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国家自然科学基金(30640085)

作品数:6 被引量:28H指数:2
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Assessment of personal noise exposure of overhead-traveling crane drivers in steel-rolling mills被引量:1
2007年
Background Noise is widespread occupational hazard in iron and steel industry. Overhead-traveling cranes are widely used in this industry, but few studies characterized the overhead-traveling crane drivers' noise exposure level so far. In this study, we assessed and characterized personal noise exposure levels of overhead-traveling crane drivers in two steel-rolling mills.Methods One hundred and twenty-four overhead-traveling crane drivers, 76 in the cold steel-rolling mill and 48 in the hot steel-rolling mill, were enrolled in the study. Personal noise dosimeters (AIHUA Instruments Model AWA5610e, Hangzhou, China) were used to collect full-shift noise exposure data from all the participants. Crane drivers carried dosimeters with microphones placed near their collars during the work shifts. Work logs had been taken by the drivers simultaneously. Personal noise exposure data were divided into segments based on lines in which they worked. All statistical analyses were done using SPSS 13.0.Results The average personal noise exposure (LAeq.8h) of overhead-traveling crane drivers in the hot steel-rolling mills ((85.03±2.25) dB(A)) was higher than that in the cold one ((83.05±2.93) dB(A), P〈0.001). There were 17 overhead traveling cranes in the hot steel-rolling mill and 24 cranes in the cold one, of which carrying capacities varied from 15 tons to 100 tons. The average noise exposure level based on different lines in the hot and cold steel-rolling mills were (85.2±2.61) dB(A) and (83.3±3.10) dB(A) respectively (P=-0.001), which were similar to the average personal noise exposure in both mills. The noise exposure levels were different among different lines (P=-0.021). Conclusion Noise exposure levels, depending upon background noise levels and the noise levels on the ground, are inconstant. As the noise exposure levels are above the 85 dB(A) criteria, these drivers should be involved in the Hearing Conservation Program to protect their hearing.
ZENG LinCHAI Dong-liangLI Hui-juanLEI ZhuoZHAO Yi-ming
新型火电厂定点与个体采样噪声测量评价的比较被引量:6
2013年
目的比较新型火电厂定点采样与个体采样测量评价噪声的结果,分析两种评价方法的异同。方法依据GBZ/T189.8—2007《工作场所物理因素测量第8部分:噪声》对工人各作业点噪声进行定点采样测量,同时对各工种的作业工人佩戴个人声暴露计进行个体噪声暴露测量。根据相应的劳动卫生学标准,用两种测量方法分别评价该企业的噪声危害情况,并对评价结果进行比较。结果定点采样的测量点为99个,噪声平均值为88.9dB(A),标准差为11.1dB(A),噪声强度范围为51。3.107.0拈(A),超标率为75.8%。个体采样测量73人次,噪声测量结果平均值为79.3dB(A),标准差为6.3dB(A),超标率为6.6%(16/241)。两种评价方法的超标率的差异有统计学意义(X^2=53.869,P〈0.001)。结论新型火电厂的工作方式特点决定以环境为噪声危害评价主体的定点采样测量已经不能代替工人个体暴露测量,新型火电厂的噪声测量应该采用个体采样测量方法。
张华陈青松李楠晏华曾琳徐国勇陶立元赵一鸣
关键词:噪声个体采样
峰度在评估复杂噪声所引起听力损失中的应用被引量:17
2016年
大量的动物实验和职业流行病学研究表明,目前的国际噪声暴露标准低估了复杂噪声对听力的危害程度,虽然能量是必要的评估参量但并不充分,复杂噪声本身的特性也至关重要。本文通过动物实验的结果,介绍峰度作为噪声能量的辅助参量,在评估复杂噪声所致听力损失的有效性,进而阐述如何从动物实验的结果推广到实际应用的思路,并用实例加以验证,对峰度参量研究的方向和应用前景进行了讨论。
邱伟张美辨徐维超于宁孙伟何玉红赵一鸣杨秋玲熊文波
关键词:峰度
Noise exposure assessment with task-based measurement in complex noise environment被引量:2
2011年
Background Task-based measurement (TBM) is a method to assess the eight-hour A-weighted equivalent noise exposure level (LAeq. 8h) besides dosimeter. TBM can be better used in factories by non-professional workers and staffs.However, it is still not clear if TBM is equal or similar with dosimeter for LAeq.8h measurement in general. This study considered the measurement with dosimeter as real personal noise exposure level (PNEL) and assessed the accuracy of TBM by comparing the consistencies of TBM and dosimeter in LAeq.8h measurement.Methods The study was conducted in one automobile firm among 387 workers who are exposed to unstable noise.Dosimeters and TBM were used to compare the two strategies and assess the degree of agreement and causes of disagreement. Worker's PNEL was measured via TBM for noise; the real PNEL was also recorded. The TBM for noise was computed with task/position noise levels measured via sound level meter and workers' exposure information collected via working diary forms (WDF) filled by participants themselves. Full-shift noise exposure measurement via personal noise dosimeters were taken as the real PNEL. General linear model (GLM) was built to analyze the accuracy of TBM for noise and the source of difference between TBM for noise and real PNEL.Results The LAeq.8h with TBM were slightly higher than the real PNELs, except the electricians. Differences of the two values had statistical significance in stamping workers (P <0.001), assembly workers (P=0.015) and welding workers (P=0.001). The correlation coefficient of LAeq.8h with TBM and real PNELs was 0.841. Differences of the two results were mainly affected by real PNEL (F=11.27, P=0.001); and work groups (F=3.11, P <0.001) divided by jobs and workshops were also independent factors. PNEL of workers with fixed task/position ((86.53±8.82) dB(A)) was higher than those without ((75.76±9.92) dB(A)) (t=8.84, P <0.01). Whether workers had fixed task/position was a
LI NanYANG Qiu-lingZENG LinZHU Liang-liangTAO Li-yuanZHANG HuaZHAO Yi-ming
关键词:OCCUPATIONACCURACYFEASIBILITY
铁矿破碎作业区白班与夜班工人个体噪声暴露水平的差异
2009年
目的探讨白班和夜班铁矿开采工人个体噪声暴露水平的差异。方法破碎作业区倒班制度为三班两运转制,测量对象为某铁矿开采企业破碎作业区3个班组全部工人,每班23~26符工人。使用个人声暴露计连续3d测量6个班次噪声水平,分析白班和夜班噪声暴露水平的差异。结果共测量146人次个体噪声暴露数据,其中白班74人次,平均噪声暴露水平为90.2dB(A),夜班72人次,平均噪声暴露水平为89.1dB(A)。除人数较少的粗碎丁和班长外,其余工种白班和夜班噪声暴露水平差异均在1dB(A)左右。对其中62名工人白班和夜班噪声暴露水平进行配对t检验,白班噪声暴露水平高于夜班2dB(A),差异有统计学意义(t=3.22,P=0.002)。结论该铁矿破碎作业Ⅸ白班噪卢略高于夜班1~2dB(A)。
李会娟柴栋梁张彩霞侯兴爱武惠曾琳吕旌乔赵一鸣
关键词:采矿
某露天开采铁矿厂个体噪声暴露测量结果分析被引量:2
2009年
目的了解某露天铁矿厂主要噪声暴露工人的噪声暴露水平。方法测量对象包括此铁矿厂主要噪声暴露工人,使用25台个人声暴露计对每个噪声作业工种进行至少一个班次个体噪声暴露测量;计算每名工人40 h工作时间的等效连续A声级(LAeq.40 h),用SPSS13.0软件计算各工种平均噪声水平,绘制噪声时间曲线。结果整个矿山的噪声作业工人平均接触噪声水平为88.8 dB(A),除选矿作业区为稳态噪声,其余5个作业区为非稳态噪声。选矿作业区球磨工噪声水平最高,为92.8 dB(A),破碎作业区皮带工及检修作业区维修工噪声水平次之。穿爆、采矿及运输作业区3种司机噪声暴露水平最低,未超过国家标准85 dB(A)。与环境噪声测量结果比较,个体噪声暴露测量更准确。结论此铁矿厂选矿、破碎及检修作业区噪声水平超过国家标准,这些工人应重点加强个体噪声防护。
柴栋良李楠李会娟宋士俊南培宏曾琳赵一鸣
关键词:噪声职业性噪声
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