[基于工作场所噪声水平空间分布的个体噪声暴露剂量估算模型]。

Q3 Medicine
L Hu, Y W Wang
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引用次数: 0

摘要

目的:建立基于噪声空间分布的个体噪声暴露剂量估算模型,为职业健康管理和工作场所噪声致听力损失风险评估提供参考。方法:选取四川省某制造企业2018年7月至2019年10月3个高噪声工作场所的10个噪声暴露岗位和48名员工作为研究对象。采用职业健康调查、工作场所噪声定点测量和个体噪声测量等方法获取噪声强度和员工暴露信息。将平均噪声强度和相应的暴露时间加权,估算基于工作场所噪声空间分布的个体噪声暴露剂量估算模型,并采用配对t检验评价基于工作场所噪声空间分布和个体噪声暴露剂量实测值估算的个体噪声暴露剂量(8 h等效声级,L(EX, 8h))的准确性。并利用最小二乘回归模型对其进行了修正。结果:某制造企业3个场所10种工种48名工人中,44人(91.7%)日噪声暴露剂量超标,最大噪声暴露强度达108.3 dB (A),个体噪声暴露剂量实测值高于L(EX, 8h),差异有统计学意义(PP=0.958)。3个地点10种工种中有6种的实测噪声暴露剂量均高于L(EX, 8h) (Pr=0.373, Py=0.574x+45.250,其中y为个体噪声暴露剂量实测值,x为L(EX, 8h)值。结论:制造业的高噪声危害较为严重,单定点检测的噪声暴露评价较为粗糙。基于工作场所噪声空间分布的个体噪声暴露剂量估算模型在制造业工作场所噪声危害的职业健康管理中具有一定的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Estimation model of individual noise exposure dose based on spatial distribution of workplace noise level].

Objective: To develop an individual noise exposure dose estimation model based on spatial distribution of noise in order to provide reference for occupational health management and hearing loss risk assessment caused by noise in workplace. Methods: From July 2018 to October 2019, 10 noise-exposed positions and 48 employees in 3 high-noise workplaces of a manufacturing enterprise in Sichuan Province were selected as the research objects. Occupational health survey, fixed-point measurement of workplace noise and individual noise measurement were used to obtain noise intensity and employee exposure information. The mean noise intensity and the corresponding exposure time were weighted to estimate the individual noise exposure dose estimation model based on the spatial distribution of workplace noise, and the paired t-test was used to evaluate the accuracy of the individual noise exposure dose estimate (8 h equivalent sound level, L(EX, 8h)) based on the spatial distribution of workplace noise and the measured value of individual noise exposure dose. And the least square regression model was used to correct it. Results: The daily noise exposure dose of 44 (91.7%) of 48 workers in 10 types of work in 3 sites of the manufacturing enterprise exceeded the standard, and the maximum noise exposure intensity was up to 108.3 dB (A). The measured value of individual noise exposure dose was higher than L(EX, 8h), and the difference was statistically significant (P<0.001). The noise difference distribution was mostly positive and symmetrical (P=0.958). The measured noise exposure dose of 6 out of 10 work types in 3 sites was higher than L(EX, 8h) (all P<0.05), and there was a linear correlation between the measured dose and L(EX, 8h) (r=0.373, P<0.05). Considering the influence of systematic error and the construction, diagnosis and screening of adaptive assessment model, an individual noise exposure dose estimation model based on the spatial distribution of workplace noise was finally obtained: y=0.574x+45.250, where y was the measured value of individual noise exposure dose, x was L(EX, 8h) value. Conclusion: The high noise hazard in manufacturing industry is more serious, and the noise exposure assessment of single fixed-point detection is relatively rough. The individual noise exposure dose estimation model based on the spatial distribution of workplace noise has a certain role in the occupational health management of workplace noise hazard in manufacturing industry.

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来源期刊
中华劳动卫生职业病杂志
中华劳动卫生职业病杂志 Medicine-Medicine (all)
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1.00
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0.00%
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9764
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