. "Experimental studies on particle emissions from cruising ship, their characteristic properties, transformation and atmospheric lifetime in the marine boundary layer." Atmospheric Chemistry and Physics Discussions 7, no. 5 (2007): 15105–54. http://dx.doi.org/10.5194/acpd-7-15105-2007.

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Abstract. Particle emissions from ship engines and their atmospheric transformation in the marine boundary layer (MBL) were investigated in engine test bed studies and in airborne measurements of expanding ship plumes. During the test rig studies, detailed aerosol microphysical and chemical properties were measured in the exhaust gas of a serial MAN B{&}W seven-cylinder four-stroke marine diesel engine under various load conditions. The emission studies were complemented by airborne aerosol transformation studies in the plume of a large container ship in the English Channel using the D
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30

Riddick, Stuart N., Sarah Connors, Andrew D. Robinson, et al. "Estimating the size of a methane emission point source at different scales: from local to landscape." Atmospheric Chemistry and Physics 17, no. 12 (2017): 7839–51. http://dx.doi.org/10.5194/acp-17-7839-2017.

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Abstract. High methane (CH4) mixing ratios (up to 4 ppm) have occurred sporadically at our measurement site in Haddenham, Cambridgeshire, since July 2012. Isotopic measurements and back trajectories show that the source is the Waterbeach Waste Management Park 7 km SE of Haddenham. To investigate this further, measurements were made on 30 June and 1 July 2015 at other locations nearer to the source. Landfill emissions have been estimated using three different approaches at different scales; near source using the WindTrax inversion dispersion model, middle distance using a Gaussian plume (GP) mo
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31

Shang, Xiao Qin, Yun Yun Li, You Pan, Ru Feng Liu, and Ya Ping Lai. "Modification and Application of Gaussian Plume Model for an Industrial Transfer Park." Advanced Materials Research 785-786 (September 2013): 1384–87. http://dx.doi.org/10.4028/www.scientific.net/amr.785-786.1384.

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Applying diffusion model in gas leakage incident consequences analysis could provide favorable technical support and professional assistant method for accident emergency response with great realistic significance for industrial transfer park. The core of analysis lies in the selection and rational use of diffusion model. GPM for continuous released condition with some foundation hypothesis conditions should be modified in practice. Comprehensive amendment was discussed and implemented in this paper based on actual circumstance situation in order to achieve the objective of higher accurater ana
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Sykes, R. I., W. S. Lewellen, and S. F. Parker. "A Gaussian Plume Model of Atmospheric Dispersion Based on Second-Order Closure." Journal of Climate and Applied Meteorology 25, no. 3 (1986): 322–31. http://dx.doi.org/10.1175/1520-0450(1986)025<0322:agpmoa>2.0.co;2.

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33

Brusca, S., F. Famoso, R. Lanzafame, S. Mauro, A. Marino Cugno Garrano, and P. Monforte. "Theoretical and Experimental Study of Gaussian Plume Model in Small Scale System." Energy Procedia 101 (November 2016): 58–65. http://dx.doi.org/10.1016/j.egypro.2016.11.008.

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Chutia, Rituparna. "Uncertainty quantification under hybrid structure of probability-fuzzy parameters in Gaussian plume model." Life Cycle Reliability and Safety Engineering 6, no. 4 (2017): 277–84. http://dx.doi.org/10.1007/s41872-017-0028-2.

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Şahin, Sümer, and Muhammad Ali. "Emergency Planning Zones Estimation for Karachi-2 and Karachi-3 Nuclear Power Plants using Gaussian Puff Model." Science and Technology of Nuclear Installations 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/8549498.

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Emergency planning zones (PAZ and UPZ) around the Karachi-2 and Karachi-3 nuclear power plants (K-2/K-3 NPPs) have been realistically determined by employing Gaussian puff model and Gaussian plume model together for atmospheric transport, diffusion, and deposition of radioactive material using onsite and regional data related to meteorology, topography, and land-use along with latest IAEA Post-Fukushima Guidelines. The analysis work has been carried out using U.S.NRC computer code RASCAL 4.2. The assumed environmental radioactive releases provide the sound theoretical and practical bases for t
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Belcher, S. E., O. Coceal, E. V. Goulart, A. C. Rudd, and A. G. Robins. "Processes controlling atmospheric dispersion through city centres." Journal of Fluid Mechanics 763 (December 10, 2014): 51–81. http://dx.doi.org/10.1017/jfm.2014.661.

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AbstractWe develop a process-based model for the dispersion of a passive scalar in the turbulent flow around the buildings of a city centre. The street network model is based on dividing the airspace of the streets and intersections into boxes, within which the turbulence renders the air well mixed. Mean flow advection through the network of street and intersection boxes then mediates further lateral dispersion. At the same time turbulent mixing in the vertical detrains scalar from the streets and intersections into the turbulent boundary layer above the buildings. When the geometry is regular
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Zhang, Wei Shuai, and Yun Peng Han. "Analysis of Leakage and Diffusion of Hazardous Chemicals Based on 3D Scene." Advanced Materials Research 716 (July 2013): 482–84. http://dx.doi.org/10.4028/www.scientific.net/amr.716.482.

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The paper bases on maximum allowable concentration (MAC) drawed up by the state, throughs the Gaussian plume model to calculate the spread area of hazardous chemicals, and puts the spread area into 3D scene. Thus, it can providers a visualization decision support tools for the commanding offcers.
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Bogatov, S., and A. Kiselev. "Model “PROLOG” for Countermeasures Efficacy Assessment and its Calculation Algorithm Verification on the Base of the Chazhma Bay Accident Data." International Journal of Information Systems for Crisis Response and Management 5, no. 2 (2013): 60–67. http://dx.doi.org/10.4018/jiscrm.2013040105.

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Methodical approaches are presented that is used in computational model “PROLOG”. This model is intended to assess radiological situation and counter measures efficacy after short term releases. Basic local Gaussian dispersion algorithm is supplemented with modules for plume rise, dry deposition velocities, building and complex terrain influence etc. The modules are intended to provide a compromise between simplicity, shortage of initial data and adequacy of the model in case of real accident. Approaches to dose and countermeasures efficiency assessments are presented as well. Plume rise, comp
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Super, Ingrid, Hugo A. C. Denier van der Gon, Michiel K. van der Molen, Hendrika A. M. Sterk, Arjan Hensen, and Wouter Peters. "A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex." Atmospheric Chemistry and Physics 17, no. 21 (2017): 13297–316. http://dx.doi.org/10.5194/acp-17-13297-2017.

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Abstract. Monitoring urban–industrial emissions is often challenging because observations are scarce and regional atmospheric transport models are too coarse to represent the high spatiotemporal variability in the resulting concentrations. In this paper we apply a new combination of an Eulerian model (Weather Research and Forecast, WRF, with chemistry) and a Gaussian plume model (Operational Priority Substances – OPS). The modelled mixing ratios are compared to observed CO2 and CO mole fractions at four sites along a transect from an urban–industrial complex (Rotterdam, the Netherlands) toward
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40

Cerminara, M., T. Esposti Ongaro, and L. C. Berselli. "ASHEE: a compressible, Equilibrium–Eulerian model for volcanic ash plumes." Geoscientific Model Development Discussions 8, no. 10 (2015): 8895–979. http://dx.doi.org/10.5194/gmdd-8-8895-2015.

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Abstract. A new fluid-dynamic model is developed to numerically simulate the non-equilibrium dynamics of polydisperse gas-particle mixtures forming volcanic plumes. Starting from the three-dimensional N-phase Eulerian transport equations (Neri et al., 2003) for a mixture of gases and solid dispersed particles, we adopt an asymptotic expansion strategy to derive a compressible version of the first-order non-equilibrium model (Ferry and Balachandar, 2001), valid for low concentration regimes (particle volume fraction less than 10−3) and particles Stokes number (St, i.e., the ratio between their
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Krings, Thomas, Bruno Neininger, Konstantin Gerilowski, et al. "Airborne remote sensing and in situ measurements of atmospheric CO<sub>2</sub> to quantify point source emissions." Atmospheric Measurement Techniques 11, no. 2 (2018): 721–39. http://dx.doi.org/10.5194/amt-11-721-2018.

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Abstract. Reliable techniques to infer greenhouse gas emission rates from localised sources require accurate measurement and inversion approaches. In this study airborne remote sensing observations of CO2 by the MAMAP instrument and airborne in situ measurements are used to infer emission estimates of carbon dioxide released from a cluster of coal-fired power plants. The study area is complex due to sources being located in close proximity and overlapping associated carbon dioxide plumes. For the analysis of in situ data, a mass balance approach is described and applied, whereas for the remote
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Di Ronco, Andrea, Francesca Giacobbo, and Antonio Cammi. "A Kalman Filter-Based Approach for Online Source-Term Estimation in Accidental Radioactive Dispersion Events." Sustainability 12, no. 23 (2020): 10003. http://dx.doi.org/10.3390/su122310003.

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In the present work, a online data assimilation approach, based on the Kalman filter algorithm, is proposed for the source term reconstruction in accidental events with dispersion of radioactive agents in air. For this purpose a Gaussian plume model of dispersion in air is embedded in the Kalman filter algorithm to estimate unknown scenario parameters, such as the coordinates and the intensity of the source, on the basis of measurements collected by a mobile sensor. The approach was tested against pseudo-experimental data produced with both the Gaussian plume model and the Lagrangian puff mode
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43

Flaherty, Julia E., Brian Lamb, K. Jerry Allwine, and Eugene Allwine. "Vertical Tracer Concentration Profiles Measured during the Joint Urban 2003 Dispersion Study." Journal of Applied Meteorology and Climatology 46, no. 12 (2007): 2019–37. http://dx.doi.org/10.1175/2006jamc1305.1.

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Abstract An atmospheric tracer dispersion study known as Joint Urban 2003 was conducted in Oklahoma City, Oklahoma, during July of 2003. As part of this field program, vertical concentration profiles were measured at approximately 1 km from the downtown ground-level tracer gas release locations. These profiles showed that the urban landscape was very effective in mixing the plume vertically. In general, the lowest concentration measured along the profile was within 50% of the highest concentration in any given 5-min measurement period. The general slope of the concentration profiles was bounde
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44

Li, Yun Yun, Xiao Qin Shang, and Ru Feng Liu. "GIS-Based Emergency Management System for Chemical Industry Park." Advanced Materials Research 550-553 (July 2012): 2941–44. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.2941.

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The chemical industrial park’s quick development has brought out many security and environment problem. For the common leakage accidents, it is urgently needed to build emergency response decision support system. The analysis of the accident is the crucial part of the system, in this paper the method of integrating GIS with diffusion model was used to simulate the three-dimensional diffusion process and predict the impact scope of the accident. The Pasquill-Gifford model and Gaussian diffusion model was introduced; Gaussian plume model was applied through the example to illustrate the method.
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45

Cerminara, M., T. Esposti Ongaro, and L. C. Berselli. "ASHEE-1.0: a compressible, equilibrium–Eulerian model for volcanic ash plumes." Geoscientific Model Development 9, no. 2 (2016): 697–730. http://dx.doi.org/10.5194/gmd-9-697-2016.

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Abstract. A new fluid-dynamic model is developed to numerically simulate the non-equilibrium dynamics of polydisperse gas–particle mixtures forming volcanic plumes. Starting from the three-dimensional N-phase Eulerian transport equations for a mixture of gases and solid dispersed particles, we adopt an asymptotic expansion strategy to derive a compressible version of the first-order non-equilibrium model, valid for low-concentration regimes (particle volume fraction less than 10−3) and particle Stokes number (St – i.e., the ratio between relaxation time and flow characteristic time) not exceed
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46

Abdel-Wahab, Mohamed M., Khaled S. M. Essa, Mokhtar Embaby, and Sawsan E. M. Elsaid. "Derivation the Schemes of Lateral and Vertical Dispersion Parameters: Application in Gaussian Plume Model." Open Journal of Air Pollution 02, no. 01 (2013): 19–24. http://dx.doi.org/10.4236/ojap.2013.21003.

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47

Tirabassi, T., M. Tagliazucca, and P. Zannetti. "KAPPA-G, A Non-Gaussian Plume Dispersion Model: Description and Evaluation Against Tracer Measurements." Journal of the Air Pollution Control Association 36, no. 5 (1986): 592–96. http://dx.doi.org/10.1080/00022470.1986.10466095.

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48

Ye, Weilin, Bo Zhou, Zihan Tu, et al. "Leakage source location based on Gaussian plume diffusion model using a near-infrared sensor." Infrared Physics & Technology 109 (September 2020): 103411. http://dx.doi.org/10.1016/j.infrared.2020.103411.

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49

Qin, Cuihong, Wei Zhang, and Zheng Wang. "Research on the Diffusion of Harmful Gases from Ships Based on Gaussian Plume Model." IOP Conference Series: Earth and Environmental Science 781, no. 3 (2021): 032034. http://dx.doi.org/10.1088/1755-1315/781/3/032034.

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50

Unterstrasser, S., R. Paoli, I. Sölch, C. Kühnlein, and T. Gerz. "Dimension of aircraft exhaust plumes at cruise conditions: effect of wake vortices." Atmospheric Chemistry and Physics Discussions 13, no. 11 (2013): 30039–96. http://dx.doi.org/10.5194/acpd-13-30039-2013.

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Abstract. The dispersion of aircraft emissions during the vortex phase is studied, for the first time using a 3-D LES model with Lagrangian particle tracking. The simulations start with a fully rolled-up vortex pair of a type B747/A340 airplane and the tracer centred around the vortex cores. The tracer dilution and plume extent is studied for a variety of ambient and aircraft parameters until aircraft-induced effects have deceased. For typical upper tropospheric conditions, the impact of stratification is more dominant compared to turbulence intensity or vertical wind shear. Moreover, the sens
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