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An Inexpensive Monitoring Network to Assess Workplace Aerosol Exposures

An Inexpensive Monitoring Network to Assess Workplace Aerosol Exposures
用于评估工作场所气溶胶暴露的廉价监测网络
批准号:
8928013
负责人:
Kirsten Anne Koehler
金额:
$53.21万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-01 至 2018-08-31

项目摘要

项目成果

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中文摘要
翻译
描述(由申请人提供):个人暴露取样是确保工作场所的化学和物理危害保持在职业暴露限值以下的主要手段。通常很少测量暴露来代表大量的工作人口,因为个人抽样是昂贵和耗时的。因此,大多数关于工人受到保护程度的决定都是基于极其稀疏的数据。将廉价的分布式传感器网络结合在一起,有可能大大增加可用于了解暴露变异性组成部分的信息内容,这对于评估和减轻工作场所风险至关重要。中概述的实验室和实地工作
英文摘要
DESCRIPTION (provided by applicant): Personal exposure sampling is the primary means to ensure that chemical and physical hazards in the workplace are maintained below occupational exposure limits. Typically few exposures are measured to represent a large working population because personal sampling is expensive and time consuming. Hence, most decisions regarding the extent to which workers are protected are based on extremely sparse data. Incorporation of distributed networks of inexpensive sensors has the potential to provide dramatic gains in the information content available for understanding the components of exposure variability, which are critical to evaluating and mitigating workplace risk. The laboratory and field work outlined in this application will develop and use a novel distributed monitoring network based on newly available, inexpensive aerosol sensors with worker tracking to estimate personal exposures. With successful completion of the proposed work, there will be many benefits, including information on operating and performance of inexpensive sensors and a network- deployable monitor (Aim 1), a method to optimize the number and placement of monitors within an occupational setting (Aim 2), and a method to integrate network and worker tracking data to estimate personal exposures (Aim 3). The new exposure assessment framework emerging from this development work will be applied in two year-long field studies at industrial workplaces to demonstrate its general utility and assess its reliability in diverse situations. Analyses of the dta from field studies is expected to demonstrate how the distributed monitoring network can be used to evaluate hazard risk at different time scales relevant to acute (e.g., 15-min) and chronic exposures (e.g., 8-hr, 40-hr, or longer; Aim 2). Further analyses conducted in Aim 3 are expected to show that network-derived personal exposures compare favorably to conventionally-measured personal exposures, approaching or meeting NIOSH criteria for method equivalence. Compared to conventional personal sampling, these new framework will enable an unprecedented increase in exposure measurements (1,000X to 10,000X). This dramatic increase in sample size, even if somewhat less accurate and precise than conventional sampling, will make comprehensive exposure assessment possible in routine industrial hygiene practice, medical surveillance, and epidemiological study. Moreover, the framework is sufficiently general to apply for any physical or chemical agent depending on sensor availability. Consequently, the results of this work will be directly applicable to many sectors of the National Occupational Research Agenda (NORA).
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Exposure Characterization and Modeling Core
  • 批准号:
    10652263
  • 项目类别:
  • 资助金额:
    $20.57万
  • 财政年份:
    2022
  • 负责人:
    Kirsten Anne Koehler
  • 依托单位:
BREATHE - Bridging Research, Lung Health, and the Environment - Children's Center
  • 批准号:
    10532201
  • 项目类别:
  • 资助金额:
    $81.2万
  • 财政年份:
    2021
  • 负责人:
    Kirsten Anne Koehler
  • 依托单位:
An Inexpensive Monitoring Network to Assess Workplace Aerosol Exposures
  • 批准号:
    9293134
  • 项目类别:
  • 资助金额:
    $43.76万
  • 财政年份:
    2014
  • 负责人:
    Kirsten Anne Koehler
  • 依托单位:
An Inexpensive Monitoring Network to Assess Workplace Aerosol Exposures
  • 批准号:
    8755714
  • 项目类别:
  • 资助金额:
    $53.6万
  • 财政年份:
    2014
  • 负责人:
    Kirsten Anne Koehler
  • 依托单位:
海外基金