Biospheric influence on carbon dioxide measurements in Italy

The study concerning carbon dioxide measurements taken during the 1997, 1998 and 1999 summer campaigns at two different altitude stations and biospheric conditions are presented. The higher station (Mt. Cimone, 2165 m a.s.l.) is characterised by 360° free horizon and is located on a rocky mountain while the lower (Ninfa lake, 1550 m a.s.l.) is located inside the red spruce and beech forest. The different behaviour of CO₂ at the two mountain stations has been registered. It shows the strong effect of nighttime soil emission and vegetation respiration on CO₂ mixing ratio increases and of diurnal vegetative activity on CO₂ concentration decreases at the lower measurement site. The baseline character of the higher measurement site has been confirmed by comparison of CO₂ diurnal amplitudes recorded at the two stations.     

“碳中和”愿景下我国碳排放现状和减排路径

控制以CO₂为主的温室气体排放，“力争2030年前实现碳达峰，争取2060年前实现碳中和”是我国近年来面临的重大任务。碳排放研究是实现“双碳”目标的基础和前提，从碳排放测算、碳排放影响因素分析、行业碳排放研究三个方面对我国碳排放研究现状进行梳理，对近年来研究的重点方向、主要成果和目前存在的主要问题进行分析，并结合我国的“双碳”目标提出现阶段我国“以完善政策标准与加大政府扶持为基础，以产业结构调整与新兴产业发展、能源结构调整与新能源技术发展为核心，以探索CCUS（碳捕集、利用与封存）技术和增加碳汇及对居民低碳消费倾向的引导和培养为导向”的碳减排路径。     

The politics of employment liability

Employment liability is an important check and balance against employee harm at work. In practice, however, an inadvertent consequence of employment liability is a potential shift in power from organizations to employees that affects subsequent managerial decision making. In this Incubator, we discuss behavioral and attitudinal ramifications of employment liability at work. Copyright © 2014 John Wiley & Sons, Ltd.     

铁碳微电解法预处理猪场沼液中氨氮的研究

铁碳微电解是新型的污水处理技术,为了研究猪场沼液中氨氮的去除,将铁碳微电解技术应用于预处理难降解的厌氧沼液中的氨氮。经预先浸泡处理后的铁碳已达到吸附饱和,以此铁碳材料,分别采用了单因素实验和正交试验,用可见光分光光度法测试氨氮的浓度。单因素实验确定了铁碳微电解法影响氨氮去除的因素,选取pH值、反应时间、铁碳比为正交试验因素,通过正交试验得到,当温度为(20±1)℃,铁碳比为1∶1,pH值为3,反应时间为60 min时去除氨氮的效果最好,去除率为34.01%。铁碳微电解法预处理猪场沼液有一定的应用前景。     

基于贝叶斯网络的航空维修人因可靠性分析

根据维修人为因素分析和分类扩展系统的框架选取影响因素,在航空维修领域应用贝叶斯网络进行人因可靠性分析,建立飞机维修效能模型,直观地表示影响因素与维修效能之间的关系。同时以目视检测为例,结合专家意见确定随机影响因素,通过专家访谈、事故报告、调查问卷、操作记录等渠道获取数据,得出条件概率表,进而建立目视检测表现模型,展示贝叶斯网络的建模流程。案例研究结果表明,组织文化、视觉信息、设备、疲劳、检测距离等因素对目视检测表现的影响非常显著,欲改善目视检测表现,必须对多影响因素进行综合管理。     

三维点云基础上排土场垮塌影响范围研究

高台阶排土场下游常分布有居民区、厂房等,一旦垮塌,后果严重,因此完善的防治与应急准备工作十分关键,而排土场垮塌影响范围的预测是这些工作的重要前提依据。为提升高台阶排土场垮塌影响范围的预测准确性,需要获取准确的地形边界基础数据。通过利用三维激光扫描仪对新建排土场及其下游地形精细扫描,对获取的三维点云数据去噪、拼接、建模等处理,生成精度更高的数字高程模型与三维实体模型。在此基础上,结合新建高台阶排土场地质勘查与设计资料,建立颗粒离散元数值模型,利用PFC3D计算高台阶排土场垮塌影响范围,并与经验公式法计算结果对比分析,结果表明排土场颗粒离散元数值模型精度符合要求,可快速、准确地计算影响范围,从而为相关部门提供科学决策依据。     

常见金属硫化物电化学反应环境效应及其影响因素分析

金属硫化物矿物作为重要的金属矿产资源之一,在自然界广泛分布并易氧化(电化学反应)引起重金属离子和酸性矿山废水污染的环境效应。本文以黄铁矿和黄铜矿为例全面分析了金属硫化物矿物环境效应产生机制,以及影响金属硫化物矿物电化学反应的各种因素,指出了当前研究存在的不足。这对金属硫化物矿区环境污染的源头控制与修复具有重要的指导意义。     

Dynamic-risk-informed safety barrier management: An application to cost-effective barrier optimization based on data from multiple sources

An integrated approach for performance assessment and management of safety barriers in a systemic manner is needed concerning the prevention and mitigation of major accidents in chemical process industries. Particularly, the effects of safety barriers on system risk reduction should be assessed in a dynamic manner to support the decision-making on safety barrier establishments and improvements. A simulation approach, named Simulink-based Safety Barrier Modeling (SSBM), is proposed in this paper to conduct dynamic risk assessment of chemical facilities with the consideration of the degradation of safety barriers. The main functional features of the SSBM include i) the basic model structures of SSBM can be determined based on bow-tie diagrams, ii) multiple data (periodic proof test data, continuous condition-monitoring data, and accident precursor data) may be combined to update barrier failure probabilities and initiating event probabilities, iii) SSBM is able to handle uncertainty propagation in probabilistic risk assessment by using Monte Carlo simulations, and iv) cost-effectiveness analysis (CEA) and optimization algorithms are integrated to support the decision-making on safety barrier establishments and improvements. An illustrative case study is demonstrated to show the procedures of applying the SSBM on dynamic risk-informed safety barrier management and validate the feasibility of implementing the SSBM for cost-effective safety barrier optimization.     

An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents

Natural gas pipeline construction is developing rapidly worldwide to meet the needs of international and domestic energy transportation. Meanwhile, leakage accidents occur to natural gas pipelines frequently due to mechanical failure, personal operation errors, etc., and induce huge economic property loss, environmental damages, and even casualties. However, few models have been developed to describe the evolution process of natural gas pipeline leakage accidents (NGPLA) and assess their corresponding consequences and influencing factors quantitatively. Therefore, this study aims to propose a comprehensive risk analysis model, named EDIB (ET-DEMATEL-ISM-BN) model, which can be employed to analyze the accident evolution process of NGPLA and conduct probabilistic risk assessments of NGPLA with the consideration of multiple influencing factors. In the proposed integrated model, event tree analysis (ET) is employed to analyze the evolution process of NGPLA before the influencing factors of accident evolution can be identified with the help of accident reports. Then, the combination of DEMATEL (Decision-making Trial and Evaluation Laboratory) and ISM (Interpretative Structural Modeling) is used to determine the relationship among accident evolution events of NGPLA and obtain a hierarchical network, which can be employed to support the construction of a Bayesian network (BN) model. The prior conditional probabilities of the BN model were determined based on the data analysis of 773 accident reports or expert judgment with the help of the Dempster-Shafer evidence theory. Finally, the developed BN model was used to conduct accident evolution scenario analysis and influencing factor sensitivity analysis with respect to secondary accidents (fire, vapor cloud explosion, and asphyxia or poisoning). The results show that ignition is the most critical influencing factor leading to secondary accidents. The occurrence time and occurrence location of NGPLA mainly affect the efficiency of emergency response and further influence the accident consequence. Meanwhile, the weight ranking of economic loss, environmental influence, and casualties on social influence is determined with respect to NGPLAs.     

Risk assessment of safety level in university laboratories using questionnaire and Bayesian network

Accidents in university laboratories not only create a great threat to students’ safety but bring significant negative social impact. This paper investigates the university laboratory safety in China using questionnaire and Bayesian network (BN) analysis. Sixteen influencing factors for building the Bayesian net were firstly identified. A questionnaire was distributed to graduate students at 60 universities in China to acquire the probability of safe/unsafe conditions for sixteen influencing factors, based on which the conditional probability of four key factors (human, equipment and material, environment, and management) was calculated using the fuzzy triangular theory and expert judgment. The determined conditional probability was used to develop a Bayesian network model for the risk analysis of university laboratory safety and identification of the main reasons behind the accidents. Questionnaire results showed that management problems are prominent due to insufficient safety education training and weak management level of management personnel. The calculated unsafe state probability was found to be 65.2%. In the BN analysis, the human factor was found to play the most important role, followed by equipment and material factor. Sensitive and inferential analysis showed that the most sensitive factors are personnel incorrect operation, illegal operation, and experiment equipment failure. Based on the analysis, countermeasures were proposed to improve the safe management and operation of university laboratories.