A methodology for assessment of long-term exposure to whole-body vibrations in vehicle drivers to propose preventive safety measures

Introduction: The appearance of musculoskeletal disorders (MDs) in professional drivers due to exposition to whole-body vibration (WBV) makes it relevant to assess this exposure. The European Directive 2002/44/EC has two methods to evaluate exposure to WBV (defined in ISO2631-1:2008). These methods evaluate the exposure associated with an 8-hour working day; however, MDs due to WBV could also be caused by accumulated exposure to vibrations over long term, and hence, the methods defined in the European directive may be limited in their ability to ensure the safety of workers exposed to WBV throughout their years of employment. Method: A detailed comparison and discussion of methods defined in the European Directive and the ISO2631-5:2018 was used as a starting point of the main results of this paper. On this basis, a new methodology for the management and organization of preventive measures is proposed to consider the assessment of ISO2631-5:2018 standard and the full working life of workers. Experimental data to assess exposure to WBV in heavy equipment vehicle (HEV) drivers under different road surface conditions and range of velocities were considered to illustrate the process of the proposed methodology. Results: The methods defined in the standards provide different assessments leading to a different possible consideration of safe operations when the risks associated with them may actually be high. The proposed methodology can be used with the aim of ensuring safety of workers throughout their working lives and providing an easy implementation of the calculations of ISO2631-5:2018 standard. Conclusions: A procedure to assess the health risk probability to which the HEV worker is exposed in terms of the exposure years and a different range of operational vehicle speeds is proposed and exemplified with a study case. Practical applications: This study provides a practical tool for the management of WBV exposure related to work-tasks in HEV drivers. Safety managers should consider the global exposition to WBV throughout their working life, and this research provides an easy tool to accomplish it.     

铁路危险货物运输风险度量模型

为度量铁路危险货物运输对于人员、环境和财产等方面的危害,在已有危险货物运输风险度量研究的基础上,针对铁路运输的特点,以传统的双指标(概率和后果)技术风险度量模型为框架,构建铁路危险货物运输路径风险度量模型。模型综合考虑人员伤亡、财产损失、运输中断和环境破坏多方面后果,通过有效度量运输风险,为铁路危险货物运输组织优化提供依据。     

A preliminary process design and economic assessment of a catalyst rejuvenation process for waste disposal of refinery spent catalysts

Spent hydroprocessing catalysts from refineries have been classified as hazardous solid waste by the United States Environmental Protection Agency (USEPA), refiners must find a viable but economical solution to solve this serious environmental issue. Catalyst rejuvenation is an attractive option for minimizing the environmental problems associated with spent catalysts. In this study, a preliminary design for such a process and the corresponding economic analysis are performed to assess the proposed catalyst rejuvenation process for metal-fouled spent catalysts generated in residue hydroprocessing units. The scenarios used in the economic assessment are based on three options of process synthesis and two operator modes. It is found that the option of rejuvenating medium and lightly fouled spent catalyst produced by the refinery will be the best solution for refiners, both environmentally and economically.     

基于BP神经网络的安全评价方法研究

阐述了BP神经网络的基本原理,利用机会约束的思想建立了综合安全评价模型．运用反向传播算法和遗传算法对神经元网络进行训练,在此分析基础上对系统综合安全评价模型进行求解,并对运用神经元网络进行综合安全评价的优点进行了分析。     

基于情景分析的突发事件应急预案编制方法初探

应对突发事件,制定行之有效的应急预案是保障人民生命财产安全与社会稳定的重要措施.本文在分析我国应急预案编制过程中存在的问题的基础上,探讨了如何利用情景分析的方法实现应急预案的有效编制的程序,即从灾害风险评估到情景设置与分析、响应策略的制定、实施计划、辅助操作与应急准备等一系列环环相扣的步骤,旨在从情景模拟中提炼出切实可...     

利用信息扩散模式对安徽及华东地区地震的风险分析

本文利用信息扩散模式,分别从年地震频次和年最大震级两个方面对安徽及华东地区的地震风险进行评估.结果显示:安徽地区ML≥3.0地震,年频次4次以上,约两年一遇;年发生ML≥3.9地震,则3年可能遇一次.而华东地区ML≥4.0地震,年频次4次以上,大约3年一遇;年发生ML≥4.9的地震,则可能2年遇一次.     

广州市生活饮用水地表水源地微量元素调查

对广州市秀全、巴江、江村、石门、西村、刘屋洲、南洲和沙湾等主要生活饮用水地表水源地中钼、钴、铍、硼、锑、镍、钒、钛、锡、银和钡等微量元素含量水平进行了调查,并采用单因子污染指数法和内梅罗综合污染指数法对微量元素水质进行了评价。结果表明,硼和锡在所有地表水源地均未检出,铍在部分地表水源地有检出,其他检测项目在所有地表水源地均有检出。整体而言,微量元素含量水平不高,地表水源地由北往南微量元素内梅罗指数呈逐渐降低态势,南部水源地水质优于北部水源地。巴江和西部水源地镍含量相对较高,电镀企业排污监管力度有待进一步加强。     

生态系统健康与环境管理

环境管理和生态系统健康是密不可分的,生态系统健康是环境管理的目的,生态系统健康为环境管理提供了新的思路、新的方法,健康的生态系统为实现区域可持续发展提供技术支撑和发展基础.生态系统健康的发展演替过程是优化环境管理的步骤.优化的环境管理为生态系统健康发展提供宏观决策和社会经济保障.本文从学科发展的角度论述了生态系统健康产生的背景、理论基础和应用途径;从学科交叉的角度论述了生态系统健康的评价和与环境管理的关系.提出了环境管理的目标:健康的生态系统→健康的环境→健康的食品→健康的人类生态系统→健康的社会发展.     

中山市金属回收企业绿色供应链绩效评价研究

废旧金属资源的回收是循环经济的重要组成部分,进一步加强废旧金属回收行业的管理,对于保证资源永续、减少环境污染、节省能源、提高经济效益具有重要的意义。当前的竞争环境使金属回收企业和政府主管部门急需通过金属回收企业绿色供应链绩效评价,了解企业的绿色供应链管理状况,以适应越来越激烈的市场竞争。因而建立一个金属回收企业绿色供应链绩效评价模型不仅对绿色供应链的实践具有指导意义,而且还能对金属回收企业绿色供应链的绩效作出评价,改善其绿色供应链管理。     

Comparison of Stream Invertebrate Response Models for Bioassessment Metrics1

Waite, Ian R., Jonathan G. Kennen, Jason T. May, Larry R. Brown, Thomas F. Cuffney, Kimberly A. Jones, and James L. Orlando, 2012. Comparison of Stream Invertebrate Response Models for Bioassessment Metrics. Journal of the American Water Resources Association (JAWRA) 48(3): 570-583. DOI: 10.1111/j.1752-1688.2011.00632.x Abstract: We aggregated invertebrate data from various sources to assemble data for modeling in two ecoregions in Oregon and one in California. Our goal was to compare the performance of models developed using multiple linear regression (MLR) techniques with models developed using three relatively new techniques: classification and regression trees (CART), random forest (RF), and boosted regression trees (BRT). We used tolerance of taxa based on richness (RICHTOL) and ratio of observed to expected taxa (O/E) as response variables and land use/land cover as explanatory variables. Responses were generally linear; therefore, there was little improvement to the MLR models when compared to models using CART and RF. In general, the four modeling techniques (MLR, CART, RF, and BRT) consistently selected the same primary explanatory variables for each region. However, results from the BRT models showed significant improvement over the MLR models for each region; increases in R² from 0.09 to 0.20. The O/E metric that was derived from models specifically calibrated for Oregon consistently had lower R² values than RICHTOL for the two regions tested. Modeled O/E R² values were between 0.06 and 0.10 lower for each of the four modeling methods applied in the Willamette Valley and were between 0.19 and 0.36 points lower for the Blue Mountains. As a result, BRT models may indeed represent a good alternative to MLR for modeling species distribution relative to environmental variables.