air quality modeling Articles

  • A modelling system for air quality management

    To develop effective air quality management strategies at regional and urban levels requires the preparation of several actions belonging to different scientific areas and analysis of their complex interactions. A well-structured management system must be based on efficient tools that integrate diverse sets of information - emissions, traffic, meteorological variables and air quality data. ...


    By Inderscience Publishers

  • PM2.5 Air Quality Modeling Updates

    There has been much activity over the past six (6) months that will impact how air quality modeling analyses will be conducted for Prevention of Significant Deterioration (PSD) permit applications with respect to particulate matter less than 2.5 microns (PM2.5).  As the resident air quality modeling expert at ALL4, I thought it ...


    By All4 Inc.

  • ALL4 Air Quality Modeling Update

    As it’s been over a year since my last air quality modeling-related 4TR article, I thought it appropriate to provide a general status report on the air quality modeling updates that have occurred over the last year.  ...


    By All4 Inc.

  • A quantitative approach to the traffic air quality problem: the traffic air quality index

    The Traffic Air Quality (TAQ) model is a simple tool to estimate traffic fine particulate emissions on roadways (g/km) and can be used for both real-time analysis and for localized conformity analysis (“hot-spot” analysis for nonattainment areas) as defined by 40 CFR 93.123. This paper is a follow-up to a study published earlier regarding the development of the TAQ model. This paper shows how ...

  • Air quality modelling as a supplementary assessment method in the framework of the European Air Quality Directive

    According to the European Air Quality (AQ) Directive, member states must annually report their AQ to the European Commission (EC). This report can be based on modelling data if the concentration levels do not exceed the established lower assessment thresholds (LAT), or on combined data from modelling and monitoring systems (supplementary assessment methods) if concentrations levels are below the ...


    By Inderscience Publishers

  • Multiple Instruments Work Together for a Better View of Air Quality

    Accurately identifying and quantifying particulate matter (PM) in the atmosphere is key to determining air quality. Researchers are particularly interested in PM that have a diameter of less than 2.5 micrometers because they are believed to contribute to heart and lung disease in humans and animals. These tiny particles are invisible to the naked eye and originate from power plants, fires, and ...

  • The value of accurate air quality forecasts

    The value of accurate air quality forecasts critically depends upon how the information will be used. This paper proposes a simple model of private firm decision-making under uncertainty to consider potential economic applications and benefits from accurate air quality forecasts. It uses the findings of a survey of employees from five large employers in southern New Hampshire and northeastern ...


    By Inderscience Publishers

  • Managing air quality during regulatory changes

    This paper discusses the regulatory and technical issues associated with the revisions to the US EPA Guideline on Air Quality Models. The proposed guideline includes the models AERMOD, CALPUFF, and ISC-PRIME, all of which contain significant technical improvements over prior models. Differences in modelling requirements are appearing as regulatory agencies and industries use technically superior ...


    By Inderscience Publishers

  • How clean is your local air?

    Few people know how clean the air is where they live, work, exercise or where their children go to school. Although air quality can be shown to vary significantly over short distances, air pollution is generally measured using a small number of large, expensive and high quality monitoring stations. The equipment used in these stations is very accurate and complies with measurement standards but ...


    By AQMesh

  • 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

  • Towards uncertainty mapping in air-quality modelling and assessment

    The aim of this paper is to promote the use of uncertainty mapping when spatial assessments of air quality are made. A large number of air quality maps are produced for scientific and policy purposes but rarely are corresponding maps of their uncertainty included. The need for such maps and the methods to produce them are described. Several uncertainty parameters are discussed but it is ...


    By Inderscience Publishers

  • Methodology for a comparative evaluation of two air-quality models

    This paper presents a methodology for conducting an objective comparative evaluation of two air-quality models using several datasets. This methodology is designed to be simple to implement and understand, to reliably discern improvement in performance, and to accommodate the use of datasets from a variety of field studies of varying quality. The reliability of the comparison is enhanced by the ...


    By Inderscience Publishers

  • Air quality assessment in the EU: room for improvement?

    Different modelling approaches are used to design and assess air quality plans across Europe. This study assessed the strengths and weaknesses of these different approaches. The researchers conclude that a large variety of models is in use, without a preferred or standard model having emerged yet. They identify integrating local-scale and large-scale models and verifying models with measurements ...

  • 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

  • Mesoscale transport of air pollutants over Athens: implications for air quality

    Air pollutants released from sources located near and around extensive conurbations such as the Athens Metropolitan Area, can be transported over them under various atmospheric conditions. Some of the industrial sources located to the north-east of Athens are directly responsible for the transport and dispersion of a large number of pollutants. In this paper the result of a number of simulations ...


    By Inderscience Publishers

  • Confronting allegations of air quality non-compliance

    A facility with an air quality permit must comply with all the conditions of that permit and demonstrate its compliance on an on-going basis. Unfortunately, no matter how diligently the facility and corporate staff strives to assure continuous compliance, unexpected compliance challenges can occur. For example, new equipment fails the emissions guarantees provided by equipment vendors; new staff ...


    By Trinity Consultants

  • 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

  • Numerical model–based relationship between meteorological conditions and air quality and its implication for urban air quality management

    Relationships between winter air pollutant concentrations and ten meteorological parameters were investigated based on observed pollutant concentrations and high–resolution meteorological data from weather research and forecast model, and multiple linear regression models were developed for estimating NO2 and PM10 concentrations over ...


    By Inderscience Publishers

  • Studies of air quality predictors based on neural networks

    In recent years, urban air pollution has emerged as an acute problem because of its negative effect on health and living conditions. Regional air quality problems, in general, are linked to violations of specified air quality standards. The current study aims to find neural network based air quality predictors, which can work with a limited number of datasets and are robust enough to handle data ...


    By Inderscience Publishers

  • Observational needs for four-dimensional air quality characterization

    Surface-based monitoring programs provide the foundation for associating air pollution and causal effects in human health studies, and they support the development of air quality standards and the preparation of emission reduction strategies. While surface-oriented networks remain a key tool for addressing traditional single pollutant human exposure challenges, these networks in isolation are not ...

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