Soil type affects migration pattern of airborne Pb and Cd under a spruce-beech forest of the UN-ECE integrated monitoring site Zöbelboden, Austria

Anthropogenic trace element emissions have declined. However, top soils all over the world remain enriched in trace elements. We investigated Pb and Cd migration in forest soils of a remote monitoring site in the Austrian limestone Alps between 1992 and 2004. Large spatial variability masked temporal changes in the mineral soil of Lithic Leptosols (Skeltic), whereas a significant reduction of Pb concentrations in their forest floors occurred. Reductions of concentrations in the less heterogeneous Cambisols (Chromic) were significant. In contrast, virtually no migration of Pb and Cd were found in Stagnosols due to their impeded drainage. Very low element concentrations (<1 μg l⁻¹) in field-collected soil solutions using tension lysimeters (0.2 μm nylon filters) imply that migration largely occurred by preferential flow as particulate-bound species during intensive rainfall events. Our results indicate that the extent of Pb and Cd migration in soils is largely influenced by soil type.     

基于Petri网的铁路车站安全防护系统建模及可靠性分析

采用单一的随机Petri网对车站线路结构、列车运行过程及车站防护系统建模,基于欧洲电工标准委员会定义的安全目标,确定车站安全防护系统的可靠性需求。对无防护系统的列车入站进行建模和分析,然后基于防护系统功能及可靠性特性,结合列车入站动态特性,对防护系统的功能和可靠性进行建模,并根据安全目标与车站事故率之间的数学关系进行系统的安全分析和可用性分析。其结果表明,车站防护系统的可靠性与乘客的个人风险存在着定量的关系,从而可以依据个人风险的标准来确定防护系统可靠性需求。     

自供电方式的输气站发电机房火险管理

结合涩宁兰输气管道涩北首站实际情况,就发电机房发生火灾事故后的应急反应程序进行了详细论证,提出了具体的火灾防范措施和改进需求,对基于自供电输气场站的发电机房火灾事故应急工作提供了参考.     

基于微观仿真的同站台换乘站客流疏散研究

旨在对同站台换乘站的客流行为和规律,以及对车站乘客疏散时的情况进行分析和研究。通过建立同站台换乘站的微观疏散仿真模型,利用微观仿真软件VISSIM对某即将建成使用的同站台换乘站的仿真模拟,直观地对客流的疏散过程和疏散人群分布状况进行动态观察,通过改变模型的参数设置,考察不同情况下换乘站的换乘效率,得出提高换乘效率的措施和建议,并最终为换乘站的设施设计和运营管理提供辅助设计与决策支持。     

工业企业厂界环境噪声监测中背景噪声监测及修正探讨

针对测量结果修正的相关要求，本文对新颁布的《工业企业厂界环境噪声排放标准》（GB12348-2008）和旧标准《工业企业厂界噪声测量方法》（GB／T12349-1990）在实际工作中的运用进行了比对、分析和探讨，并根据实际工作经验，提出了在背景噪声难以测量的一些特殊情况下的几种解决途径，主要提出噪声源声值与背景声值相差小于3dB（A）时的解决方案。     

利用SEM-EDS分析火场中白炽灯灯丝通电状态

该文模拟火灾现场中白炽灯破坏的不同情况,制备普通白炽灯在不同状态下破坏的灯丝残骸试样,利用扫描电子显微镜-X射线能谱仪分析灯丝残骸表面的微观形貌及其元素组成含量.研究发现,通电状态下被破坏的白炽灯灯丝表面与未通电破坏状态下灯丝表面的元素成分差异较大.经过高温或烟熏的作用,灯丝表面成分也有变化.鉴于不同破坏条件下灯丝表面成分及含量存在明显的差异,可以利用能谱分析的方法判断火场中白炽灯的通电状态.     

关于加强全国环境监测站建设的思考

在分析现状的基础上，提出了加强全国环境监测站建设的对策与建议。     

移动通信基站电磁辐射时空分布及衰减特征

根据理论计算公式和实测数据，研究基站电磁辐射水平、垂直方向的衰减趋势，分析影响基站电磁辐射时空分布的各种因素，认为基站电磁辐射实际影响范围要远小于安全防护距离。     

Experimental investigation of outdoor and indoor mean concentrations and concentration fluctuations of pollutants

Tracer gas was released upwind of a two-compartment complex shaped building under unstable atmospheric conditions. The mean wind direction was normal to or at 45° to the long face of the building. The general patterns of concentration distribution on the building external walls and inside the building were analysed and the influence of natural and mechanical ventilation on indoor concentration distributions was discussed. Mean concentration levels, as well as the concentration fluctuation intensity, were higher on the windward walls of the building, although concentration levels varied along each wall. Concentration fluctuations measured inside the building were lower than those measured outside. Inside the two compartments of the building, the time series of concentrations had a similar general behaviour; however, gas concentrations took approximately 1.5 times longer to reach the mean maximum concentration value at the downwind compartment 02 while they also decreased more rapidly in the upwind compartment 01 after the source was turned off. The highest indoor concentration and concentration fluctuation values were observed at the detectors located close to the windward walls, especially when the building windows were open. Experiments with and without natural ventilation suggested that infiltration and exfiltration of contaminants is much faster when the building windows are open, resulting to higher indoor concentration levels. Furthermore, mechanical ventilation tends to homogenize concentrations and suppress concentration fluctuations, leading to lower maximum concentration values.     

大气环境数据分析预测方法对比研究

以西安市2006年9月27日至2008年5月3日每日的SO2平均浓度时间序列为例,应用时间序列分析对前555个数据进行拟合,得到合适的时间序列模型ARIMA(1,1,2);利用神经网络中的BP神经网络和RBF神经网络对同样的样本进行训练,用这三种方法对2008年4月4日至2008年5月3日的SO2日均浓度值进行了预测,并用同样的方法分析预测了同期PM10日均浓度值,最后比较了它们的预测效果。结果表明,利用这三种方法进行浓度预测都是可行的,其中RBF神经网络法的预测误差最小,效果最好。