当代气候研究计划

就气候系统问题，国际上与气候及其变化有关的重要科学计划、尤其是气候变化及可预报性研究（CLIVAR）计划，作了简要介绍，同时还就气候预测问题作了讨论。     

暴雨时程方程在中吉乌铁路(中国段)暴雨估算中的应用

根据中吉乌铁路（中国段）沿线10多个气象水文观测站40多年（建站至2000年）各历时最大降水量资料，对中吉乌铁路（中国段）暴雨强度进行系统的研究。应用熵气象学导出的暴雨时程方程，预测了中吉乌铁路（中国段）各历时最大降水量。这对于中吉乌铁路（中国段）工程设计和施工及未来铁路客运等具有重要的科学意义和工程价值。     

东亚地区春冬季与夏季大气环流异常相互关系的研究

利用1951~2000年共50年的北半球500 hPa月平均高度距平场资料和奇异值分解技术（SVD），重点对东亚地区季节间大气环流异常的相互关系进行了初步探讨。结果表明，东亚地区季节间大气环流异常存在着较为密切的关联，并且这种明显的非同步联系具有时空相关显著的特点，尤其是夏季大气环流异常与其前冬和前春大气环流异常的联系更为密切。当前冬和前春北半球东亚大槽和北美大槽及蒙古高压偏强（或偏弱），极涡偏弱（或偏强），中高纬度盛行经向环流（或纬向环流），以及低纬和热带地区高度正距平（或负距平）明显时，则对应于夏季东亚地区西太平洋副高和鄂霍次克海阻高强度偏强（或偏弱），位置偏南（或偏北），贝加尔湖阻高强度也偏强（或偏弱），但位置偏西（或偏东）的大尺度环流形势出现。当春季北半球大气环流具有上述特点以及夏季鄂霍次克海阻高和西太平洋副高强度偏强（或偏弱），位置偏南（或偏北），且极涡较弱（较强）时，则东亚地区秋季大气环流对应于蒙古高压加强（或较弱），西太平洋副高减弱（或加强），并向南和向东移动（或移动较慢），极涡向南扩散（或扩散减弱），大气环流向冬季过渡加快（或减慢）。另外，大气环流异常还具有一定的持续性特征。     

油田污水中Fe2+,S2-,DO及pH值对HPAM-酚醛CDG成胶性能影响的研究

在对河南油田双河矿区油田污水进行全分析的基础上，研究了污水中Fe^2 ,S^2-，溶解氧（DO）及污水的pH值对有机交联体系聚丙烯酰胺（HPAM）－酚醛胶态分散凝胶（CDG）成胶性能的影响。研究结果表明，Fe^2 ,S^2－，DO及污水的pH值对HPAM－酚醛体系的成胶性能都有影响当ρ（Fe^2 )=1.6mg/L,ρ（S^2-)=0.1mg/L,ρ（DO）=1.6mg/L，HPAM－酚醛体系就不能成胶；随着污水pH值的增大，CDG强度变弱。     

班公湖—怒江构造带西段三叠纪—侏罗纪构造—沉积演化

班公湖－怒江构造带西段在大地构造位置上处于特提斯构造域东端，横跨班公湖－怒江断裂带。三叠纪－株罗纪期间，其构造－沉积演化经历了大陆初始裂谷（T）、原洋裂谷（J1）、残余弧后盆地（J2－J3）阶段。初始裂谷阶段的拉张是呈南断北超的半地堑式由东向西进行的，逐渐形成地堑式原洋裂谷盆地。中晚侏罗世，南部新特提斯洋壳开始北各俯冲,产生的区域挤压应力使原洋裂谷逐渐封闭，裂谷盆地的小洋壳表现出以南向俯冲为主的双向式腑冲，同时伴生区域热沉降，盆地具残余弧后盆地的性质。该阶段,羌南地区发育碳酸盐岩为主的稳定陆缘沉积，冈度斯－念青唐古拉板片北部则形成广泛南超的近源碎屑沉积。     

资源勘查图件计算机辅助编绘系统的结构分析与开发策略研究

如何站在信息系统的高度来进行资源图件计算机辅助编绘系统的快速开发，是资源信息系统领域计算机应用的一个重要研究课题。在结构分析的基础上，将资源图件计算机辅助编绘系统划分为图形数据库，应用图形系统和基础图形系统3个基本部分。对于复杂资源图件的计算机辅助编绘，需要地矿点源信息系统的支持。在基础图形系统上进行专业编绘程序的二次开发是高效建立图件编绘系统的最佳途径，并需注意GIS集成应用，三维可视化，人工智能和参数化设计等方法的运用，而系统平台开发是复杂应用的高级阶段。该思想可应用于煤及油气勘探，工程开发，矿区管理及区域地质等诸多领域的软件开发中。     

基于GM(1,1)优化模型的岩石边坡变形预报

岩石边坡系统是一典型灰色系统，其变形发展过程可以用灰色预测模型完成。尽管传统GM（1，1）模型预测有很多成功的实例，但是也存在一些预测偏差过大的情况，必须对其进行优化。逐步迭代法GM（1，1）模型不仅收敛速度快，而且与原始数据库序列的凹凸性保护一致。利用自编的计算程序对马步坎边坡预测测点G1沉降和开裂进行预测分析，结果表明逐步迭代法GM（1，1）优化模型计算精度较传统GM（1，1）模型和背景构造法GM（1，1）优化模型高，较好地反映了岩石边坡的变形趋势。     

Structural damage detection using the optimal weights of the approximating artificial neural networks

This work presents a novel neural network‐based approach to detect structural damage. The proposed approach comprises two steps. The first step, system identification, involves using neural system identification networks (NSINs) to identify the undamaged and damaged states of a structural system. The partial derivatives of the outputs with respect to the inputs of the NSIN, which identifies the system in a certain undamaged or damaged state, have a negligible variation with different system errors. This loosely defined unique property enables these partial derivatives to quantitatively indicate system damage from the model parameters. The second step, structural damage detection, involves using the neural damage detection network (NDDN) to detect the location and extent of the structural damage. The input to the NDDN is taken as the aforementioned partial derivatives of NSIN, and the output of the NDDN identifies the damage level for each member in the structure. Moreover, SDOF and MDOF examples are presented to demonstrate the feasibility of using the proposed method for damage detection of linear structures. Copyright © 2001 John Wiley & Sons, Ltd.     

Comparative response analysis of conventional and innovative seismic protection strategies

The paper presents a numerical investigation aimed at evaluating the improvements achievable through devices for passive seismic protection of buildings based on the use of shape memory alloys (SMA) in place of conventional steel or rubber devices. To get some generality in the results, different resisting reinforced concrete plane frames were analysed, either protected or not. ‘New’ and ‘existing’ buildings were considered depending on whether seismic provisions are adopted in the building design or not. Base isolation and energy dissipation were equally addressed for both conventional and innovative SMA‐based devices. Fragility analyses were performed using specific damage measures to account for comparisons among different damage types; the results were then used to estimate quantitatively the effectiveness of the various protection systems. More specifically, the assessment involved a direct comparison of the damage reduction provided by each protection system with respect to the severe degradation experienced by the corresponding non‐protected frame. Structural damage, non‐structural damage and damage to contents were used on purpose and included in a subsequent phase of cost analysis to evaluate the expected gains also in terms of economic benefits and life loss prevention. The results indicate that base isolation, when applicable, provides higher degrees of safety than energy dissipation does; moreover, the use of SMA‐based devices generally brings about better performances, also in consideration of the reduced functional and maintenance requirements. Copyright © 2002 John Wiley & Sons, Ltd.     

Multi‐objective optimal design of FLC driven hybrid mass damper for seismically excited structures

Structural vibration control using active or passive control strategy is a viable technology for enhancing structural functionality and safety against natural hazards such as strong earthquakes and high wind gusts. Both the active and passive control systems have their limitations. The passive control system has limited capability to control the structural response whereas the active control system depends on external power. The power requirement for active control of civil engineering structures is usually quite high. Thus, a hybrid control system is a viable solution to alleviate some of the limitations. In this paper a multi‐objective optimal design of a hybrid control system for seismically excited building structures has been proposed. A tuned mass damper (TMD) and an active mass driver (AMD) have been used as the passive and active control components of the hybrid control system, respectively. A fuzzy logic controller (FLC) has been used to drive the AMD as the FLC has inherent robustness and ability to handle the non‐linearities and uncertainties. The genetic algorithm has been used for the optimization of the control system. Peak acceleration and displacement responses non‐dimensionalized with respect to the uncontrolled peak acceleration and displacement responses, respectively, have been used as the two objectives of the multi‐objective optimization problem. The proposed design approach for an optimum hybrid mass damper (HMD) system, driven by FLC has been demonstrated with the help of a numerical example. It is shown that the optimum values of the design parameters of the hybrid control system can be determined without specifying the modes to be controlled. The proposed FLC driven HMD has been found to be very effective for vibration control of seismically excited buildings in comparison with the available results for the same example structure but with a different optimal absorber. Copyright © 2002 John Wiley & Sons, Ltd.