plume modeling Articles

  • Characterising uncertainty in plume dispersion models

    For management decisions related to effects of releases of toxic chemicals, it is useful to consider not only the expected or most likely impact of the release, but also the envelope of possible outcomes, the latter of which involves an assessment of the uncertainty in the modelling results. In this paper, we provide quantitative estimates of major sources of uncertainty in plume dispersion ...


    By Inderscience Publishers

  • Gaussian plume modeling of contaminant transport

    A technique for modeling contaminant transport based on Markov process theory is developed. Transport is quantified by summing the first two moments of independent random displacements and applying the central limit theorem (CLT) to obtain solute distributions of a Gaussian nature. For non-uniform flow fields the CLT is applied in a streamfunction/equitravel time space and transforms are used to ...


    By Springer

  • A simple and practical model for reactive plumes

    Pollutants emitted from industrial stacks can be transformed by chemical reactions. An interesting case is the NO to NO2 conversion due to reactions with the ambient ozone. A simple and practical model has been developed to calculate this conversion in the vicinity of the source. Spatial distributions of the reactive species concentrations in the plume are represented by generalised ...


    By Inderscience Publishers

  • Theory, Modeling, and Measurements of Gas Plumes

    Abstract Spectroscopic measurements of infrared CO2 transitions in gas plumes are reported, and evaluated for their potential to yield a reliable remote sensing technique for determination of plume temperature. Measurements were made on two types of plumes: a sideways-directed plume from a vehicle exhaust, and a stack plume from a propane-burning portable plume generator. Modeling of CO2 ...


    By D&P Instruments

  • A fluctuating plume model for pollutants dispersion with chemical reactions

    A fluctuating plume model for pollutant dispersion is developed. The model is able to include chemical reactions, accounting for segregation. The model is tested against measured data in wind tunnel experiment, where NO is emitted from a source in an environment of ozone. The results are presented in terms of the plume centre line dispersion and cross sections at different distances. It is shown ...


    By Inderscience Publishers

  • Comparison of the inherent data error in plume rise models

    Differences between Gaussian model results and observations depend highly on the individual data errors of the parameters considered in the model. For example, errors in the estimated plume rise can be partly explained by the semi-empirical character of its estimation procedures. Nevertheless, inherent data errors keep being important. A mathematical estimate of the expected plume rise error due ...


    By Inderscience Publishers

  • Plume dispersion in the wake of a rectangular model building

    A field experiment was specifically designed and conducted to investigate the width of the near-wake recirculation region of a wide and slender model building. Tracer gas was released from the centre of the leeward side of the building. The results suggested that the width of the wake ranged between 0.6 and 1.1 W in the case of the wind normal to the short side and between 0.5 and 0.9 W in the ...


    By Inderscience Publishers

  • The plume model MODIS: integration in the Hydro-Quebec shell

    The comprehensive numerical model MODIS for the simulation of pollutant dispersion from a point source is integrated in the graphical shell of Hydro-Quebec. The shell has been developed by Hydro-Quebec to offer a valuable scheme for various applications of software products, which were originally conceived only for scientific purposes. MODIS, developed by the GKSS Research Centre Geesthacht and ...


    By Inderscience Publishers

  • Using plume rise schemes to model highly buoyant plumes from large fires

    The atmospheric dispersion model Numerical Atmospheric-dispersion Modelling Environment (NAME) is used to simulate the smoke plume from the explosion at the Buncefield oil depot. Simple modelling, in which the plume rise is included through an effective elevated source term, captures the transport and spread of the plume well. More complex modelling, using the NAME plume rise scheme, ...


    By Inderscience Publishers

  • On formulating equations for plume spreads for near-surface releases

    Recent concerns about effects of automobile emissions on the health of people living close to roads have motivated an examination of models to estimate dispersion in the surface boundary layer. This examination led to new formulations for horizontal and vertical plume spread described in Venkatram et al. (2013). Concentration estimates based on the proposed plume spread equations compare well ...


    By Inderscience Publishers

  • Accounting for effects of wind rotation in the PBL on the plume characteristics

    The present work aims at demonstrating the influence of a number of dynamic effects in the PBL on the pollution concentration from a point source. The diffusion plume model applied in the study is based on the moment method. Limited number of numerical simulations, based on a more general model of a non-stationary, stratified, baroclinic PBL over a sloping terrain are carried out. The results are ...


    By Inderscience Publishers

  • About the plume rise description in the dispersion code SAFE_AIR

    SAFE_AIR is a code simulating the transport and diffusion of airborne pollutants. This code is based on the advection of Gaussian segments and puffs driven by a 3-D wind field produced by a diagnostic model, able to deal with both non-stationary and inhomogeneous conditions. SAFE_AIR is an evolution of the AVACTA II code, "recommended" by the US EPA (United States Environmental ...


    By Inderscience Publishers

  • Model comparison in simulating the atmospheric dispersion of a pollutant plume in low wind conditions

    This study investigates the performance of different air pollution dispersion models in low wind conditions. The models have been applied to two sites frequently characterised by weak winds: the cities of Modena and Reggio Emilia, in the Po River Valley (Northern Italy). The emission sources are the municipal waste incinerator (Modena) and a turbogas plant (Reggio Emilia). Total Suspended ...


    By Inderscience Publishers

  • Numerical Simulations on Aerodynamics of Thermally Induced Plumes

    Since the physics of air entrainment is not yet clearly understood, most of the fire plume expressions reported in the literature were derived empirically. Experiments with different fire geometry, fuels, and ambient conditions would be difficult when trying to derive comprehensive plume temperature and velocity fields from existing theories. Computational fluid dynamics (CFD), a practical ...


    By SAGE Publications

  • Groundwater Contamination Plume Remediation - Case Study

    19 CMT Multilevel Systems Successfully Installed in Challenging  A facility in Pontypool, Wales, UK was once the location of a plastic forming plant. Over time, chemicals produced through the plastic forming processes were lost into the groundwater beneath the facility, creating a large contaminant plume. Years later it was determined that the plume is ...


    By Solinst Canada Ltd.

  • Comparison of predictions of the Hybrid Plume Dispersion Model with observations at the Kincaid power plant

    The Hybrid Plume Dispersion Model (HPDM) has been evaluated with observations from a field experiment at the Kincaid power plant. HPDM is a dispersion model for buoyant plumes that employs parameterisations of boundary-layer wind, temperature, and turbulence profiles and Lagrangian time-scales. The model accounts for the bimodal distribution of turbulent velocities in the convective boundary ...


    By Inderscience Publishers

  • Simulation of the plume emitted by a municipal waste incinerator in Madeira Island

    TAPM (The Air Pollution Model) was applied to Madeira Island to simulate the behaviour of the plume of a municipal waste incinerator that was constructed in the southern slope of the island at an altitude of 1380 m. TAPM simulates very well the atmospheric flow that occurs around the island and inside the inner valleys under strong synoptic forcing. Validation tools reveal the good agreement ...


    By Inderscience Publishers

  • The use of probabilistic plume predictions for the consequence assessment of atmospheric releases of hazardous materials

    Toxic load-based toxicity models have been increasingly applied to model the effects of atmospheric releases of hazardous materials. Although the majority of atmospheric transport and dispersion models predict only a ‘mean’ plume, real-world personnel are exposed to one of many possible individual realisations of a plume, and never to a ‘mean’ plume. Hazard prediction assessment capability ...


    By Inderscience Publishers

  • Simulation of plume dispersion using different stack configurations and meteorological inputs

    The application of CALMET/CALPUFF modelling system is well known, and several validation tests were performed until now; however, most of them were based on experiments with a large compilation of surface and aloft meteorological measurements, not always available. Also, the use of an operational large smokestack as tracer source is not so usual. In this work, CALPUFF model is applied to ...


    By Inderscience Publishers

  • Model evaluation of the Austrian Gaussian plume model ON M 9440: comparison with the Copenhagen and the Lillestrom datasets.

    The Austrian Gaussian plume model ON M 9440 is evaluated with the Copenhagen and the Lillestrom datasets using the workshop model validation kit. Results strongly depend on the dataset used. Calculated concentrations agree best with the Copenhagen data (including the previous evaluation with the Kincaid data by Pechinger and Petz, 1995). As with other Gaussian models, there were problems with ...


    By Inderscience Publishers

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