考虑渗透性变化时的充填粘土袋工程固结分析

充填粘土袋工程的固结过程中,充填土体的渗透性变化较大。利用非线性Biot固结理论,建立了考虑固结过程中土体渗透性变化的固结分析方法。利用该法对设计的某充填粘土袋围堰固结过程进行模拟分析对比。结果表明:考虑渗透性变化时其固结速度远快于不考虑渗透性变化时的固结速度。因此在充填粘土袋工程的固结变形中考虑其渗透性变化是非常必要的。     

汉江石泉枢纽下游非恒定流数学模型研究

汉江石泉枢纽运用后,其下游河道受日调节影响,水位陡涨陡落,碍航情况严重。文中建立了一维数学模型,利用汉江石泉水文站至汉王城68 km河段非恒定流资料对模型进行了验证,计算结果表明该模型稳定性好、准确可靠。选择石泉水文站若干个下泄过程组合概化了一种新的下泄过程,该下泄过程满足河道最低通航保证率的要求。     

地质灾害危险性评价指标规范化方法研究

阐述了评价指标规范化处理在地质灾害危险性评价中的重要作用;针对传统线性规范化处理方法在实际应用中存在的不足,对评价指标危险等级的取值论域进行处理;基于模糊数学理论,提出直线型和曲线型2种规范化处理方法,使地质灾害危险性评价指标规范化处理更合理、更符合实际情况。实例应用结果表明,该规范化处理方法能较真实地反映地质灾害危险性等级。     

A generalized model of pelagic biogeochemistry for the global ocean ecosystem. Part II: Numerical simulations

This paper presents a global ocean implementation of a multi-component model of marine pelagic biogeochemistry coupled on-line with an ocean general circulation model forced with climatological surface fields (PELAgic biogeochemistry for Global Ocean Simulations, PELAGOS). The final objective is the inclusion of this model as a component in an Earth System model for climate studies. The pelagic model is based on a functional stoichiometric representation of marine biogeochemical cycles and allows simulating the dynamics of C, N, P, Si, O and Fe taking into account the variation of their elemental ratios in the functional groups. The model also includes a parameterization of variable chlorophyll/carbon ratio in phytoplankton, carrying chl as a prognostic variable. The first part of the paper analyzes the contribution of non-local advective–diffusive terms and local vertical processes to the simulated chl distributions. The comparison of the three experiments shows that the mean chl distribution at higher latitudes is largely determined by mixing processes, while vertical advection controls the distribution in the equatorial upwelling regions. Horizontal advective and diffusive processes are necessary mechanisms for the shape of chl distribution in the sub-tropical Pacific. In the second part, the results have been compared with existing datasets of satellite-derived chlorophyll, surface nutrients, estimates of phytoplankton community composition and primary production data. The agreement is reasonable both in terms of the spatial distribution of annual means and of the seasonal variability in different dynamical oceanographic regions. Results indicate that some of the model biases in chl and surface nutrients distributions can be related to deficiencies in the simulation of physical processes such as advection and mixing. Other discrepancies are attributed to inadequate parameterizations of phytoplankton functional groups. The model has skill in reproducing the overall distribution of large and small phytoplankton but tends to underestimate diatoms in the northern higher latitudes and overestimate nanophytoplankton with respect to picoautotrophs in oligotrophic regions. The performance of the model is discussed in the context of its use in climate studies and an approach for improving the parameterization of functional groups in deterministic models is outlined.     

A macroscopic theory of two-lane rural roads

A macroscopic theory for predicting the operation on two-lane, two-way roads is proposed. In this theory, the interaction between fast and slow vehicles obeys Newell’s kinematic wave theory of moving bottlenecks. Calibration is not required as all parameters are fully observable. Closed-form expressions for the capacity, average speed, percent time spent following and overtaking rates are proposed and the biases of current practice are identified. Comparisons between the proposed theory and empirical data are also included.     

Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models

Marine ecosystem models are becoming increasingly complex and sophisticated, and are being used to estimate the effects of future changes in the earth system with a view to informing important policy decisions. Despite their potential importance, far too little attention has been, and is generally, paid to model errors and the extent to which model outputs actually relate to real-world processes. With the increasing complexity of the models themselves comes an increasing complexity among model results. If we are to develop useful modelling tools for the marine environment we need to be able to understand and quantify the uncertainties inherent in the simulations. Analysing errors within highly multivariate model outputs, and relating them to even more complex and multivariate observational data, are not trivial tasks. Here we describe the application of a series of techniques, including a 2-stage self-organising map (SOM), non-parametric multivariate analysis, and error statistics, to a complex spatio-temporal model run for the period 1988–1989 in the Southern North Sea, coinciding with the North Sea Project which collected a wealth of observational data. We use model output, large spatio-temporally resolved data sets and a combination of methodologies (SOM, MDS, uncertainty metrics) to simplify the problem and to provide tractable information on model performance. The use of a SOM as a clustering tool allows us to simplify the dimensions of the problem while the use of MDS on independent data grouped according to the SOM classification allows us to validate the SOM. The combination of classification and uncertainty metrics allows us to pinpoint the variables and associated processes which require attention in each region. We recommend the use of this combination of techniques for simplifying complex comparisons of model outputs with real data, and analysis of error distributions.     

破碎围岩中连拱隧道荷载计算理论解

针对连拱隧道围岩、结构整体受力和受力敏感分析不明确的问题,提出按岩体结构观点对连拱隧道围岩进行分类,即分成连续介质围岩、碎裂介质围岩、块裂介质围岩和板裂介质围岩。将碎裂介质围岩、块裂介质围岩和板裂介质围岩称为破碎围岩。建立破碎围岩的力学模型,求破碎围岩中连拱隧道荷载的理论解。     

Validation of a schedule‐based capacity restraint transit assignment model for a large‐scale network

This paper describes the application of a capacity restraint trip assignment algorithm to a real, large‐scale transit network and the validation of the results. Unlike the conventional frequency‐based approach, the network formulation of the proposed model is dynamic and schedule‐based. Transit vehicles are assumed to operate to a set of pre‐determined schedules. Passengers are assumed to select paths based on a generalized cost function including in‐vehicle and out‐of‐vehicle time and line change penalty. The time‐varying passenger demand is loaded onto the network by a time increment simulation method, which ensures that the capacity restraint of each vehicle during passenger boarding is strictly observed. The optimal‐path and path‐loading algorithms are applied iteratively by the method of successive averages until the network converges to the predictive dynamic user equilibrium. The Hong Kong Mass Transit Railway network is used to validate the model results. The potential applications of the model are also discussed.     

三峡枢纽泄洪、船闸输水及电站调峰对通航条件的影响

回顾了三峡枢纽通航水流条件的研究工作,介绍了研究的进展和取得的成绩,指出了存在的问题和努力的方向。     

一类运输工具带双重能力约束的LRP问题

分析了一类运输工具受双重能力约束的LRP问题，即在物流网络节点最大单批处理能力及运输工具总运输能力双重约束的情况下,如何进行物流中心选址和运输路线安排，使总的费用最小,模型假设网络系统满足如下条件：①节点的最大单批处理能力是逐层变化的，②货物只能用不同运输工具经过某一物流中心进行中转运输．文中建立了混合整数规划模型，提出了一种优化算法，并用优化算法对实例进行求解．