SEAWAT 2000: modelling unstable flow and sensitivity to discretization levels and numerical schemes

A systematic analysis shows how results from the finite difference code SEAWAT are sensitive to choice of grid dimension, time step, and numerical scheme for unstable flow problems. Guidelines to assist in selecting appropriate combinations of these factors are suggested. While the SEAWAT code has been tested for a wide range of problems, the sensitivity of results to spatial and temporal discretization levels and numerical schemes has not been studied in detail for unstable flow problems. Here, the Elder-Voss-Souza benchmark problem has been used to systematically explore the sensitivity of SEAWAT output to spatio-temporal resolution and numerical solver choice. A grid size of 0.38 and 0.60% of the total domain length and depth respectively is found to be fine enough to deliver results with acceptable accuracy for most of the numerical schemes when Courant number (Cr) is 0.1. All numerical solvers produced similar results for extremely fine meshes; however, some schemes converged faster than others. For instance, the 3rd-order total variation-diminishing method (TVD3) scheme converged at a much coarser mesh than the standard finite difference methods (SFDM) upstream weighting (UW) scheme. The sensitivity of the results to Cr number depends on the numerical scheme as expected.     

Assessment of regional karstification degree and groundwater sensitivity to pollution using hydrograph analysis in the Velka Fatra Mountains, Slovakia

Hydrograph analyses of groundwater depletion process in the spring were used for estimation of karstification degree and groundwater sensitivity to pollution in the whole catchment area. Differences of individual depletion hydrographs enable assessment of the anticipated extent of absorption, attenuation and self-purification processes during the groundwater penetration through the rock environment between its infiltration and its outflow in the spring. The method was applied in the SW part of the Velka Fatra Mountains (Slovakia) “Tlsta” hydrogeological structure. In total, 209 individual recession curves from 20 gauged springs were analyzed. Depending on characteristic groundwater depletion hydrographs with independent sub-regimes, categories of groundwater sensitivity to pollution were defined. Finally, resulting sensitivities to pollution were linked to lithostratigraphical units in the area.     

变形监测网的质量测度

对变形监测网络的质量测度－精度、灵敏度和可区分度进行了讨论，重点论述了它们之间的关系及应用的条件，并以算例加以论证。     

水稻水分生产函数时空变异规律研究

基于对水稻Jensen模型中敏感指数在全生育期变化规律的认识,以生长曲线函数建立了水稻敏感指数累积函数,分析了其特征,从而解决了不同长时段敏感指数转换计算问题。较全面地揭示了水稻水分生产函数及其敏感指数累积函数中主要参数随气象条件及土壤因子变化的规律。通过参照作物需水量及其频率以及不同地区土壤有效含水量为媒介,建立了对水分敏感指标在不同水文年份 (时间)和不同地区 (空间)进行预报的数学模型,据此提出了水稻水分生产函数在时、空两方面插补、延长、移用与扩展的理论与方法。借助于参照作物需水量等值线图及土壤分布图,探讨了绘制水分生产函数及其主要参数等值线图的原理和方法。     

地下水有机污染的水文地球化学标志物探讨——以河南油田为例

经过野外现场调查和取样分析及室内研究得知南阳油田地下水已遭受不同程度的有机物污染，且污染范围可能进一步向油田南部扩散。根据近似地下水流线方向上地下水中总油质量浓度和Fe,Mn等无机组分的变化势态，结合含水介质化学分析结果，发现硫酸盐、Fe和Mn可作为地下水有机污染和地球化学标志物。在含水介质中Fe和Mn质量浓度较高的地方，地下水有机污染物降解速度快，含水介质中Fe和Mn的氧化物和氢氧化物的还原作用导致了含水层介质中Fe和Mn的缺乏和地下水中溶解Fe和Mn的积聚；在含水介质中Fe和Mn质量浓度低的地方，地下水中的有机物质量浓度并没有降低，相应地地下水中溶解Fe和Mn的质量浓度也很低。同时，由于有机污染物的存在使地下水中硫酸盐被还原，导致城下水中硫酸盐质量浓度偏低，且地下水中Fe对有机物污染的敏感性比Mn强。     

Neuro‐control of seismically excited steel structure through sensitivity evaluation scheme

The neuro‐controller training algorithm based on cost function is applied to a multi‐degree‐of‐freedom system; and a sensitivity evaluation algorithm replacing the emulator neural network is proposed. In conventional methods, the emulator neural network is used to evaluate the sensitivity of structural response to the control signal. To use the emulator, it should be trained to predict the dynamic response of the structure. Much of the time is usually spent on training of the emulator. In the proposed algorithm, however, it takes only one sampling time to obtain the sensitivity. Therefore, training time for the emulator is eliminated. As a result, only one neural network is used for the neuro‐control system. In the numerical example, the three‐storey building structure with linear and non‐linear stiffness is controlled by the trained neural network. The actuator dynamics and control time delay are considered in the simulation. Numerical examples show that the proposed control algorithm is valid in structural control. Copyright © 2001 John Wiley & Sons, Ltd.     

Algorithm of Calculation of Lyapounov Coefficients for Analysis of Chemical Autooscillations, as Applied to Calcite Crystallization Model

The numerical algorithm of calculation of Lyapounov coefficients (L _k) of any order is developed. The apparatus of analytical calculations is not used in this algorithm. The proposed algorithm is of use for usual computer languages and allows us to find the numerical value of L _k for any k and to make complete qualitative analyses of dynamic models on the plane.     

计算机仿真模型的灵敏度分析

计算机仿真模型的灵敏度分析，是仿真建模中的重要研究内容，对实际系统的建立和优化具有重要意义。本文主要研究了在用蒙特卡洛方法仿真随机系统时，其仿真模型（输出）的灵敏度（导数、梯度、Ｈｅｓｓｉａｎ矩阵等），对系统性能函数和灵敏度的参数估计进行了探讨，并结合实际应用系统，对结论进行了分析比较。     

关于垂直分量磁变仪的灵敏度问题

目前国内地磁台垂直分量磁变以的灵敏度都普遍偏低，不能适应一些研究工作的需要，必须予以适当的提高，本文在基本不改变仪器固有灵敏度的前提下，采取记录光线二次反射法，以提高仪器的记录灵敏度，利用这种方法既使仪器的灵敏度提高一倍同时又保证了仪器原有的稳定性。     

Effects of magnitude accuracy and complete－ness data on seismic hazard parameters

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