地质样品中27项元素的粉末压片法x射线荧光光谱测定

本文报导了用x射线荧光光谱法—次粉末压片制样同时测定Na. Mg. Al. Si.P. S. K. Ca. Ti. V. Cr. Mn. Fe. Co. Ni. Cu. Zn. Rb. Sr. Y. Zr. Nb. Ba. Hf. Pb. Th. U等27项元素的快速分析方法。从理论上提出了新的基体效应学校正模式,首次引入了非荧光分析的物质(筒称NFAM)的新概念;并计算了理论α系数,使理论α系数在粉末压片法x射线荧光分析中获得了应用。本方法测定的对象可以是岩石,土壤和水系沉积物等地质样品。     

孟连,丽江地震前云南天文台时纬残差异常

本文分析了云南天文台光电等高仪自有观测以来的时纬残差异常与云南及其周邻地区大地震的对应关系；并报导了孟连、丽江地震前云南天文台的时纬残差均有明显异常。这再次证明时纬残差的明显异常可为台站周围的强震预测提供可靠信息     

基于神经网络的重大危险源动态分级研究

利用自组织神经网络对重大危险源进行动态分级研究，介绍了神经网络的模式聚类即分级法的自组织学习过程和算法，克服了以往危险源分级方法的某些局限性。在计算机上进行的模拟计算表明：基于自组织神经网络的重大危险源动态分级方法是合理可行的     

浑河主要污染指标特征性分析

利用1995年至2010年浑河干流7个常规监测断面的历年监测数据,通过统计分析确定浑河水质的主要污染指标为氨氮、总磷（TP）、化学需氧量（COD）和生化需氧量（BOD）。并指出1995～2000年间,浑河有机污染突出,2000年以后,浑河水质氮、磷污染更为突出,有机污染有所改善。并详细分析了这四项主要污染指标的时间及水期间分布规律,为浑河流域水污染治理及编制流域规划提供技术支撑。     

A Bayesian network-based approach for the assessment and management of ageing in major hazard establishments

Currently, there is an increasing attention towards ageing of industrial equipment, as the phenomenon has been recognised as a cause of severe accidents, recorded in the last years in many process establishments. Recent studies described ageing through a number of key-factors affecting the phenomenon by accelerating or slowing it down. The Italian Competent Authority for the prevention of chemical accidents (Seveso III Directive) adopted a short-cut method, accounting for the assessment of these factors, to evaluate the adequateness of ageing management during inspections at Seveso sites. In this paper, a Bayesian Network was developed, by using the data gathered during the first application of the short-cut method, with the aim to verify the robustness of the approach for ageing assessment and the validity of the a priori assumptions used in assessing the key-factors. The structure of the Bayesian network was established by using experts’ knowledge, whereas the Counting Learning algorithm was adopted to execute the parameter learning by means of the software Netica. The results showed that this network could effectively explore the complex logical and uncertain relationships amongst factors affecting equipment ageing. Results of the present study were exploited to improve the short-cut method.     

MFAM模型在河流水质污染模拟及预测中的应用

文中以时间序列分析为基础，介绍了均值生成函数这一崭新概念，并且经成份因子提取分析推导建立了模拟序列的数字模型（简记为MFAM），经对黄河下游花园口断面的1988-1989年实测水质污染指标溶解氧（DO），氨氧，化学耗氧量（COD），五日生化需氧量（BOD5）等序列模拟，结果表明MFAM模型能较好地模拟河流水质污染指标的变化趋势，拟合平均误差只有5.2-6.4%，MFAM模型应用于预测1990-1991年水质污染指标变化，结果表明预测精度达85%以上，文中最后得出结论：MFAM模型应用于河流污染模拟和预测，是完全可行且十分方便。     

建立我国重大事故预防控制体系之探讨

简述了我国重大工业事故发生的主要原因，提出了建立重大事故预防控制体系的建议，制定《重大事故预防和控制法》，实行重大危险源上报、登记、评价、分级监察管理，建立国家、省、市三级重大事故应急反应系统和重大危险源动态监控网络系统。     

Major hazards—Thinking the unthinkable

It is a common experience that public administrations tend to shy away from the explicit acknowledgment of quantitative risk levels. Faced with extreme concentrations of population and of industrial activities, including LPG and liquid chlorine storage, within a very small land area, Hong Kong has faced up to the issue of major man-made hazards by “thinking the unthinkable” and adopting explicit risk guidelines. This article describes how these guidelines were developed and the arguments that led to their adoption. It is emphasized that the risk guidelines are not rigid standards but simply a method of focusing decision making and ensuring that any decision to contravene the guidelines is taken at an appropriately senior level in the administration. The way in which the guidelines have been incorporated intimately into the planning and decision-making process is described and details are given on how this has led to the implementation of a variety of measures that have greatly reduced both societal and individual risk from certain types of chemical storage and chemical processing installations in Hong Kong. The opinions in this paper represent the views of the authors and not necessarily those of the Hong Kong Government.     

论我国重大危险源辨识标准

简要介绍了国外重大危险设施的辨识标准研究情况,并结合我国重大危险源普查试点工作的初步辨识标准,以及几个试点城市普查的数据分析,提出了我国重大危险源辨识最小标准的建议