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E3: Particle Exposure Assessment Knowledge, Part 1 — Respirable Crystalline Silica
Justin Morrow
Co-Presenter
University of Cincinnati
Cincinnati, OH
Tue, 5/20: 8:00 AM - 9:00 AM CDT
00367
Education Session
Kansas City Convention Center
Room: 3501 E
CM Credit Hours: 1
Detecting and measuring airborne particulate (aerosol) exposures remains a crucial challenge in the field of industrial hygiene. The presence of respirable and ultrafine aerosols, including respirable crystalline silica (RCS), presents significant H&S risks in the workplace. Organized by the Aerosol Technology Committee, Part 1 of the Particle Exposure Assessment Knowledge (PEAK) brings university experts to share the latest research on aerosol monitoring and assessing worker exposures. Topics include: 1) a comparative analysis of RCS sampling methodologies used by NIOSH and OSHA; 2) the methods' differences, strengths, and limitations; 3) innovative near real-time RCS detection based on RAMAN spectroscopy; and 4) the design and application of sensor networks to continuously monitor aerosols. The session will demonstrate: a) how sensor networks help identify exposure hotspots and streamline data analytics; and b) predictive modeling. By bringing together researchers with strong expertise in aerosol exposure assessment, this session aims to foster a deeper understanding of the challenges and opportunities in monitoring RCS and other airborne particles.
Upon completion, the participant will be able to:
• Compare and contrast RCS sampling methodologies.
• Evaluate near real-time RCS detection technologies.
• Identify calibration and interference issues.
• Design sensor networks for continuous aerosol monitoring.
• Integrate aerosol monitoring technologies into OSH programs.
• Apply data analysis to exposure measurements from sensor networks.
Content Level
Intermediate
Interactive Session Experience
Q&A
Organizational Category
Academia/Education
Primary Industry
Construction
Manufacturing
Oil & Gas
Topics
Aerosols & Airborne Particulates
Available as part of AIHA Connect OnDemand
Hazard Recognition/Exposure Assessment
Sampling and Analysis
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