Error quantification of a high resolution coupled hydrodynamic-ecosystem coastal-ocean model: Part3, validation with Continuous Plankton Recorder data

Data collected during the Continuous Plankton Recorder (CPR) survey has been used to validate a three-dimensional hydrodynamic ecosystem model simulation of the North-west European Shelf for the years 1988–89. The CPR time series is unique to the North Atlantic region as a validation tool. Data were extracted from the model to correspond with those collected by the CPR survey, and both the model and survey plankton data were standardised to allow the comparison of model biomass with survey counts. Simple linear regression and absolute error maps provide a qualitative evaluation of spatio-temporal model performance of simulated diatoms, flagellates, total phytoplankton and omnivorous mesozooplankton. Comparisons of z-scores indicate that the model reproduces the main pelagic seasonal features, and there is good correlation between magnitudes of these features with respect to standard deviations from a long-term mean. The model is replicating up to 62% of the mesozooplankton seasonality across the domain, with variable results for the phytoplankton. There are, however, differences in the timing of patterns in plankton seasonality. The validation exercise has highlighted that the spring diatom bloom in the model is too early, suggesting the need to reparameterise the response of phytoplankton to changing light levels in the model. Errors in the north and west of the domain imply that model turbulence and vertical density structure need to be improved to more accurately capture plankton dynamics.     

Hydroelastic responses and interactions of floating fuel storage modules placed side-by-side with floating breakwaters

This paper is concerned with the hydroelastic responses and hydrodynamic interactions of two large floating fuel storage modules placed side-by-side with the presence of floating breakwaters. These modules and breakwaters form the floating fuel storage facility (FFSF). The floating storage modules and breakwaters are modeled as plates and the linear wave theory is used to model the water waves in the numerical model. The numerical model is verified with existing numerical results and validated with experimental test. Numerical simulations are performed to determine the hydroelastic behavior and hydrodynamic interactions of floating storage modules placed adjacent to each other and enclosed by floating breakwaters under various incident wave angles. The effects of breakwaters, drafts, channel spacing formed by the two adjacent modules and water depth on the hydroelastic responses of the modules are investigated. The wave induced responses of multiple floating storage modules enclosed by floating breakwaters are also examined.     

Do observations adequately resolve the natural variability of oceanic turbulence?

Especially in high Reynolds number, naturally-occurring flows, turbulence is a highly variable process. It is challenging to measure yet it is vital that we do so in order to quantify the internal transports of mass, nutrients, energy and momentum. Isolated turbulence profiles are difficult to interpret; systematic sampling and subsequent averaging are necessary. Confidence in our ability to properly sample turbulence arises from intergroup comparisons, comparisons with other methods to assess mixing coefficients and, most fundamentally, the constraints imposed by the governing fluid dynamics on both energy losses via viscous dissipation caused by turbulence and on the mixing that results from turbulence. Several examples in which fluid processes have been isolated from the full range of oceanic motions are reviewed in this light. These examples show how observationally-derived estimates of turbulence dissipation or mixing are consistent with larger scale constraints. The larger oceanographic problem of defining the full geographic variability of mixing remains.     

Long-memory characteristics of urban roadside air quality

Carbon monoxide is a major contributor to air pollution in urban cities, particularly at the roadside. Hourly, monthly and seasonal mean carbon monoxide concentration data are collected from a roadside air monitoring station in Hong Kong over 7-years. The station is a few metres from a major intersection surrounded by tall buildings. In particular, hourly patterns of concentrations on different days of the week are investigated. The data show that hourly carbon monoxide concentrations resemble the traffic pattern of the area and tend to be lower in the summer. Using a seasonal autoregressive integrated moving average models shows that the daily traffic cycle strongly influences concentrations. Further, it is found that urban roadside carbon monoxide monitoring data exhibits a long-memory process, suggesting that a model incorporating long memory and seasonality effects is needed simulate urban roadside air quality.     

黏性场地列车荷载影响下衬砌半渗透边界盾构隧道诱发地表固结沉降解

列车荷载作用下衬砌长期渗漏会显著影响软土盾构隧道周围土体的固结沉降，对邻近环境和地铁的安全运营造成不良影响。针对盾构隧道周围土体固结沉降的既有理论研究一般多考虑衬砌不透水条件，较少考虑衬砌渗漏水及列车荷载耦合作用对于地层固结沉降的影响。引入隧道衬砌半渗透边界和列车三角形循环时效荷载，基于Terzaghi-Rendulic固结理论，采用Boltzmann三元件模型模拟土体流变效应，推导了列车荷载作用下黏弹性地层盾构隧道渗漏水诱发的土体超孔隙水压力消散和地表固结沉降的复变函数解析表达式，并与6个工程实测数据进行对比，验证了所给出解析解的正确性与适用性。此外，通过参数分析讨论了衬砌-土体渗透比和列车荷载参数对土体固结沉降的影响。结果表明：衬砌-土体渗透比是影响盾构扰动地层固结快慢的主要影响因素，衬砌-土体渗透比越大，固结完成时间越早；列车荷载作用下，早期固结沉降速率相较于不考虑列车荷载时会有较明显的增加，但在列车荷载当量增加后，固结沉降速率的增长有所放缓，且其增量与衬砌-土体渗透比密切相关，衬砌-土体渗透比越大，沉降增加量则越大；隧道衬砌可以视为扰动地层的排水边界，其加速了土体固结沉降，而列车荷载与衬砌半渗透性耦合，进一步改变了土体固结沉降形态。     

“互联网+智能交通”市场进入发展黄金期

正1城市智能交通下一个创新风口统计结果显示,我国一线城市私家车保有量年平均增速达到20%。有限的城市土地供应和快速增长的城市交通需求之间的矛盾日益凸显。根据高德地图的研究,相比2015年,2016年调研的45座主要城市中有80%的城市延时拥堵指数加重。其中,北上广深的出行高峰时期平均每小时拥堵时间长达29 min,对于出行居民的个人年拥堵成本达到9 500元,相当于个人年均收入的     

Modelling and model predictive control for a bicycle-rider system

This study proposes a bicycle-rider control model based on model predictive control (MPC). First, a bicycle-rider model with leaning motion of the rider’s upper body is developed. The initial simulation data of the bicycle rider are then used to identify the linear model of the system in state-space form for MPC design. Control characteristics of the proposed controller are assessed by simulating the roll-angle tracking control. In this riding task, the MPC uses steering and leaning torques as the control inputs to control the bicycle along a reference roll angle. The simulation results in different cases have demonstrated the applicability and performance of the MPC for bicycle-rider modelling.     

Requirement-based testing of an automotive ECU considering the behavior of the vehicle

HILS (Hardware In the Loop Simulation) and RBT (Requirement-Based Testing) are widely used to evaluate the performance and reliability of automotive ECUs (Electronic Control Units). The HILS method is used to predict the behavior of ECU-installed vehicles and to evaluate the performance of ECU controllers. RBT evaluates whether the embedded system satisfies the pre-defined requirements. In this study, the behavior of a vehicle is regarded as a system requirement, and an embedded system test procedure that evaluates the system requirement is proposed. In particular, a new method is introduced, which integrates HILS with RBT. Using the proposed method, the behavior of an articulated vehicle equipped with an AWS (All Wheel Steering) ECU is evaluated with RBT software.     

Torque-based optimal vehicle speed control

This paper describes an optimal vehicle speed controller that uses torque-based control concepts. The controller design was divided into two steps: first, for a given vehicle speed trajectory, the engine torque demand was determined; in the second stage, a torque controller was implemented to track this torque demand. The torque demand was determined by a primary component and a correction component. The primary component was determined by solving an off-line optimization problem, and the correction component was added to compensate for the error caused by the off-line optimization. A modelbased proportional-integral (PI) feedback torque controller was employed to realize the engine torque tracking. Simulation results generated by a benchmark simulator were given to demonstrate performance of the optimal vehicle speed controller and a conventional PI speed controller that was included for comparison.