应用GMS5多通道云图估计降水技术的研究

对近两年来5～8月中国东部地区120多个测站雨量观测资料和对应4400多幅GMS-5四个通道云图的研究发现：红外亮温的时间、空间变率、红外和水汽通道亮温差等云图衍生资料对消除卷云，弥补夜间缺少可见光云图的不足起到明显作用。从而，应用双判据双重MOS多元回归法建立四通道云图因子、衍生因子与降水量之间的回归方程，进行6小时分级降水估计。为了进一步消除厚卷云和特殊地形的影响，提出使用逐日实时资料自动建立多元回归方程估计降水量，从而对双判据双重MOS多元回归法估计结果进行校正。上海中心气象台的业务使用表明，总体估计的准确率达70％左右。     

利用敦煌辐射校正场对FY-2B静止气象卫星进行可见光通道的在轨辐射定标

FY-2B由于杂散光的影响，其可见光通道的发射前定标存在较大误差。利用敦煌戈壁滩辐射校正场可进行FY-2B可见光通道的在轨绝对定标。由于FY-2B对于敦煌场区的卫星天顶角接近50°，需要进行场地的方向特性BRDF修正。2002年7月对FY-2B进行了场地地表反射率、大气消光、探空等项同步测量，并对场地的方向特性进行了测量。资料处理结果表明，FY-2B可见光通道杂散光可影响定标精度达20%。长期监视表明FY-2B可见光通道探测器输出十分稳定。该文将4个可见光通道探测器场地定标得出的定标查找表列出，供用户参考使用。     

神经网络在判别煤矿突水水源中的应用

矿井突水水源的识别是矿井防治水工作的基础，快速准确地判别突水的来源对整个矿井的安全生产起着十分重要的作用。以峰峰矿区梧桐庄矿为例，应用神经网络的方法，对矿井突水水源进行了系统研究。结果表明，运用该方法取得了较好的效果，并可以用此模型来解决类似的评价和判别问题。     

人工神经网络在岩体质量分级中的应用

结合四川省金沙江某水电站工程实例，应用BP人工神经网络方法建立3层BP网络模型，选取岩石单轴抗压强度等6个影响因素为输入变量，对坝基复杂岩体进行质量分级。通过机算机Visual C 语言编程实现神经网络模型，进行网络的学习和运算。以神经网络合理结构分析方法选取合理结构，确定合理隐层单元的数量，提高网络测试的精度。对测试结果的分析发现，经过优化的BP网络模型经多次学习后，测试精度提高，结果可靠，取得较好的实际应用效果。     

昌马水库右岸山体稳定性研究

昌马水库导流排砂洞塌方导致右岸山体发生松动 ,本文在大量地质资料的基础上 ,对右岸岩体裂隙网络进行模拟 ,同时 ,采用极限分析能量法和有限元数值模拟方法等对右岸山体的稳定性进行分析研究 ,并提出相应的加固方案。     

Determination and application of the weights for landslide susceptibility mapping using an artificial neural network

The purpose of this study is the development, application, and assessment of probability and artificial neural network methods for assessing landslide susceptibility in a chosen study area. As the basic analysis tool, a Geographic Information System (GIS) was used for spatial data management and manipulation. Landslide locations and landslide-related factors such as slope, curvature, soil texture, soil drainage, effective thickness, wood type, and wood diameter were used for analyzing landslide susceptibility. A probability method was used for calculating the rating of the relative importance of each factor class to landslide occurrence. For calculating the weight of the relative importance of each factor to landslide occurrence, an artificial neural network method was developed. Using these methods, the landslide susceptibility index (LSI) was calculated using the rating and weight, and a landslide susceptibility map was produced using the index. The results of the landslide susceptibility analysis, with and without weights, were confirmed from comparison with the landslide location data. The comparison result with weighting was better than the results without weighting. The calculated weight and rating can be used to landslide susceptibility mapping.     

London and Frankfurt in Europe's evolving financial centre network

The launch of the Euro and the location of the European Central Bank in Frankfurt initially was seen as a threat to London's pre-eminent position in European financial geographies. This paper explains why in fact this was not the case. To do this, the paper is divided in two. Firstly, it reviews the literatures that help to explain financial geographies. It is argued that we need to move away from investigating attribute properties such as financial turnover and instead examine the role of networks and interdependencies in producing financial geographies. Secondly, it identifies London's dominance and Frankfurt's growth as a complementary centre through quantitative analysis and then explains how European networks and interdependencies produce this, based on insights from interviews with investment bankers and insurance institution workers in the two cities.     

概率神经网络与BP网络模型在遥感图像分类中的对比研究

通过分析概率神经网络(以下称PNN)的基本结构及其训练算法,建立了卫星图像分类的概率神经网络模型,并通过实例对比分析了概率神经网络与BP网络分类模型的分类效果。实验表明,PNN图像分类方法在分类精度上优于误差反向传播神经网络模型,且分类时间相当,是一种有效的图像分类方法。     

我国国家大地网的地壳形变改正探讨

以2000网为例，根据1991～2001年累积的GPS重复观测资料，利用GIPSY软件建立具有1115个测点的地壳运动模型。在此基础上，采用双三次样条函数数值拟合法，模拟出2000网网点相对西安基准站的地壳形变改正值，并给出了效果图。     

基于三角网渐进式简化的等高线多尺度综合

提出了一种基于三角网渐进式简化的等高线多尺度综合方法,实验结果表明,其不仅可以较好地保留地形特征,而且可以完全避免等高线相交现象的产生.