PDC 501: State-of-the Art Modeling for Industrial Hygienists Using IH Mod 2.0 With Monte Carlo Simulation

Kansas City Convention Center 

CM Credit Hours: 3.5 

This half-day PDC provides a comprehensive introduction to IH Mod 2.0, an Excel-based freeware modeling tool available on AIHA's website for evaluating workplace and consumer inhalation exposures that include a deterministic and stochastic (Monte Carlo Simulation) mode for addressing variability and uncertainty in exposure estimates. The course topics will include: 1) the IH Mod 2.0 suite of exposure models and extensive support files; 2) select the appropriate models and parameter inputs; 3) predictions based on a deterministic or probabilistic approach; 4) types of models and their use; 5) using Monte Carlo simulation techniques for exposure distribution; 6) the interpretation of model outputs; and 7) validation efforts comparing modeled and measured results. Through case studies and practical scenarios, this course offers hands-on experience applying IH Mod 2.0 to real-world IH exposure situations.

*Please note: Only participants registering for two (2) half-day PDCs on the same day will receive a box lunch. **Please note: power strips will not be provided at each attendee's seat; however, charging stations for laptops will be provided in each course room.

• Historical Evolution and Development of IH MOD
• IH Mod 2.0
• Variability and Uncertainty in Exposure Estimates
• Deterministic Versus Probabilistic Approaches
• Overview of Exposure Models
• Key Input Parameters
• Case Study Examples
• Small Group Activity
• Data Quality Issues and Model Limitations
• Future Directions; Q & A Review 

Upon completion, participants will be able to:

• Identify situations where exposure models may be useful.
• Demonstrate knowledge of the various models covered in the PDC.
• Summarize the key parameters required for each model.
• Select appropriate model(s) for different exposure scenarios.
• Determine whether to adopt a deterministic or probabilistic approach.
• Characterize input parameters for point estimates and exposure distributions.
• Apply models and interpret model results.
• Recognize data gaps and model limitations.
• Complete an uncertainty analysis of model exposure estimates. 

Attendees should have a working knowledge of Microsoft Excel and macros. The Excel software should be installed on a notebook or laptop brought to the PDC. 

Attendees will gain knowledge of exposure modeling tools to improve skills in exposure estimation, predictive modeling, uncertainty analysis, and risk-based decisions. 

This PDC will provide enhanced skills in exposure estimation, predictive modeling, and quantitative uncertainty analysis to support risk-based decision making. 

Intermediate

Laptop or Tablet/iPad

Corporation/Company

All Industries

Healthcare/Pharma

Manufacturing

Chemical Hazards

Hazard Recognition/Exposure Assessment

Risk Assessment and Management

Group activities

Hands-on demonstrations and practicum

Practice exercises