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Journal articles on the topic 'Plume dispersion model'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Kylling, Arve, Hamidreza Ardeshiri, Massimo Cassiani, et al. "Can statistics of turbulent tracer dispersion be inferred from camera observations of SO<sub>2</sub> in the ultraviolet? A modelling study." Atmospheric Measurement Techniques 13, no. 6 (2020): 3303–18. http://dx.doi.org/10.5194/amt-13-3303-2020.

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Abstract. Atmospheric turbulence and in particular its effect on tracer dispersion may be measured by cameras sensitive to the absorption of ultraviolet (UV) sunlight by sulfur dioxide (SO2), a gas that can be considered a passive tracer over short transport distances. We present a method to simulate UV camera measurements of SO2 with a 3D Monte Carlo radiative transfer model which takes input from a large eddy simulation (LES) of a SO2 plume released from a point source. From the simulated images the apparent absorbance and various plume density statistics (centre-line position, meandering, a

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Meir, Talmor, Julie Pullen, Alan F. Blumberg, Teddy R. Holt, Paul E. Bieringer, and George Bieberbach. "Simulation of Airborne Transport and Dispersion for Urban Waterside Releases." Journal of Applied Meteorology and Climatology 56, no. 1 (2017): 27–44. http://dx.doi.org/10.1175/jamc-d-16-0025.1.

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AbstractResults are presented from a tracer-release modeling study designed to examine atmospheric transport and dispersion (“T&D”) behavior surrounding the complex coastal–urban region of New York City, New York, where air–sea interaction and urban influences are prominent. The puff-based Hazard Prediction Assessment Capability (HPAC, version 5) model is run for idealized conditions, and it is also linked with the urbanized COAMPS (1 km) meteorological model and the NAM (12 km) meteorological model. Results are compared with “control” plumes utilizing surface meteorological input from 22

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Bisignano, Andrea, Luca Mortarini, Enrico Ferrero, and Stefano Alessandrini. "Model chain for buoyant plume dispersion." International Journal of Environment and Pollution 62, no. 2/3/4 (2017): 200. http://dx.doi.org/10.1504/ijep.2017.089406.

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Ferrero, Enrico, Luca Mortarini, Andrea Bisignano, and Stefano Alessandrini. "Model chain for buoyant plume dispersion." International Journal of Environment and Pollution 62, no. 2/3/4 (2017): 200. http://dx.doi.org/10.1504/ijep.2017.10010374.

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5

Chosson, F., R. Paoli, and B. Cuenot. "Ship plume dispersion rates in convective boundary layers for chemistry models." Atmospheric Chemistry and Physics 8, no. 16 (2008): 4841–53. http://dx.doi.org/10.5194/acp-8-4841-2008.

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Abstract. Detailed ship plume simulations in various convective boundary layer situations have been performed using a Lagrangian Dispersion Model driven by a Large Eddy Simulation Model. The simulations focus on the early stage (1–2 h) of plume dispersion regime and take into account the effects of plume rise on dispersion. Results are presented in an attempt to provide to atmospheric chemistry modellers a realistic description of characteristic dispersion impact on exhaust ship plume chemistry. Plume dispersion simulations are used to derive analytical dilution rate functions. Even though res

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Chosson, F., R. Paoli, and B. Cuenot. "Ship plume dispersion rates in convective boundary layers for chemistry models." Atmospheric Chemistry and Physics Discussions 8, no. 2 (2008): 6793–824. http://dx.doi.org/10.5194/acpd-8-6793-2008.

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Abstract. Detailed ship plume simulations in various convective boundary layer situations have been performed using a Lagrangian Dispersion Model driven by a Large Eddy Simulation Model. The simulations focus on early stage (1–2 h) of plume dispersion regime and take into account the effects of plume rise on dispersion. Results are presented in an attempt to provide to chemical modellers community a realistic description of the impact of characteristic dispersion on exhaust ship plume chemistry. Plume dispersion simulations are used to derive analytical dilution rate functions. Even though res

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7

Kukkonen, J., J. Nikmo, M. Sofiev, et al. "Applicability of an integrated plume rise model for the dispersion from wild-land fires." Geoscientific Model Development Discussions 7, no. 1 (2014): 483–527. http://dx.doi.org/10.5194/gmdd-7-483-2014.

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Abstract. We have presented an overview of a mathematical model, BUOYANT, that was originally designed for the evaluation of the dispersion of buoyant plumes originated from major warehouse fires. The model addresses the variations of the cross-plume integrated properties of a buoyant plume in the presence of a vertically varying atmosphere. The model also includes a treatment for a rising buoyant plume interacting with an inversion layer. We have compared the model predictions with the data of two prescribed wild-land fire experiments. For the SCAR-C experiment in Quinault (US) in 1994, the p

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Kukkonen, J., J. Nikmo, M. Sofiev, et al. "Applicability of an integrated plume rise model for the dispersion from wild-land fires." Geoscientific Model Development 7, no. 6 (2014): 2663–81. http://dx.doi.org/10.5194/gmd-7-2663-2014.

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Abstract. We have presented an overview of a mathematical model, BUOYANT, that was originally designed for the evaluation of the dispersion of buoyant plumes originated from major warehouse fires. The model addresses the variations of the cross-plume integrated properties of a buoyant plume in the presence of a vertically varying atmosphere. The model also includes a treatment for a rising buoyant plume interacting with an inversion layer. We have compared the model predictions with the data of two prescribed wild-land fire experiments. For the SCAR-C experiment in Quinault (US) in 1994, the p

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9

Fay, James A., and Stephen G. Zemba. "Integral model of dense gas plume dispersion." Atmospheric Environment (1967) 20, no. 7 (1986): 1347–54. http://dx.doi.org/10.1016/0004-6981(86)90005-3.

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10

Lott, Robert A. "Model performance—Plume dispersion over elevated terrain." Atmospheric Environment (1967) 20, no. 8 (1986): 1547–54. http://dx.doi.org/10.1016/0004-6981(86)90243-x.

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11

Sivanandan, Hrishikesh, V. Ratna Kishore, Mukesh Goel, and Abhishek Asthana. "A Study on Plume Dispersion Characteristics of Two Discrete Plume Stacks for Negative Temperature Gradient Conditions." Environmental Modeling & Assessment 26, no. 3 (2021): 405–22. http://dx.doi.org/10.1007/s10666-020-09747-1.

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AbstractThe dispersion of air pollutants emitted from industries has been studied ever since the dawn of industrialisation. The present work focuses on investigating the effect of negative atmospheric temperature gradient and the plume stack orientation of two individual equal-height stacks on the vertical rise and dispersion of the plume. The study carried out upon three-stack layout configurations namely inline, 45° and non-inline, separated by an inter-stack distance of 12 times the exit chimney diameter (12 D) and 22 times the exit chimney diameter (22 D) in each case over the two temperat

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Lonsdale, Chantelle R., Matthew J. Alvarado, Anna L. Hodshire, Emily Ramnarine, and Jeffrey R. Pierce. "Simulating the forest fire plume dispersion, chemistry, and aerosol formation using SAM-ASP version 1.0." Geoscientific Model Development 13, no. 9 (2020): 4579–93. http://dx.doi.org/10.5194/gmd-13-4579-2020.

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Abstract. Biomass burning is a major source of trace gases and aerosols that can ultimately impact health, air quality, and climate. Global and regional-scale three-dimensional Eulerian chemical transport models (CTMs) use estimates of the primary emissions from fires and can unphysically mix them across large-scale grid boxes, leading to incorrect estimates of the impact of biomass burning events. On the other hand, plume-scale process models allow for explicit simulation and examination of the chemical and physical transformations of trace gases and aerosols within biomass burning smoke plum

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13

King, B. A., and F. A. McAllister. "MODELLING THE DISPERSION OF PRODUCED WATER DISCHARGES." APPEA Journal 38, no. 1 (1998): 681. http://dx.doi.org/10.1071/aj97044.

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The ability of two state-of-the-art dispersion models (MUDMAP and the OOC model) to predict the fate of produced formation water (PFW) discharged by offshore petroleum platforms was examined. This was achieved by comparing model predictions with measurements made in the field. The models predicted peak concentrations of tracer PFW constituents (benzene and toluene) to typically within a factor of 2 and location to within 200 metres of the field observations. The models showed that water currents actively transport PFW plumes. Therefore, plume position is largely governed by local tide and wind

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14

Du Preez, David Jean, Hassan Bencherif, Nelson Bègue, Lieven Clarisse, Rebecca F. Hoffman, and Caradee Yael Wright. "Investigating the Large-Scale Transport of a Volcanic Plume and the Impact on a Secondary Site." Atmosphere 11, no. 5 (2020): 548. http://dx.doi.org/10.3390/atmos11050548.

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Volcanic plumes can be transported across vast distances and can have an impact on solar ultraviolet radiation (UVR) reaching the surface due to the scattering and absorption caused by aerosols. The dispersion of the volcanic plume from the Puyehue-Cordón Caulle volcanic complex (PCCVC) eruption was investigated to determine the effect on aerosol loading at Cape Point, South Africa. The eruption occurred on 4 June 2011 and resulted in a plume reaching a height of between 9 and 12 km and was dispersed across the Southern Hemisphere. Satellite sulphur dioxide (SO2) observations and a dispersion

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15

Onodera, Naoyuki, Yasuhiro Idomura, Yuta Hasegawa, Hiromasa Nakayama, Takashi Shimokawabe, and Takayuki Aoki. "Real-Time Tracer Dispersion Simulations in Oklahoma City Using the Locally Mesh-Refined Lattice Boltzmann Method." Boundary-Layer Meteorology 179, no. 2 (2021): 187–208. http://dx.doi.org/10.1007/s10546-020-00594-x.

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AbstractWe present ensemble-based large-eddy simulations based on a lattice Boltzmann method for a realistic urban area. A plume-dispersion model enables a real-time simulation over several kilometres by applying a local mesh-refinement method. We assess plume-dispersion problems in the complex urban environment of Oklahoma City on 16 July using realistic mesoscale velocity boundary conditions produced by the Weather Research and Forecasting model, as well as building structures and a plant-canopy model introduced into the plume-dispersion model. Ensemble calculations are performed to reduce u

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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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17

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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18

Vernon, Charles J., Ryan Bolt, Timothy Canty, and Ralph A. Kahn. "The impact of MISR-derived injection height initialization on wildfire and volcanic plume dispersion in the HYSPLIT model." Atmospheric Measurement Techniques 11, no. 11 (2018): 6289–307. http://dx.doi.org/10.5194/amt-11-6289-2018.

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Abstract. The dispersion of particles from wildfires, volcanic eruptions, dust storms, and other aerosol sources can affect many environmental factors downwind, including air quality. Aerosol injection height is one source attribute that mediates downwind dispersion, as wind speed and direction can vary dramatically with elevation. Using plume heights derived from space-based, multi-angle imaging, we examine the impact of initializing plumes in the NOAA Air Resources Laboratory's Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model with satellite-measured vs. nominal (model-

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19

Lajeunesse, Eric, Olivier Devauchelle, and François James. "Advection and dispersion of bed load tracers." Earth Surface Dynamics 6, no. 2 (2018): 389–99. http://dx.doi.org/10.5194/esurf-6-389-2018.

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Abstract. We use the erosion–deposition model introduced by Charru et al. (2004) to numerically simulate the evolution of a plume of bed load tracers entrained by a steady flow. In this model, the propagation of the plume results from the stochastic exchange of particles between the bed and the bed load layer. We find a transition between two asymptotic regimes. The tracers, initially at rest, are gradually set into motion by the flow. During this entrainment regime, the plume is strongly skewed in the direction of propagation and continuously accelerates while spreading nonlinearly. With time

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20

Guo, Rui Ping, Chun Lin Yang, and Chun Ming Zhang. "The Effect of Wind Speed on Cooling Tower Plume Dispersion." Advanced Materials Research 732-733 (August 2013): 144–47. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.144.

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Wind speed was an important impact factor when simulating the cooling tower plume dispersion. The SACTI model was selected in this paper and this model was used to predict the plume dispersion character discharging from cooling tower under normal operation and three different kinds of wind speeds. The three kinds of wind speeds were 2 m/s, 4 m/s and 6 m/s and it was analyzed that the plume character under these three wind speeds. Results showed that the plume length, plume height and plume radius will present different change trend when wind speed changed.

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21

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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22

Hanna, Steven R., and Robert J. Paine. "Hybrid Plume Dispersion Model (HPDM) Development and Evaluation." Journal of Applied Meteorology 28, no. 3 (1989): 206–24. http://dx.doi.org/10.1175/1520-0450(1989)028<0206:hpdmda>2.0.co;2.

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23

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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24

Marta-Almeida, Martinho, Anna Dalbosco, David Franco, and Manuel Ruiz-Villarreal. "Dynamics of river plumes in the South Brazilian Bight and South Brazil." Ocean Dynamics 71, no. 1 (2020): 59–80. http://dx.doi.org/10.1007/s10236-020-01397-x.

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AbstractThe plumes from the rivers of the South Brazilian Bight (SBB) and South Brazil (SB) were studied using a realistic model configuration. River plume variability on continental shelves is driven by the input of river runoff into the shelf, by wind variability, and also by ambient currents and its seasonal variability, especially the Brazil Current, which are realistically modelled in this study. It is presented a simulation of 4 years using a nested configuration, which allows resolving the region around Florianópolis with very high resolution (∼150 m). The dispersion of river plumes was

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Mallia, Derek V., Adam K. Kochanski, Shawn P. Urbanski, Jan Mandel, Angel Farguell, and Steven K. Krueger. "Incorporating a Canopy Parameterization within a Coupled Fire-Atmosphere Model to Improve a Smoke Simulation for a Prescribed Burn." Atmosphere 11, no. 8 (2020): 832. http://dx.doi.org/10.3390/atmos11080832.

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Forecasting fire growth, plume rise and smoke impacts on air quality remains a challenging task. Wildland fires dynamically interact with the atmosphere, which can impact fire behavior, plume rises, and smoke dispersion. For understory fires, the fire propagation is driven by winds attenuated by the forest canopy. However, most numerical weather prediction models providing meteorological forcing for fire models are unable to resolve canopy winds. In this study, an improved canopy model parameterization was implemented within a coupled fire-atmosphere model (WRF-SFIRE) to simulate a prescribed

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Guo, Rui Ping, Chun Lin Yang, Chun Ming Zhang, and Bing Lan. "Impact of Relative Humidity on Cooling Tower Plume Dispersion." Advanced Materials Research 807-809 (September 2013): 168–71. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.168.

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The SACTI model (Seasonal Annual Cooling Tower Impact) as the environmental impact assessment of cooling tower was applied in this paper, which was used to simulate the plume characters under different kinds of relative humidity. The three kinds of relative humidity were 70%, 80% and 90% and it was analyzed that the plume character under these three kinds of relative humidity. Results showed that the plume length, plume height and plume radius will present different change trend when relative humidity changed. Additionally, the plume dispersion character in different seasons presented obviousl

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Aliabadi, Amir A., Jennie L. Thomas, Andreas B. Herber, et al. "Ship emissions measurement in the Arctic by plume intercepts of the Canadian Coast Guard icebreaker <i>Amundsen</i> from the <i>Polar 6</i> aircraft platform." Atmospheric Chemistry and Physics 16, no. 12 (2016): 7899–916. http://dx.doi.org/10.5194/acp-16-7899-2016.

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Abstract. Decreasing sea ice and increasing marine navigability in northern latitudes have changed Arctic ship traffic patterns in recent years and are predicted to increase annual ship traffic in the Arctic in the future. Development of effective regulations to manage environmental impacts of shipping requires an understanding of ship emissions and atmospheric processing in the Arctic environment. As part of the summer 2014 NETCARE (Network on Climate and Aerosols) campaign, the plume dispersion and gas and particle emission factors of effluents originating from the Canadian Coast Guard icebr

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Burton, Ralph R., Mark J. Woodhouse, Alan M. Gadian, and Stephen D. Mobbs. "The Use of a Numerical Weather Prediction Model to Simulate Near-Field Volcanic Plumes." Atmosphere 11, no. 6 (2020): 594. http://dx.doi.org/10.3390/atmos11060594.

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In this paper, a state-of the art numerical weather prediction (NWP) model is used to simulate the near-field plume of a Plinian-type volcanic eruption. The NWP model is run at very high resolution (of the order of 100 m) and includes a representation of physical processes, including turbulence and buoyancy, that are essential components of eruption column dynamics. Results are shown that illustrate buoyant gas plume dynamics in an atmosphere at rest and in an atmosphere with background wind, and we show that these results agree well with those from theoretical models in the quiescent atmosphe

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Guo, Rui Ping, Chun Lin Yang, and Chun Ming Zhang. "Response Analysis of Cooling Tower Plume Dispersion to the Release Height." Applied Mechanics and Materials 316-317 (April 2013): 590–93. http://dx.doi.org/10.4028/www.scientific.net/amm.316-317.590.

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The SACTI model (Seasonal Annual Cooling Tower Impact) as the environmental impact assessment of cooling tower was applied in this paper, which was used to simulate the plume characters under different cooling tower heights. The results showed that the plume length, plume height and plume radius presented noticeable differences with variances of different distances and wind directions under different cooling tower heights. The comparisons of differences of plume characters indicated that the relative change of plume length frequency displayed obvious decreased trend with increased distance whe

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Nikmo, Juha, Juha-Pekka Tuovinen, Jaakko Kukkonen, and Ilkka Valkama. "A hybrid plume model for local-scale atmospheric dispersion." Atmospheric Environment 33, no. 27 (1999): 4389–99. http://dx.doi.org/10.1016/s1352-2310(99)00223-x.

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Awasthi, Seema, Mukesh Khare, and Prashant Gargava. "General plume dispersion model (GPDM) for point source emission." Environmental Modeling & Assessment 11, no. 3 (2006): 267–76. http://dx.doi.org/10.1007/s10666-006-9041-y.

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Lee, Jared A., L. Joel Peltier, Sue Ellen Haupt, John C. Wyngaard, David R. Stauffer, and Aijun Deng. "Improving SCIPUFF Dispersion Forecasts with NWP Ensembles." Journal of Applied Meteorology and Climatology 48, no. 11 (2009): 2305–19. http://dx.doi.org/10.1175/2009jamc2171.1.

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Abstract The relationships between atmospheric transport and dispersion (AT&D) plume uncertainty and uncertainties in the transporting wind fields are investigated using the Second-Order Closure, Integrated Puff (SCIPUFF) AT&D model driven by numerical weather prediction (NWP) meteorological fields. Modeled contaminant concentrations for episode 1 of the 1983 Cross-Appalachian Tracer Experiment (CAPTEX-83) are compared with recorded ground-level concentrations of the inert tracer gas C7F14. This study evaluates a Taylor-diffusion-based parameterization of dispersion uncertainty for SCI

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Sofiev, M., T. Ermakova, and R. Vankevich. "Evaluation of the smoke-injection height from wild-land fires using remote-sensing data." Atmospheric Chemistry and Physics 12, no. 4 (2012): 1995–2006. http://dx.doi.org/10.5194/acp-12-1995-2012.

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Abstract. A new methodology for the estimation of smoke-injection height from wild-land fires is proposed and evaluated. It is demonstrated that the approaches developed for estimating the plume rise from stacks, such as the formulas of G. Briggs, can be formally written in terms characterising the wild-land fires: fire energy, size and temperature. However, these semi-empirical methods still perform quite poorly because the physical processes controlling the uplift of the wildfire plumes differ from those controlling the plume rise from stacks. The proposed new methodology considers wildfire

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Wobus, F., G. I. Shapiro, J. M. Huthnance, M. A. M. Maqueda, and Y. Aksenov. "Tidally induced lateral dispersion of the Storfjorden overflow plume." Ocean Science 9, no. 5 (2013): 885–99. http://dx.doi.org/10.5194/os-9-885-2013.

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Abstract. We investigate the flow of brine-enriched shelf water from Storfjorden (Svalbard) into Fram Strait and onto the western Svalbard Shelf using a regional set-up of NEMO-SHELF, a 3-D numerical ocean circulation model. The model is set up with realistic bathymetry, atmospheric forcing, open boundary conditions and tides. The model has 3 km horizontal resolution and 50 vertical levels in the sh-coordinate system which is specially designed to resolve bottom boundary layer processes. In a series of modelling experiments we focus on the influence of tides on the propagation of the dense wat

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Wobus, F., G. I. Shapiro, J. M. Huthnance, M. A. M. Maqueda, and Y. Aksenov. "Tidally-induced lateral dispersion of the Storfjorden overflow plume." Ocean Science Discussions 10, no. 2 (2013): 691–726. http://dx.doi.org/10.5194/osd-10-691-2013.

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Abstract. We investigate the flow of brine-enriched shelf water from Storfjorden (Svalbard) into Fram Strait and onto the Western Svalbard Shelf using a regional setup of NEMO-SHELF, a 3-D numerical ocean circulation model. The model is set up with realistic bathymetry, atmospheric forcing, open boundary conditions and tides. The model has 3 km horizontal resolution and 50 vertical levels in the sh-coordinate system which is specially designed to resolve bottom boundary layer processes. In a series of modelling experiments we focus on the influence of tides on the propagation of the dense wate

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Draxler, Roland R. "The Use of Global and Mesoscale Meteorological Model Data to Predict the Transport and Dispersion of Tracer Plumes over Washington, D.C." Weather and Forecasting 21, no. 3 (2006): 383–94. http://dx.doi.org/10.1175/waf926.1.

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Abstract The data from a yearlong tracer dispersion experiment over Washington, D.C., in 1984 were used to evaluate Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) dispersion model calculations using coarse global meteorological reanalysis data [NCEP–NCAR and 40-Yr ECMWF Re-Analysis (ERA-40)] and calculations using meteorological data fields created by running a high-resolution meteorological model [fifth-generation Pennsylvania State University–NCAR Mesoscale Model (MM5)]. None of the meteorological models were optimized for urban environments. The dispersion calculation usi

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Henderson-Sellers, B., and S. E. Allen. "Verification of the plume rise/dispersion model USPR: plume rise for single stack emissions." Ecological Modelling 30, no. 3-4 (1985): 209–27. http://dx.doi.org/10.1016/0304-3800(85)90068-7.

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Muller, J. P., V. Yershov, D. Fisher, et al. "New products for a better characterisation of smoke plume and gas/aerosol dispersion from boreal eurasian forest fires: the ALANIS Smoke Plume project." Biogeosciences Discussions 8, no. 5 (2011): 9747–61. http://dx.doi.org/10.5194/bgd-8-9747-2011.

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Abstract. The ALANIS (Atmosphere-LANd Integrated Study) Smoke Plume project is an on-going study funded by the ESA's Support to Science Element (STSE) dedicated to the monitoring of the fire aerosol and trace gases dispersion over Eurasia from multi-mission EO-based data, in link with the scientific issues of land-atmosphere processes in the iLEAPS community. The injection and dispersion of the smoke plumes are performed with the TM5 model from several new products (burnt areas and forest fire emissions amounts, smoke plumes injection heights) derived from the MERIS and AATSR products and from

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Guo, Rui Ping, Chun Lin Yang, Bing Lan, and Chun Ming Zhang. "Effect of Different Heat Rejection Scenarios on Cooling Tower Plume Dispersion." Applied Mechanics and Materials 448-453 (October 2013): 213–16. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.213.

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This impact of heat rejection on cooling tower plume dispersion was studied in this paper by applied SACTI (Seasonal Annual Cooling Tower Impact) model. In order to analyze the impact of heat rejection (HR), we set five scenarios including observed, HR decrease 5% (HR-5) and 10% (HR-10), and increase 5% (HR+5) and 10% (HR+10). Results showed that plume length frequency, plume height frequency and plume radius frequency will present different variation trend when heat rejection increase and decrease scenarios. On the whole, the plume character parameter will decrease as heat rejection decrease,

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ICHIKAWA, Yoichi, Yukio AKAI, and Koichi SADA. "Prediction of Atmospheric Dispersion Considering Plume Rise Using a Lagrangian Particle Dispersion Model." Doboku Gakkai Ronbunshu, no. 643 (2000): 61–70. http://dx.doi.org/10.2208/jscej.2000.643_61.

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Moisseeva, Nadya, and Roland Stull. "Capturing Plume Rise and Dispersion with a Coupled Large-Eddy Simulation: Case Study of a Prescribed Burn." Atmosphere 10, no. 10 (2019): 579. http://dx.doi.org/10.3390/atmos10100579.

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Current understanding of the buoyant rise and subsequent dispersion of smoke due to wildfires has been limited by the complexity of interactions between fire behavior and atmospheric conditions, as well as the uncertainty in model evaluation data. To assess the feasibility of using numerical models to address this knowledge gap, we designed a large-eddy simulation of a real-life prescribed burn using a coupled semi-emperical fire–atmosphere model. We used observational data to evaluate the simulated smoke plume, as well as to identify sources of model biases. The results suggest that the rise

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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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Cao, Zhixuan, Abani Patra, Marcus Bursik, E. Bruce Pitman, and Matthew Jones. "Plume-SPH 1.0: a three-dimensional, dusty-gas volcanic plume model based on smoothed particle hydrodynamics." Geoscientific Model Development 11, no. 7 (2018): 2691–715. http://dx.doi.org/10.5194/gmd-11-2691-2018.

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Abstract. Plume-SPH provides the first particle-based simulation of volcanic plumes. Smoothed particle hydrodynamics (SPH) has several advantages over currently used mesh-based methods in modeling of multiphase free boundary flows like volcanic plumes. This tool will provide more accurate eruption source terms to users of volcanic ash transport and dispersion models (VATDs), greatly improving volcanic ash forecasts. The accuracy of these terms is crucial for forecasts from VATDs, and the 3-D SPH model presented here will provide better numerical accuracy. As an initial effort to exploit the fe

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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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Lajeunesse, E., O. Devauchelle, M. Houssais, and G. Seizilles. "Tracer dispersion in bedload transport." Advances in Geosciences 37 (December 17, 2013): 1–6. http://dx.doi.org/10.5194/adgeo-37-1-2013.

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Abstract. Bedload particles entrained by rivers tends to disperse as they move downstream. In this paper, we use the erosion-deposition model of Charru et al. (2004) to describe the velocity and the spreading of a plume of tracer particles. We restrict our analysis to steady-state transport above a flat bed of uniform sediment. The transport of tracer particles is then controlled by downstream advection and particle exchange with the immobile bed. After a transitional regime dominated by initial conditions, the evolution of a plume of markers tends asymptotically towards classical advection-di

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Nakayama, Hiromasa, Tetsuya Takemi, and Toshiya Yoshida. "Large-Eddy Simulation of Plume Dispersion in the Central District of Oklahoma City by Coupling with a Mesoscale Meteorological Simulation Model and Observation." Atmosphere 12, no. 7 (2021): 889. http://dx.doi.org/10.3390/atmos12070889.

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Contaminant gas dispersion within an urban area resulting from accidental or intentional release is of great concern to public health and social security. When estimating plume dispersion in a built-up urban area under real meteorological conditions by computational fluid dynamics (CFD), a crucial issue is how to prescribe the input conditions. There are typically two approaches: using the outputs of a mesoscale meteorological simulation (MMS) model and meteorological observations (OBS). However, the influences of the different approaches on the simulation results have not been fully demonstra

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Dupont, R., B. Pierce, J. Worden, et al. "Attribution and evolution of ozone from Asian wild fires using satellite and aircraft measurements during the ARCTAS campaign." Atmospheric Chemistry and Physics 12, no. 1 (2012): 169–88. http://dx.doi.org/10.5194/acp-12-169-2012.

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Abstract. We use ozone and carbon monoxide measurements from the Tropospheric Emission Spectrometer (TES), model estimates of Ozone, CO, and ozone pre-cursors from the Real-time Air Quality Modeling System (RAQMS), and data from the NASA DC8 aircraft to characterize the source and dynamical evolution of ozone and CO in Asian wildfire plumes during the spring ARCTAS campaign 2008. On the 19 April, NASA DC8 O3 and aerosol Differential Absorption Lidar (DIAL) observed two biomass burning plumes originating from North-Western Asia (Kazakhstan) and South-Eastern Asia (Thailand) that advected eastwa

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Wicks, P. J. "Interaction of buoyant plumes in open-channel flow." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 33, no. 4 (1992): 451–73. http://dx.doi.org/10.1017/s0334270000007165.

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AbstractIn this paper, a model for lateral dispersion in open-channel flow is studied involving a diffusion equation which has a nonlinear term describing the effect of buoyancy. The model is used to investigate the interaction of two buoyant pollutant plumes. An approximate analytic technique involving Hermite polynomials is applied to the resulting PDEs to reduce them to a system of ODEs for the centroids and widths of the two plumes. The ODEs are then solved numerically. A rich variety of behaviour occurs depending on the relative positions, widths and strengths of the initial discharges. I

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Kim, Hyun Soo, Mee Kyung Lee, Hyun Jung Cho, and Chul Han Song. "Development of a reactive puff model for simultaneous consideration of plume dispersion and plume chemistry." Korean Journal of Chemical Engineering 25, no. 6 (2008): 1362–71. http://dx.doi.org/10.1007/s11814-008-0224-x.

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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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