王芬, 李彬, 袁辉, 尹丽, 拓飞, 李则书, 王秦. 新疆维吾尔自治区某铍厂铍尘浓度的分布规律[J]. 环境卫生学杂志, 2021, 11(3): 300-303. DOI: 10.13421/j.cnki.hjwsxzz.2021.03.014
    引用本文: 王芬, 李彬, 袁辉, 尹丽, 拓飞, 李则书, 王秦. 新疆维吾尔自治区某铍厂铍尘浓度的分布规律[J]. 环境卫生学杂志, 2021, 11(3): 300-303. DOI: 10.13421/j.cnki.hjwsxzz.2021.03.014
    WANG Fen, LI Bin, YUAN Hui, YIN Li, TUO Fei, LI Zeshu, WANG Qin. Distribution of Beryllium Dust Concentration at Key Workshops in a Beryllium Plant in Xinjiang Uygur Autonomous Region[J]. Journal of Environmental Hygiene, 2021, 11(3): 300-303. DOI: 10.13421/j.cnki.hjwsxzz.2021.03.014
    Citation: WANG Fen, LI Bin, YUAN Hui, YIN Li, TUO Fei, LI Zeshu, WANG Qin. Distribution of Beryllium Dust Concentration at Key Workshops in a Beryllium Plant in Xinjiang Uygur Autonomous Region[J]. Journal of Environmental Hygiene, 2021, 11(3): 300-303. DOI: 10.13421/j.cnki.hjwsxzz.2021.03.014

    新疆维吾尔自治区某铍厂铍尘浓度的分布规律

    Distribution of Beryllium Dust Concentration at Key Workshops in a Beryllium Plant in Xinjiang Uygur Autonomous Region

    • 摘要:
      目的 了解新疆维吾尔自治区某铍厂工作场所不同的工作岗位铍尘浓度的变化规律, 探讨铍尘浓度的分布特点, 找出铍尘浓度的季节变化的规律和日变化规律。
      方法 采用粉尘采样仪在铍厂内不同生产车间及不同重点岗位工作区进行采样, 应用电感耦合等离子体质谱仪分析空气中铍浓度。
      结果 部分岗位工作区的检测结果超出职业限值的(31 ~ 1 394)倍, 而且铍厂工作场所不同工作岗位、日内不同时间及不同季节的铍尘浓度变化差别较大。
      结论 通过调查建立基线数据资料, 可为该地区铍工业中职业病危害因素提供相关控制措施, 为有针对性的采取防控措施和提高作业人员的自我保护意识奠定重要基础。

       

      Abstract:
      Objective To investigate the change in beryllium dust concentration at different workshops in a beryllium plant in Xinjiang Uygur Autonomous Region, explore the distribution characteristics of beryllium dust concentrations of seasonal and diurnal variations,
      Methods Dust sampler of ACCZ20 was used to collect samples at different production processes and key workshops of the beryllium plant, and inductively coupled plasma mass spectrometry was used to measure the concentration of beryllium in air.
      Results The examination result of some positions were (31~1 394)times were higher than that of the occupational exposure limit, and there were a significant difference in beryllium dust concentration among different workshops, time points, and seasons.
      Conclusion The baseline data established based on the investigations can provide key control measures for occupational hazards in the beryllium industry in Xinjiang and thus lay an important foundation for taking targeted preventive and control measures and raising the awareness of self-protection among workers.

       

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