Physicochemistry and Mineralogy of Storm Dust and Dust Sediment in Northern China

Dust sediments collected from 1995 to 1998 in Beijing, Dunhuang, Inner Mongolia, Kashi, the Kunlun Mountains, Lanzhou, Ningxia, the Taklimakan Desert, and Xi‘an, China, were characterized in terms of their physical, chemical, and mineralogical properties. Most aerosols and dust analysed ranged in texture from silty clay to clay loam. Their median particle diameters (Mds) generally ranged between 5 to 63μm,coinciding with those of loess from central China and the finest sand from northwestern China. The dust sediments were characterized by a predominance of SiO2 and Al2O3, followed by K2O. Their SiO2/Al2O3and K2O/SiO2 molar ratios ranged from 5.17 to 8.43 and from 0.009 to 0.0368, respectively. The mass concentration spectrum during a dust storm showed a single peak, rather than the triple peak generally observed under clear sky conditions. The dominant minerals were chlorite, illite, calcite, and dolomite.These physical, chemical, and mineralogical properties were consistent with those of aeolian soils and loess in western and central China. The results suggest that aerosols and fine-gained fractions of dust sediments collected in northern China are mainly composed of soil material transported from the arid and semiarid regions of China and Mongolia by prevailing winds. The rate of deposition and properties of dust falling on eastern China were strongly influenced by meteorological conditions, season, latitude, longitude, and altitude of the sampling sites.     

Urban change detection related to earthquakes using an adaptive nonlinear mapping of high-resolution images

We propose a nonlinear mapping method for detecting geographical changes. In our system, two images photographed at different points of time are checked based on an iterative nonlinear mapping. The system automatically extracts feature changes of aerial imageries by computing distribution of the image matching score. We evaluate the change detection ability by using the receiver operating characteristic under misregistration cases, including rotational misalignments.     

女34断块水平井提高采收率开发实践

舍女寺油田女34断块是大港油区典型的低渗透块状砂岩断块油藏，由于储层严重的非均质性，注水开发见效快、水淹快，并且形成油藏次生底水，作为水平井技术改善低渗透油藏开发效果的先导试验区块，经过深入地质研究和可行性论证，又相继完钻2口水平井，同时进行注采井网调整，编制了水平井和直井采油、直井注水的混合外网调整方案，方案实施后，断块采油速度由0．6％提高到2．6％，采收率提高8个百分点，开发效果显改善，实践证明水半井技术是改善低渗透非均质断块油藏开发效果的有效手段之一。     

钱家店铀矿床U-Ra平衡系数特征研究

本文探讨了可地浸砂岩型铀矿U-Ra平衡系数的计算方法，研究了钱家店砂岩型铀矿床U-Ra平衡系数的变化特征。这些成果为钱家店铀矿床放射性测井数据的修正、矿体边界的确定、铀矿资源量的计算提供了科学依据。     

北秦岭二郎坪群低压变质作用研究

在对二郎坪群低压变质带进行相图分析后发现，二郎坪群低压变质带是叠加变质带，低压变质作用是在早期中压变质的抬升过程中发生的，中压变质的温压条件为0．5-0．6GPa、560～580℃，低压变质的压力为0．3-0．45GPa，红柱石-十字石带的温度为510～580℃，堇青石带为590-620℃。pT视剖面图在区分岩石中不同条件和期次的矿物组合及分析岩石温压演化历史和温压条件时显得更行之有效。     

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。     

载荷试验确定基床系数修正方法的讨论

Winkler地基模型是目前工程界应用最广的一种地基模型，但对其关键参数——基床系数k的确定，许多文献的表述并不一致。该文在大量试验资料的基础上，通过对该问题的深入研究，阐明了通过载荷试验确定基床系数修正方法的有关概念。对于砂性土地基，载荷板试验得出的基准基床系数仅需要进行基础大小修正，而对于粘性土地基，则需要进行基础大小和基础形状两项修正。     

区域水资源与社会经济协调程度评价研究

基于陈守煜多级多目标模糊模式识别模型，提出了区域水资源与社会经济协调程度评价模型。该模型利用级别特征值解决了多层多级多目标系统区域水资源与社会经济协调程度的评价，给出了多个目标隶属函数的计算公式。经分析比较，方法可行，结果合理。     

凤县二里河铅锌矿床后续地质找矿探讨

通过对八方山一二里河铅锌矿床的成矿规律研究和对二里河铅锌矿的成矿地质条件的分析。认为在二里河背斜北翼深部存在着盲矿体；在背斜向东侧伏部位仍存在着向东侧伏延伸的铅锌矿体；在主背斜南侧存在着有利的成矿地质条件及矿致TEM物探异常。在对背斜北翼的坑探找矿工作中，发现了盲矿体，取得了明显的找矿效果，并获得了宝贵的找矿经验。     

红透山矿床变质岩系褶皱构造特征浅析

红透山式铜-锌矿床形成于太古代克拉通裂谷槽盆中海底火山喷发-沉积环境。因此，矿床的空间展布严格受特定的含矿岩系所控制。槽盆构造中的岩层褶皱构造最发育，矿床赋存在具多期褶皱构造叠加的大型同倾向形褶皱内，褶皱的层间虚脱是控矿有利构造空间，可以借此预测矿体侧伏方向及赋存部位。