Modelling personal exposure to particulate air pollution: an assessment of time-integrated activity modelling, Monte Carlo simulation & artificial neural network approaches.

@article{McCreddin2015ModellingPE,
  title={Modelling personal exposure to particulate air pollution: an assessment of time-integrated activity modelling, Monte Carlo simulation & artificial neural network approaches.},
  author={Andrew McCreddin and Md Saniul Alam and Aonghus McNabola},
  journal={International journal of hygiene and environmental health},
  year={2015},
  volume={218 1},
  pages={107-16}
}
An experimental assessment of personal exposure to PM10 in 59 office workers was carried out in Dublin, Ireland. 255 samples of 24-h personal exposure were collected in real time over a 28 month period. A series of modelling techniques were subsequently assessed for their ability to predict 24-h personal exposure to PM10. Artificial neural network modelling, Monte Carlo simulation and time-activity based models were developed and compared. The results of the investigation showed that using the… CONTINUE READING
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