火焰原子吸收法测定水中铜的不确定度评定

详细叙述了火焰原子吸收法测定水中铜含量的操作步骤及标准曲线绘制的操作步骤,根据操作步骤建立火焰原子吸收法测定水中铜含量不确定度的数学模型,分别对配制标准使用液、取样过程、样品重复性测定、绘制标准曲线引入的不确定度分量进行了详细的分析和计算,得出扩展不确定度。通过不确定度的计算分析得出绘制标准曲线引入的不确定度分量和样品测量重复性引入的不确定度分量对测量结果产生主要影响,因此,提高方法的灵敏度和准确度的关键步骤是提高操作技能,增加标准曲线测量次数和被测样品测量次数。     

用干湿球测量相对湿度的不确定度分析

对干湿球法测量相对湿度时测量不确定度的数学模型进行分析,并对测量不确定度的各个分量进行分析,结合实测数据得出测量相对湿度的不确定度0.92%。     

典型板架结构压缩试验不确定度评估方法研究

目的 针对当前船舶结构极限强度试验中试验场地、试验环境、试验方法、试验模型、试验设备等因素导致试验结果精度不高的问题,通过分析典型加筋板结构压缩试验过程中主要不确定度来源,提出降低试验不确定度的措施和方法。方法 基于不确定度分析理论,聚焦典型加筋板结构,开展压缩试验,围绕模型材料、模型加工、试验系统等不确定度来源开展分析,对其压缩极限载荷进行不确定度评估。结果 建立了一套适用于加筋板结构极限强度压缩试验的不确定度评估方法。典型加筋板结构极限压缩载荷、材料屈服强度引起的不确定度最大,其次是主面板及腹板厚度引起的不确定度,加强筋腹板高度与主面板尺寸对试验结果的不确定度有一定影响,加载伺服控制系统引起的不确定度可忽略不计。结论 材料屈服强度、板厚等因素均对极限载荷的不确定度有较大影响,在后续类似试验模型材料选择、模型加工等阶段应严格把控,确保材料、板厚等关键参数与设计值一致,提高试验结果可信度与精确度。     

长三角地区2000 — 2019年黑碳排放核算及其不确定性

基于国家能源活动统计资料,使用排放因子法建立了长三角地区2000—2019年黑碳排放清单,并利用Monte Carlo方法量化排放因子对黑碳排放核算的影响及不确定性。研究结果表明：（1）近20 a长三角地区总黑碳排放量由10.72×10⁷ kg（2000年）增加至12.54×10⁷ kg（2019年）,增长了16.98%;黑碳排放源结构发生显著变化,2000年居民生活是长三角地区最主要的黑碳排放源（占42.2%）;自2006年开始工业逐渐成为研究区最主要的黑碳排放源,2019年工业排放占长三角地区黑碳排放总量的63.2%。（2）长三角地区黑碳排放存在明显的空间分异。总体而言,江苏省黑碳排放总量和人均黑碳排放强度居长三角地区首位,安徽省单位GDP黑碳排放最高,上海市单位面积黑碳排放强度最高,而浙江省人均和单位面积黑碳排放强度最低。（3）考虑黑碳排放核算过程中排放因子的取值差异,2019年长三角地区黑碳排放总量为7.13×10⁷—14.49×10⁷ kg（95%置信区间）,相对不确定性为?33.50%—35.11%。工业排放因子是长三角黑碳排放核算不确定性的主要贡献者。     

流域污染物通量测算方法研究

流域水系内污染物通量不仅能够用于评价各类污染源的水污染物入河负荷,也是对流域污染特征,水污染物在河流水体中复杂迁移、转化过程的最直观反应。准确测算流域水系内污染物跨界通量及其时空分布是进行流域水环境风险预警和风险管理的重要前提之一。针对目前多种污染物通量测算方法在进行污染物年通量估算时,结果不确定性大这一突出问题,以流域水质监测站年内逐日流量、悬浮颗粒物监测数据作为悬浮颗粒物年通量参考值,基于以月、半月、周为周期的监测策略,将逐日流量、悬浮颗粒物监测数据重新筛选抽样构造,由此,系统分析了不同流域集水面积、污染通量监测频次和目前常用通量估算方法对污染物年通量估算不确定性的影响。所得方法和结论可为进一步制定流域污染物通量的测算规范提供方法指引和技术支持。     

Cognitive processes in procedural justice judgments: The role of ease‐of‐retrieval,uncertainty, and experience

In a field experiment with 517 job applicants, the processes underlying the formation of procedural justice judgments were investigated. It was hypothesized that procedural justice judgments may be based not only on content information (e.g., “What are fair aspects of the selection procedure?”), but also on the felt ease or difficulty with which this content information can be retrieved from memory (ease‐of‐retrieval; e.g., “How easily can I recall fair aspects of the selection procedure?”). Evaluations of the company's online application procedure show that job candidates based procedural justice judgments on content information or on ease‐of‐retrieval, depending on their uncertainty regarding the online application procedure as well as their prior experiences with online applications. Specifically, experienced applicants who felt certain based their judgments on ease‐of‐retrieval, whereas all other applicants based their judgments on content information. Implications for research on the formation of justice judgments as well as practical applications are discussed. Copyright © 2010 John Wiley & Sons, Ltd.     

Optimization of test interval for ageing equipment: A multi-objective genetic algorithm approach

Reducing the unavailability of safety systems at nuclear power plants, by utilizing the probabilistic safety assessment (PSA) methodology, is one of the prime goals in the nuclear industry. In that sense, optimization of test and maintenance activities, which are defined within the technical specifications, represents quite popular and interesting domain. Obtaining optimal test and maintenance schedule is of great significance for improving system availability and performance as well as plant availability in general.On the other side, equipment aging has gradually become a major concern in the nuclear industry since the number of safety systems components, that are approaching their wear-out stage, is rising fast. Nuclear power plants life management programs, considering safety components aging, are being developed and employed. The immense uncertainty associated to the available component aging rates databases poses significant difficulties in the process of incorporation and quantification of the aging effect within the PSA and, subsequently, in the decision-making process.In this paper, an approach for optimization of surveillance test interval of standby equipment with highly uncertain aging parameters, based on genetic algorithm technique and PSA, is presented. A standard standby safety system in nuclear power plant is selected as a case study. A Monte Carlo simulation-based approach is used to assess uncertainty propagation on system level. Optimal test interval is derived on the basis of minimal system unavailability and minimal impact of components aging parameters uncertainty. The results obtained in this application indicate the fact that risk-informed surveillance requirements differ from existing ones in technical specifications as well as show the importance of considering aging data uncertainties in component aging modeling.     

再生水补给型水体中病原微生物的来源、归宿及其风险评估

我国北方地区,以污水处理厂出水等非常规水源补给为主的河/湖逐渐成为城市群下游河流的主导类型;以污水处理厂尾水为补给水源的湿地公园近年来亦大量涌现.在节约城市用水、改善生态环境的同时,污水所携带的病原体对环境安全和人类健康带来潜在的威胁.为评估水环境病原微生物污染的健康风险,深入了解水体中病毒的类型以及病毒污染与环境因素之间的关系,认识病原微生物在水环境系统中的迁移轨迹、人暴露风险点及暴露途径具有重要的意义.针对典型再生水补给型水体存在的公共卫生安全问题,借鉴同时探索污水流行病学方法,并结合微生物定量风险评估（QMRA）分析,通过“污染-风险评价-风险预警”的流程,可以实现病原微生物污染全过程风险管理,为城市水环境的管理和良性运行提供理论支撑.     

考虑参数和边界条件不确定性的地下水污染随机模拟

为了分析模型参数的随机变化和边界条件的随机变化对地下水溶质运移模型输出结果的不确定性影响,采用蒙特卡洛模拟对一假想算例展开研究,并结合风险评估阐述不确定性分析结果.首先,建立研究区地下水溶质运移数值模拟模型,并综合利用局部灵敏度分析和全局灵敏度分析方法筛选出对模型输出结果影响较大的参数,连同模型的边界条件(第一类边界条件-水头值)一起作为随机变量.然后,利用优化超参数的高斯过程回归(GPR)方法建立模拟模型的替代模型,代替模拟模型完成蒙特卡洛随机模拟.最后,对随机模拟的结果进行统计分析和区间估计,并利用污染物浓度的概率分布函数对1、2、3号观测井进行地下水污染风险评价.结果表明:置信水平>80%时,1,2,3号观测井污染物浓度值的置信区间分别为34.77~35.03,57.74~58.04,100.07~100.69mg/L.此外,1,2,3号观测井为轻度污染的风险分别为6%,100%,100%;为中度污染的风险分别为0%,0%,99.6%;为重度污染的风险分别为0%,0%,0.5%,藉此为地下水污染修复防治和地下水的合理利用提供可靠参考依据.