基于等级全息建模的输油泵机组风险根源辨识*

为“挖掘”输油泵机组风险根源,降低设备预知性维护难度,结合输油泵多准则风险评价,提出1种基于等级全息建模的输油泵机组风险根源辨识方法,运用等级全息建模方法将输油泵系统分解为泵体结构、管理因素、环境因素、操作因素、技术因素、运行因素、设备安装7个子系统进行定性和定量分析。结果表明:相比危险与可操作性分析（HAZOP）、事故树分析（FTA）等传统风险辨识方法,等级全息建模（HHM）对轴承等关键部件以及压力等运行参数的监测更为深入,能够有效辨识输油泵机组高风险情景,提升输油泵的风险辨识效率。     

System safety assessment using safety entropy

Safety assessment has a primary role in hazardous operations. Most studies on safety assessment focus on risk and accident modeling, in which safety is absent. These top-down methods are highly dependent on the occurred accidents to establish accidental scenarios, which may make the assessment approach lagging behind the evolving modern systems. Moreover, this “special to general” logic is scientifically suspect in safety assessment. There is a call for the development of safety assessment methods in the presence of system safety to complement risk-focused safety analysis. These methods should provide a framework based on a bottom-up approach to examine system safety from the operational perspective. This paper has attempted to provide a potential solution. In particular, a novel concept of safety entropy is proposed to integrate with The Functional Resonance Analysis Method (FRAM), which is used to form the qualitative understanding of a system. A formula consisted of safety entropy, functional conformability, and system complexity has been established to determine the spontaneity of the safety state-changing process. The proposed method is applied to the safety assessment of a propane feed-control system. The results show the applicability of the method. Nevertheless, the model still needs to be further improved to fulfill better support for safety-related decision problems.     

State of research on the automation of HAZOP studies

For more than 30 years, multiple research groups have worked on the automation of hazard and operability (HAZOP) studies, or more specifically on the hazard identification process. So far, very few of these approaches have been used in the chemical process industry. Automatic hazard identification is a knowledge-intensive process that demands high standards with regard to the way in which knowledge is stored and made available. There are various suitable approaches to the qualitative modeling of processes and plants, which are the foundation for reasoning systems that are used for the identification of hazards. Additionally, there are quantitative methods that are based on process simulations and can be used to identify potential hazards. The investigation of the state of research demonstrates that there are sophisticated technologies for automated systems that include powerful reasoning techniques. The benefits and shortcomings of existing technologies are discussed with regard to their industrial applicability. Often, the quality of the necessary specific and generic knowledge is not sufficient to detect potential hazardous events and operational malfunctions. Computer-aided HAZOP systems should be integrated with computer-aided design- or process simulation software using common data models based on the digital representation of the process plant. In order to be used by HAZOP practitioners automated systems need to be comprehensive, serve as specialized decision support systems, and be tested and evaluated using round robin tests.     

基于改进社会力模型的地铁大客流疏散能力研究*

为有效应对大客流情景下人群拥挤对地铁站正常运行带来的影响,采用社会力模型和Anylogic仿真软件,对地铁站大客流疏散能力进行建模和分析,从客观、主观、管理视角分析影响客流疏散能力的因素,基于改进社会力模型刻画行人行为,分析影响地铁车站疏散能力的3个关键因素,并以南宁地铁1号线朝阳广场站为背景进行研究。研究结果表明:行人密度是影响地铁站疏散能力的关键因素,出入口选择策略和行人亲属关系比例对疏散能力影响显著,研究结果可为地铁客流疏散提出针对性建议。     

基于复杂系统建模的水管理政策研究进展

基于Agent的建模方法（ABSS）通过自下而上的方式，考察系统中主体的不同状态和行为特征、主体与环境的作用、主体之间的作用，来表征系统的宏观特征，是进行复杂社会环境系统分析和政策研究的重要手段，在水资源、水环境管理系统中得到了有效的应用。本文在大量文献调研的基础上，讨论了ABSS建模方法的基本原理、主要特征、系统构成、分类方法和开发工具等特征，总结了其供水系统发展、水资源分配和流域水资源管理、农业土地和水资源利用、居民用水行为、农业污染控制及人类活动的水环境影响等方面的应用，分析了其在研究内容、研究方法、研究结果等方面的发展趋势，讨论了利用该方法研究我国水资源管理和水污染控制政策的必要性和重要性。     

南汇边滩的沉积特征和沉积物输运趋势

在对南汇边滩沉积物粒度特征进行分析的基础上,利用Gao Collins泥沙概率输运模型探讨边滩的沉积物输运趋势,结果表明：①沉积物中值粒径、分选系数和偏度的分布具有一致性,三者相关性较强;②边滩的沉积物粒度特征表现为正偏,分选性较差,分选系数值集中在2左右,沉积物相对较粗（中值粒径大于0.01 mm）的区域主要集中在没冒沙中部、南汇咀及卢潮港近岸,其它区域沉积物相对较细（中值粒径小于0.01 mm）;③将 Gao Collins的泥沙概率模型和南汇边滩的动力与沉积环境结合表明,沉积物在东滩的净输运趋势是由北向南输运。由于南滩的动力条件相对复杂,因此南滩沉积物的净输运趋势有待进一步分析。     

基于改进的SPAR-H化工实验室人因可靠性分析

近年来化工实验室事故屡禁不止,其中人的不安全行为是导致事故发生的主要原因.为评估实验人员可靠性,进一步管控化工实验室人的不安全行为,基于标准化工厂人因可靠性分析(SPAR-H)方法,结合化工实验室人因失误的特点,确定了更加适用于化工实验室的人因可靠性分析方法.首先依据"S-O-P"认知模型对人因失误类型进行划分;然后基...     

兰州冬季大气污染来源分析

利用WRF(天气研究与预报模式)输出的高分辨率气象数据驱动HYSPLIT_4.9(混合单粒子拉格朗日轨迹模式),结合PSCF(潜在源贡献因子)和CWT(权重浓度轨迹分析)模拟研究复杂地形下兰州城市尺度大气污染物局地输送特征、潜在源区及其对空气质量的影响. 结果表明:2002—2008年影响兰州城区冬季12月空气质量的轨迹可分为5类,输送类型可分为城区内输送和城区外输送. 第1、3类轨迹出现频率均大于20%且污染轨迹出现频率均大于38%,是污染物的主要输送路径,对应潜在源区为兰州城关区东北部和榆中县东部,这2个源区对ρ(PM₁₀)的影响最大,对ρ(SO₂)的影响最小,对ρ(PM₁₀)、ρ(SO₂)和ρ(NO₂)的贡献分别超过200、80和60 μg/m3. 来自榆中县的第4类轨迹和兰州西固区的第5类轨迹易造成大气重污染,而来自皋兰县的第2类轨迹属于清洁轨迹. 兰州冬季污染既受局地输送的影响,也与地面天气形势密切相关.      

Mass transport model of ions within biofilms under the effect of external field

A mass transport model was developed to predict the transport rate of ions within biofilms, which was experimentally verified using the fluxes of NH4^＋ and Ca^2＋ through the heterotrophic biofilms with the thickness varying from 230 to 1430μm under the effect of external field in the range of-20 V/m to 60 V/m. It is found that the result predicted by the model is in agreement with the experimentally obtained one, with the error less than 5 percent for the thin biofilms. The error increases with the increase of the biofilm thickness. The transport rate of ions caused by electric migration is affected by the charges, field strength, and biofilm thickness and so on.     

水溶性有机物对草萘胺在土壤中吸附与迁移的影响

采用批次吸附试验和土柱淋洗试验,研究了绿肥和污泥中水溶性有机物(DOM)对除草剂草萘胺在黄棕壤和石灰性潮土上吸附和迁移影响.结果表明,供试DOM均能明显降低草萘胺在2种土壤上的吸附,促进草萘胺的迁移,在黄棕壤上效果更明显.在所研究的草萘胺和DOM浓度范围内,绿肥DOM(GM)都比污泥DOM(SS)作用显著.草萘胺的吸附等温线可用Freundlich方程定量描述.绿肥DOM和污泥DOM可分别使黄棕壤中草萘胺吸附量比对照处理(不加DOM)减少22.9%和11.3%,使迁移出土体的草萘胺总量提高了73.42%和26.87%,而使潮土中草萘胺的吸附量减少了9.5%和6.5%,迁移出土体的草萘胺总量增加了43.54%和28.29%.因此,农业土壤中溶解性有机物对农药环境行为有一定影响.