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.     

水体及沉积物氮磷水平对附植藻类的影响

为了探讨湖泊富营养化过程中沉积物及水体氮、磷浓度对附植藻类的影响,通过室内模拟实验,研究了水体及沉积物氮、磷升高对苦草(Vallisnerianatans(Lour.) Hara)上附植藻类生长、群落组成及其体内氮、磷含量的影响.结果表明,在实验条件下,随着水中氮、磷含量升高,附植藻类生物量及附植藻类氮、磷含量均呈极显著增加(p0.01).随着水体可获得的氮、磷浓度升高,附植藻类的相对丰度有所变化,舟形藻(Navicula)、小球藻(Chlorella)及微囊藻(Microcystis)相对丰度随着氮、磷水平的升高而下降,直链藻(Melosira)则相反,但舟形藻、直链藻、微囊藻、小环藻(Cyclotella)和小球藻均为群落的优势属种.沉积物氮、磷含量升高对附植藻类生物量、优势种丰度及群落氮、磷含量影响较小,均未达到显著水平(p0.05).在实验条件下,沉积物氮、磷含量对附植藻类影响不大,而水体氮、磷浓度升高显著地促进了附植藻类生长.研究结果也为解释富营养化湖泊沉水植物衰退及消亡提供了一定的科学依据.     

建立锡山市跨行政区水域边界监控点的必要性和可行性

分析了建立锡山市跨行政区水域边界监控点的必要和可行性，并阐述了建立锡山市排污总量控制体系的重要性，以便提高整个区域的水环境质量。     

我国城市降雨径流污染控制模式探讨

随着城市的发展与点源污染控制的不断完善,城市降雨径流污染日益突出,对城市水体构成严重威胁,必须得到有效的控制。对国内外城市降雨径流污染控制模式进行了比较,并结合我国的实际情况,首次提出了双重控制模式,以期为我国城市降雨径流污染的控制与决策提供参考和借鉴。     

九龙江流域水体有机污染物背景调查方法

阐述了九龙江流域水体有机污染物背景调查的重要性和必要性,比较详细地论述了调查方案的制定方法、分析方法的确立、监测过程中的质量控制和质量保证措施等。     

应用浮动生物滤清器除藻研究

根据浮游植物（藻类）与浮游动物（轮虫类）之间的生态食物链关系，Ｅｌｔｏｎａｉａｎ金字塔风言风语服动生物滤清器”（ＦＢＥ）、在该设备化虫（类）创造了一个生长、系列和栖息的地方，并让它澡类，应用该设备在不同地点进行了实际观测试验，其除藻效率达到８４％～９３％。     

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。     

粉煤灰/工业污泥烧结陶粒的制备与应用

以粉煤灰和工业污水处理站的剩余污泥为主要原材料，采用烧结法研制复合陶粒。分析了不同配方和不同烧结温度对陶粒性能的影响，以陶粒吸水率．容重为评价指标确定最佳配比和最佳烧结温度。提出用陶粒铺设景观水底，治理城市水体．并对其进行了可行性分析。粉煤灰／污泥陶粒的容重为0．79～0．9g／cm^3，吸水率为68．95％-80．01％。陶粒对水中氨氮和总磷吸附容量分别为0．03～0．05mg／g和0．01-0.02mg／g。