从生态旅游到低碳旅游——从理念到实践

阐述了生态旅游、低碳旅游的基本概念,分析了生态旅游存在的不足,提出低碳旅游的量化及建立各项标准及其指标评价体系并将之融入低碳旅游全过程以实现低碳旅游的标准化,重点在于实现低碳理念、低碳参与者及低碳实践3个方面的有机结合,以促进旅游业的可持续发展的可操作性建议.     

基于OpenFOAM的城市街区毒气扩散模拟

为了对毒气扩散过程进行及时、有效的模拟,将开源计算流体动力学软件OpenFOAM与PISO算法(pressure implicit with splitting of operators,压力隐式算子分割算法)相结合,进行城市街区毒气扩散模拟研究. 将SIMPLE(semi-implicit method for pressure linked equations,压力耦合方程组的半隐式算法)与PISO算法进行了对比,指出以PISO算法为基础的数值模拟在城市街区这类大范围毒气扩散模拟中具有容差性强、计算较为稳定等优点. 以福州大学怡山校区为扩散区虚拟地理环境,选用氯气为假定毒气,利用OpenFOAM对氯气的扩散传播过程进行了模拟, 并与商用软件FLUENT在相同条件下的ρ(Cl₂)模拟结果进行了对比. 结果表明,结合PISO算法的OpenFOAM能够较好地完成复杂虚拟地理环境下的毒气扩散过程模拟,其ρ(Cl₂)模拟结果与FLUENT模拟结果的平均偏差小于5%,但在计算效率上却提高了41.89%.      

A neuro-fuzzy algorithm for assessment of health,safety, environment and ergonomics in a large petrochemical plant

Process plants such as petrochemical units have been continuously trying to improve Health, Safety, Environment and Ergonomics (HSEE) programs. This study proposes an adaptive network-based fuzzy inference system (ANFIS) for assessment of HSEE programs in a petrochemical plant. The proposed neuro-fuzzy approach is applied to a set of operators in the petrochemical unit to show its applicability and superiority. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and accomplishment of HSEE programs is used as output for the algorithm. Moreover, this algorithm is used to rank operators performance with respect to HSEE. Finally, the algorithm identifies efficient operators with respect to HSEE. This is the first study that introduces an intelligence algorithm for assessment and improvement of HSEE program in a petrochemical plant.     

Ergonomic Risk Factors for Cumulative Trauma Disorders in VDU Operators

The objectives of this study were to investigate the rate of cumulative trauma disorders (CTDs) in the upper body and to describe the associations of such disorders with ergonomic parameters in a group of data entry operators. A total of 173 data entry operators volunteered to take part in the study. Questionnaires were used to investigate their medical history. Diagnoses of CTDs were made with clinical tests. A visual posture analysis of the workers and an ergonomic analysis of workstations and workload were used to reveal risk factors. Neck and shoulder pain, extensor tendonitis of the wrists and De Quervain’s disease were common in the study population. An assessment of risk factors showed that leaning wrists on the keyboard, hard keystrokes, extreme wrist joint and thumb positions and working in poor ergonomic design were correlated to pain and development of CTDs.     

Environmental,economic and social costs and benefits of a packaging waste management system: A Portuguese case study

The impact of the management of packaging waste on the environment, economic growth and job creation is analyzed in this paper. This integrated assessment intends to cover a gap in the literature for this type of studies, using the specific case study of the Portuguese packaging waste management system (SIGRE).The net environmental benefits associated with the management of packaging waste, are calculated using the Life Cycle Assessment methodology. The results show that, for the categories studied, the impacts associated to SIGRE's various activities are surpassed by the benefits associated to material and energy recovery, with special focus on recycling. For example, in 2011 SIGRE avoided the emission of 116 kt CO₂ equiv. – the equivalent carbon emission of the electricity consumption of 124.000 households in Portugal.The economic impact of SIGRE is evaluated through Input–Output Analysis. It was found that SIGRE's activities also have a significant economic impact. For example, their added value are ranked amongst the upper third of the economic activities with highest multiplier effect at national level: this means that for each Euro of value added generated within SIGRE, 1.25 additional € are added to the rest of the economy (multiplier effect of 2.25).Regarding the social impacts of SIGRE, the number of direct jobs associated with the system is estimated to be more than two thousand and three hundred workers. Out of these, 83% are connected to the management of municipal waste packaging (selective collection and sorting), 15% are connected to the management of non-municipal packaging waste and only 2% are connected to the Sociedade Ponto Verde (SPV, green dot society in English) – the management entity responsible for SIGRE.In general terms, the results obtained provide quantitative support to the EEA (2011) suggestion that moving up the waste hierarchy – from landfilling to recycling – creates jobs and boosts the economy.     

企业安全生产主因素辨析的模糊数学模型及应用——来自电网企业的实证研究

应用模糊数学的思想建立了企业的安全主因素辨析的模糊数学模型。运用在电网企业调研的实际数据,分析和证实了影响电网经营企业安全的主要因素,它们依次是管理、员工素质、电网结构、环境。对电网企业而言,员工素质和电网结构在短期内具有不易变的特点,管理是影响安全效果的最活跃的因素。在对“管理”要素作为二级分析时,辨析出8个安全管理方面的“要素”,其分别影响着电网安全生产。研究结果对电网安全管理实践有一定的指导意义。     

建筑施工起重机械事故一线作业人员不安全动作规律研究

为有效预防建筑施工起重机械事故,笔者将建筑起重机械一线作业人员按工种分为设备驾驶员、现场施工人员、安拆维修工和信号司索工4种。以行为安全“2-4”模型作为分析工具,对70起建筑施工起重机械事故样本中各类人员不安全动作进行分析。结果表明:建筑施工起重机械事故一线作业人员发出不安全动作196次,其中设备驾驶员发出不安全动作29次,占比41.43%,安拆维修工、信号司索工、现场施工人员分别发出不安全动作18、14和9次,占比分别为25.71%、20%和12.86%。一线作业人员常见的不安全动作是擅自拆除或起吊、未佩戴劳动防护用品、作业现场环境误判断、违反安全操作规程、资质不足作业,其中资质不足作业、违反安全操作规程和作业现场环境误判断发生频次最高。     

Fundamentals of the Model Behind the COSMOS Methodology Used for Team Assessment in Simulator Training

Team working is the basic way of working in the control rooms of hazardous technologies and therefore its quality is a safety-relevant issue. In addition to the technological competence it is also crucial for the crews to have the necessary communicational skills. During simulator training these skills can only be improved if the simulator use is embedded in an appropriate setting. To support this skill acquisition a computer-supported methodology called COSMOS (COmputer Supported Method for Operators’ Self-assessment) has been developed. With its help more effective communication and more complete shared mental models can be fostered. This paper is a report on the psychological fundamentals and the mathematical model of the COSMOS methodology.     

An adaptive neural network algorithm for assessment and improvement of job satisfaction with respect to HSE and ergonomics program: The case of a gas refinery

Researchers have been continuously trying to improve human performance with respect to Health, Safety and Environment (HSE) and ergonomics (hence HSEE). This study proposes an adaptive neural network (ANN) algorithm for measuring and improving job satisfaction among operators with respect to HSEE in a gas refinery. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and job satisfaction is used as output for the ANN algorithm. Moreover, ANN is used to rank operators performance with respect to HSEE and job satisfaction. Finally, Normal probability technique is used to identify outlier operators. Moreover, operators with inadequate job satisfaction with respect to HSEE are identified. This would help managers to see if operators are satisfied with their jobs in the context of HSEE. This is the first study that introduces an integrated ANN algorithm for assessment and improvement of human job satisfaction with respect to HSEE program in complex systems.     

Characteristics of Muscular Load in Computer Data Entry Workers Assessed by EMG and Postural Angles

The goal of this study was to characterize the muscular load in computer data entry workers. Electromyography (EMG) parameters of trapezius muscle and postural angles of head, arm, and back were chosen as indicators of musculoskeletal load. The examination was done according to the methods and protocol of international MEPS studies (the “Musculoskeletal, Visual, and Psychosocial Load in VDT [Video Display Terminal] Operators in Optimized Environment” international program). The musculoskeletal load during routine VDT data entry work performed by a group of 36 women was assessed on the basis of 1-hr physiometer recordings. Results show that the musculoskeletal load associated with data entry is relatively high compared to other VDT operators’ tasks described in the literature. An analysis of the measured parameters shows that most of the time women worked with a muscular load higher than optimal. It is postulated that the main reason for the heavy musculoskeletal load was improper posture compelled by unergonomic spatial configuration of work stands.