A hybrid model for human factor analysis in process accidents: FBN-HFACS

Human factors are the largest contributing factors to unsafe operation of the chemical process systems. Conventional methods of human factor assessment are often static, unable to deal with data and model uncertainty, and to consider independencies among failure modes. To overcome the above limitations, this paper presents a hybrid dynamic human factor model considering Human Factor Analysis and Classification System (HFACS), intuitionistic fuzzy set theory, and Bayesian network. The model is tested on accident scenarios which have occurred in a hot tapping operation of a natural gas pipeline. The results demonstrate that poor occupational safety training, failure to implement risk management principles, and ignoring reporting unsafe conditions were the factors that contributed most failures causing accident. The potential risk-based safety measures for preventing similar accidents are discussed. The application of the model confirms its robustness in estimating impact rate (degree) of human factor induced failures, consideration of the conditional dependency, and a dynamic and flexible modelling structure.     

Community evacuation following a chlorine release, Mississippi

On 7th September 1986, four miles north of Collins, Mississippi, a train transporting chlorine derailed. Two cars ruptured and gas escaped. As a result, 100 families were evacuated. To study the evacuation process, we conducted person-to-person interviews with sixty-two families staying in the evacuation center. Only 52.5% of the families received their first directive to evacuate directly from police or other officials. Delays in evacuating tended to be shorter when people were warned by the police and were told the reason for evacuating. Lack of personal transportation and preexisting health problems resulted in delays in evacuation. Concerns about evacuation included fear of looting, lack of a place to go, lack of transportation, difficulty in moving with children and elderly persons, and the need to take care of pets. One third of the interviewees reported feeling panic. Community evacuation procedures would be improved if: (1) officials contact all households directly; (2) the warning message addresses people's concerns; and (3) transportation is provided.     

平原农区村民居住空间特征与迁居意愿——以江苏省淮安市为例

选择地处苏北平原农区的淮安市所有15510个自然村和872414户农户全样本入户调查数据为分析对象,采用占比统计法和GIS空间分析,对村民居住空间特征与迁居意愿进行研究。主要结论如下：（1）在村落层面,平均规模小,单村独户多且村落分散,多数自然村远离镇区,近一半自然村位居“九靠近一滞洪”区域内。该格局是自然地理条件和人文因素综合影响形成的。（2）在住房层面,农村老旧住房比例高,全市40%农户在城乡同时拥有住房,但在城镇拥有住房率与到城区距离呈负相关,而农村住房空关率则呈现相反的空间格局。（3）在迁居意愿方面,54.1%的农户愿意集中居住且多意向实物安置,较低补偿标准和不便务农是不愿迁居的主要原因;移居城镇是货币安置农户的主要去向,留村和入镇集中居住是实物安置农户的主要去向。在迁居意向农户中,近90%选择政府统建方式,近80%愿意有偿退出宅基地和流转承包地。（4）村民居住空间特征和迁居意愿都存在明显的空间差异,两者之间存有内在联系且均受多种因素影响。     

废旧阴极-赤泥协同处理烧结熟料的溶出性能

采用XRF,ICP-MS,XRD及SEM-EDS检测手段,研究了废旧阴极-赤泥高温协同处理所得熟料的溶出性能.结果表明,Na₂CO₃浓度,温度,时间及液固比因素对Al₂O₃,Na₂O溶出率TFe₂O₃的富集效果的影响趋势一致.最适宜溶出条件为：Na₂CO₃ 30g/L,温度50℃,时间30min,液固比8.该条件下,熟料中Al₂O₃和Na₂O溶出率分别高达为87.41%和92.51%;相应的SiO₂和CaO溶出率仅为3.02%和0.36%,铁矿物几乎不溶.溶出渣中的TFe₂O₃含量从熟料中23.64%提高到39.89%,研究表明溶出工艺同步实现了熟料中铝、钠的回收和铁的富集.再者,处理后溶出渣较熟料减量近16%（以铝和钠溶出率测算）,且属于非危险性废物.     

盐酸萘乙二胺比色法测定大气中硝基苯、苯胺浓度的改进

本文探讨了盐酸萘乙二胺比色方法测定大气中硝基苯、苯胺浓度的最佳反应条件,如酸度、试剂加入量、反应温度、反应时间等。简化了过滤、洗涤操作,精密度高、显色稳定。     

环境样品中痕量锰的催化动力学测定法

对环境样品中痕量锰的催化动力学测定方法进行简要评述，引述文献１６篇。     

Cobalt in alluvial Egyptian soils as affected by industrial activities

ＩｎｔｒｏｄｕｃｔｉｏｎＩｎｎａｔｕｒｅＣｏｏｃｃｕｒｓｉｎｔｗｏｏｘｉｄａｔｉｏｎｓｔａｔｅｓ ,Ｃｏ2 + ａｎｄＣｏ3+ ,ａｎｄｆｏｒｍａｔｉｏｎｏｆｔｈｅｃｏｍｐｌｅｘａｎｉｏｎＣｏ(ＯＨ) - 3 ｉｓａｌｓｏｐｏｓｓｉｂｌｅ .ＤｕｒｉｎｇｗｅａｔｈｅｒｉｎｇＣｏｉｓｒｅｌａｔｉｖｅｌｙｍｏｂｉｌｅｉｎｏｘｉｄｉｚｉｎｇａｃｉｄｅｎｖｉｒｏｎｍｅｎｔ,ｂｕｔｄｕｅｔｏａｈｉｇｈｓｏｒｐｔｉｏｎｂｙＦｅａｎｄＭｎｏｘｉｄｅｓ,ａｓｗｅｌｌａｓｂｙｃｌａｙｍｉｎｅｒａｌｓ,ｔｈｉｓｍｅｔａｌｄｏｅｓｎｏｔｍ…     

高等院校教师有效激励机制的探讨

高等院校管理者必须思考如何更加有效的激励教师工作的积极性。高等院校教师的有效激励机制包括教师工作激励机制、教师成就激励机制和优秀教师的价值激励机制。三者有机结合，才能更好的促进教师的工作积极性、主动性、创造性，实现高等院校教师的自我价值。     

环境风险评价中若干问题探讨

社会经济的高速发展,也诱发了新的环境风险可能性的发生,特别是近年来的多种环境风险灾害事故的发生已引起了各国和国际组织的普遍关注。环境风险评价与环境风险管理已成为保护生态环境、维护公众健康的重要内容和制定决策的重要依据。文章结合目前环境风险评价的发展,探讨有关两大类环境风险评价(突发性与非突发性)以及环境风险评价与安全评价的区别,环境风险评价评估标准以及环境风险评价与城市环境管理的一些问题。