内蒙古阴山地区特异区域重磁场与深部构造

根据内蒙古阴山山系及邻近地区的布格重力异常分布特征，发现阴山、大青山山地和呼包盆地地区的布格重力异常分布与地形高程呈“同步型”的特异变化特征.而该地区航磁异常分布呈现为阴山山区是大面积负磁异常区，呼包盆地为强正磁异常区的特异磁异常分布特征.通过对地震、大地电磁数据、特别是重力数据资料的处理分析，给出阴山山系和呼包盆地地区的地壳结构，均表明地壳底界面都没有明显的下凹与上凸，且盆地北缘为两大块体的接触带.这些特征可能表征着阴山山系和呼包盆地重磁异常呈特异变化的一些原因.     

平凉C11井水位异常变化的地震前兆信息分析

着重分析1998年以来平凉C11井水位在西海固一平凉地区5次Ms〉4．0地震前的异常特征。通过分析得到的认识是，该井水位在Ms4．0以上地震前大都存在0．5a以上的趋势异常和年变规律的变化，震前1～2个月出现较丰富的短临前兆信息，如水位固体潮畸变、日潮差波幅增大、阶跃等微动态异常，这些分析结果曾在地震预报实践中发挥较好的作用。     

辽宁省北沟地区金矿地球化学特征及成矿预测

通过对北沟地区地球化学异常和已知矿体的研究,结合地质成矿环境,确定地球化学找矿指标,预测该区金矿找矿远景.     

西天山伊宁-新源-巴仑台地区铁矿找矿远景综述

文章利用地质、物探资料对新疆西天山地区铁矿成矿情况进行了分析,并指出可供进一步开展工作的成矿远景区.     

个旧老厂锡多金属矿田陡石阶测区断裂构造地球化学异常特征

为对研究区内可能存在的隐伏矿体进行定位预测，指导下一步找矿工作，采用构造地球化学的研究方法，对区内断裂构造地球化学异常特征进行了详细的分析研究。结果表明，本区断裂构造中，主要成矿元素Cu、Pb、Zn、Ag、Sn、Mn的空间浓度分布趋势大致呈现西(北)高东(南)低之势；元素组合异常明显，呈NE向带状展布；主要成矿元素及与成矿相关元素的异常表现出10个浓集中心。这些特点的总结和运用，对指导矿山生产和进一步找矿都具有现实意义。     

利用"激电异常-铜矿体-磁异常"有序分带的模式判断铜矿体赋存位置

以土层、延东斑铜矿的成矿特征为已知,简要介绍"激电异常-铜矿体-磁异常"有序分带的模式,重点介绍了又有磁异常又有激电异常时,隐伏矿体赋存位置的判断方法,以及仅有激电异常无相关的磁异常不成矿的原因。     

桂西岩溶堆积型铝土矿地质异常分析及基于GIS的找矿有利地段圈定

桂西岩溶堆积型铝土矿床受地层岩性、构造、岩溶地貌、气候与水文等因素控制。通过对岩溶堆积型铝土矿床地质异常的分析和识别,利用G IS技术圈定铝土矿找矿的有利地段,并预测其资源潜力。     

A New Approach for Border Detection of the Dumluca (Turkey) Iron Ore Area: Wavelet Cellular Neural Networks

Anomaly analysis is used for various geophysics applications such as determination of geophysical structure's location and border detections. Besides the classical geophysical techniques, artificial intelligence based image processing algorithms have been found attractive for geophysical anomaly analysis. Recently, cellular neural networks (CNN) have been applied to geophysical data and satisfactory results are reported. CNN provides fast and parallel computational capability for geophysical image processing applications due to its filtering structure. The behavior of CNN is defined by two template matrices that are adjusted by a properly supervised learning algorithm. After training stage for geophysical data, Bouguer anomaly maps can be processed and analyzed sequentially. In this paper, CNN learning and processing capability have been improved, combining Wavelet functions and backpropagation learning algorithms. The new architecture is denoted as Wavelet-Cellular Neural networks (Wave-CNN) and it is employed to analyze Bouguer anomaly maps which are important to extract useful information in geophysics. At first, Wave-CNN performance is tested on synthetic geophysical data, which are created by a computer environment. Then, Bouguer anomaly maps of the Dumluca iron ore field have been analyzed and results are reported in comparison to real drilling results.     

Two different methods of geoidal height determinations using a spherical harmonic representation of the geopotential, topographic corrections and the height anomaly–geoidal height difference

 It is suggested that a spherical harmonic representation of the geoidal heights using global Earth gravity models (EGM) might be accurate enough for many applications, although we know that some short-wavelength signals are missing in a potential coefficient model. A `direct' method of geoidal height determination from a global Earth gravity model coefficient alone and an `indirect' approach of geoidal height determination through height anomaly computed from a global gravity model are investigated. In both methods, suitable correction terms are applied. The results of computations in two test areas show that the direct and indirect approaches of geoid height determination yield good agreement with the classical gravimetric geoidal heights which are determined from Stokes' formula. Surprisingly, the results of the indirect method of geoidal height determination yield better agreement with the global positioning system (GPS)-levelling derived geoid heights, which are used to demonstrate such improvements, than the results of gravimetric geoid heights at to the same GPS stations. It has been demonstrated that the application of correction terms in both methods improves the agreement of geoidal heights at GPS-levelling stations. It is also found that the correction terms in the direct method of geoidal height determination are mostly similar to the correction terms used for the indirect determination of geoidal heights from height anomalies. Received: 26 July 2001 / Accepted: 21 February 2002     

近海多种卫星测高联合数据处理技术

海域海况复杂多变 ,潮汐不但受外海能量输入的控制 ,而且在复杂的海岸线、浅海海底和内陆河流运输的作用下变得异常复杂。卫星测高由于受复杂的海洋动力环境和陆地反射的影响 ,数据质量普遍较深海差。将多种卫星测高数据联合处理 ,可以大大提高近海海域平均海面高的精度与分辨率 ,增强测高卫星监测近海复杂动力现象与反演近海复杂动力机制的能力。本文讨论近海多种卫星联合数据处理的技术与方法 ,分别从提取海平面稳态和时变信息的角度较系统地研究了多种卫星测高联合数据处理方法 ,通过提取不同测高卫星海平面观测数据中与时间无关的系统偏差 ,建立多种卫星测高数据的海平面时变基准 ,从而将多种测高卫星海面监测数据融合到一个动力系统中。大大提高测高卫星海平面监测的时空分辨率 ,为联合多种卫星测高数据在大地测量与近海海洋动力学研究中的应用创造基本条件。