Title of Example

  The use of the AQM system INDIC Airviro in Birmingham – West Midlands

Example

   

Overview of the selection of AQM tool / system

The West Midlands Joint Pollution Working Group became involved in modelling for

review and assessment during a First Phase 1) task studying ADMS Urban and INDIC Airviro. INDIC Airviro, which is licensed by the Swedish Meteorological Office

(SMHI), was seen to meet the needs of the conurbation better for the subsequent

work.

The use of INDIC Airviro

Within the West Midlands, there are now three users of the Airviro suite,

Birmingham City Council, Coventry City Council and Sandwell Metropolitan

Borough Council. The use of compatible systems allows the inter-exchange of

information and has created a local support network and local technical knowledge.

Each authority also has a service contract and support from SMHI in Sweden.

Carbon monoxide (CO) and nitrogen dioxide (NO2) modelling, was completed on one Airviro system based in Birmingham City Council offices.

The Airviro system is a complete Air Quality Management System as it includes the following functional blocks:

• emission surveying and modelling within the Emission Database (EDB)

• dispersion modelling with the Dispersion module

• monitoring data collection, analysis and presentation with the INDIC package.

Emission Database (EDB)

Emission data is stored within the EDB. Databases within the model allow it to store

emission characteristics from an unlimited number of sources of four different types:

• point sources - the emission is assumed to be concentrated in a small area such as that from a single point like a stack. Information describing the stack conditions must be given for use in the dispersion model.

• area sources - emission is assumed to be distributed over a rectangular area and released uniformly

• line sources - the emission is assumed to be evenly distributed along a line and normally used as an approximation for describing roads

• grid layers - smaller or less significant emission sources are combined into a grid and represent background emission levels.

The EDB stores both static and dynamic information allowing the emission to be

defined through, time and temperature variation, different road types describing traffic

patterns, vehicle characteristics and speed dependent emission factors, as well as other features that help to convert obtainable data into emission figures.

The Dispersion Model

The dispersion model uses information about weather, emissions, topography and

climatology as input data. The module produces air quality calculations in the form of

seasonal, yearly means, percentiles or hourly data for specified time periods. The

user has a choice of different types of models; the Gauss model, the Grid model and

the Canyon model.

For review and assessment exercise all modelling and validation work was

carried out using the Gauss model. The Gauss model is based on a Langrangean

Gaussian formulation and recommended for calculations on smaller scales, and for

areas where the topography is reasonably flat.

Prior to any dispersion calculation the wind field is calculated. The wind field

calculation utilises meteorological data to calculate stability (based on Monin-Obukhov length) and turbulence within the boundary layer. This data is then used to

determine other parameters of the boundary layer (eg boundary layer height, diabatic

heating, potential temperature distribution at ground level and the free wind field).

Dispersion calculations are then applied to simulate the distribution of ground level

pollutants over urban or industrial areas. The model simulates one-hour mean, steady state pollution concentrations and operates at best over a distance of 100 m to 2 km.

The Gauss model does not resolve individual buildings. Instead, surface structures

enter the model through local roughness values, and through the wind field. Buildings

give a rougher surface, which creates more friction and hence a lower wind speed, which influences dispersion.

The model, its internal computations and assumptions including its advantages and

disadvantages over Gaussian plume models are outlined in more detail in the user

documentation, SMHI (1997).

(1 First Phase was a Department of the Environment sponsored pilot study during 1996/97 to examine various aspects of the process of review and assessment. For a summary of all work carried out for the First Phase see NETCEN (March 2000).

Further Reading

More information on the Methodology of the Birmingham Air Quality Assessment can be seen at :

www.birmingham.gov.uk/GenerateContent?CONTENT_ITEM_ID=6463&CONTENT_ITEM_TYPE=0&MENU_ID=10428

Last Updated


 

13th January 2005

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