针对地质灾害隐患点的无人机航摄像控点布点方案

以陕西省某地质灾害隐患点1∶2000航飞生产任务为背景，本文结合垂直起降式无人机航摄技术特点和地质灾害隐患点区域实际情况，通过详细对比几种无人机航摄像控点布控方案的优劣，研究无人机像控点布设方案对空三加密精度的影响，总结了适用于不同地质灾害隐患点的像控点布设方案。通过本文研究，为今后制定地质灾害隐患点的无人机航摄像控点布设方案提供了参考依据。     

用层次分析法决策地下水库回灌方案的排序问题

本文引用了一种新的系统分析方法(层次分析法)对地下水库人工回灌的复杂系统进行了择优排序研究,取得了满意的结果。实践证明,层次分析法对于地下水库人工回灌方案的择优是一种简捷实用的决策方法。     

东营城区高精度三维地震采集方法研究

根据东营城区内建筑物较多，环境干扰较大，地下构造复杂，断裂非常发育，目的层埋藏深，资料信噪比较低的特点，以地震老资料和钻井资料为基础，建立地震地质模型，利用射线追踪技术选取合适的观测系统参数。充分利用卫星数字地图，没计了灵活多变的观测系统，采用可控震源与炸药震源配合使用方法，及时对城区内地下面元的覆盖次数、方位角和炮检距的分布进行质量监控，利用现场处理系统对资料进行及时分析，提高了地震资料品质。所获得的东营城区高精度三维地震采集资料显示，其浅中层分辨率和中深层信噪比都有了明显改善，取得了良好的地质效果。     

烟台套子湾八角深水港的开发研究

通过调查和比较，认为在我国渤海和北黄海南岸的套子湾八角海区是一个条件优越的深水港址，在阐述开发八角深水港的重要意义同时，根据城市布局规划和岸线及水域资源，参照国际港口未来发展趋势，结合我国对中、西部地区经济发展战略，对八角深水港的开发和布局进行了研究，为烟台市发展成为“现代化、国际型港口城市”，提出了港区未来建设的模式。     

Review of resource analysis and related studies: Working group,Mathematical Geology,freie Universität Berlin

The working group Mathematical Geology of the Freie Universität Berlin was formed in 1971. We review quantitative methods used by the working group since 1983 to treat mineral exploration problems. The methods applied vary from elementary statistical analysis of multivariate exploration data to optimal strategies for selecting favorable targets, and from multiobjective decision-making for additional drill hole locations to expert systems in exploration.The methods applied are directly related to the level of information at each stage of the exploration process. Special emphasis was placed on the relationship between and evaluation of subjective and objective data. Case studies illustrating the various methods are presented for different kinds of mineral deposits and exploration environments.     

房产测绘平面图系统的实现研究

随着城市规划管理的不断发展．使得城市房产测绘单位采用大型空间数据库管理测绘平面图资料成为必然。通过建立房产测绘平面图系统，可以有效地解决数据标准不一致．图数不能互访，测绘各部门无法协调一致等问题，充分发挥网络功能，提升整个城市的房产管理水平．达到房产管理和房产服务一体化的目标。本文详细论述了房产测绘平面图系统的概念、设计原则和系统功能．在南京数字房产共享平台的建设中得到了实现．并取得了良好的效果。     

Adjoint Sensitivity Analyses on the Anomalous Circulation Features in East Asian Summer Monsoon

ＡｄｊｏｉｎｔＳｅｎｓｉｔｉｖｉｔｙＡｎａｌｙｓｅｓｏｎｔｈｅＡｎｏｍａｌｏｕｓＣｉｒｃｕｌａｔｉｏｎＦｅａｔｕｒｅｓｉｎＥａｓｔＡｓｉａｎＳｕｍｍｅｒＭｏｎｓｏｏｎ①ＹａｎｇＹａｎ（杨燕），ＬｉＺｈｉｊｉｎ（李志锦）ａｎｄＪｉＬｉｒｅｎ（纪立人）Ｉ...     

THE OPTIMAL GRAINSIZE COMPOSITION OF SUSPENDED SEDIMENT OF HYPERCONCENTRATED FLOW IN THE MIDDLE YELLOW RIVER

LINTRODUCTIONThetributariesofmiddleYellowRiverarefamousintheworldforthehighestsuspendedsedimentconcentrationandsedimentyield.Forexample,atWenjiachuanstationofKuyeheRiverthemeasuredhighestsuspendedconcentrationis1700kg/m',andthemeanannualsedimentyieldis25000t/(kln'.a).Theformationofhyperconcentratedflowsandtheirinfluenceonerosionprocessesareofgreatimportancenotonlyfromatheoreticalpointofviewbutalsoforpracticalpurposes.Therefore,scientistsfromChinaandallovertheworldhavedrawntheirintensio…     

Optimal weighting in the finite difference solution of the convection-dispersion equation

Oscillation and numerical dispersion limit the reliability of numerical solutions of the convection-dispersion equation when finite difference methods are used. To eliminate oscillation and reduce the numerical dispersion, an optimal upstream weighting with finite differences is proposed. The optimal values of upstream weighting coefficients numerically obtained are a function of the mesh Peclet number used. The accuracy of the proposed numerical method is tested against two classical problems for which analytical solutions exist. The comparison of the numerical results obtained with different numerical schemes and those obtained by the analytical solutions demonstrates the possibility of a real gain in precision using the proposed optimal weighting method. This gain in precision is verified by interpreting a tracer experiment performed in a laboratory column.     

Extreme value theory based on the r largest annual events: a robust approach

In Smith (1986, J. Hydrol. 86, 27–43), a family of statistical distributions and estimators for extreme values based on a fixed number r > = 1 of the largest annual events are presented. The method of estimation was numerical maximum likelihood. In this paper, we consider the robust estimation of parameters in such families of distributions. The estimation technique, which is based on optimal B-robust estimates, will assign weights to each observation and give estimates of the parameters based on the data which are well modeled by the distribution. Thus, observations which are not consistent with the proposed distribution can be identified and the validity of the model can be assessed. The method is illustrated on Venice sea level data.