Establishing aerosol exposure predictive models based on vibration measurements

Jhy Charm Soo, Peng-Chi Tsai, Shih Chuan Lee, Shih Yi Lu, Cheng Ping Chang, Yuh When Liou, Tung Sheng Shih

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This paper establishes particulate exposure predictive models based on vibration measurements under various concrete drilling conditions. The whole study was conducted in an exposure chamber using a full-scale mockup of concrete drilling simulator to simulate six drilling conditions. For each drilling condition, the vibration of the three orthogonal axes (i.e., ax, ay, and az) was measured from the hand tool. Particulate exposure concentrations to the total suspended particulate (CTSP), PM10 (CPM10), and PM2.5 (CPM2.5) were measured at the downwind side of the drilling simulator. Empirical models for predicting CTSP, CPM10 and CPM2.5 were done based on measured ax, ay, and az using the generalized additive model. Good agreement between measured aerosol exposures and vibrations was found with R2>0.969. Our results also suggest that ax was mainly contributed by the abrasive wear. On the other hand, ay and az were mainly contributed by both the impact wear and brittle fracture wear. The approach developed from the present study has the potential to provide a cheaper and convenient method for assessing aerosol exposures from various emission sources, particularly when conducting conventional personal aerosol samplings are not possible in the filed.

Original languageEnglish
Pages (from-to)306-311
Number of pages6
JournalJournal of Hazardous Materials
Volume178
Issue number1-3
DOIs
Publication statusPublished - 2010 Jun 1

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution
  • Health, Toxicology and Mutagenesis

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