Literature DB >> 20803369

Mapping particulate matter at the body weld department in an automobile assembly plant.

Sa Liu1, S Katharine Hammond.   

Abstract

A respiratory health survey conducted in an assembly plant in 2000-2001 found that welders had elevated rates of self-reported respiratory symptoms compared with painters and assembly workers. Subsequently, the ventilation system was improved at the body weld department. In a follow-up study, particle spatial distributions were analyzed, following a mapping protocol developed specifically for this workplace, to evaluate the effectiveness of the changes. Significant temporal and spatial variations were observed. Temporal variation during a shift was monitored with over-shift stationary sampling at fixed locations. Spatial variation was evaluated with 1-min time-weighted average particle concentrations measured throughout the process areas (212 locations). The arithmetic spatial mean across 212 locations for the respirable particles varied from 305 microg/m(3) to 501 microg/m(3) on 6 sampled days, with a standard deviation of 71 microg/m(3), indicating that the difference between before and after countermeasures must be at least 191 microg/m(3) to be considered statistically significant at the given sample sizes. The available data were not sufficient to evaluate the reduction of the particle concentrations after the countermeasures. The map of particle mass concentration revealed several high concentration areas, requiring further investigation and potentially higher level of controls. Resistance welding needed to be effectively controlled, as it could be the major particle emitting sources in the facility. The map of submicrometer (0.014 microm to 1.0 microm) particle count concentration presented different patterns from that of respirable particle mass concentration, indicating that the submicrometer particles tended to be more evenly distributed over the process areas. Workers not in proximity to intensive welding operations might be exposed to fine particles at levels higher than had traditionally been thought. Mapping was demonstrated to be an effective method to assess particle spatial distributions. A well-designed sampling protocol is critical to achieving the specific aims of a mapping study.

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Year:  2010        PMID: 20803369     DOI: 10.1080/15459624.2010.509844

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  6 in total

1.  Mapping Occupational Hazards with a Multi-sensor Network in a Heavy-Vehicle Manufacturing Facility.

Authors:  Christopher Zuidema; Sinan Sousan; Larissa V Stebounova; Alyson Gray; Xiaoxing Liu; Marcus Tatum; Oliver Stroh; Geb Thomas; Thomas Peters; Kirsten Koehler
Journal:  Ann Work Expo Health       Date:  2019-03-29       Impact factor: 2.179

2.  An inexpensive sensor for noise.

Authors:  Laura Hallett; Marcus Tatum; Geb Thomas; Sinan Sousan; Kirsten Koehler; Thomas Peters
Journal:  J Occup Environ Hyg       Date:  2018-05       Impact factor: 2.155

3.  Optimizing a Sensor Network with Data from Hazard Mapping Demonstrated in a Heavy-Vehicle Manufacturing Facility.

Authors:  Jesse D Berman; Thomas M Peters; Kirsten A Koehler
Journal:  Ann Work Expo Health       Date:  2018-05-28       Impact factor: 2.179

4.  Sources of error and variability in particulate matter sensor network measurements.

Authors:  Christopher Zuidema; Larissa V Stebounova; Sinan Sousan; Geb Thomas; Kirsten Koehler; Thomas M Peters
Journal:  J Occup Environ Hyg       Date:  2019-06-28       Impact factor: 2.155

5.  Aerosol characterization and pulmonary responses in rats after short-term inhalation of fumes generated during resistance spot welding of galvanized steel.

Authors:  James M Antonini; Aliakbar Afshari; Terence G Meighan; Walter McKinney; Mark Jackson; Diane Schwegler-Berry; Dru A Burns; Ryan F LeBouf; Bean T Chen; Mohammad Shoeb; Patti C Zeidler-Erdely
Journal:  Toxicol Rep       Date:  2017-02-22

6.  Estimating personal exposures from a multi-hazard sensor network.

Authors:  Christopher Zuidema; Larissa V Stebounova; Sinan Sousan; Alyson Gray; Oliver Stroh; Geb Thomas; Thomas Peters; Kirsten Koehler
Journal:  J Expo Sci Environ Epidemiol       Date:  2019-06-04       Impact factor: 5.563

  6 in total

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