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锰对工人血清胆碱酯酶活性和尿香草扁桃酸含量的影响 总被引:3,自引:1,他引:2
为探讨职业性锰暴露对工人血清胆碱酯酶活性和尿香草扁桃酸(VMA)水平的影响,对55名锰粉加工工人、55名冶炼工人和55名对照工人进行了调查.结果显示,锰粉加工作业环境空气锰尘中MnO2几何均数为1.96 mg/m3(0.17~22.24mg/m3),样品超标率为88.9%;冶炼作业环境空气锰烟尘中MnO2几何均值为0.65 mg/m3(0.06~6.67mg/m3),样品超标率为93.3%.锰粉加工和冶炼组头晕头痛、睡眠障碍的主诉率明显高于对照组(P<0.01),锰粉加工组血清胆碱酯酶活性明显增高(P<0.05),提示这可能是锰的早期神经毒性所致. 相似文献
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新型快餐盒模拟铁路现场野外曝露试验 总被引:1,自引:1,他引:0
对三种材质、六种工艺、两种降解类型快餐盒的模拟铁路现场野外曝露试验表明,按1995年工艺生产的光一生物降解聚丙烯餐盒,在野外阳光等因素作用下,能较快地碎化、粉化,易为野外环境自然消纳,减容效果明显;纸制餐盒的生物降解性明显,回收价值高。该两类快餐盒较适合铁路目前使用。 相似文献
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The High Line is an elevated public park in New York City, transformed from an unused freight rail line. Pedestrians walking through Manhattan’s West Side can walk either on the High Line or on a footpath below. Using Manhattan as a laboratory, this paper offers a combined assessment of noise and particulate matter pollution for its pedestrians. Noise and PM2.5 levels were recorded simultaneously for two cases (i) pedestrians walking on a footpath alongside road traffic and (ii) pedestrians walking on the elevated High Line. Testing took places over three days in autumn 2014. Results were analysed to investigate if pedestrians using the High Line would have a lower pollution exposure to those using the footpath below. Results showed statistically significant differences between the upper and lower levels in exposure to both pollution types. In order to quantify the overall impact, results are expressed through a combined air–noise pollution index. This index indicates that the average reduction in PM2.5 and noise pollution along the High Line compared to the footpath below is approximately 37%. 相似文献
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为有效评估典型地铁站台射频天线对乘客电磁暴露的安全性,设计地铁站台无线通信系统吸顶天线和乘客人体模型,利用基于有限元的电磁仿真软件,构建吸顶天线辐射下的地铁站台乘客候车电磁环境模型,研究候车乘客的公众电磁暴露问题。结果表明:天线分别工作在900和2 440 MHz时,人体组织的平均比吸收率最大值分别为4.441×10-7和1.165×10^-6W·kg^-1,电场强度最大值分别为0.139和0.148V·m^-1,平均比吸收率在人体组织内的衰减均大于电场强度的衰减;2 440MHz时的射频电磁能量在颅内的穿透能力小于900MHz时;所有计算值均低于国际非电离辐射委员会制定的公众电磁暴露限值,说明地铁站台射频天线对乘客的电磁暴露不会构成健康威胁。 相似文献
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The health cost of on-road air pollution exposure is a component of traffic marginal costs that has not previously been assessed. The main objective of this paper is to introduce on-road pollution exposure as an externality of traffic, particularly important during traffic congestion when on-road pollution exposure is highest. Marginal private and external cost equations are developed that include on-road pollution exposure in addition to time, fuel, and pollution emissions components. The marginal external cost of on-road exposure includes terms for the marginal vehicle’s emissions, the increased emissions from all vehicles caused by additional congestion from the marginal vehicle, and the additional exposure duration for all travelers caused by additional congestion from the marginal vehicle. A sensitivity analysis shows that on-road pollution exposure can be a large portion (18%) of marginal social costs of traffic flow near freeway capacity, ranging from 4% to 38% with different exposure parameters. In an optimal pricing scenario, excluding the on-road exposure externality can lead to 6% residual welfare loss because of sub-optimal tolls. While regional pollution generates greater costs in uncongested conditions, on-road exposure comes to dominate health costs on congested freeways because of increased duration and intensity of exposure. The estimated marginal cost and benefit curves indicate a theoretical preference for price controls to address the externality problem. The inclusion of on-road exposure costs reduces the magnitudes of projects required to cover implementation costs for intelligent transportation system (ITS) improvements; the net benefits of road-pricing ITS systems are increased more than the net benefits of ITS traffic flow improvements. When considering distinct vehicle classes, inclusion of on-road exposure costs greatly increases heavy-duty vehicle marginal costs because of their higher emissions rates and greater roadway capacity utilization. Lastly, there are large uncertainties associated with the parameters utilized in the estimation of health outcomes that are a function of travel pollution intensity and duration. More research is needed to develop on-road exposure modeling tools that link repeated short-duration exposure and health outcomes. 相似文献
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Samples of PM2.5 and PM10 at four types of roadside location (major road, secondary road, branch road, and expressway) in Tianjin were collected and analyzed in 2015. The average annual roadside PM2.5 and PM10 concentrations were higher than the national ambient air quality standard (NAAQS: GB3095-2012). The chromium (Cr), manganese (Mn), nickel (Ni), zinc (Zn), arsenic (As), and cadmium (Cd) concentrations in both PM2.5 and PM10 over four seasons displayed significant differences (p < 0.05). An enrichment factor (EF) analysis revealed that Cd, copper (Cu), Zn, As, Ni, and Pb in PM2.5 and PM10 mainly originated from anthropogenic sources. A factor analysis (FA) and correlation analysis (CA) revealed that vehicle emissions (exhaust and non-exhaust), soil dust, coal combustion, and industrial emissions were the main sources of roadside PM2.5 and PM10 in Tianjin. Both the total hazard quotients (total HQ) and the total carcinogenic risk (total CR) for selected elements in PM2.5 and PM10 were within acceptable limits. The HQ of Pb was higher than for other metals, and it should therefore be given special attention. The CR for traffic policemen was highest for Cr exposure (1.01 × 10−5 for PM2.5 and 1.52 × 10−5 for PM10), followed by As and Ni. A sensitivity analysis showed that the total contributions of the metal concentrations, exposure time (ET), and exposure frequency (EF) accounted for over 50% of the risk for Cr, As, and Ni, suggesting that these metals had the greatest impact on the uncertainty of health risk assessments. 相似文献
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The second part of the state-of-the-art focuses on the development of the founders' double streams explaining single-outcome indicators (probability of accidents and fatalities, respectively) by fixed form regression, as outlined in the Part 1. Following Page (1997, pp. 67–122, 2001) and others, we use as turning point of the evolution of both aggregate and discrete approaches the DRAG-1 model of 1984, itself based on aggregate data, which introduced four key innovations in principle applicable to both streams. 相似文献