用于地球物理反演的均匀设计优化算法

将均匀设计、模拟退火和单纯形方法相结合，提出一种全局优化迭代算法．数值模拟表明，它具有搜索速度快、搜索能力强和不需要求导数的特点，可用于地球物理反演研究．     

我国山区人地系统结构及其变化趋势

以经济活动为主要依据，结合人群文化和环境生态特质，概括了我国山区人地系统基本结构类型．通过对人地系统结构变化的动力及作用机制分析，预测我国山区人地系统的主要变化趋势．从持续发展角度，提出了我国山区人地系统结构优化的特殊性及要点．     

水系的分形维数及其含义

在分述水系分维数的几个计算方法基础上，对两上试区采用地图照相缩小后扫描以及图象处理的方法提取河流信息，以计盒方法计算水系的分维数，并据此提出划以域地貌侵蚀发育阶段的方法。     

大地网三类设计的应变分析法

本文针对大地网三类设计的质量标准问题,提出了一种新方法:应变分析法。它可以根据区域性的尺度、旋转、变形三个应变参数的变化,来发现网的局部区域性系统差或粗差;并能较明晰地反映出新增观测值对原网的局部改进或细节改进。     

中国数字地震台网（CDSN）数据文件系统：—CDSN应用系列论文一

中国数字地震台网(CDSN)观测并生成的数字地震资料是开展数字地震学研究必不可少的高质量数据源。为了使科学家们更好地使用这些数据,本文主要从数字地震资料产生出的各个环节、数据结构与格式、数据物理量之间的换算向读者作概括的介绍.希望读者对数字化地震资料的数据文件、数据记录、数据字均能有透彻的理解,从而节省时间和精力,提高资料的使用率。     

Fast Nearest Neighbor Classification Methods for Multispectral Imagery

Nearest neighbor classifiers have not been widely used by remote sensing practitioners. The lack of acceptance of these classifiers may be partially due to their notoriously slow speed of execution which makes them impractical for the classification of mega-pixel images. However, training data reduction, distance measure optimization, and neighbor searching algorithms based on the modified k-d tree can speed nearest neighbor classification substantially.     

遗传算法在非线性地下水经济管理模型中的应用

通常采用基于梯度的数学规划方法求解地下水管理模型,如线性规划和非线性规划。但对于高度非线性、非凸的优化问题,尤其是涉及到经济或环境的地下水管理模型,传统方法难以有效地寻找全局最优解。本文介绍了一种求解非线性地下水资源管理模型的遗传算法,并以山东羊庄盆地分布参数地下水系统非线性管理模型为例,给出了用遗传算法在求解这类问题的一般步骤。结果表明该方法能快速有效地找到全局最优解。     

中国地震地形变国家级台网（定点）调优建议方案

根据我国现有地震地形变观测台网的实际情况，讨论了台网调整优化的基本原则及综合评估标准，并据以提出了调整优化后构成中国地震地形变国家级台网的４３个台站。     

An interval-parameter multi-stage stochastic programming model for water resources management under uncertainty

In this study, an interval-parameter multi-stage stochastic linear programming (IMSLP) method has been developed for water resources decision making under uncertainty. The IMSLP is a hybrid methodology of inexact optimization and multi-stage stochastic programming. It has three major advantages in comparison to the other optimization techniques. Firstly, it extends upon the existing multi-stage stochastic programming method by allowing uncertainties expressed as probability density functions and discrete intervals to be effectively incorporated within the optimization framework. Secondly, penalties are exercised with recourse against any infeasibility, which permits in-depth analyses of various policy scenarios that are associated with different levels of economic consequences when the promised water-allocation targets are violated. Thirdly, it cannot only handle uncertainties through constructing a set of scenarios that is representative for the universe of possible outcomes, but also reflect dynamic features of the system conditions through transactions at discrete points in time over the planning horizon. The developed IMSLP method is applied to a hypothetical case study of water resources management. The results are helpful for water resources managers in not only making decisions of water allocation but also gaining insight into the tradeoffs between environmental and economic objectives.     

共反射面叠加在实际地震资料处理中的应用

共反射面叠加方法运用3个地震波场参数来描述地下反射面元时距关系,不对地下反射界面形状做任何假设,并且是一种不依赖于宏观速度模型的反射波成像方法。共反射面叠加利用了邻近多个共反射点道集的相似性,提高了资料的覆盖次数,从而压制了随机噪声,增强反射波同相轴的连续性,大幅提高了地震资料的信噪比。通过在实际地震资料处理中的应用,证明了该方法的这些特性。