冰封期水动力水质模型在松花江水污染事件中的应用

根据研究流域特点建立了冰封期水动力水质模型,结合冰封期水位测量的特点,对水位模拟结果进行了修正,分别利用2006和2007年水文监测数据对模型进行了率定和验证,利用模型对2005年松花江硝基苯水污染事件进行模拟。计算结果表明:建立的冰封期水动力水质模型能够很好地适用于该地区,部分断面硝基苯质量浓度峰值的相对误差为5%~13%,峰值出现时间的绝对误差为2~3 h。利用模型预测了上游边界流量增加20%及减少5%对水质的影响,结果表明:流量增加导致污染团峰值提前22 h到达摆渡河断面,硝基苯质量浓度峰值降低了15%,流量减少导致峰值延迟6 h到达摆渡河断面,质量浓度峰值升高了4.6%。     

山地冰川流动模型探讨

近30 a来冰川动力学模型有了快速发展, 在南极、 格林兰冰盖预测中取得一系列重要成果, 对山地冰川的研究也初见端倪. 从冰川流动的力学过程出发, 利用本构方程、 理想冰川假设、 浅冰层近似(Shallow ice approximation)假设完整地推导了理想冰川流动的物理过程, 揭示了冰川流动的机理, 建立了气候变化和冰川自身重力引起的理想冰川物质和能量再分配的温度耦合三维流动模型. 结合山地冰川的冰床形态, 将理想冰川与实际冰川相结合, 使理想冰川流动模型更好地近似山地冰川的流动.     

Quantitative assessment on the influence of heavy rainfall on the crystalline schist landslide by monitoring system -case study on Zentoku landslide, Japan

On Shikoku Island, which is one of the four main islands of Japan, a large number of large-scale crystalline schist landslides have been revealed and are being monitored by an observation system. Seasonal heavy rainfall is the most active meteorological factor that can threaten the stability of this kind of site-specific landslide. In this paper, on the basis of the study of the rainfall-related behavior of a typical crystalline schist landslide, the Zentoku landslide, by analyzing the precisely and continuously observed piezometric and movement data, a method was developed to quantitatively assess the effect of heavy rainfall on a large-scale landslide. The results indicated that heavy rainfall-induced landslide displacement shows good correlation with the variation of groundwater levels. Variations of groundwater level have been simulated with the use of a tank model. The simulation using this model permits the change in water levels for future rainfall events to be predicted. By combining the predicted results with the empirical relation between displacements and water levels, rainfall-induced landslide movement during extreme rainfall events can be estimated in advance. The effect of heavy rainfall on sliding behavior can be quantified in terms of the change in displacement. Thus warning information or advisories for the local residents can be provided.     

The Potential of Fuzzy Multi-objective Model for Rainfall Forecasting from Typhoons

This study applies the fuzzy multi-objective approach to forecast short-term (around 24 h) typhoon rainfall, which can be implemented without much background meteorological knowledge. The physical characteristics of 40 typhoons, including route, central pressure, central velocity and cyclonic radius, were used as the data set. The fuzzy multi-objective method mined information from the database to forecast both the depth and pattern of rainfall, which were then combined to estimate a cumulative rainfall curve. The results of calibration with reference to 40 historical typhoon events and the results of validation using another five typhoon events indicate that the proposed model has the potential to forecast short-term cumulative rainfall curves if more variables can be included and more historical typhoon events can be collected to enlarge the database.     

A non-linear stress-stiffness model for geomaterials at small to intermediate strains

A double exponential fitting model (DEFM) capable of expressing the non-linear stress-stiffness relationship of geomaterials has been proposed by Shibuya et al. (1997). The model comprises two material constants; the elastic stiffness at very small strains and the strength, together with other free parameters to determine the complete stress-stiffness relationship. In this paper, the capability of the original function used for DEFM in simulating the tangent stiffness-stress relationship of geomaterials is first discussed. Second, the methods for determining the free model parameters, as well as its conversion to obtain a stress-strain relationship are proposed. The applicability of DEFM to predicting non-linear stress-stiffness relationship is examined in detail in a total of forty-nine fitting cases of compression test data on sedimentary rock, artificial soft rock and soft clay. It is found that the DEFM is effective in expressing the non-linear stress-stiffness relationship of various kinds of geomaterials at small to intermediate strains, say less than 0.5%. The superiority of this model compared to other fitting models currently in use is also demonstrated in some of the fitting cases.     

基于多层DEM与QTPV的混合数据模型及其在地质建模中的应用

提出一种基于多层DEM与似三棱柱体元（QTPV）的混合三维数据模型。模型包含顶点、线段（棱边、三角形边）、三角形、侧面四边形、似三棱柱体元和DEM 6个基本元素,同时包含点对象、线对象、面对象、体对象、复杂对象、空间对象等6个对象。设计了6个基本元素和2种地质对象的数据结构和它们之间的拓扑关系。研究了基于原始采样点和基于内插点的两种建模方法。以模拟数据和地质钻探数据对开发的原型系统进行验证。研究表明,基于多层DEM与似三棱柱体元的混合三维数据模型具有同时表达空间对象的表面和内部结构的能力,适合地质勘探领域的三维建模。     

地层模型的三维实体显示与剖切

本文介绍了地层模型的三维实体显示的原理与方法，同时又提出了沿任意方向垂直剖切地层模型的一种实用有效算法，它已用于交互式三维地层矿床显示系统ＧＤ－３ＤＷＳ，是三维地质解释的很好工具     

Numerical modeling of tide-surge interaction along Orissa coast of India

The Orissa coast of India is one of the most vulnerable regions of extreme sea levels associated with severe tropical cyclones. There was extensive loss of life and property due to the October 1999 super cyclone, which devastated large part of the Orissa coast. The shallow nature of the head bay, presence of a large number of deltas formed by major rivers of Orissa such as Mahanadi and Dhamra, and high tidal range are responsible for storm surge flooding in the region. Specifically, rising and falling tidal phases influence the height, duration, and arrival time of peak surge along the coast. The objective of the present study is to evaluate the tide-surge interaction during the 1999 Orissa cyclone by using nonlinear vertically integrated numerical models. The pure tidal solution for the head bay region of the Bay of Bengal provides the initial condition for the fine resolution nested grid Orissa model. However, the feedback from the Orissa model does not affect the head bay model as the study provides a one-way interaction. Numerical experiments are performed to study the tide-surge interaction by considering various relative phases of the tidal waves with the surge-wave produced by 1999 Orissa cyclone. The comparison, although utilizing only the limited estimates of tidal data, appears adequate to assert that the principal features are reproduced correctly.     

层状矿体等高线离散化后的四面体建模

基于不规则四面体的三维实体建模方法具有很多优点,但在层状矿体的建模中,该方法却不能准确地描述其层状界面。根据层状矿体建模数据的特点,先将层状矿体的等高线进行等距离散化,再建立不规则四面体三维实体模型,并为该方法设计由点、面和四面体组成的逻辑模型结构。该方法用VC++.net编程得以实现,并使用内蒙某煤矿的实际数据,建立了相应的矿床三维实体模型。实践表明,通过离散化等高线后建立的层状矿体四面体模型,能够准确反映出层状矿体的层状界面,实现对层状矿体的三维实体建模。     

利用旁压试验的砂土初始状态反演分析

讨论了砂土旁压试验的反分析问题。建议利用旁压试验实测数据反演确定土体的初始状态而非材料参数,材料参数可以通过实验室常规试验确定。主要利用了新型的亚塑性本构模型参数不受土体状态影响的特点。主要内容包括：建立有限元数值模型,利用文献中的试验数据确定了特定砂土的材料参数;通过模拟砂土的实验室旁压试验,验证了数值模型;通过改变土体初始应力状态和相对密实度进行数值计算,并利用数值计算成果,建立了可适用于砂土初始状态反演分析的实测旁压荷载和土体中应力与相对密度的数学关系。