A microcomputer-based emergency response system*

A microcomputer-based system was developed to provide local officials responsible for disaster management with assistance during the crucial period immediately following a disaster, a period when incorrect decisions could have an adverse impact on the surrounding community.
While the paper focuses on a potential disaster resulting from an accident at a commercial nuclear power generating facility, the system can be applied to other disastrous situations. Decisions involving evacuation, shelter and the deployment of resources must be made in response to floods, earthquakes, accidents in the transportation of hazardous materials, and hurricanes to name a few examples.
As a decision aid, the system was designed to enhance data display by presenting the data in the form of representations (i.e. road maps, evacuation routes, etc.) as well as in list or tabular form. The potential impact of the event (i.e. the release of radioactive material) was displayed in the form of a cloud, representing the dispersion of the radioactive material. In addition, an algorithm was developed to assist the manager in assigning response resources to demands.
The capability for modelling the impact of a disaster is discussed briefly, with reference to a system installed in the communities surrounding the Indian Point nuclear power plant in New York State.
Results demonstrate both the technical feasibility of incorporating microcomputers indecision support systems for radiological emergency response, and the acceptance of such systems by those public officials responsible for implementing the response plans.     

Evacuation behavior and Three Mile Island

The responses of the residents to the nuclear power plant arcident at Three Mile Island, Pennsylvania illustrate the factors influencing pre-impact coping responses of populations exposed to technological hazards. Confusion itnd ambiguous information influenced both the decision to evaluate and to remain in place. Proximity to the facility, stage in life cycle and the actions of friends and neighbors influenced the decision to evacuate.     

混沌理论在事故分析及预测中的应用

在对江苏常州市某公司安全事故资料进行大量调查与统计的基础上,应用混沌理论分析了该公司安全事故的混沌特征,指出了事故对初始条件的敏感依赖性和事故的长期不可预测性。应用重构相空间理论对安全事故次数的时间序列进行了分析和预测。同时,还对安全事故统计资料进行了R/S分析,得出该时间序列以2 0 0 1年6月为界限,存在两个Hurst指数,H1=1.6 82 8和H2 =0 .2 936 ,表明在以3个月为时间统计尺度的条件下,事故发生次数在前一时间段整体表现为持久相关性,而在后一时间段表现为反持久相关性。预测与分析结果与实际情况符合较好,表明应用混沌理论进行事故分析与预测是可行的,反映了事故的发展趋势。     

安钢冶炼系统工伤事故统计与分析

安阳钢铁集团公司工伤事故统计分析表明，冶炼系统是发生事故较多的系统，各类工伤事故约占事故总数的38％。冶炼系统中，第二炼钢厂是安钢集团公司核心单位，工伤事故特点具有一定代表性。对该厂近10年工伤事故进行了统计分析，总结了事故规律，提出了加强和改进工作的建议和措施，对搞好钢铁冶炼的安全生产具有指导意义。     

Health effects from the nuclear fuel cycle and other sources in perspective

The data base for each process of the nuclear fuel cycle has been updated as a part of the Committee on Nuclear and Alternative Energy Systems (CONAES) at Brookhaven National Laboratory (BNL). The BNL Energy System Network Simulator (ESNS) was modified to accommodate the new data, and methodology was developed for estimating population dose and health effects resulting from atmosphere releases of radioactive materials from the nuclear fuel cycle.Estimates of population dose and health effects were made using these new CONAES emission data and the new model for three scenarios out to the year 2000: (1) no reprocessing; (2) reprocessing, 1-year cooling; and (3) reprocessing, 5-year cooling. Results indicate that radon emissions from mining and milling of uranium bearing ores will have greater impacts than any other component in the open nuclear fuel cycle. The estimated number of health effects will depend, to a large extent, on the lung model mechanism assumed to induce cancer; i.e., either the smeared or the unsmeared model. The smear model and the linear relationship predict for scenario 1, 630; for scenario 2, 949; and for scenario 3, 854 lung cancers, respectively, using the new CONAES data.Epidemiologic data from six United States counties were correlated using a new statistical model (described in the text) in order to test the validity of the lung model and the linear relationship. Results do not support the high lung cancer correlations expected from the unsmear model and the linear relationship; therefore, it is concluded that low-dose mechanisms may be different from those developed from high-dose data. The best place to look for effects of low-dose radiation may be the less developed countries because of a reduction in the noise level caused by chemical pollutants.     

A criterion for developing credible accident scenarios for risk assessment

Maximum credible accident analysis is one of the most widely used concepts in risk assessment of chemical process industries. Central to this concept is the aspect of ‘credibility’ of envisaged accident scenarios. However, thus far the term credibility is mostly treated qualitatively, based on the subjective judgement of the concerned analysts. This causes wide variation in the results of the studies conducted on the same industrial unit by different analysts.

This paper presents an attempt to develop a criterion using which credible accident scenarios may be identified from among a large number of possibilities. The credible scenarios thus identified may then be processed for detailed consequence analysis. This would help in reducing the cost of the analysis and prevent undue emphasis on less credible scenarios at the expense of more credible ones.     

由两起事故谈多能源设备的能源隔离措施

分析了两起因能量意外释放导致的伤害事故,制定了具备多能源设备的锁定和挂牌的安全作业流程,并提出预防事故的措施.     

日本福岛核事故后的海洋放射性监测进展

全面总结日本福岛核事故后不同核素通过海洋途径排放的放射性总量;介绍多个国家开展的海洋放射性监测工作;基于海洋放射性本底与各国制定的限值标准,对福岛核事故后海洋放射性监测结果进行评价;最后对国内外的海洋放射性监测工作进行展望,从海洋环境安全角度出发,提出建立我国海洋放射性数据库的必要性.     

危险化学品事故多米诺效应历史数据研究评述

系统整理分析近十五年来国内外利用历史数据进行危险化学品事故多米诺效应研究的相关文献,介绍该领域研究的主要数据来源、主要研究方法,对主要研究内容进行交叉比对,整理挖掘包括危险化学品多米诺事故场景下的易发物质、高发区域/过程、主要事故致因、高频事故序列、致死概率5项事故内在规律并对规律的运用进行初步探讨。提出在后续研究中可以从改进采样时间区间设计和进行细分事故场景研究作为该领域的完善方向。     

环境污染应急处置技术的CBR-MADM两步筛选法模型

突发环境污染事件进行应急处置时,需要在历史案例库和处置技术库的基础上通过筛选模型筛选出最适宜的应急处置技术.其中筛选的效率和准确性是构建技术筛选模型的首要因素,目前尚无较为满意的解决方案.本文结合案例推理技术(CBR)和模糊多属性群决策模型(MADM)的优势,建立了环境污染应急处置技术的CBR-MADM两步筛选法模型:第1步,先利用基于熵权G1法的CBR推理从案例库中匹配案例,再从相似度最高的几个案例中提取应急处置技术作为备选技术;第2步,利用MADM对备选技术进行筛选和决策.CBR-MADM两步筛选法既充分利用了历史处置经验,又极大地提高了应急处置技术的筛选速度和效率.将该方法应用于2012年底山西长治浊漳河苯胺泄漏污染事件中,成功筛选出“投加混凝剂-活性炭坝拦截”技术,同实际情况吻合,验证了其适用性和可行性.