跨河道桥工程防洪风险管理体系研究

针对目前我国河道管理的现状，在原有防洪影响评价的基础上，综合运用广义结构可靠性原理及多种相关学科理论，提出了跨河道桥工程防洪风险的评价理念，建立了跨河道桥工程防洪风险的评价指标体系和管理体系，并结合工程实例验证了方法体系的适用性与可靠性。     

特征参数对单自由度结构随机临界地震响应影响的研究

结构物受地震作用的动力分析法可分为两大类,一类是确定性分析方法,另一类是概率性分析方法。随机临界地震响应分析法作为概率性分析法的一种,是指在地震激励均方值已知的条件下,找出使响应方差最大的临界地震激励。本文针对一单自由度水塔结构,在平稳高斯过程地震动输入下,运用随机地震响应分析法,求解了随机临界地震响应,并分析了控制临界地震激励的平均零穿越率的参数P、结构阻尼比、正交函数系的选择和项数等对体系随机临界地震响应的影响,得到一些有益的结论,对实际工程的运用具有一定的指导价值。     

考虑随机误差的软土基坑沉降趋势分析及预测*

为准确分析基坑沉降变性规律,基于现场监测数据,通过卡尔曼滤波对趋势项及误差项进行分解,采用M-K检验对发展趋势进行评价,利用优化广义回归神经网络和差分整合移动平均自回归模型,构建基坑沉降分项预测模型,并将预测结果与发展趋势评价结果对比分析,以实现基坑沉降变形规律综合研究。结果表明:卡尔曼滤波能有效分解基坑沉降数据趋势项与误差项,相较于传统小波分解效果更佳;基坑沉降呈持续增加趋势,但趋势性逐渐减弱;预测结果相对误差均值均不大于2%,预测模型精度较高;沉降变形会进一步增加,但增加速率明显降低,与发展趋势分析结果一致,两者相互佐证分析结果准确性。研究结果为基坑沉降变形规律分析提供新思路。     

武汉城市圈公路沿线土地利用变化规律分析

区域交通土地一体化规划需要明晰公路沿线的土地利用变化过程。基于随机概率的土地转移矩阵模型及相关结构指数,分析了武汉城市圈公路沿线的土地变化规律。结果显示,从变化量而言,武汉城市圈各类型公路沿线耕地转为建设用地的比例最大,且以国道最为明显;从系统的变化方向而言,各公路类型沿线建设用地占用耕地现象显著,此外,高速沿线建设用地占用水域,国道沿线耕地占用林地,以及各类型公路沿线耕地、林地闲置现象也需及时监测和预警。     

Inherently safer design review and their timing during chemical process development and design

This paper discusses the enhancement of inherent safety review and its implementation in the chemical process development and design. The aim is to update and improve the existing inherently safer design review (ISDR) practices during design of chemical process plant by exploiting major accident cases from the U.S. Chemical Safety Board (CSB) and Failure Knowledge Database (FKD). Although the basic guidelines to conduct ISDR during design phase are available, however they are too general and incomplete. The review criteria and their best timing for application are still missing. This paper attempts to develop the accident-based ISDR for chemical process plant design. The proposed accident-based ISDR is supported with detail review criteria for each phase of process design. The timing of ISDR application is corresponding to the common design tasks and decisions made in the design project. Therefore, timely design review could be done at the specific design task and the findings help designer to make a correct decision making.     

沿海和河口城市防灾设防标准系统分析

本文针对天津、上海、青岛等三种不同类型的沿海、河口城市,运用灰色理论、随机模拟等方法进行了洪水、风暴湖、巨浪等环境因素的计算,并进行了灾害经济损失的风险分析,给出了不同的防灾设防标准。     

黄鳝野生群体和养殖群体遗传结构的RAPD分析

采用RAPD标记技术对黄鳝野生群体和养殖群体遗传结构进行初步研究.用24个随机引物在野生群体和养殖群体中分别扩增出259和251条DNA片段,其中多态性片段数分别为116和92条,多态性片段的比例分别为44.79%和36.65%,平均杂合度分别为0.2155和0.1908,遗传相似率分别为0.9053和0.9583,群体间遗传相似率为0.8863.而Shannon遗传多样性指数表明,两群体中的遗传变异有81.51%来自群体内,只有18.49%来自群体间.野生群体的多态性位点比例和杂合度明显高于养殖群体,说明黄鳝野生种质资源状况较好,应加以合理保护.与野生群体相比,养殖群体的杂合度和遗传多样性有所下降,提示在黄鳝的人工繁殖过程中应引进标记辅助选择等技术手段.图1表3参24     

隧道渗涌水量的随机模型预测

渗涌水问题是常见的隧道病害 ,是影响隧道正常使用 ,危及行车安全的重要因素。因此 ,科学地预测隧道涌水量大小 ,是制定最优防治水方案 ,确保安全通车的关键。笔者以大瑶山隧道渗涌水量的实测数据为基础 ,应用随机过程的理论和方法 ,建立了隧道渗涌水量的平稳序列预测模型 ,并将预测值与实测结果进行了对比 ,比较吻合。     

我国能源消耗对人群PM2.5暴露水平的随机影响效应分析

能源燃烧产物是PM2.5暴露水平提高的重要因素,燃烧不同种类的能源对PM2.5形成的影响机理不同,但各类能源消耗量对人群PM2.5暴露水平的影响程度尚不明确.基于2003-2010年的PM2.5质量浓度与煤炭、焦炭、原油、汽油、煤油、柴油、燃料油、天然气和电力消耗数据组成的面板数据,建立了不同种类能源消耗影响我国人群PM25暴露水平的随机效应模型.结果表明,我国2003-2010年多数省(市、自治区)的年均PM2.5质量浓度超过了世界卫生组织的标准.在研究时间段内,不同种类能源消耗量对人群PM2.5暴露水平的影响具有较大差异,煤炭、焦炭、汽油和煤油消耗对人群PM2.5暴露水平具有正影响,其中,正向影响最大的为焦炭消耗量,表明工业消耗焦炭对形成PM2.5的促进作用比较明显;与焦炭消耗量具有相近的影响效果的因素是汽油消耗,表明改进机动车和航空燃油技术同样非常重要;原油、柴油、燃料油、天然气和电力消耗对人群PM2.5暴露水平具有负影响,其中负向影响最大的为电力消耗量,表明电力作为一种清洁能源,有利于降低人群PM2.5暴露水平.     

Active learning climate and employee errors: The moderating effects of personality traits

This study developed and tested a cross‐level model of the relationship between two components of active learning climate—enactive exploration and guided learning—and employee errors, and the moderating roles of the individual's traits of openness to experience and conscientiousness. The study examined the medical errors made by 142 resident physicians in 22 hospital departments. Results demonstrated significant interactions between climate and traits: when an individual had a low level of the trait of openness to experience, there was a curvilinear relationship between enactive exploration climate and number of errors. With a high level of openness to experience, the enactive exploration climate was positively associated with the number of errors up to a certain point. In addition, when an individual had a low level of conscientiousness, there was a negative association between guided learning climate and number of errors; with a high level of conscientiousness, there was a positive association between guided learning climate and number of errors. Thus, individual performance was better when the climate complemented the individual's lack of a trait. When the level of the individual's trait was high, the climate intensified the already pronounced trait up to an extent that impaired the individual's performance. Copyright © 2015 John Wiley & Sons, Ltd.