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Forecasting Exposures Using Well Mixed Room Models (Virtual PDC Week - Fall 2021) - CLOSED

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Course Description:

Presented as part of Virtual Fall 2021 PDC Week

Please note: this is a 2-day course, held Monday, November 8, and Tuesday, November 9. By registering, you are committing to attending both days to receive credit.

The new one and two-box Well Mixed Room (WMR) models will be introduced. TEAS-Student (a student version of Task Exposure Assessment Simulator; Windows only) will be provided. Constant emission and decreasing emission models will be covered. Deterministic and probabilistic modeling methods will be used to calculate single exposures or full-shift exposure profiles. A systematic approach to calibrating a WMR model will be introduced, along with the standard generation rate algorithms. Participants are encouraged to bring modeling examples. This PDC course will concentrate on the practical application of WMR models.


Participants should have a background in IH exposure assessment and IH statistics.

Value Added:

Participants will receive information on using Well Mixed Room modeling in their exposure assessments.

Course Outline:

  • Introduction to the New WMR models
  • Deterministic and Probabilistic Modeling
  • Use of Modeling Software
  • Model Calibration and Use of Generation Rate Algorithms
  • Group Workshops
  • Evaluation of Example Exposure Scenarios
  • Modeling Melee - Group Evaluation of Several Published Scenarios

Learning Outcomes
Upon completion, the participant will be able to:
  • Select an appropriate well-mixed room model.
  • Determine when to use a constant emission vs. decreasing emission model.
  • Calibrate a model using field measurements and/or default values.
  • Predict the exposure for a task or a series of different or repeated tasks.
  • Predict an exposure profile using Monte Carlo Simulation.

Contact Hours:

Live Presentation Dates:
Monday, November 8, & Tuesday, November 9, 9:00 a.m. - 1:00 p.m. Eastern Time

Paul Hewett, Ph.D., CIH, Exposure Assessment Solutions, Morgantown, WV