air quality modelling Articles

  • 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 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.

  • 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

  • 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

  • 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

  • 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

  • The ‘ins and outs’ of air quality monitoring

    The National Institute for Health and Care Excellence (NICE) recently issued draft guidance on ‘Air pollution - outdoor air quality and health.’ In the following article Jim Mills, Managing Director of Air Monitors Ltd, explains why there will need to be more funding for monitoring if the mitigation measures mentioned in the guidance are to be implemented effectively. Jim also ...


    By Air Monitors Ltd.

  • 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 ...

  • Model quality and safety studies

    The paper describes the EC initiative on model quality assessment and emphasises some of the problems encountered in the selection of data from field tests used in the evaluation process. Further, it discusses the impact of model uncertainties in safety studies of industrial plants. The model evaluation group (MEG) is a European initiative on evaluation of technical models used within the major ...


    By Inderscience Publishers

  • 2013: a ‘perfect storm’ in air quality

    As many countries fail to meet air quality targets and large numbers of premature deaths still result from air pollution, Jim Mills, a particulate monitoring specialist and Managing Director of Air Monitors, explains why 2013 will be a pivotal year. In November 2011 Janez Potočnik, European Commissioner for the Environment, expressed his determination to make 2013 the ‘Year of ...


    By Air Monitors Ltd.

  • 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

  • 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

  • A congestion sensitive approach to modelling road networks for air quality management

    This research establishes an approach to modelling a congested road network for air quality management, which enables the assessment of traffic management solutions that may create only subtle changes in the traffic flow regimes. Road network emissions have been calculated using standard factors taking into account details of vehicle fleet composition, average speeds and road type. Additionally, ...


    By Inderscience Publishers

  • Performance criteria for the benchmarking of air quality model regulatory applications: the 'target' approach

    The definition of appropriate performance criteria is one of the key issues for the benchmarking of air quality models in regulatory applications. As part of the FAIRMODE benchmarking activities (Thunis et al., 2010), suitable criteria for air quality modelling in the frame of the EU air quality directive (AQD) 2008 are proposed and tested. The suggested approach builds on the target indicator ...


    By Inderscience Publishers

  • An air quality modelling system for a medium-sized town: a case study in Estonia

    The air pollution modelling system used in Tartu (population 101,000) is aimed at examining the pollution levels in different meteorological conditions, and determining optimal traffic schemes and strategic development plans for the city. The system consists of: (i) a Gaussian plume model AEROPOL, and (ii) a database on sources of NOx2 ...


    By Inderscience Publishers

  • Monitoring of air pollution in Indian metropolitan cities: modelling and quality indexing

    Air quality in cities is the result of a complex interaction between natural and anthropogenic environmental conditions. Delhi, as well as many other cities in India, is facing problems concerning air pollution. The increase in industrialisation and the vehicle fleet, poor control on emissions and little use of catalytic converters, produce a great amount of particulate and toxic gases. Data on ...


    By Inderscience Publishers

  • Canarina DISPER Software · air quality modeling system · algorithms 5

      Canarina DISPER Software · air quality modeling system   The mathematical model that the software uses provides options to model emissions from a wide range of sources that might be present at industrial areas and urban areas. The basis of the model is the straight-line, steady-state Gaussian plume ...

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