黄河下游壶穴的研究

黄河下游(泺口以下)发育了大量的壶穴(Pothole),按成因可以分为6种:流水侵蚀、风蚀、圆砾铸模、冰压刻、冰融水滴蚀及泄气侵蚀。流水侵蚀形成的圆形Pothole规模不一,小者直径在十余厘米,深数厘米,大者直径达数米,深1 m余;风蚀形成的圆形Pothole规模一般比较小,直径多在二、三十厘米以下,深10 cm以下,大部分穴壁缓斜,状如盘碟;圆砾铸模形成的Pothole规模一般较小,直径多在一、二十厘米以下、穴壁陡倾,状如锅穴;冰融水滴蚀形成的Pothole形态复杂,规模不一,既有穴壁缓斜的盘碟状者,也有穴壁陡倾近乎直立的近圆柱状者,直径从不足1cm到三、四十厘米,其穴缘、穴壁和穴底常有次级构造;泄气侵蚀形成的Pothole更是十分复杂,平面形态可以圆形到近圆形甚至其他复杂形态,穴壁可以非常平缓,也可以陡倾,直径从数厘米到数十厘米,深数毫米到二、三十厘米,穴缘和穴壁也常有次级伴生构造,既可单独产出,也可成群产出,同时还可以多个密集产出,状如蜂巢,这一类Pothole的成因极为独特,主要与黄河断流河床捕获的空气泄漏有关。     

熊耳山地区太古宙超镁铁质岩的地球化学特征及成因探讨

熊耳山地区太古宙超镁铁质岩在空间分布上具有不均一性、成带性和多方向性特征 ,岩石以橄榄岩、辉石岩、角闪石岩为主 ,蚀变强烈。岩石贫钙、镁 ,低铝、K2 O Na2 O,稀土总量较高 ,轻重稀土分馏显著。地球化学特征表明大部分超镁铁质岩体为岩浆侵入成因     

含油玄武岩中绿泥石的形成温度

以苏北盆地高邮凹陷闵桥地区含油玄武岩中的绿泥石为研究对象，探讨了其成因和形成温度，认为玄武岩中绿泥石有两种形成方式、五条形成途径：其一为蚀变演化，包括：火山玻璃、斜长石、辉石的蚀变，交代橄榄石斑晶，以及皂石的进一步演化；其二为沉淀结晶，包括从热液中直接沉淀生长和胶体溶液充填后的结晶。计算结果显示，蚀变演化形成的绿泥石，其形成温度为128－271℃；沉淀结晶形成的绿泥石，其形成温度为31－63℃。玄武岩中绿泥石形成温度与埋藏深度间没有明显的线性相关。进一步研究表明，本区玄武岩作为储油层，其进油时的温度为62－118℃，不超出48－137℃。     

A method to predict the group fissuring and faulting caused by regional groundwater decline

Ground fissuring is a recurrent problem in many countries where water extraction surpasses the natural recharge of aquifers. Due to differential settlement, the soil layer undergoes deformation and cracks with serious consequences for civil infrastructure. Here, we propose an approximate analysis of the fissuring process that can be used to predict the location of cracks, which increasingly affect some middle- and large-sized cities in the world. For that purpose, the ground loss theory is applied to sediments overlying a sinusoidal-shaped graben. This analysis shows the existence of a tensile zone at the border of the graben with maximal values on its shoulder where tension cracks are more likely to appear. It also shows that soil deformation under differential settlement may evolve into ground faulting if water withdrawal continues. Finally, when a crack has completely developed, the tensile zone shifts towards the center of the graben, creating a new area for potential cracking and faulting.     

Gold Occurrence and Ore Genesis,Yata Micro—Disseminated Gold Deposit,Guizhou,Southwest China

The mode of occurrence of gold in the Yata micro-disseminated gold deposit is ap-proached through chemical phase studies coupled with ore-dressing monitoring and micro-beam analysis.The results showed that gold occurred for the most part as ultra-microscopic particles adsorbed on the surfaces or fracture planes of pyrite and other sulphides.The proportions of gold of different occurrences were estimated solutions containing nanometer-sized gold particles were prepared following the hydrolysis-reduction procedure and the adsorption of nanometer-sized gold on ordinary sulphides and rocks was experimentally determined.It is evident that sulphides are good adsorbents of gold and this is consistent with geological observations.     

玛曲县格尔柯金矿床控矿地质条件及其矿床成因探讨

格尔柯金矿 (即大水金矿 )是产于西秦岭南带西倾山—迭山逆冲褶断带南缘的特大型金矿。矿床控矿地质条件为构造单元界断裂带、深源浅成花岗闪长斑岩小侵入体、下三叠统马热松多组 (T1m)碳酸盐岩沉积建造 ,与金矿关系密切的矿化蚀变有硅化、赤铁矿化、褐铁矿化和方解石化 ;矿床成因类型为层控—热水溶滤构造蚀变岩型。     

甘肃小柳沟钨多金属矿地质特征及成矿模式

小柳沟钨多金属矿于 90年代初发现 ,目前已具大型、超大型规模。共有 4个矿床。成矿主要与长城系朱龙关群和隐伏花岗岩有关。该矿床成矿物质来源具双重性 ,成矿温度为中高温 ,成矿流体为中等盐度 ,同位素计算模式年龄确定其成矿于加里东期。矿床成因属于火山喷发沉积—岩浆热液改造矿床。     

EFFECTS OF SOIL CRUSTING ON SOIL MOISTURE, RUNOFF AND EROSION: FIELD OBSERVATIONS

1 INTRODUCTION Soil crusting, or soil sealing, is one of the common phenomena in agricultural lands or semi-arid and arid soils. Due to the breakdown of soil aggregates by raindrops, soil surface develops a very thin, often less than a few millimeters, dense layer. Many studies indicated that such a thin layer significantly reduces infiltration capacity and increases surface runoff (i.e. McIntyre, 1958; Edward and Larson, 1969; Agassi et al., 1985; Bradford et al., 1986; Romkens et al.,…     

Fuzzy neural network models for liquefaction prediction

Integrated fuzzy neural network models are developed for the assessment of liquefaction potential of a site. The models are trained with large databases of liquefaction case histories. A two-stage training algorithm is used to develop a fuzzy neural network model. In the preliminary training stage, the training case histories are used to determine initial network parameters. In the final training stage, the training case histories are processed one by one to develop membership functions for the network parameters. During the testing phase, input variables are described in linguistic terms such as ‘high’ and ‘low’. The prediction is made in terms of a liquefaction index representing the degree of liquefaction described in fuzzy terms such as ‘highly likely’, ‘likely’, or ‘unlikely’. The results from the model are compared with actual field observations and misclassified cases are identified. The models are found to have good predictive ability and are expected to be very useful for a preliminary evaluation of liquefaction potential of a site for which the input parameters are not well defined.     

Development of site-specific design ground motions in Western and Eastern North America

This paper presents results recently obtained for generating site-specific ground motions needed for design of critical facilities. The general approach followed in developing these ground motions using either deterministic or probabilistic criteria is specification of motions for rock outcrop or very firm soil conditions followed by adjustments for site-specific conditions. Central issues in this process include development of appropriate attenuation relations and their uncertainties, differences in expected motions between Western and Eastern North America, and incorporation of site-specific adjustments that maintain the same hazard level as the control motions, while incorporating uncertainties in local dynamic material properties. For tectonically active regions, such as the Western United States (WUS), sufficient strong motion data exist to constrain empirical attenuation relations for M up to about 7 and for distances greater than about 10–15 km. Motions for larger magnitudes and closer distances are largely driven by extrapolations of empirical relations and uncertainties need to be substantially increased for these cases.

For the Eastern United States (CEUS), due to the paucity of strong motion data for cratonic regions worldwide, estimation of strong ground motions for engineering design is based entirely on calibrated models. The models are usually calibrated and validated in the WUS where sufficient strong motion data are available and then recalibrated for applications to the CEUS. Recalibration generally entails revising parameters based on available CEUS ground motion data as well as indirect inferences through intensity observations. Known differences in model parameters such as crustal structure between WUS and CEUS are generally accommodated as well. These procedures are examined and discussed.