The model includes algorithms which take into account: downwash effects of nearby buildings within the path of the dispersing pollution plume; effects of complex terrain; effects of coastline locations; wet deposition, gravitational settling and dry deposition; short term fluctuations in pollutant concentration; chemical reactions; radioactive decay and gamma-dose; pollution plume rise as a function of distance; jets and directional releases; averaging time ranging from very short to annual; and condensed plume visibility. The system also includes a meteorological data input preprocessor.3
The model is capable of simulating passive or buoyant continuous plumes as well as short duration puff releases. It characterizes the atmospheric turbulence by two parameters, the boundary layer depth and the Monin-Obukhov length, rather the single parameter Pasquill class.4
ADMS 3 can simultaneously model up to 100 emission sources, of which:5
The latest version (ADMS 5) allows up to 300 sources. Within that limit, up to 300 point sources, 30 line sources, 30 area sources and 30 volume sources may be modelled.
The performance of the model has been evaluated against various measured dispersion data sets.6
The users of ADMS 3 include:
US Environmental Protection Agency "SCRAM" website http://www.epa.gov/scram001/dispersion_alt.htm#adms3 ↩
The CERC web site pages about ADMS http://www.cerc.co.uk/environmental-software/ADMS-model.html ↩
Hanna, Steven R et al. (2201), Evaluation of the ADMS, AERMOD, and ISC3 dispersion models with the OPTEX, Duke Forest, Kincaid, Indianapolis and Lovett field data sets, International Journal of Environment and Pollution, Volume 16, Numbers 1-6, pp 301-314. Inderscience Publishers https://archive.today/20130128223120/http://inderscience.metapress.com/(3tl2v4a4s1tiyk55zjfhsr45)/app/home/contribution.asp?referrer=parent&backto=issue,27,55;journal,39,58;linkingpublicationresults,1:110851,1 ↩