An extension of Multiple Greek Letter method for common cause failures modelling

Common cause failure describes a condition where several components share the same source of failure that causes them to fail or become unavailable simultaneously. The objective of this paper is to present an improved approach to common cause failure modelling within reliability analyses. The currently used methods allow one component to share common characteristics with only one group of components, which may be affected by the same source of failure. Therefore, an improved method was developed, where components can be assigned to several groups of components that are susceptible to faulty operation with respect to their similar characteristics. A mathematical derivation of the method is presented and the theory is applied to smaller theoretical samples and to a simplified real example. The results show that the new method enables a more detailed reliability analysis. The results prove that consideration of common cause failures using the improved method may decrease the system reliability compared to traditional common cause failure consideration. The system reliability decreases more, if the redundant components have more similarities and are therefore assigned to several common cause failure groups.     

大气环境质量灰色聚类关联分析法的应用研究

在讨论大气环境质量灰色聚类关联评价法的基础上,通过应用实例和与灰色聚类法及灰色关联法的比较分析,验证了这种评价法的合理性和可靠性。     

一种改进的灰关联分析法在水质评价中的应用

灰关联分析法已被广泛应用于水质评价结论的定量化,但其存在不同层次上的缺陷;为此本文对其进行了改进.先将各断面的多个污染指标分成几个低层次子集,将其元素归一化后得出相应的关联系数,通过赋予一定权重求出低层次子集的关联度,最后求出较高层次的关联度,并列出关联系数矩阵.这样可以容易地看出各断面水质属于哪个级别.此外,通过一应用实例并与现已流行的众多灰关联改进方法进行了比较,论证了这种改进方法的优越性.     

环氧乙烷生产装置的安全分析与评价

综合运用道化学公司火灾、爆炸危险指数评价法,事故树分析以及事件树分析对环氧乙烷生产装置进行安全评价,定量地得出装置的危险程度,定性地分析了各危险因素的大小以及系统中各元件的故障率对事故发生概率的影响程度,并提出了改进措施.结果表明,该装置的危险程度很大,必须加强安全生产管理,采取有效措施控制氧气的浓度,从而降低危险性等级,保证生产安全.     

武汉市某区域大气颗粒物的测定与分析

采用电感耦合等离子体原子发射光谱法对TSP环境样品和尘源样品中的S、Si、Ti、Al、As、Ca、Pb、V等30余个元素组份进行分析并计算出各元素的含量,得到本区域大气环境TSP和污染尘源元素特征谱,并通过比较微波消解与加热消解两种方法的优劣,确定出较适应消解方法.结果表明,该区域中的A区污染源主要来自道路交通尘源和土壤尘源,B区污染源来自土壤尘源和建筑尘源.     

氯气泄漏后毒害区的估算及泄漏的处置

运用毒害区计算方法对本部贮存的氯气泄漏后扩散的半径进行估算,同时以扩散的半径作参考,提出氯气泄漏的处置方法.     

优化、RSA和GLUE方法在非线性环境模型参数识别中的比较

参数识别是数学模型应用的前提,本文对非线性环境模型常用的3种参数识别方法进行了比较分析.优化方法是出现最早、应用最广泛的参数识别方法之一.但在观测误差存在的情况下,采用优化方法识别的最优参数进行模型预测,存在很大的决策风险.考虑到这种不足,RSA方法和GLUE方法摒弃了识别单一最优参数的传统思维,而把识别参数扩大到多点组成的参数集.RSA方法与GLUE方法不同的是,RSA方法把可行的参数点看成是同等接受的,而GLUE方法则根据模拟值与实测值的差别,确定其似然度,代表参数的可信度水平.除参数识别以外,RSA方法和GLUE方法也是全局灵敏度分析的重要工具.     

再生水中优先控制有毒污染物的筛查方法

建立了一种适用于再生水中优先控制有毒有机污染物筛查的方法.针对样品前处理方法中的固相萃取柱的选择和洗脱剂条件等进行了优化设计,利用保留时间锁定和谱图解卷积技术分辨复杂系统中的目标污染物,并利用有毒化合物数据库进行有毒污染物甄别.结果表明,采用C18柱串联HLB柱的方法进行富集,用1:1(V/V)的正己烷/二氯甲烷混合溶剂和4:1(V/V)的二氯甲烷/甲醇混合溶剂进行分级洗脱的前处理方法,对分配系数(logKow)在1.48~6.41之间的30种化合物平均回收率在52.1%~138%之间,相对标准偏差值均<13.6%.将该方法应用于天津空港地区再生水中有毒有机污染物的筛查,2007~2008年度2次采集样品分别筛查出30种有毒有机污染物,其中有7种属于《城镇污水处理厂污染物排放标准》中已列入监管范围的污染物,11种未列入排放标准监测范围.比较污水处理厂进、出水以及地表水中检出污染物,发现现有污水处理工艺对筛查出的优先有机污染物处理效果不佳.     

Estimating the uncertainty of pesticide residue analysis from mango using multi-residue analysis and validation of method

Validation of method was performed for various pesticides on mango matrix involving the processing of sample at ambient and cryogenic conditions. The linearity, limits of detection, repeatability, matrix effect, and recovery were studied as the aspects of method validation. The effect of matrix on recovery was found to be medium (20–50%) and strong (>50%). After correction by matrix-matched calibration curves, the recovery was calculated to be in the range of 80–107% and 80–105% at ambient and cryogenic processing, respectively. The precision estimated for the recovery of pesticides obtained from both solvent- and matrix-matched calibration curves and at both the processing conditions was determined to be >20% except for chlorpyrifos and atrazine. The uncertainty established for the methodology was >20%, which substantiates the efficiency and reliability of methodology used for pesticide residue analysis in mango in this study.     

A simple and robust method for determination of neem (Azadirachta indica A. Juss) oil in neem oil coated urea

The production of neem oil coated urea (NOCU), a technology developed by the Indian Agricultural Research Institute, has been grown to over 2.0 million tons per year. The estimation of neem oil content in NOCU is important due to its significance in ensuring agronomic efficiency. Therefore, this study was taken up to develop a simple method for the determination of neem oil in NOCU. The procedure involves extraction of neem oil from NOCU; saponification of extracted oil; oxidation of released glycerol to formaldehyde, and subsequent conversion of formaldehyde to a dihydrolutidine derivative. Its concentration was determined spectrophotometrically. The recoveries of neem oil from NOCU with oil load of 500 and 1000?ppm were 87.6?±?3.0% and 90.0?±?4.8% respectively with direct method; and improved to 92.6?±?4.0% and 96.7?±?3.8% after including the in situ purification. A simple method based on the Hantzsch reaction was developed for the determination of neem oil in NOCU. This method is superior to earlier methods in terms of sensitivity, simplicity, and time required.