Air Training Articles

  • Source identification by a statistical analysis of backward trajectories based on peak pollution events

    Back-trajectory techniques are extensively used to identify the most probable source locations, starting from the known pollutants concentration data at some receptor sites. In this paper, we review the trajectory statistical methods (TSMs) that are most used in literature for source identification, which are essentially based on the concept of residence time (RT), and we introduce a novel ...


    By Inderscience Publishers

  • Chemical reactions at street scale using a Lagrangian particle dispersion model

    In the context of the FEDER AIRCITY project, Paris City is modelled with a 3 m resolution with the purpose of computing pollutant concentration relevant for human exposition. This project involves AIRPARIF (Ile-de-France Air Quality Monitoring Network), for emission and immission data, CEA (French Atomic and Alternative Energy Agency) for HPC availability, National Geographic Institute (IGN) for ...


    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

  • QUIC transport and dispersion modelling of two releases from the Joint Urban 2003 field experiment

    An in-depth comparison of plume calculations from the Quick Urban and Industrial Complex (QUIC) dispersion model to street- and roof-level concentration measurements for a daytime and night time release taken during the Joint Urban 2003 field experiment held in downtown Oklahoma City is presented. A number of improvements to the empirical-diagnostic wind solver to better account for high-rise ...


    By Inderscience Publishers

  • Sensitivity analysis of a concentration fluctuation model to dissipation rate estimates

    Lagrangian dispersion models require estimates of the local dissipation rate (ε) of turbulent kinetic energy (κ). In this study, we evaluate the sensitivity of a Lagrangian model to different estimates of ε in simulating passive scalar dispersion in a turbulent boundary layer over a rough surface. Two different estimates of ε are used to simulate pollutant dispersion ...


    By Inderscience Publishers

  • The Austrian guideline for short scale dispersion modelling

    Dispersion modelling during licensing procedures is, due to the limited time frame, a rather challenging task. Complex building structures or source configurations, which call for sophisticated dispersion models require usually long computation times. A new modelling tool for such applications has been developed in Austria, which is based on simulations for 34 pre–defined source ...


    By Inderscience Publishers

  • Evaluations of urban atmospheric transport and dispersion models using data from the Joint Urban 2003 field experiment

    We have evaluated the performance of several urban Atmospheric Transport and Dispersion (AT&D) models by comparing model predictions to tracer gas concentrations measured during the Joint Urban 2003 field experiment in Oklahoma City, USA. These models include the Urban Canopy, Urban Dispersion Model (UDM), and Micro–SWIFT/SPRAY (MSS) modes within the HPAC modelling suite, QUIC–URB/QUIC–PLUME ...


    By Inderscience Publishers

  • Dispersion model input parameters from numerical weather prediction or synoptic observations

    Regulatory dispersion modelling uses hourly synoptic observations (OBS) from a nearby station. Alternatively, hourly Numerical Weather Prediction (NWP) data are useable in air quality management. In parallel runs, OBS data and NWP (two grid scales, ∼60 km and ∼12 km) were input to the meteorological pre–processor of the Met Office NAME III dispersion model. Frequency distribution results for ...


    By Inderscience Publishers

  • Dry deposition modelling in a Lagrangian dispersion model

    Revisions to the dry deposition scheme in the Lagrangian dispersion model, NAME, are described. Improvements are made for situations where material is not well mixed within the boundary layer and for sedimenting heavy particles. The revised scheme overcomes problems of computational noise, common in Lagrangian dispersion models, with a manageable or no increase to the computational cost. The ...


    By Inderscience Publishers

  • Comparison of two point–to–point protocols for transport and dispersion model evaluations

    Historically, assessments of transport and dispersion models have involved comparisons to field trial data using quantities derived from observations - e.g., maximum concentrations or plume widths. Recently, several methodologies that compare observations and predictions paired in space and time have been developed. Two protocols designed to deal with low observed or predicted values have ...


    By Inderscience Publishers

  • Towards a model evaluation protocol for urban scale flow and dispersion models

    This paper reports on the stages forming a model evaluation protocol for urban flow and dispersion models proposed within the COST Action 732 on "Quality Assurance and Improvement of Micro–Scale Meteorological Models". It discusses the different components forming model evaluation with emphasis on validation and implementation of the protocol for the test case Mock Urban Setting Test (MUST). The ...


    By Inderscience Publishers

  • `Top 10 Things You Should Be Asking Your Dispersion Modeler Now,` presented at the 2008 FET Conference

    Agenda Introduction to Modeling (short course) Top 10 List – Questions you should beasking your dispersion modeler Introduction to Modeling Definition Why Model? Types of Models AERMOD background Definition Dispersion modeling is a technique ...


    By Trinity Consultants

  • Dispersion modeling— New downwash calculations change the playing field

    For many people, the terms “stack height” and “dispersion model” do not ring a bell. Others grapple with these terms as they can be challenging factors in the process of obtaining an air construction permit. Have you ever constructed a stack at a specific height due to EPA guidelines and regulations surrounding Good Engineering Practice (GEP) as it relates to air ...


    By Trinity Consultants

  • On the dispersion models and atmospheric dispersion

    As an air pollutant is transported, the pollutant disperses into the surrounding air so that it arrives at a lower concentration than it was on leaving the source. Strict environmental regulations worldwide resulted in a growing concern about the validity of air quality dispersion models. The present work is a try to evaluate the applicability of some dispersion models on the emission from an ...


    By Inderscience Publishers

  • Evaluation of OML and AERMOD

    Results from an evaluation of three dispersion models are presented: the currently operational OML model, a new, improved 'Research Version' of OML, and the US AERMOD model. The evaluation is based on the Prairie Grass data set. For these data the OML Research Version appears superior to the other two models. Further, the paper discusses problems and pitfalls of the Prairie Grass data set. The ...


    By Inderscience Publishers

  • How health related issues are likely to drive dispersion modelling over the next decade

    In the future, the focus of dispersion modelling may centre on the aggregation of sources, atmospheric chemical reactions and longer range transport. This will put greater emphasis on the use of assimilated meteorological data as models are used to assess public policy options to minimise the impacts of air pollutants on human health and welfare. Because of the international nature of threats, ...


    By Inderscience Publishers

  • An integrated tool to forecast and reduce refinery contribution to SO2 pollution peaks

    For many plants, the annual average impact is significantly lower than the regulation limit. Nevertheless, in some critical meteorological conditions, pollution peaks may occur. The present study describes an original control method for refinery emissions based on meteorological forecast and dispersion modelling, to avoid SO2 pollution peaks. An integrated ...


    By Inderscience Publishers

  • MUST experiment simulations using CFD and integral models

    This paper looks at the application of Computational Fluid Dynamics (CFD) and integral approaches to the study of effects of obstacles on pollutant dispersion from a point source placed within an idealised urban area (MUST). This study is part of a modelling exercise within the COST Action 732. Numerical results are compared with wind tunnel data. We use the CFD code FLUENT and the dispersion ...


    By Inderscience Publishers

  • Numerical model of urban aerodynamics and pollution dispersion

    For analysis of atmospheric processes in the urban environment, the microscale meteorological and dispersion model M2UE is suggested, which takes into account a complex character of aerodynamics in non-uniform urban relief. The three-dimensional version of the model includes a system of Reynolds equations, two-equation k-ε model of turbulence and the 'advection-diffusion' equation to simulate ...


    By Inderscience Publishers

  • A Lagrangian dispersion model with chemical reactions

    A Lagrangian stochastic (single particle) model is modified in order to account for simple chemistry reactions and tested against measured wind tunnel data. These data refers to a reactive plume generated by a single point source of NO inside a turbulent grid flow doped with ozone. The comparisons were made at different distances from the emission considering all the substances involved in the ...


    By Inderscience Publishers

Need help finding the right suppliers? Try XPRT Sourcing. Let the XPRTs do the work for you