中国与周边接壤国家经贸关系探析

2l世纪80年代以来，世界经济进入了“地缘时代”，各个国家开始重新审视周边国家和地区在本国经济中的作用和发展潜力，并致力于发展同他们的经贸关系。中国历来奉行睦邻友好的对外政策，与周边接壤国家有悠久的经贸往来^[1]。90年代以来，这种经贸往来更符合中国的利益，对它进行研究具有较大的意义。在对周边16个接壤国家中已建交的14个国家与中国经贸关系进行分析的基础上，讨论其具有的优势特征、存在的问题及解决的办法。     

西藏冈底斯东段成矿系列区域地球化学预测

西藏冈底斯乐段优势矿床成矿系列预测是当前需要解决的重要问题。文中研究了成矿系列矿源场特征，以及地球化学靶区与矿床成矿系列的联系，揭示了矿化规模的地球化学控制因素，计算了因素耦合系数。预测冈底斯构造带是4种类型矿床成矿系列的密集区。     

江苏省若干代表站年降水量的多年变化和系列代表性分析

利用长系列雨量站资料，采用数理统计法分析了江苏省年降水量的多年变化，对1956—2000年、1956—1979年、1971—2000年、1980—2000年等短系列年降水量的系列代表性做出了分析评价，为合理选用水文系列提供了依据，对江苏省水资源调查评价和水资源综合规划具有重要的参考价值，可在生产中应用。     

b值在地震预测中的三类应用及其物理基础与须注意的问题

将b值在地震预测中的直接应用归为三类：1）根据b值的动态变化预测地震。2）根据G－R律求出各级地震平均复发周期或年均发生率，推测未来一定时段如50年或100年内发生各级地震的危险性。3）根据G－R直线在横轴的截距，预测强余震的震级。讨论了这三种用法的物理基础及现有工作中容易出现的问题。     

高维PP时间序列分析在地震预报中的应用

将投影寻踪(PP)与高维时间序列分析结合起来，建立了地震PP综合预测模型。并选取祁连山地区作研究区，做了未来三个月内最大震级的短期预测，经展望式检验，合格率(预测误差≤0．5或≤10％)≥80％。中根据实际需要提出建立一定震级门限(M≥4．0)的预测具有更好的效果。本预测模型还可增加自变量、维数和改变时间尺度，并运用到其他领域中。     

邛崃4.5级地震与震后趋势判断

邛崃地震发生后，成都市地震局很快做出反应，及时开展了地震考察并做出了正确的震后趋势判断，取得了较好的社会效益。     

最大熵原理与地震频度-震级关系

地震是一种随机事件 ,它的发生具有极大的不确定性 ,因而可以用熵来进行描述。地震以最无序的方式在各地发生 ,意味着地震熵达到了极大值。古登堡 (Gutenberg)和里克特 (Richter)根据资料和经验得出的地震频度 -震级关系式实际上是在给定的约束条件下 ,当地震熵取极大值时得到的一种负指数分布。文中从最大熵原理得出了同一形式的地震频度 -震级关系 ,使它的来源从理论上得到了解释     

鲁东官山榴辉岩与围岩接触关系的新发现及其对年代学的启示

鲁东官山榴辉岩呈透镜状包于变质含霓石碱性花岗岩中,榴辉岩的片麻理与主岩片麻理总体呈交切关系,局部可见变质含霓石碱性花岗岩呈细小岩枝状脉贯入榴辉岩中。变质含霓石碱性花岗岩锆石U-Pb法下交点年龄为231±25 Ma,上交点年龄为818±66 Ma。发现了闪长玢岩脉斜切式侵入榴辉岩及变质含霓石碱性花岗岩的接触关系,且闪长玢岩脉中有榴辉岩捕虏体,这种现象指示:闪长玢岩侵位时榴辉岩已折返至地壳较浅部位。研究表明,榴辉岩与变质含霓石碱性花岗岩共同经历了新元古代的超高压变质作用,但变质作用发生时含霓石碱性花岗岩可能处于熔融状态,榴辉岩是其中的固相包体。     

Interaction between two sliders in a system with rate- and state-dependent friction

This study examines slip recurrence patterns in a two-block spring-slider model with rate- and state-dependent friction. Both weak and strong heterogeneities are considered with different settings of coupling stiffness. The results show that the recurrence pattern of slips strongly depends on the degree of coupling between the two blocks. With strong coupling between the two blocks (e.g., kc/ki max >~1), the slip pattern of the system is simple and characterized by periodical stick-slips, with the two blocks slipping together. With strong heterogeneity in friction strength, period-2 motion is found for moderate coupling stiffness (kc/ki max=0.4) between the two blocks. More complicated patterns are found with weak coupling stiffness (kc/ki max=0.2) and strong heterogeneity. With strong heterogeneity, very weak coupling leads to chaotic slip patterns. With coupling stiffness kc=5 ki max and strong heterogeneity, chaotic slip patterns are not found, in contrast with the results by Huang and Turcotte who employed the classical static/kinetic friction law.     

Coupled inverse modelling of groundwater flow and mass transport and the worth of concentration data

This paper presents the extension of the self-calibrating method to the coupled inverse modelling of groundwater flow and mass transport. The method generates equally likely solutions to the inverse problem that display the variability as observed in the field and are not affected by a linearisation of the state equations. Conditioning to the state variables is measured by an objective function including, among others, the mismatch between the simulated and measured concentrations. Conditioning is achieved by minimising the objective function by gradient-based methods. The gradient contains the partial derivatives of the objective function with respect to: log conductivities, log storativities, prescribed heads at boundaries, retardation coefficients and mass sources. The derivatives of the objective function with respect to log conductivity are the most cumbersome and need the most CPU-time to be evaluated. For this reason, to compute this derivative only advective transport is considered. The gradient is calculated by the adjoint-state method. The method is demonstrated in a controlled, synthetic study, in which the worth of concentration data is analysed. It is shown that concentration data are essential to improve transport predictions and also help to improve aquifer characterisation and flow predictions, especially in the upstream part of the aquifer, even in the case that a considerable amount of other experimental data like conductivities and heads are available. Besides, conditioning to concentration data reduces the ensemble variances of estimated transmissivity, hydraulic head and concentration.