Evaluation of a Probabilistic Exposure Model Applied to Carbon Monoxide (pNEM/CO) Using Denver Personal Exposure Monitoring Data

• Main Authors: Law, Puong Ling, Lioy, Paul J., Zelenka, Michael P., Huber, Alan, McCurdy, Thomas R.
• Format: Article
• Language: English
• Published: Taylor and Francis Ltd. 1997
• Subjects: GE Environmental Sciences; TP Chemical technology
• Online Access: http://ir.unimas.my/id/eprint/31202/1/Evaluation%20of%20a%20Probabilistic%20Exposure%20Model%20Applied%20to%20Carbon%20Monoxide%20-%20Copy.pdf; http://ir.unimas.my/id/eprint/31202/; https://www.tandfonline.com/doi/abs/10.1080/10473289.1997.10464416

The probabilistic National Ambient Air Quality Standards (NAAQS) Exposure Model applied to carbon monoxide (pNEM/CO) was developed by the U.S. Environmental Protection Agency (EPA) to estimate frequency distributions of population exposure to carbon monoxide (CO) and the resulting carboxyhemoglobin (COHb) levels. To evaluate pNEM/CO, the model was set up to simulate CO exposure data collected during a Denver Personal Exposure Monitoring Study (PEM) conducted during the winter of 1982-1983. This paper compares computer-simulated exposure distributions obtained by pNEM/CO with the observed cumulative relative frequency distributions of population exposure to CO from 779 people in the Denver PEM study.