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Development of beryllium exposure ma...
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University of Cincinnati.
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Development of beryllium exposure matrices for workers in a former beryllium manufacturing plant.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Development of beryllium exposure matrices for workers in a former beryllium manufacturing plant./
作者:
Chen, Mei Juan.
面頁冊數:
332 p.
附註:
Chair: Carol Rice.
Contained By:
Dissertation Abstracts International63-01A.
標題:
Education, Health. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3038943
ISBN:
9780493519838
Development of beryllium exposure matrices for workers in a former beryllium manufacturing plant.
Chen, Mei Juan.
Development of beryllium exposure matrices for workers in a former beryllium manufacturing plant.
- 332 p.
Chair: Carol Rice.
Thesis (Ph.D.)--University of Cincinnati, 2001.
Beryllium can cause both acute pulmonary disease and chronic granulomatous lung disease. The purpose of this dissertation is to describe the development of beryllium exposure estimates for the Hazleton (PA) plant for its years of operation (1957--1981). This study describes methods to measure airborne beryllium concentrations. Strategies to reconstruct quantitative estimates from the Daily Weighted Average (DWA) and task-specific exposure are presented. The general approach was to identify the sources of industrial hygiene data and make estimates of historical exposures from existing data. Over 2000 DWA historical exposure measurements and 5,000 task-specific measurements collected by the Atomic Energy Commission (AEC) and Hazleton plant personnel were available to estimate beryllium exposures of workers over time. Job histories were abstracted from microfilm. The abstracted job titles from the abstracts were standardized and aggregated, reducing the number from 418 to 130. Worker interviews were conducted to gather information on production processes and changes over time.
ISBN: 9780493519838Subjects--Topical Terms:
1017668
Education, Health.
Development of beryllium exposure matrices for workers in a former beryllium manufacturing plant.
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Beryllium can cause both acute pulmonary disease and chronic granulomatous lung disease. The purpose of this dissertation is to describe the development of beryllium exposure estimates for the Hazleton (PA) plant for its years of operation (1957--1981). This study describes methods to measure airborne beryllium concentrations. Strategies to reconstruct quantitative estimates from the Daily Weighted Average (DWA) and task-specific exposure are presented. The general approach was to identify the sources of industrial hygiene data and make estimates of historical exposures from existing data. Over 2000 DWA historical exposure measurements and 5,000 task-specific measurements collected by the Atomic Energy Commission (AEC) and Hazleton plant personnel were available to estimate beryllium exposures of workers over time. Job histories were abstracted from microfilm. The abstracted job titles from the abstracts were standardized and aggregated, reducing the number from 418 to 130. Worker interviews were conducted to gather information on production processes and changes over time.
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Beryllium exposure was characterized and exposure matrices were constructed for daily weighted average and task exposure, respectively. Because industrial hygiene measurements were not collected in every year for all tasks and jobs throughout the years of production, exposure estimates had to be extrapolated from the existing measurements over time and across tasks and jobs. The task and DWA matrices were reviewed by long-term employees for accuracy and completeness.
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The magnitude of task and DWA exposures were characterized. Exposures between tasks and jobs varied considerably. Exposure estimates for both the tasks and jobs were highest in the early years of plant operation and decreased after 1970. The task exposures ranged from 0.01 to 519.1 mug/m3. The overall geometric means of all tasks was 3.4, 2.5, and 0.9 mug/m 3 for the pre-1960s, during the 1960s, and after the 1960s respectively. The DWAs ranged from 0.04 to 34.8mug/m3. The overall mean of peak estimates is three times higher than that of the DWAs. The DWA estimates were correlated with the peak task estimates (R2 = 0.62).
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http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3038943
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