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Human factors in exposure analysis f...
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Riley, Donna Michelle.
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Human factors in exposure analysis for consumer paint stripper use.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Human factors in exposure analysis for consumer paint stripper use./
作者:
Riley, Donna Michelle.
面頁冊數:
166 p.
附註:
Source: Dissertation Abstracts International, Volume: 60-02, Section: B, page: 0753.
Contained By:
Dissertation Abstracts International60-02B.
標題:
Engineering, Civil. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9918602
ISBN:
0599172118
Human factors in exposure analysis for consumer paint stripper use.
Riley, Donna Michelle.
Human factors in exposure analysis for consumer paint stripper use.
- 166 p.
Source: Dissertation Abstracts International, Volume: 60-02, Section: B, page: 0753.
Thesis (Ph.D.)--Carnegie Mellon University, 1998.
The development of successful risk-management strategies requires the consideration of both the underlying physical processes and the decision-making processes that determine people's exposures to potential risks. This dissertation develops a risk-communication assessment methodology that integrates consumer beliefs and behavior with quantitative exposure analysis.
ISBN: 0599172118Subjects--Topical Terms:
783781
Engineering, Civil.
Human factors in exposure analysis for consumer paint stripper use.
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The development of successful risk-management strategies requires the consideration of both the underlying physical processes and the decision-making processes that determine people's exposures to potential risks. This dissertation develops a risk-communication assessment methodology that integrates consumer beliefs and behavior with quantitative exposure analysis.
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Methylene chloride is a chemical with a long history of use in paint strippers and other products. The information found in the popular literature has changed over time with new scientific understandings and regulatory activity. An historical exploration of the relationships between the scientific, regulatory, and popular literature developments around methylene chloride and paint stripper sheds light on the evolution of consumer perceptions and the forces that affect them.
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The characterization of risks related to paint stripping requires an understanding of the time-activity and product-use patterns of consumers, as well as quantitative exposure modeling based on those estimates. A quantitative indoor air-quality model was developed for characterizing methylene chloride exposure during home paint-stripper use, with certain parameters supplied by consumers themselves. Mental models interviews were conducted with consumers in order to gather information about their understanding of the paint-stripping process and its risks, as well as detailed data on time-activity patterns for use in the quantitative model.
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The integration of behavioral and physical data can be used to assess the effectiveness of different precautionary behaviors, predicting the amount of exposure reduction realistically expected from the implementation of each. The model can be used to prioritize information for label design, based on what consumers need to know as well as what they already report knowing. The model can also be used to predict exposure for people acting on information provided to them in existing communications, after making some assumptions about how that information is likely to be understood and translated into behavior.
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Assessing the potential impact of these exposure-reduction strategies highlights the promises and limitations of consumer information as an alternative to regulation for risk management.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9918602
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