OCD: Offshore and Coastal Dispersion model

DESCRIPTION

The Offshore and Coastal Dipersion Model (OCD) is an extension of the classical gaussian plume model, specifically designed to evaluate the impact of coastal or offshore emission sources. Its option allows to differentate the meteorological situation over the land and the sea, to account for offshore downwash, to evaluate the partial penetration of the plume when a temperature inversion is present, and to compute fumigation episodes. It assumes short distances and short time intervals.

Keywords

description: air quality, coastal and offshore pollution, gaussian plume
objectives: simulation
application: multiple point sources, coastal sites, offshore platforms, non reactive pollutant

SOFTWARE AVAILABILITY

      
            Minerals Management Service      
            12203 Sunrise Valley Drive, Mail Stop 644      
            Reston, VA 22091, USA.      
         

AUTHORS

      
           Steve Hanna, Lloyd Schulman, Robert Paine , Jonathan Pleim      
           Environmental Research And Technology, inc.      
           696 Virginia Road      
           Concord, Massachussets 01742      
         

REFERENCES

• Deardorff, J., Willis, G. (1982): "Ground level concentration due to fumigation into an entraining mixture layer", Atmospheric Environment 16: 1159
• Hanna S., Schulman L., Paine R., Pleim J. (1984): The Offshore and Coastal Dispersion (OCD) Model User's Guide, Revised. OCS Study, MMS 84-0069. Environmental Research and Technology, Inc.,Concord, MA - USA.
• Schulman, L., Scire, J. (1980): "Development of air quality Dispersion model for aluminium reduction plants", Document P-7304A, Enviromental Research & Tecnology, Inc., Concord, MA, USA

VALIDATION STUDIES

• Hanna S., Schulman L., Paine R., Pleim J. (1984): The Offshore and Coastal Dispersion (OCD) Model User's Guide, Revised. OCS Study, MMS 84-0069
• Hanna S., Schulman L., Paine R., Pleim J., Baer M. (1985): "Development and evaluation of the offshore and coastal dispersion (OCD) model", Journal of Air Pollution Control Association 35: 1039-1047

Back to list of air quality models