基于硫碳同位素研究南京北郊冬季霾事件中PM2.5来源

2015年12月27日—2016年1月6日,针对南京北郊地区一次霾事件所采PM_(2.5)样品,测定样品中水溶性离子、硫同位素与碳同位素组分含量。水溶性离子研究结果表明:该次霾事件以二次污染为主且移动源占主要地位。硫同位素分析结果表明:硫酸盐的δ~(34)S(SO_4~(2-))值的范围为4.4‰~6.8‰,平均值为5.7‰±0.7‰(n=11),结合该地潜在硫源可知,此次霾事件中硫酸盐气溶胶主要来源为机动车尾气及煤炭燃烧。PM_(2.5)中的δ~(13)C值变化范围为-28.43‰~-24.94‰,平均值为-26.62‰±1.11‰,说明碳质污染物来源主要为机动车尾气、燃煤。此外,硫、碳同位素具有较好的负相关性,结合潜在硫源、碳源可知,2016年1月1日之前,南京北郊地区大气污染源以汽油车尾气排放为主;1月1日之后大气污染源以柴油车尾气和燃煤排放为主。     

基于31个省份事件史分析的河长制创新与扩散的影响因素

利用事件史分析(EHA)模型对河长制政策2010～2016年在省级层面的扩散进行实证研究,结果表明:水污染越是严重的地区,越倾向于采纳河长制,平均而言,人均水污染排放量每增加一个单位,一个省份河长制政策得到采纳的优势会增加30.2％;财政自给率在水污染严重程度与河长制采纳之间具有负向调节效应,即面临严重的环境污染,财政...     

Characterization and prediction of highway runoff constituent event mean concentration

Highway stormwater runoff quality data were collected from throughout California during 2000-2003. Samples were analyzed for conventional pollutants (pH, conductivity, hardness, and temperature); aggregates (TSS, TDS, TOC, DOC); total and dissolved metals (As, Cd, Cr, Cu, Ni, Pb, and Zn); and nutrients (NO(3)-N, TKN, total P, and ortho-P). Storm event and site characteristics for each sampling site were recorded. A statistical summary for chemical characteristics of highway runoff is provided based on statewide urban and non-urban highways. Constituent event mean concentrations (EMCs) were generally higher in urban highways than in non-urban highways. The chemical characteristics of highway runoff in California were compared with national highway runoff chemical characterization data. The results obtained in California were generally similar to those found in other states. The median EMC for Pb measured in studies conducted in previous decades was much higher than the current median Pb EMC in California. The lower Pb EMC in California compared to previous highway runoff monitoring is believed to be due to the elimination of leaded gasoline. An attempt was also made to identify surrogate constituents within a general family of water quality categories using Spearman correlations and selected pairs with Spearman coefficients greater than 0.8. The strongest correlations were observed among parameters associated with dissolved minerals (EC, TDS, and chloride); organic carbon (TOC and DOC); petroleum hydrocarbons (TPH and O & G); and particulate matter (TSS and turbidity). Within the metals category, total iron concentration was highly correlated with most total metal concentrations. The correlations between total and dissolved concentrations were all less than 0.8, even between total and dissolved concentrations of the same metals. Multiple linear regression (MLR) analyses were performed to evaluate the impact of various site and storm event variables on highway runoff constituent EMCs. Parameters found to have significant impacts on highway runoff constituent EMCs include: total event rainfall (TER); cumulative seasonal rainfall (CSR); antecedent dry period (ADP); contributing drainage area (DA); and annual average daily traffic (AADT). Surrounding land use and geographic regions were also determined to have a significant impact on runoff quality. The MLR model was also used to predict constituent EMCs. Model performance determined by comparing predicted and measured values showed good agreement for most constituents.     

地震类突发事件中的公共财政应急机制

通过对我国地震应急组织体系及财政应对地震类灾害的流程分析,结合国外应对地震类突发事件的成功经验,分析了我国公共财政应对地震类灾害事件中存在的不足,最后通过对应急管理主体机理特征的分析,提出了公共财政应对地震类突发事件的五大机制,即公共财政日常运行机制、震前预警防范机制、震时响应机制、震后恢复重建机制和财政监督检查机制.     

Dynamic failure assessment of an ammonia storage unit: A case study

Chemical Process Industries usually contain a diverse inventory of hazardous chemicals and complex systems required to perform process operations such as storage, separation, reaction, compression etc. The complex interactions between the equipment make them vulnerable to catastrophic accidents. Risk and failure assessment provide engineers with an intuitive tool for decision making in the operation of such plants. Abnormal events and near-miss situations occur regularly during the operation of a system. Accident Sequence Precursors (ASP) can be used to demonstrate the real-time operating condition of a plant. Dynamic Failure Assessment (DFA) methodology is based on Bayesian statistical methods incorporates ASP data to revise the generic failure probabilities of the systems during its operational lifetime.In this paper, DFA methodology is applied on an ammonia storage unit in a specialized chemical industry. Ammonia is stored in cold storage tanks as liquefied gas at atmospheric pressure. These tanks are susceptible to failures due to various abnormal conditions arising due process failures.Tank failures due to three such abnormal conditions are considered. Variation of the failure probability of the safety systems is demonstrated. The authors use ASP data collected from plant specific sources and safety expert judgement. The failure probabilities of some safety systems concerned show considerable deviation from the generic values. The method helps to locate the components which have undergone more degradation over the period and hence must be paid attention to. In addition, a Bayesian predictive model has been used to predict the number of abnormal events in the next time interval. The user-friendly and intuitive nature of the tool makes it appropriate for application in safety assessment reports in process industries.     

远洋船员的机体功能状态与适航性研究

将远洋航行船员的内在和外在环境作为人因失效根原因和关键环节进行分析研讨,指出其对船员机体功能造成的负面影响,而产生失效行为,造成船舶事故.基于马尔可夫链原理,建立远洋船员的机体功能状态在航行链中的变化过程矩阵.根据对中远集团部分远洋船员统计数据,建立机体状态初始向量,结合过程矩阵进行仿真,结果显示船员从第5个月时,开始出现再适应期(休船期).考虑到航运业具体特点,远洋船员的航行时间以4个月为益,不要超过6个月.从船员机体状态适航性的角度,根据船员的状态向量的转换结果,分析和预测船员的适航性,对船员进行合理配置能有效提高船舶的航行安全.     

基于企业职业伤害风险和违法处罚的分级监察模型研究

对企业实施分级监察的基础是企业监察级别的确定。分级监察是以“风险优先”为基本的原则风险管理思想。本文在对我国现有的安全生产法规政策和安监部门的部分执法文书以及企业违法处罚情况进行分析总结的基础上,建立了企业违法处罚情况的量化模型,并以企业职业伤害风险和企业违法处罚结果为影响因素,建立了二元分级监察模型。运用所建立的模型对辽宁省某市的159家调研企业的监察级别进行了划分,并对分级结果进行了简要分析。     

煤矿本质安全化管理体系建立及其应用的探讨

运用安全系统工程中的事故树理论,以瓦斯爆炸事故为例分析了煤矿中的7类主要事故,并得出相应的事故树。通过对事故树的定性分析,得出事故树的最小径集和基本事件重要度排序。进而可预测基本事件的发生所能够导致的结果,可根据各基本事件的重要度排序,确定避免发生事故应采取的基本措施,并建立了煤矿本质安全化管理体系。设计出煤矿本质安全化管理体系的软件,并以瓦斯爆炸事故为例,分析了该管理体系在实际中的应用效果。     

复杂人机系统班组人误模型与量化分析

讨论一个班组人员行为模型,即包括:任务模型、事件模型、班组模型和人-机交互模型4个模块,并用其模拟和分析事故状态下的运行班组对异常事故的响应过程;利用班组认知过程流程图模型表征事件发展过程中班组成员对事故的征兆识别、决策、计划和行动执行的响应过程;采用CREAM的量化分析技术,对核电站的蒸汽发生器管道破管事故的班组认知失误事件进行量化分析。