ADMS Urban Air Quality Management System


Technical Profile Topics:
System requirements
Model development
Validation
Meteorological Input
Boundary Layer Structure
Dispersion
Sources
Plume Rise
Street Canyons
Traffic Emissions
Chemistry
Complex Terrain
Buildings
Odours
Output
Emissions Inventory
GIS
Ambient Air Quality Monitoring


System requirements
  • Windows 3.1x or Windows NT
  • Pentium PC 32MB RAM

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    Model Development
  • Developed by CERC with assistance from the UK Meteorological Office.
  • Sponsors include the regulatory authorities HMIP and HSE

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    Validation
    Comprehensive validation includes:
    Comparisons with standard field, laboratory and numerical data sets
    Participation in EU workshops on short range dispersion models
    Comparision with archived LIDAR data in a study sponsored by HMIP

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    Meteorological input
    Flexible input allows use of basic data such as cloud cover, time of day and day of year; or boundary layer data such as Monin-Obukhov length or surface heat flux and boundary layer height
    Worldwide data specifically for use in ADMS Urban is available from the UK Meteorological Office, or users may use their own data

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    Boundary layer structure
    ADMS Urban is based on an up to date understanding of the structure of the atmospheric boundary layer
    This contrasts strongly with the crude surface approach used by older models such as CALINE, ISC, and R91

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    Dispersion
    ADMS Urban allows for the skewed nature of turbulence within the atmospheric boundary layer which can lead to high surface concentrations near the source in unstable (daytime) conditions
    ADMS Urban allows for partial penetration by the pollutant of any inversion at the top of the boundary layer

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    Sources
    ADMS Urban allows up to 1000 point, line, area, volume and road sources
    ADMS Urban treats continuous, time-varying and discrete releases
    ADMS Urban calculates concentrations of up to 10 pollutants simultaneously

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    Plume Rise
    ADMS Urban takes account of the buoyancy and momentum of all source types

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    Street Canyons
    ADMS Urban calculates dispersion within street canyons

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    Traffic Emissions
    ADMS Urban calculates emissions from traffic count data using a database of emission factors

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    Chemistry
    ADMS Urban models chemical reactions involving NO, NO2 and Ozone

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    Complex Terrain
    Complex terrain has a significant effect on the location and value of the maximum surface concentration where there are slopes, typically greater than 1:10
    ADMS Urban calculates the effect of the terrain on air flow and hence dispersion using CERC's advances airflow model, FLOWSTAR
    ADMS Urban allows for changes in surface elevation and roughness, and also for stability of the atmosphere
    Terrain elevation data may be loaded automatically from OS Landform Panorama (tm) digitised terrain data (1:50,000)

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    Buildings
    Buildings have a profound effect on the concentration distribution - changing the concentration sometimes by a factor of ten
    ADMS Urban explicitly calculates changes in mean flow and turbulence over the building and its effects on the dispersion

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    Odours
    ADMS Urban is unique in its ability to model odour problems using short-term concentration fluctuations
    Calculates both the variance in the concentration, and the probability that a particular concentration is exceeded for a range of times.

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    Output
    Comprehensive output includes:
    15 min, hourly, 8-hourly, daily and annual concentrations
    Percentiles
    Rolling averages
    Time-varying concentration at individual points

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    Emissions Inventory
    ADMS Urban connects to emissions inventory databases stored in standard packages such as Access, Paradox, and Oracle

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    GIS
    Interactive GIS interface for entering source data and displaying model predictions as contour plots superimposed on maps
    Perform geographical analysis on model results to determine environmental impact

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    Ambient Air Quality Monitoring
    View model predictions and monitored concentrations from ambient air quality networks simultaneously as x-y plots
    Load background concentrations into ADMS Urban from monitoring sites.

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