air dispersion modeling Articles

  • 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

  • Error Propagation in Air Dispersion Modeling

    Air dispersion modeling has been evolving since before the 1930s.  Over the last 15-25 years, strict environmental regulations and the availability of personal computers have fueled an immense growth in the use of mathematical models to predict the dispersion of air pollution plumes.  Beychok's recently published book, 'Fundamentals Of Stack Gas Dispersion', details the evolution of the widely ...


    By Air Dispersion

  • Regulatory dispersion modelling in Finland

    We present a review of regulatory atmospheric dispersion models and their application to environmental impact assessment (EIA) in Finland. The following regulatory models are available: the urban dispersion modeling system, models for dispersion of vehicular pollution, the air pollution information system, and the dispersion model for odorous compounds. All of these models are connected to a ...


    By Inderscience Publishers

  • Regulatory dispersion modelling in Denmark

    In Denmark, the basic model for environmental impact assessments is the so-called OML model. The OML model is a Gaussian model, but in contrast to conventional regulatory models its physical description is not based on the traditional discrete stability categories. Instead, the model uses basic scaling parameters such as friction velocity, the Monin-Obukhov length, and the convective velocity ...


    By Inderscience Publishers

  • Dispersion models in Greece

    Various dispersion models for passive pollutants, as well as heavy gases, are used in Greece for environmental impact applications. The models are based on degree of complexity, and range from simple Gaussian or box models to CFD approaches. The models are used for environmental impact studies in power installations, chemical facilities and for nuclear emergencies. Reflecting the author's ...


    By Inderscience Publishers

  • Development of an integrated system for air pollutant dispersion modelling

    A complex expert system for air pollutant dispersion modeling (ScalEx) is currently being developed at Faculty of Technology and Metallurgy in Belgrade. The project goal is to develop a powerful software system as an engineering toolbox for modelling air pollutant dispersion under various conditions and terrain configurations. ScalEx is planned to be an integrated software system of the new ...


    By Inderscience Publishers

  • Air quality assessment in Bologna by an urban dispersion model

    An urban dispersion model (ADMS?Urban) was run to calculate PM10 and NO2 concentration during a one-year period, on a district of Bologna, Italy. Moreover, the exposure of 333 children was estimated using model outputs corrected with observations. The model was able to correctly simulate the long-term statistical properties of roadside observed concentrations (such as annual mean and frequency ...


    By Inderscience Publishers

  • Air dispersion modelling for individual exposure studies

    The concentration fluctuations of a dispersing hazardous gaseous pollutant in the atmospheric boundary layer, and the hazard associated with short–term concentration levels, demonstrate the necessity of estimating the magnitude of these fluctuations using predicting models. To predict and estimate the maximum expected dosage and the exposure time within which the dosage exceeds certain health ...


    By Inderscience Publishers

  • Dispersion modelling: a tool for local air quality management

    A local air quality management system, and the use of dispersion modelling as a tool for the system, are described. The Turkish town of Gehze is used as a model.Keywords: air pollution, air quality management, dispersion modelling, ...


    By Inderscience Publishers

  • Keeping the Increasing Complexity of Air Dispersion Modeling in Check

    Driven by advances in scientific knowledge, tightening and constantly changing regulations, and higher-resolution raw data, environmental modeling is demanding more and more from EH&S professionals and their computers. AERMOD run times for large projects are measured in days rather than minutes and terrain data file sizes routinely exceed 100 MB. Modelers can increase productivity and keep ...

  • A dispersion model intercomparison archive

    The paper introduces a formal archive for intercomparison of conventional regulatory dispersion models. It stems from an initial intercomparison, for the UK Environment Agency, of the USEPA's ISC and AERMOD models with the ADMS model, in common use in the UK. The objective is to compare the models directly with one another via standard test cases in order to reveal differences that may arise in ...


    By Inderscience Publishers

  • A puff-particle dispersion model

    A meso-scale puff diffusion model is presented which makes use of the concept of relative diffusion to disperse the puffs and moves their centres of mass by incorporating a Lagrangian stochastic dispersion model as it is normally used to describe particle dispersion. The so-called puff-particle model (PPM) retains the advantages of traditional puff models and at the same time is able to take into ...


    By Inderscience Publishers

  • Improving The Accuracy Of Dispersion Models

    Ever since dispersion models were first developed over 30 years ago, their accuracy has been subject to scrutiny. If automobile speedometers are accurate within five percent and orifice meters are accurate within about one percent, why can’t dispersion models be just as accurate? The early documents on dispersion modeling referred to accuracy as a “factor of 3.”(1) By the 1970’s, dispersion ...

  • Modeling Tip: How to Import BREEZE AERMOD files into BREEZE Risk Analyst for Human Health Risk Assessments

    Humans can be exposed to hazardous air pollutants (HAPs) either directly through inhalation or indirectly through ingestion or dermal contact, which can result in acute or chronic health effects. The risk of exposure varies depending on a number of variables, including the meteorological conditions, local geographical and emissions characteristics, the age of the individuals being exposed, and ...

  • Comparison between the Chinese EIA Guidelines for Air Dispersion Modelling and the Advanced Air Dispersion Model ADMS

    According to the Environmental Protection Law of P.R. China, and the Environmental Protection Management Method on Construction Projects the Technical Guidelines for Environmental Impact Assessment (EIA) (HJ/T .1~2.3-93) have defined how environmental impact assessment should be carried out for construction projects, in terms of the general principle, methodology, contents and requirements. ...

  • Dispersion models and air quality data for population exposure assessment to air pollution

    Evaluating the extent of exposure to chemicals in absence of continuous measurements of their concentration in air and direct measures of personal exposure is crucial for epidemiological studies. Dispersion models can be a useful tool for reproducing spatio-temporal distribution of contaminants emitted by a specific source. However, they cannot easily be applied to short-term epidemiological ...


    By Inderscience Publishers

  • Coupling of neural network and dispersion models: a novel methodology for air pollution models

    Supervised neural net models and dispersion models are two important approaches for evaluating air pollution concentrations. The authors propose the development of an integrated model, in order to optimise the performances of each methodology. The concentrations evaluated by an air pollution model are coupled with a Neural Net (NN), so as to adjust the influence of important variables on ...


    By Inderscience Publishers

  • 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

  • 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

  • Understanding and Adapting to New Dispersion Models

    The U.S. Environmental Protection Agency (EPA) has proposed revisions to its air dispersion modeling guidance1 (“Guideline on Air Quality Models”, or simply “Guideline”), found in 40 CFR 51 Appendix W.2 These revisions, once finalized, will create significant changes in the way that air quality analyses are performed in the US, and perhaps the most significant changes since the Guideline was ...


    By Trinity Consultants

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