基于先验信息的产品质量安全多阶段抽样方法研究

产品安全问题与消费者的人身健康和财产安全息息相关,关系到社会和谐稳定和经济可持续发展,已经成为政府、企业和社会公众高度关注的重要问题之一。监管部门的监管方式是通过直接从市场上购买某类产品或其重要部件,采用质量安全检测技术,发掘产品存在的安全风险。为降低样本量,采用了产品安全事故先验信息分析方法,并给出了获取先验信息的重要途径。其次,在抽样方案设计过程中,将产品抽样检测分成多个阶段,利用分批购买-分批检测的方法,动态调整样品分配,提高了发现产品安全风险的效率。最后,利用消费者协会提供的电视机投诉数据,对以上多阶段目的抽样方案进行了示例说明。     

多重密度布点对土壤有机质空间特性的解析

论文以张家港市耕层土壤有机质（Soil organic matter, SOM）为目标变量,通过网格布点建立11种样点密度梯度,运用经典统计学和地统计学方法研究其空间特性随布点密度变化的趋势规律。结果表明,各密度下SOM的变异系数稳定在21.70%~23.12%之间,表现出中等程度变异;随着布点密度降低,SOM的块基比和分维数分别由37.52%、1.838波动降至18.70%、1.714,Moran’s I则由0.485起伏升高至0.857,相应地其空间变异中结构变异组分增多、随机变异贡献减少,空间自相关性也逐渐增强;SOM呈现西南-东北递减分布,随着样点密度减小,其空间格局趋于简化。论文以布点密度为视窗,揭示了SOM的多重空间尺度特征,可为解析土壤属性的层级结构提供参考依据。     

环境空气中短链氯化石蜡研究进展

短链氯化石蜡(SCCPs)是碳链长度为10至13个碳原子的正构烷烃氯代衍生物。SCCPs具有持久性、生物累积性、长距离迁移能力、以及毒性作用。SCCPs已被《关于持久性有机污染物的斯德哥尔摩公约》增列为持久性有机污染物审查范围内,引起了全球关注。SCCPs在环境各介质及生物体内均有检出,近年来,在室内空气和灰尘中也检出了大量SCCPs,其已成为人体暴露的一个重要来源。本文就大气环境及室内空气与灰尘中氯化石蜡(CPs)的采样与分析方法、污染水平与来源,及人体暴露概况进行了综合阐释,以期为我国大气和室内环境中CPs的研究工作提供参考。     

太湖流域农村公众环境意识案例研究

环境意识属上层建筑范畴,对环境行为具有指导意义。针对太湖流域日益严重的农业非点源污染,提高农村公众环境意识是控制该区水污染的主要措施之一。首次选取无锡市大浦镇14个行政村2.7万人为抽样框进行农村公众环境意识调查。结果表明：①居民对水环境污染的原因有了初步的认识,但与实际有明显偏差;②浅层次的局部的“日常生活环保型”环境意识依然存在;③居民在环保行为上为“政府依赖型”,整体参与环保意识不强;④居民获取环保信息渠道单一,政府对主要的信息发布渠道重视不足;⑤2003年该镇居民总支付意愿为55.3～98.2万元。     

Atmospheric particulate matter in Nigerian megacities

The paucity of data on air pollution indices in Nigeria prompted us to commence a national screening exercise regarding particulate matter loads. Six potential megacities (Aba, Abuja, Lagos, Kano, Maiduguri, and Port-Harcourt) representing the six geographical zones in Nigeria were chosen for the study. Sampling was achieved using a ‘Gent’ stacked filter unit sampler capable of collecting fractions of particulate matter with sizes of <10-μm and <2.5-μm simultaneously. The mean values for PM₁₀ are 550, 35, 87, 340, 246 and 130 μg m^?3 while for PM_2.5 the mean values are 100, 14, 25, 67, 20 and 30 μg m^?3 respectively for Aba, Abuja, Lagos, Kano, Maiduguri, and Port-Harcourt. Except for Abuja, the daily PM₁₀ mass loads exceeded the World Health Organization (WHO) guidelines daily limit where as the PM_2.5 values were within the WHO guideline limit. Their correlation matrix result indicates that some PM_2.5 fractions mass fractions were strongly correlated than the PM₁₀ fractions probably due to their long range transport potentials. Further work is in progress to determine the elemental profiles of both particulate fractions collected.     

Air monitoring of solvent exposed workers with passive samplers in comparison to “biological monitoring (BM)"†

A study was performed comparing ambient air monitoring (AM) and biological monitoring (BM) in order to evaluate the reliability of passive sampling (PS) in occupational medicine.

Five groups of persons (total number = 188) exposed to tetrachloroethene, isopropanol, toluene, xylene and styrene at the workplace were examined.

AM was performed over several hours using one or two brands of passive samplers (Monitor 3500 and/or ORSA 5). BM includes the determination of the solvent and specific metabolites resp. in blood or urine samples taken at the end of workshift. On the basis of our results we recommend that PS can supply relevant data for the estimation of external exposure to several solvents like chlorinated‐ and aromatic‐hydrocarbons.     

谈特殊病区HIV患者集中静脉采血

目的总结高效率集中采集HIV患者静脉血标本.方法回顾性总结389例患者静脉采血,从采血前准备、怎样选择静脉、采血时的体位配合,到扎止血带、穿刺技巧、拔针,以及防标本溶血,预防职业暴露及交叉感染.结果一次性成功采血89.5%,标本符合要求100%,未发生职业暴露及交叉感染.结论从吸毒的艾滋病患者静脉采血难于常人,采血过程及其前后准备与处理均须?小心谨慎.参4.     

顺序进样流动注射光度法测定水中氨氮

将顺序进样与流动注射分光光度法相结合,研发了氨氮自动在线检测仪,用于测定水中氨氮质量浓度.实验结果表明:当进样量为0.39 mL、显色剂体积为0.33 mL、停留时间为5 min、载流液流量为2.0 mL/min时,氨氮质量浓度p与吸光度A在氨氮质量浓度为0～ 15.00 mg/L的范围内呈良好的线性关系,标准工作曲线方程为A=0.01929+ 0.2362,相关系数为0.9993(n=11);检出限为0.020 mg/L;相对标准偏差为0.50％～2.38％;实际水样的加标回收率为94.5％～106.0％.     

A foundation for developing a methodology for social network sampling

Researchers are increasingly turning to network theory to understand the social nature of animal populations. We present a computational framework that is the first step in a series of works that will allow us to develop a quantitative methodology of social network sampling to aid ecologists in their social network data collection. To develop our methodology, we need to be able to generate networks from which to sample. Ideally, we need to perform a systematic study of sampling protocols on different known network structures, as network structure might affect the robustness of any particular sampling methodology. Thus, we present a computational tool for generating network structures that have user-defined distributions for network properties and for key measures of interest to ecologists. The user defines the values of these measures and the tool will generate appropriate network randomizations with those properties. This tool will be used as a framework for developing a sampling methodology, although we do not present a full methodology here. We describe the method used by the tool, demonstrate its effectiveness, and discuss how the tool can now be utilized. We provide a proof-of-concept example (using the assortativity measure) of how such networks can be used, along with a simulated egocentric sampling regime, to test the level of equivalence of the sampled network to the actual network. This contribution is part of the special issue “Social Networks: new perspectives” (Guest Editors: J. Krause, D. Lusseau and R. James).