The Air Pollution Model (TAPM)

Purpose

TAPM is a model developed to estimate the spread and impact of air pollution. It is a meteorological, prognostic air pollution model.

Description

Air pollution models that can be used to predict hour by hour pollution concentrations for periods of up to a year, are generally semi-empirical/analytic approaches based on Gaussian plumes or puffs. These models typically use either a simple surface based meteorological file or a diagnostic wind field model based on available observations.

TAPM is different to these approaches in that it solves approximations to the fundamental fluid dynamics and scalar transport equations to predict meteorology and pollutant concentration for a range of pollutants important for air pollution applications.

TAPM consists of coupled prognostic meteorological and air pollution concentration components, eliminating the need to have site-specific meteorological observations. Instead, the model predicts the flows important to local-scale air pollution, such as sea breezes and terrain induced flows, against a background of larger-scale meteorology provided by synoptic analyses. The meteorological component of TAPM is an incompressible, non-hydrostatic, primitive equation model with a terrain-following vertical coordinate for three-dimensional simulations.

The model solves the momentum equations for horizontal wind components, the incompressible continuity equation for vertical velocity, and scalar equations for potential virtual temperature and specific humidity of water vapour, cloud water/ice, rain water and snow. The Exner pressure function is split into hydrostatic and non-hydrostatic components, and a Poisson equation is solved for the non-hydrostatic component. Explicit cloud microphysical processes are included. The turbulence terms in these equations have been determined by solving equations for turbulence kinetic energy and eddy dissipation rate, and then using these values to represent vertical fluxes by a gradient diffusion approach, including counter-gradient terms. A vegetative canopy, soil scheme, and urban scheme are used at the surface, while radiative fluxes, both at the surface and at upper levels, are also included.

The air pollution component of TAPM, which uses the predicted meteorology and turbulence from the meteorological component, consists of four modules. The Eulerian Grid Module (EGM) solves prognostic equations for the mean and variance of concentration. The Lagrangian Particle Module (LPM) can be used to represent near-source dispersion more accurately. The Plume Rise Module is used to account for plume momentum and buoyancy effects for point sources. The Building Wake Module allows plume rise and dispersion to include wake effects on meteorology and turbulence. The model also includes gas-phase photochemical reactions based on the Generic Reaction Set, gas- and aqueous-phase chemical reactions for sulfur dioxide and particles, and a dust mode for total suspended particles (PM2.5, PM10, PM20 and PM30). Wet and dry deposition effects are also included.

TAMP GUI

TAMP User Interface - Main Window

Latest Version V4 (2008)
State of Development Unknown

Development Contact

Mary Edwards or Peter Hurley
mary.edwards@csiro.au
+61 3 9239 4400
CSIRO Marine and Atmospheric Research
107 - 121 Station Street
ASPENDALE VIC 3195
Australia

Main Developers

  • The Commonwealth Science and Industrial Research Organisation (CSIRO)

Scope

Steady State or Dynamic Unknown

Input & Output Data

Accessibility

Open/Closed Source Closed Source
Licence Type Commercial

User Information

User Interface Please Select
Ease of Use Moderate
Use in Policy Process Plan (Policy Formulation), Do (Policy Implementation)
Documentation

TAPM V4. Technical Part 1: Technical Description

TAMP V4. User Manual

Technical Considerations

Analytical Techniques Input/output
Model Structure

The meteorological component of TAPM is an incompressible, optionally non-hydrostatic, primitive equation model with a terrain-following vertical coordinate for three-dimensional simulations. It includes parameterisations for cloud/rain/snow micro-physical processes, turbulence closure, urban/vegetative canopy and soil, and radiative fluxes. The model solution for winds, potential virtual temperature and specific humidity, is weakly nudged with a 24-hour e-folding time towards the synoptic-scale input values of these variables. Note that the horizontal model domain size is restricted in size to less than 1500 km x 1500 km, as the model equations neglect time zones, the curvature of the earth and assume a uniform distance grid spacing across the domain.

Keywords air quality, pollution, meteorological
Links

MFE - Good Practice Guide to Dispersion Modelling

Atmospheric monitoring and modelling - CSIRO

Key References

Hurley P. (2008) Development and Verification of TAPM. In: Borrego C., Miranda A.I. (eds) Air Pollution Modeling and Its Application XIX. NATO Science for Peace and Security Series Series C: Environmental Security. Springer, Dordrecht

W. Jinsart, C. Sripraparkorn, S.T. Siems, P.J. Hurley, and S. Thepanondh. (2010): Application of The Air Pollution Model (TAPM) to the urban airshed of Bangkok, Thailand. International Journal of Environment and Pollution, Vol 43, Issue 1-3.

Peter J. Hurley, William L. Physick, and Ashok K. Luhar (2005): TAPM: a practical approach to prognostic meteorological and air pollution modelling. Environmental Modelling & Software, Volume 20, Issue 6, June 2005, Pages 737-752

Associated Case Studies

Other Key Case Studies

Christchurch Air Quality:

The TAMP model was used to update earlier  modelling to incorporate new emissions information, investigate unaccounted PM10 emissions, and provide guidance on whether TAPM should be used for all emission sources.

Golder Associates (2015): Christchurch Airshed modelling: Incorporation of Motor Vehicle Sources and Overnight Home Heating Emissions  Report prepared for Environment Canterbury.

 

The spatial pattern of peak 24 hour  PM10 in the Christchurch air shed from home heating and industrial sources  was modelled, and used to assess spatial non-compliance with the NES for PM10.

Gimson, N (2014) Spatial patterns of 24 Hour average ground level  concentration of PM10 in the Christchurch Clean Air Zones  Letter from  Golder Associates to Environment Canterbury .