
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
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
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
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
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
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
ADMS Urban takes account of the buoyancy and momentum of all
source types
ADMS Urban calculates dispersion within street canyons
ADMS Urban calculates emissions from traffic count data using
a database of emission factors
ADMS Urban models chemical reactions involving NO, NO2 and
Ozone
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)
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
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.
Comprehensive output includes:
15 min, hourly, 8-hourly, daily and annual concentrations
Percentiles
Rolling averages
Time-varying concentration at individual points
ADMS Urban connects to emissions inventory databases stored in
standard packages such as Access, Paradox, and Oracle
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
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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