深埋岛式地铁车站站台火灾时烟气蔓延数值分析

随着我国地铁的发展,未来部分地铁的发展空间属于埋深较大,经过老城区时须穿越大片房屋桩基,地质条件复杂,施工难度大,工程实施上线路和车站均需要较大的埋深。因此,深入开展深埋地铁站点火灾安全研究有助于地铁安全管理工作。笔者针对地铁深埋岛式站台火灾,利用数值模拟方法,研究深埋岛式站点内烟气横向流动和不同站层间的烟气纵向蔓延规律。分析烟气在隧道、站台及站厅内蔓延时烟气温度、有毒气体浓度、可见度等特征参数的分布情况;同时探讨了火灾时深埋岛式站点内有效的气流组织形式,隧道排烟系统的运行模式。所获的研究结论有助于同类型的地铁车站的设计和运营管理。     

地铁车站突发客流疏运能力的理论计算与分析

针对车站OB应对亚运会期间大规模突发客流疏导问题,利用理论分析的方法计算不同车站设计方案,包括车站一岛一侧站台设计和一岛站台设计及不同通道设计时的最大疏运能力。计算考虑了车站建筑结构、出入口、闸机口和边门、楼扶梯等通道的数量及通过能力、站台面的容纳能力、列车的装载量、售检票方式、行车交路组织等诸多因素。通过对影响客流疏导的主要控制因素进行能力核算,分别得到了两种站台形式设计方案时的最大疏运能力的理论值。研究结论将有利于解决该车站应对亚运会期间大规模突发客流疏导问题,同时理论分析方法可为其他类似的车站能力设计提供参考。     

基于人工神经网络理论的船舶动力装置安全综合评价模型

为提高船舶动力装置安全综合评价水平，依据人工神经网络的基本原理，分析了BP神经网络模型的基本原理和优化策略，将其应用于船舶动力装置的安全评价之中。提出了基于神经网络理论的船舶动力装置综合安全评价模型及实现方法，并以实例论证了此方法的可行性。     

流域管理:权力产权的外部性问题

水资源的自然、经济和社会属性要求政府对流域的开发和利用进行管理,以解决个体使用者的外部性问题.但实际上由于政府并不是只有单一目标的统一组织,在分权体制下,不同区域、部门的政府单元掌握着实际权力.由于权力也存在外部性,各管理区域、部门之间存在利益冲突,导致政府的管理失效.解决政府权力外部性的办法:一是要转变政府职能,改变政府的激励机制;二是严格界定各政府单元的权力界限,对流域进行统一管理.     

Effects of planned expansion of waste incineration in the Swedish district heating systems

Recent targets for reduced amounts of waste to landfills in Sweden will result in a large increase in waste incineration with recovery of energy, used primarily for district heating. The aim of this study is to investigate what changes in the usage of other fuels and technologies for district heat production would be caused by this increase. A questionnaire was sent out to the largest district heating companies, and simulations in an energy systems model were carried out. The analysis shows that increased waste incineration reduces the demand for other fuels, especially biomass, for district heat production. The effects include reductions in operating hours as well as the avoidance or postponement of investments in new plants for district heat production. Increased waste incineration will also lead to a greater use of district heating in Sweden.     

特大型双曲线自然通风冷却塔噪声治理

本文以上海吴泾电厂八期1#、2#机组所用特大型双曲线自然通风冷却塔为例,介绍其噪声特性、控制措施及治理效果。     

矿井电网动态安全分析系统的研究

随着国民经济的迅速发展,各行各业对煤矿资源的需求越来越大,然而矿难事故的频繁发生,煤矿安全已成为迫切需要解决的首要问题。笔者针对目前的矿井供电系统存在的不足而导致的安全隐患问题,进行了深入的理论研究和技术分析。根据煤矿供电系统的实际情况,对其供电系统的动态安全分析问题进行了较全面的探讨和论述;介绍了矿井电网动态安全分析系统的功能要求、主要组成部分和结构;对各部分的实现和需要注意的问题进行了分析;给出了矿井电网动态安全分析系统的框图及系统最终要反映的信息要求。     

基于模糊理论的加油站安全评价方法研究

加油站安全状况是一个涉及多因素、多层次结构的非线性系统.本文针对加油站特点分析构建了加油站安全评价指标因素体系,并运用层次分析法在确定各评价指标因素相对权重的基础上,基于模糊数学理论,建立了加油站安全综合评价数学模型,并对该模型进行了实例验证,为加油站的安全评价提供了一种有效的综合评价方法.     

电力污闪事故的气象条件分析

对1980-2003年长治市发生的26次严重电力污闪事故进行了调研分析.找出了其中主要电力污闪事故发生的成因及其时空分布特征.对诱发污闪的主要气象条件(浓雾、小雪、雨夹雪、毛毛雨、小雨、冰融等恶劣天气)和气象要素(相对湿度、气温、风向、风速、结冰、积雪等)进行了综合分析,给出了污闪事故发生的各类气象条件综合性判别指标以及事故发生可能性的分级预测标准,并提出了预防电力污闪的一些安全措施.     

Analysis of Roadside Inhalable Particulate Matter (PM10) in Major Korean Cities

A data analysis of three major Korean cities was conducted to assess roadside inhalable particulate matter 10 μm or smaller in aerodynamic diameter (PM₁₀), including temporal and meteorological variations, over a recent period of 4 to 6 years. The yearly roadside PM₁₀ concentrations presented a well-defined increasing trend or no trend depending on the roadside monitoring station. Most mean values exceeded or approximated the Korean standard of 70 μg/m³ per year for PM₁₀. A representative roadside diurnal trend was characterized by a distinct morning maximum. In most cases, the Sunday roadside concentrations were similar to or somewhat lower than the weekday concentrations, and the PM₁₀ concentrations presented a well-defined seasonal variation, with the maximum concentration in March. The monthly maximum concentrations observed in March were most likely attributable to Asian dust storms. In two metropolitan cities (Seoul and Busan), the frequency of days with roadside PM₁₀ concentrations exceeding the standard of 150μg/m³ per 24 h was much lower for the roadside monitoring stations than for the residential monitoring station, whereas in the third city (Daegu), this result was reversed. Interestingly, the average maximum concentrations observed for the roadside sites in Seoul and Busan during March were higher than those for the residential sites, suggesting that the roadside concentrations responded more to the dust storms than the residential areas. The relationship between the pollutant concentrations and five important meteorological parameters (solar radiation, wind speed, air temperature, relative humidity, and precipitation) showed that the number and type of meteorological variables included in the equations varied according to the monitoring station or season. Finally, the current results confirmed that attention should be given to the PM₁₀ exposure of residents living near roadways.