变权综合法在航空公司风险评价中的应用研究

针对民航风险评价中大多数综合评价方法采取常权综合法,当评价指标体系中某些指标出现严重缺陷时,导致最终综合评价值与实际情况不符的现象,将变权综合法应用到民航风险评价中。给出变权综合法风险评价的基本步骤,以航空公司风险评价为例,建立评价指标体系,运用模糊数学知识对底层指标进行赋值,并对其进行标准量化,其次根据变权综合评价法的基本原理及民航行业高风险的特点,选择适合的状态变权公式,计算评价指标体系的状态变权及变权,最后由变权综合法的综合评价公式,计算出系统的风险评价值。通过与常权综合法的计算结果相比较,变权综合法能较好解决民航风险评价中常权综合法存在的问题,同时计算结果也验证了变权综合法的优越性、有效性和实用性。     

污水中喹诺酮类抗生素分布及与环境变量的相关性研究

利用固相萃取-高效液相色谱串联质谱法（SPE-HPLC-MS/MS）对广西九洲江地区的6个污水处理厂的进水和出水中的喹诺酮类抗生素（QNs）进行检测,分析不同处理工艺对QNs的去除情况,并对检出的QNs进行冗余分析,探究其与环境变量之间的相关性。结果表明,污水处理厂进水中诺氟沙星（NFX）检出浓度最高,其次是环丙沙星（CPX）、氧氟沙星（OFX）和恩诺沙星（EFX）,QNs在进水和出水时的质量浓度分别为252.1~1 374.9 ng/L和44.4~147.1 ng/L;污水中QNs的总去除率为66.6%~92.5%;Na⁺、K⁺和总有机碳（TOC）与多数QNs呈正相关关系,Ca²⁺、Mg²⁺、pH值与多数QNs呈负相关关系。     

Impact of bias in predicted height on tree volume estimation: A case-study of intrinsic nonlinearity

Bias originating from intrinsic nonlinearity in nonlinear models is caused by excess curvature in the solution locus of parameter estimates derived from least squares procedures. Bias due to intrinsic nonlinearity varies according to sample size as well as model specification. This paper analyses consequences of fractionising data into smaller sub-samples. Based on measurements of stem diameter and total tree height from the first Danish national forest inventory, it is demonstrated how data splitting at random may cause the intrinsic nonlinear curvature to exceed the critical F-value. Application of a Taylor-series expansion shows that, for all practical purposes, the bias in predictions of individual tree volume (based on stem diameter and tree height) is negligible. To minimize residual variance, intrinsic curvature and, in turn, prediction bias, it is recommended that data be stratified according to site conditions, stand characteristics or other relevant criteria. Finally, the preferred model should exhibit close-to-linear behaviour.     

Incentive compatibility tests of choice experiment value elicitation questions

This paper uses laboratory experiments with induced values to address fundamental issues related to the incentive compatibility of choice experiment value elicitation questions. In particular, we compare two- versus three-option choice sets and the effect of using alternative provision rules, including one where the outcome is influenced by both participant and “regulator” votes. We find the overall proportion of choices that are inconsistent with induced preferences is rather low. However, there are more deviations from induced preferences for two-option choice sets, and for alternatives to a simple plurality vote implementation rule. A multinomial probit analysis of choices in tandem with a mixed logit welfare analysis suggests there is a statistically significant but modest degree of bias towards selecting the status quo option.     

故障树可视化分析系统

论述了自行研制设计的可视化故障树分析系统的功能及程序结构与设计原理。该系统由故障树生成、故障树分析计算、文件输出和系统管理 4个模块组成 ,可使故障树生成与分析变得非常直观而简便 ,只需用鼠标在屏幕上绘制出故障树图 ,系统就能自动识别并进行定性与定量分析。     

Effects of Detectability on Estimates of Geographic Range Size in Bignonieae

Abstract: Extinction risk has not been evaluated for 96% of all described plant species. Given that the Global Strategy for Plant Conservation proposes preliminary conservation assessments of all described plant species by 2010, herbarium specimens (i.e., primary occurrence data) are increasingly being used to infer threat components from estimates of geographic range size. Nevertheless, estimates of range size based on herbarium data may be inaccurate due to collection bias associated with interspecific variation in detectability. We used data on 377 species of Bignonieae to test the hypothesis that there is a positive relationship between detectability and estimates of geographic range size derived from herbarium specimens. This relationship is expected if the proportion of the true geographic range size of a species that is documented by herbarium specimens is given by the product of the true geographic range size and the detectability of the species, assuming no relationship between true geographic range size and detectability. We developed 4 measures of detectability that can be estimated from herbarium data and examined the relationship between detectability and 2 types of estimates of geographic range size: area of occupancy and extent of occurrence. Our results from regressing estimates of extent of occurrence and area of occupancy on detectability across genera provided no support for this hypothesis. The same was true for regressions of estimated extent of occurrence on detectability across species within genera. Nevertheless, regressions of estimated area of occupancy on detectability across species within genera provided partial support for our hypothesis. We considered 3 possible explanations for this mixed outcome: violation of the assumption of no relationship between true geographic range size and detectability; the relationships between estimated geographic range size and detectability may be an artifact of a negative relationship between estimated area of occupancy and the sampling variance of detectability; detectability may have had 2 opposite effects on estimated species range sizes: one determines the proportion of the true range of a species documented by herbarium specimens and the other determines the distribution of true range size for the species actually observed with herbarium data. Our findings should help improve understanding of the potential biases incurred with the use of herbarium data.     

Insights from complete-incomplete brood sex-ratio disparity

An assertion deeply rooted in the ornithological literature holds that sex-specific mortality causes a sex ratio disparity (SRD) between complete and incomplete broods. Complete broods are thought to reflect the primary sex ratio before any bias introduced by developmental mortality. Contrary to this view, however, complete and incomplete broods should exhibit identical sex ratio distributions even when the sexes experience differential mortality, as shown in the classic paper of Fiala (Am Nat 115: 442–444, 1980). Therefore, in partially unsexed samples, primary sex ratio biases cannot be distinguished from biases caused by differential mortality. In addition, complete broods do not represent primary sex ratio more accurately than incomplete ones and might even be misleading. Despite Fiala’s prediction, SRD does occur in some empirical studies. We show that this pattern could arise if (1) primary sex ratio affects chick mortality rates independently of sex (direct effect), (2) primary sex ratio covaries with a variable that also affects mortality rate, or (3) sex differential mortality covaries with overall mortality rate (indirect effects). Direct effects may cause stronger SRD than indirect ones with a smaller and opposite bias in the overall sex ratio and could also lead to highly inconsistent covariate effects on brood sex ratios. These features may help differentiate direct from indirect effects. Most interestingly, differences in covariate effects between complete and incomplete broods imply that influential variables are missing from the analysis.     

基于农业自然风险综合评价的高标准基本农田建设区划定方法研究

大规模建设高产稳产、旱涝保收的高标准基本农田是当前土地整治的重要任务,论文从分析区域防灾减灾能力入手,将农业生产自然风险综合评价引入高标准基本农田建设区划定,在识别区域主要风险类型的基础上,应用可变模糊集理论,借助GIS 方法,划分综合风险等级,根据风险强度和整治可行性划定高标准基本农田建设区。结合对关中地区的实例分析,研究表明：①使用可变模糊集理论,综合考虑各单因子风险差异,可减少风险定量化的模糊不确定性;②综合风险由致灾因子危险性和承灾体脆弱性共同决定,风险评价结果可为筛选高标准基本农田建设适宜区提供依据;③综合风险等级、集中连片程度和整治潜力共同确定土地整治时序,可为划定高标准基本农田建设区和确定整治规划提供参考。     

Muhlbauer风险分析法在管道风险评价中的应用

将管道统计数据和专家意见相结合,以靖边-银川天然气输送管道工程为实例,进行管道安全模拟计算,定量分析输油、气管道的相对风险数,寻求提高管道运行安全性的途径.结果表明:该管道的两段管道,即靖边-盐池清、盐池清-银川的相对风险数分别为67.1和68.3,存在一定的风险,相对风险数中可变因素所占比例分别为63%和62%;可通过加强管理等措施,提高可变因素的指数分值从而提高管道的相对风险数,使管道安全性在原基础上提高19%左右.