炼油污水的深度处理

对炼油污水深度处理常用技术——过滤、膜分离、化学氧化技术进行了详细的论述，并结合中试试验，对动态砂滤系统、PAN膜处理系统和高级氧化系统处理炼油厂二级排放水的适用性进行了论证。     

新疆近3年大风灾害灾度分析与区划

新疆是我国大风灾害比较严重的地区之一.已往的大风灾害研究主要从自然学科角度进行较多,分析了大风致灾因子的主要来源、地理分布、强度、监测等,但缺乏从社会学科角度分析研究.本文以新疆2001～2003年发生的大风灾例为研究对象,以新疆15个地州市为研究单位,根据可操作性、可比性、可传递性原则选定的3种确定灾度指标的因子,采用综合评判的方法对各地州市大风灾害灾度进行计算和定量评价,并根据最大隶属原则把15个地州市分别划分为3个区域级重度风灾区、4个区域级一般度风灾区和8个区域级轻度风灾区.     

Lessons after Bhopal: CSB a catalyst for change

The Bhopal tragedy was a defining moment in the history of the chemical industry. On December 3, 1984, a runaway reaction within a methyl isocyanate storage tank at the Union Carbide India Limited pesticide plant released a toxic gas cloud that killed thousands and injured hundreds of thousands. After Bhopal, industrial chemical plants became a major public concern. Both the public and the chemical industry realized the necessity of improving chemical process safety.

Bhopal served as a wake-up call. To prevent the same event from occurring in the United States, many legislative and industrial changes were invoked—one of which was formation of the U.S. Chemical Safety and Hazard Investigation Board (CSB). The ultimate goal of CSB is to use the lessons learned and recommendations from its investigations to achieve positive change within the chemical industry—preventing incidents and saving lives.

Although it seems clear that the lessons learned at Bhopal have improved chemical plant safety, CSB investigations indicate that the systemic problems identified at Bhopal remain the underlying causes of many incidents. These include:

• Lack of awareness of reactive hazards.

• Lack of management of change.

• Inadequate plant design and maintenance.

• Ineffective employee training.

• Ineffective emergency preparedness and community notification.

• Lack of root cause incident investigations and communication of lessons learned.

The aim of this paper is to present common themes from recent cases investigated by CSB and to discuss how these issues might be best addressed in the future.

This paper has not been independently approved by the Board and is published for general informational purposes only. Any material in the paper that did not originate in a Board-approved report is solely the responsibility of the authors and does not represent an official finding, conclusion, or position of the Board.     

利用GPS-RTK技术进行既有线曲线整正测量研究

既有线曲线整正测量是铁路既有线提速改造和工务部门大修设计的主要任务之一。需要改造的既有铁路一般均为繁忙干线,并行车密度较高。传统的测量方法是将测量仪器安置在线路上,这样不仅在作业过程中受行车干扰,作业效率也不够高,而曲线地段通视条件差,作业难度是相当大的。同时,作业人员的安全问题也变得十分突出。笔者提出采用先进的GPS-RTK技术,对既有线曲线整正进行测量。采用该技术不仅能克服气候条件的限制,而且能以较高的频率,较高的精度测定互不通视的各被测点的坐标,克服了传统的作业方法要求置镜点与被测点之间必须通视、作业受天气影响、存在误差累积、内业计算工作量大等缺陷。该法在保证作业人员安全的前提下大大提高作业效率。     

Reliability and validity of the Multidimensional Driving Style Inventory in Chinese drivers

Objective: The Multidimensional Driving Style Inventory (MDSI) has been widely used in assessing the associations between driving styles and traffic violations and accidents in different cultural contexts. Due to the lack of a valid instrument to assess driving style, studies concerning driving style and its influence factors are limited in China. Thus, this study aimed to adapt and validate a Chinese version of the MDSI.

Methods: Seven hundred and sixty drivers aged from 19 to 60 years old were asked to complete the MDSI and a personality scale (trait anger, sensation seeking, altruism, and normlessness). Exploratory factory analysis (EFA) and confirmatory factor analysis (CFA) were used to obtain the factorial structure of the MDSI. The external validity of the MDSI was then evaluated by examining the associations between driving styles and personality traits, demographic variables, and traffic violations and crashes.

Results: EFA revealed a 6-factor structure of the MDSI (i.e., risky, anxious, angry, distress reduction, careful, and dissociative driving styles). CFA confirmed that the model fit of the MDSI was acceptable. The MDSI factors were moderately or weakly correlated with trait anger, sensation seeking, altruism, and normlessness. Significant gender and age differences in driving styles were found. Moreover, drivers who had traffic violations or crashes in the past year scored higher on risky and angry driving styles and lower on careful driving style than those who had not have traffic violations or crashes.

Conclusions: The Chinese version of the MDSI proved to be a reliable, valid, and highly useful instrument. It could be used to assess Chinese drivers who are at risk due to their maladaptive driving styles.     

Applicability of hybrid bionic optimization models with kernel-based extreme learning machine algorithm for predicting daily reference evapotranspiration: a case study in arid and semiarid regions,China

Environmental Science and Pollution Research - The accurate prediction of daily reference crop evapotranspiration (ETO) enables effective management decision-making for agricultural water...     

Research status,challenges and future prospects of renewable synthetic fuel catalysts for CO2 photocatalytic reduction conversion

Environmental Science and Pollution Research - In recent years, with global climate change, the utilization of carbon dioxide as a resource has become an important goal of human society to achieve...     

The effectiveness of the e-money incentive mechanism in promoting separation of recyclables at source in Malaysia

Journal of Material Cycles and Waste Management - A new concept of a reward system by two e-money-incentive systems aimed at improving separation at source toward reducing residual waste generation...     

Analysis of urban carbon emission efficiency and influencing factors in the Yellow River Basin

Environmental Science and Pollution Research - The Yellow River Basin is an energy-rich area. The low-carbon development of the Yellow River Basin is one of the ways to achieve ecological...     

南京北郊春季气溶胶吸湿性分析

大气气溶胶的吸湿性对气溶胶粒子的谱分布、云凝结核形成、气候强迫、人体健康等均有重要的影响.利用吸湿性串联差分迁移率分析仪(HTDMA)在2014年4月16日~5月21日对南京北郊的大气气溶胶吸湿特性进行观测.30~230 nm气溶胶粒子在90%相对湿度下的吸湿增长观测结果表明,气溶胶粒子的吸湿增长因子平均概率分布函数(GF-PDF)呈现明显的双峰分布,即一个占主导地位的强吸湿模态,和一个相对较小但仍很明显的弱吸湿模态.对吸湿性的日夜对比分析发现,整体上白天的气溶胶粒子吸湿性大于夜间气溶胶粒子,白天强吸湿模态的粒子数目比例高于夜间,夜间气溶胶粒子的外混合程度更高.利用HYSPLIT模式对气溶胶来源分析结果表明,观测期间南京北郊主要受到3类气团的影响.其中西北大陆气团背景下爱根核模态粒子在经过大陆的长距离输送过程后,老化程度较高,吸湿性也更强.而对于积聚模态粒子,则为来自东方气团的粒子吸湿性更强,强吸湿模态粒子数目比例也较高.局地气团背景下气溶胶粒子在各粒径段都具有较高的强吸湿比例.