Seasonal and interannual variation of physical and biological processes during 1994–2001 in the Sea of Japan/East Sea: A three-dimensional physical–biogeochemical modeling study

A Pacific basin-wide physical–biogeochemical model has been used to investigate the seasonal and interannual variation of physical and biological fields with analyses focusing on the Sea of Japan/East Sea (JES). The physical model is based on the Regional Ocean Model System (ROMS), and the biogeochemical model is based on the Carbon, Si(OH)₄, Nitrogen Ecosystem (CoSiNE) model. The coupled ROMS–CoSiNE model is forced with the daily air–sea fluxes derived from the National Centers for Environmental Prediction (NCEP) and the National Center for Atmospheric Research (NCAR) reanalysis for the period of 1994 to 2001, and the model results are used to evaluate climate impact on nutrient transport in Mixed Layer Depth (MLD) and phytoplankton spring bloom dynamics in the JES.The model reproduces several key features of sea surface temperature (SST) and surface currents, which are consistent with the previous modeling and observational results in the JES. The calculated volume transports through the three major straits show that the Korea Strait (KS) dominates the inflow to the JES with 2.46 Sv annually, and the Tsugaru Strait (TS) and the Soya Strait (SS) are major outflows with 1.85 Sv and 0.64 Sv, respectively. Domain-averaged phytoplankton biomass in the JES reaches its spring peak 1.8 mmol N m^− 3 in May and shows a relatively weak autumn increase in November. Strong summer stratification and intense consumption of nitrate by phytoplankton during the spring result in very low nitrate concentration at the upper layer, which limits phytoplankton growth in the JES during the summer. On the other hand, the higher grazer abundance likely contributes to the strong suppression of phytoplankton biomass after the spring bloom in the JES. The model results show strong interannual variability of SST, nutrients, and phytoplankton biomass with sudden changes in 1998, which correspond to large-scale changes of the Pacific Decadal Oscillation (PDO). Regional comparisons of interannual variations in springtime were made for the southern and northern JES. Variations of nutrients and phytoplankton biomass related to the PDO warm/cold phase changes were detected in both the southern and northern JES, and there were regional differences with respect to the mechanisms and timing. During the warm PDO, the nutrients integrated in the MLD increased in the south and decreased in the north in winter. Conversely, during the cold PDO, the nutrients integrated in the MLD decreased in the south and increased in the north. Wind divergence/convergence likely drives the differences in the southern and northern regions when northerly and northwesterly monsoon dominates in winter in the JES. Subjected to the nutrient change, the growth of phytoplankton biomass appears to be limited neither by nutrient nor by light consistently both in the southern and northern regions. Namely, the JES is at the transition zone of the lower trophic-level ecosystem between light-limited and nutrient-limited zones.     

SLOPE/W软件总应力法和有效应力法的应用

按简单条分法和简化毕肖普法,通过算例阐述了SLOPE/W软件总应力法和有效应力法的计算原理和应用,指出SLOPE/W软件虽然在输入时没有区别总应力参数和有效应力参数,但结合输入时是否定义孔隙水压力,用户可以从计算方法的原理上来区别软件是按总应力法还是按有效应力法计算.     

基于Matlab／Simulink和VB的直流调速系统仿真研究

在某改造项目中,需要模拟电机、励磁调节器、电压调节器等设备的运行。在PC环境下,通过VB和Matlab／Simulink混合编程模拟设备功能,通过数据采集卡和CAN通讯卡从外围设备采集数据并与控制分系统通讯。该仿真系统充分发挥了Matlab／Simulink的建模优势,以及VB编程能力强和人机界面友好的特点,实现了对设备的很好模拟,在项目中得到成功应用。     

采用B／S模式来实现C／S模式下物资管理系统的优化

本文通过对C／S和B／S模式物资管理系统在使用中优缺点的分析,提出了采用以C／S模式为主,B／S模式为辅的混合模式对当前单一的C／S模式物资管理系统进行改造的设想。在这种混合模式下,物资管理部门内部采用C／S模式,便于实现复杂的管理功能及可靠的安全机制：对于非物资管理部门的用户,采用B／S模式,便于统一管理与维护。最后,本文还对系统改造的开发环境和技术做了探讨。     

高速铁路安全技术综述

安全是交通领域永恒的主题,针对当前中国高速铁路发展的大好机遇,本文对高速铁路的安全技术进行了分析和总结,阐述了高速铁路系统运行的特点以及安全监控技术的现状和特点,并试探性地提出了高速铁路安全技术亟待解决的关键问题.     

地铁牵引供电框架保护及功能性改造

针对广州地铁1号线不能远程区分框架保护类型和不能远程复归的状况,结合西门子S5系列PLC技术、SINAUT技术、牵引供电技术,对框架保护进行功能性改造,大大减少了框架保护故障的处理时间.改造技术方案主要通过研究数据的传递方式、协议转换、控制逻辑关系,修改组态软件、监控程序、接口程序、PLC程序的方式来实现.     

直线电机轮轨交通系统牵引坡度及启/制动距离计算研究

直线电机轮轨交通是一种采用直线感应电机LIM牵引的新型城市轨道交通形式.在分析直线电机轮轨系统列车牵引和制动特性的基础上,从列车受力分析的角度,建立直线电机线路参数分析的模型;利用该模型,计算得到直线电机轮轨线路的安全牵引坡度及启/制动距离.     

轮轨摩擦耦合热弹性有限元分析模型

基于伽辽金变分原理,利用有限元方法,建立了轮轨摩擦耦合热弹性有限元分析模型,分析了轮轨摩擦热与钢轨接触区热膨胀位移、摩擦温度、应变和应力的关系。模型中温度场和位移场由耦合方程同时求解,但没有考虑惯性项和材料阻尼的影响。分析结果表明:耦合求解的温度场和位移场与非耦合求解的温度场和位移场的计算结果一致,钢轨表面各点滑动位移的方向与车轮滑动方向一致,垂向位移方向先负后正;钢轨表面各节点进入接触区后,温度快速上升,但高温持续时间短;在滑动方向上,钢轨接触点先受压应变后受拉应变作用,垂向受拉应变作用,滑动方向压应力明显高于垂向压应力,钢轨接触斑前后节点滑动方向应变符号相反;垂向高正应变区主要集中分布在接触斑后半轴上,最大剪应变与剪应力区在接触表层以下。     

基于键图理论对安装EPS系统的车辆操纵稳定性的仿真分析

应用键图理论建立电动助力转向系统(EPS)的模型,将电动助力转向系统的键图模型和matlab的simulink仿真方框图相连接,并利用simulink的可视化功能实现汽车操纵稳定性的可视化仿真,仿真结果表明,将simulink仿真工具箱与键图模型相结合,可使汽车性能分析研究更为直观和简洁.     

Quasi-dynamic estimation of o–d flows from traffic counts: Formulation,statistical validation and performance analysis on real data

The paper proposes a “quasi-dynamic” framework for estimation of origin–destination (o–d) flow from traffic counts, under the assumption that o–d shares are constant across a reference period, whilst total flows leaving each origin vary for each sub-period within the reference period. The advantage of this approach over conventional within-day dynamic estimators is that of reducing drastically the number of unknowns given the same set of observed time-varying traffic counts. Obviously, the gain in accuracy depends on how realistic is the underlying assumption that total demand levels vary more rapidly over time than o–d shares. Firstly, the paper proposes a theoretical specification of the quasi-dynamic estimator. Subsequently, it proposes empirical and statistical tests to check the quasi-dynamic assumption and then compares the performances of the quasi-dynamic estimator of o–d flows with both classical off-line simultaneous dynamic estimators and on-line recursive Kalman filter-based estimators. Experiments are carried out on the real test site of A4–A23 motorways in North-Eastern Italy. Results confirm the acceptability of the assumption of quasi-dynamic o–d flows, even under the hypothesis of constant distribution shares for the whole day and show that the quasi-dynamic estimator outperforms significantly the simultaneous estimator. Data also suggest that using the quasi-dynamic estimates instead of the simultaneous estimates as historical o–d flows improves significantly the performances of the Kalman filter, which strongly depends of the quality of the seed o–d flows. In addition, it is shown that the aggregation of quasi-dynamic o–d estimates across subsequent time slices represents also the most effective way to obtain o–d estimates for larger time horizons (e.g. hourly estimates). Finally, a validation based on an hold-out sample of link flows (i.e. counts not used as inputs in the o–d estimation/updating process) revealed the quasi-dynamic estimator to be overall more robust and effective with respect to the other tested estimators.