基于BP神经网络的垃圾堆放场稳定化程度的综合判别

分析和判别垃圾堆放场的稳定化程度直接关系到是否需要采取加快稳定化进程，缩短垃圾堆放场的稳定化周期以及是否需要采取措施减少它们对环境的不利影响。本文根据我国垃圾堆放场的具体情况，提出稳定化程度的判别评价指标体系，并且确定稳定化程度的判别标准，运用BP神经网络建立垃圾堆放场稳定化程度的综合判别模型。以三峡库区的一个小型垃圾堆放场为例，采用本文所提出的综合评价模型确定它的稳定化程度，演示模型的运行过程，并为三峡库区的环境保护提供帮助。     

Making decisions about environmental management when conventional economic analysis cannot be used

A process is described for making comparative valuations of a wide range of environmental management activities when the combined social, economic, managerial, and political benefits of some (but not all) of these activities cannot be adequately described in economic terms and when budgetary constraints do not permit funding of all activities under consideration. The process accounts for subjective judgment and contains a formal rigorous decision strategy that takes the place of intuition when quantitative and qualitative values of environmental activities need to be evaluated.     

贵阳市人工边坡稳定性模糊综合评判

在充分考虑了影响人工边坡稳定性的自然地质条件、诱发因素、人类工程活动等多项指标的基础上,用模糊综合评判方法对贵阳市近十年来发生的崩滑灾害和典型人工边坡的稳定性进行了综合分析和评价,评判结果与实际一致。     

库水作用下公路土质岸坡稳定性影响因素综合评判

以三峡库区公路土质岸坡为研究对象,通过对库水作用的影响效应分析,建立了岸坡稳定性评价的参数指标评价体系以及相应的分级标准.在此基础上,应用影响因素综合评判方法,对实例岸坡进行了稳定性分级评价,评价结果与实际情况基本相符.     

监测数据的审核及结果的分析与判断

本文介绍了监测数据审核的意义，从监测结果的表达、报告的完整性，采要的准确性等方面阐述了监测数据审核的要点，提出了监测结果异常数据的几种较为简便，实用的判断方法。     

煤中掺比伴生硫化物的自燃特性分析

为了深入探究矿井下伴生硫化物对煤自燃及着火燃烧特性的影响,向原煤中添加不同量的含硫物配制4种不同含硫量的煤样,通过TG实验、DSC测试和XRD分析,研究伴生硫化物对煤自燃及着火燃烧特性的影响规律;基于Coats-Redfern法计算煤中掺加不同伴生硫化物时煤燃烧阶段的活化能。研究结果表明:随着煤中掺比伴生硫化物的增多,煤的特征温度相应减小,而吸氧量、可燃和稳燃指数相应增大,原煤中混入伴生硫化物后更易自燃;随着煤中掺比伴生硫化物的增多,煤燃烧阶段的活化能降低,煤更易着火燃烧;伴生硫化物的主要成分为水绿矾、叶绿矾,这些物质在常温下遇水和氧气能够发生化学循环反应,反应放热促使了煤更易自燃;伴生硫化物在温度高于200℃以后整体表现为放热,在温度为565℃时达到放热峰值,这使得煤燃烧阶段的活化能降低,煤更易燃烧。     

The effect of economic consequences on social judgment and choice: Reward interdependence and the preference for sociability versus competence

Competence and sociability (warmth) are fundamental dimensions of social judgment in organizations. However, these qualities are frequently seen as negatively related, with mixed evidence on which is more important. In three studies (N = 993), we investigated the effects of reward interdependence on the preference for sociability versus competence. We predicted that reward interdependence would elicit a more instrumental, calculative mindset, which in turn, would lead individuals to value competence more. Study 1 surveyed working adults who were in actual work groups and found that those who worked in more (vs. less) reward interdependent environments were more likely to think instrumentally and calculatively when considering potential colleagues. This mindset, in turn, was associated with a greater tendency to value competence over sociability. Studies 2 and 3 used an experimental design and found that when people imagined or anticipated working in a situation in which their economic outcomes depended in part on others, they were more likely to adopt an instrumental focus and choose a “competent jerk” over a “lovable fool.” These results call into question a vast social judgment literature that has made claims about the importance of sociability and related constructs without considering the context, and particularly the reward interdependence, often inherent in organizational contexts.     

基于ANP的煤矿员工非意向不安全行为影响因素研究

为量化分析非意向不安全行为的影响因素,基于专家判断法和网络层次分析法（ANP）,运用超级决策（SD）软件分析评价了30个因素对非意向不安全行为的影响。结果表明:对国有大中型煤炭企业而言,个体特征、组织及任务、机械设备对非意向不安全行为有很大的影响,环境因素对非意向不安全行为影响权重相对较小;应急反应、应急演练、信息传递、注意力、监督反馈、安全警示、工作经验、应急设施、作业规范、疲劳程度等10个因素是企业干预、控制非意向不安全行为的重点关注因素。     

Retrospective exposure assessment in a chemical research and development facility

The objective of this exposure assessment was to reconstruct cumulative historical exposures for workers who have been exposed to multiple chemicals and chemical groups to better understand a cluster of brain cancers within a research and development lab. Chemicals of interest, including acrylates, bis-chloromethyl ether (BCME), chloromethyl methyl ether (CMME), isothiazolones and nitrosoamines, were selected on the basis of the plausibility of penetrating the blood-brain barrier and the uniqueness of the chemical's biological activity.In a complicated exposure setting such as a chemical R&D facility, multiple exposure estimation methods were needed. First, similarly exposure groups (SEGs) were created for these materials based on department group, time period of the department's existence and function associated with job titles. A probabilistic framework for assessing exposures was developed using Bayesian analysis of historical monitoring data, mathematical exposure modeling and professional judgments of current and former industrial hygienists at the facility were used to reconstruct the exposure history for acrylates, BCME and CMME for each SEG over the time period of interest. Since sufficient measurement data for isothiazolones and nitrosoamines were not available, the exposure histories for each SEG for these chemicals were estimated. This was done using objective formaldehyde levels and subjective employee interviews. The interviews assessed workplace determinants of exposure as distinct surrogates for estimating inhalation and dermal exposures. The exposure assessments by these methods were compared against each other to estimate the potential for exposure misclassification. A job exposure matrix (JEM) was constructed that contained the exposures obtained from above multiple approaches for each of these chemical groups for each SEG for each year of interest. The combination of methods used in this work is a unique and potentially helpful framework that can be used in analogous workplace settings involving multiple exposures with incomplete objective measurement information.     

化学分析方法校准曲线有关问题的探讨

校准曲线的线性范围为测定下限与测定上限之间的浓度范围,测定上限应尽可能扩大,但要保证校准曲线呈线性,同时,最高点分析后不会对分析系统造成污染物残留。通常应根据分析方法原理、仪器的特点和样品基质情况来确定校准方式。对于线性校准曲线,除了相关系数外,还要根据不同情况,对校准曲线进行检验。校准曲线的合格判定,除考虑相关系数外,还需要用校准曲线重新计算校准点,对于线性校准,所有校准点计算结果拟合值与实际值的相对误差应在±30%以内,对于非线性二阶校准曲线,应进行最大值与最小值检验。