城市天然气管道风险特征与肯特法的改进

根据城市高压天然气管道特点,将适合于城市天然气管道风险分析的肯特评分法加以改进,包括调整评分项目和事故因素权重,使其成为适于城市天然气管道的风险分析法。将改进后的肯特评分法应用于常州21km高压天然气管道的风险评价,得出8个相对高风险管段,其分析结果可作为安全管理人员合理分配维护资源的理论依据。工程应用实例证明:改进后的肯特法具有较强的可行性,是城市高压天然气管道风险评估的有效工具。     

建筑火灾风险评价体系的建立与应用探讨

探讨基于安全系统工程思想的建筑火灾风险评价指标体系的建立方法,并在该基础上,通过专家打分和层次分析法,计算得出各指标因子的权重值。根据有关标准和规范,对各评价指标因子进行等级划分,并设计出建筑火灾风险综合分值评分表,为厘定火灾保险费率提供依据。笔者的研究成果为完善建筑火灾风险评价方法、制定财产保险火灾风险评价标准等提供了科学依据。     

煤矿安全生产中人的行为影响因子系统动力学(SD)仿真分析

在构建影响人的安全行为因素因果关系的基础上,运用系统动力学(SD)理论和方法,对影响人的安全行为关键因素进行动态预测,并通过仿真计算、对比分析安全投入增加对系统安全水平的影响。应用该方法建立的煤矿生产中人的安全行为指标水平模型,以求证安全投入与人的安全行为水平的相关性,为煤矿安全管理决策提供一种新的思路,亦有助于政府和煤矿企业科学地明确安全投入方向,降低人因事故率,提高煤矿生产的安全水平。     

基于加速度干扰和AHP的车辆行驶安全性评价模型

关于行驶中的车辆在交通系统各因素作用下的行驶安全性评价,在现有交通系统四大要素的基础上加入车辆行驶状态,构成"人-车-环境-路-车辆行驶状态"5要素。并对各要素评价指标的选定做了细致的筛选,建立了车辆行驶安全性评价指标体系。其中"人-车-环境-路"因素采用打分的形式确定其参数的分值,并利用层次分析法(AHP)计算各参数权重来构建模型的;"车辆行驶状态"因素则是引入加速度干扰的定义,建立基于道路结构的加速度干扰模型。最后,运用层级分析法建立了总的车辆行驶安全评价模型。     

大型公共场所动态引导人移动路径设计方法

针对方向式动态引导在大型公共场所安全疏散中的重要作用,以及对动态引导人移动路径研究不足的现状,提出利用比值函数设计动态引导人移动路径的方法。并借鉴TSP(旅行商问题)方法的求解思路,提出可用于动态引导人移动路径优化的禁忌搜索算法。以一个内部布局较为复杂的大型公共场所模拟场景为例,利用MA-ESM疏散模型,分别模拟了引导人最优移动路径、最短移动路径和影响面积最大路径3种不同情景下疏散效果。结果表明,利用影响面积和路径长度比值最大的优化算法计算得出的引导人移动路径,既可满足在相同时间内引导更多的人员进行疏散,又可节省总体的疏散时间,充分保证疏散效果,验证了笔者所提出的动态引导人移动路径优化算法的合理性。     

基于层次分析-模糊综合评判的化工园区安全评价研究

应用模糊数学理论,把模糊综合评价方法具体应用到化学工业园区安全综合评价研究中,结合化工园区的实际情况,建立了化工园区的安全现状综合评价指标体系,采用定性与定量相结合的层次分析法计算评价因素的权重,运用模糊综合评判理论,提出安全现状二级模糊综合评价方法,实现对化工园区安全等级的综合评判。应用该方法对某化工园区的安全现状进行了综合评价,得出其安全等级为"一般"。实例表明:模糊综合评价方法可操作性强、效果较好,可在化工园区的安全综合评价中广泛应用。     

基于灰预测模型的大跨度预应力混凝土桥梁施工监测

运用灰色系统理论,建立大跨度预应力砼刚构-连续组合梁桥悬臂浇筑施工梁段立模标高预测的GM(1,1)模型,并用残差的GM(1,1)模型对其进行修正;同时把该预测模型应用于松原龙华松花江特大桥实际工程;其结果表明梁段立模标高预测精度较高,完全能够满足工程的需要,为同类桥梁的施工监测提供参考。     

Analysis of the nitrifying bacterial community in BioCube sponge media using fluorescent in situ hybridization (FISH) and microelectrodes

There is growing interest in the development of more cost-effective and retrofit technologies for the upgrade and expansion of existing wastewater treatment plants with extreme space constraints. A free-floating sponge media (BioCube) process, using a 24L lab scale reactor, was operated to study the nitrification profiles and microbial community. The COD removal efficiencies were maintained, at an average of 95%, with the mixed liquor suspended solids (MLSS) inside the BioCube sponge media maintained at 12,688mg/L. The nitrification removal efficiencies were between 92% and 100%, with an average value of 99%. From the results of microelectrode measurements, the ammonium ion concentration was found to rapidly decrease from the surface of the BioCube sponge media to a depth of 2mm due to chemical reactions carried out by ammonia oxidizing bacteria (AOB) species. Multi-fluorescence in situ hybridization (FISH) has been used to investigate the spatial distributions of various microbial activities within reactors. Microbial communities were targeted using different oligonucleotide probes specific to AOB and nitrite oxidizing bacteria (NOB). There were a large number of AOB populations, but these were not uniformly distributed in the biofilm compared to the NOB populations.     

Anticipated Performance Index of some tree species considered for green belt development in and around an urban area: a case study of Varanasi city, India

It is well established that trees help to reduce air pollution, and there is a growing impetus for green belt expansion in urban areas. Identification of suitable plant species for green belts is very important. In the present study, the Air Pollution Tolerance Index (APTI) of many plant species has been evaluated by analyzing important biochemical parameters. The Anticipated Performance Index (API) of these plant species was also calculated by considering their APTI values together with other socio-economic and biological parameters. Based on these two indices, the most suitable plant species for green belt development in urban areas were identified and recommended for long-term air pollution management.     

Source identification and characterization of the accumulating non-biodegradable organics in Korean reservoirs

An increase in the chemical oxygen demand (COD) has been noticed in most Korean reservoirs. Therefore, this research systematically investigated the causes of organic accumulation. Samples of soil affecting the quality of water of reservoirs were collected at various sources and analyzed for their organic characteristics. The COD to biochemical oxygen demand (BOD) ratio was used as the key parameter in the evaluation of non-biodegradable (NBD) organic accumulation in the reservoirs. Soil samples containing plant roots were agitated, with the supernatant showing COD/BOD ratios of less than 2.8, while those of the composted tree leaves were greater than 5.0, suggesting that humic substances produced in forest areas are a major cause of NBD organic accumulation in reservoirs. In addition, the organic fractionation of the leachate from leaching tests showed that of the various types of hydrophobic natural organic matter (NOM), the larger molecular weight humic acid makes a greater contribution than fulvic acid to the increase in the NBD COD in Korean reservoirs.