Application of visual,statistical and artificial neural network methods in the differentiation of water from the exploited aquifers in Kuwait

The ability of artificial neural network to differentiate water samples from the two aquifers of Kuwait on the basis of their major ion chemistry has been demonstrated. The major ion concentration distribution in the groundwater of the Kuwait Group and the Dammam Formation aquifers of Kuwait appears very similar. Cross-plots, supported by the discriminant function analysis of the data, however, suggest that there are some subtle differences in the overall composition of the water from the two aquifers that make it possible to differentiate the water from the two aquifers in almost 80% of the cases. An artificial neural network improved the differentiation capability to 90% of the cases. It is also possible to estimate the fraction of Kuwait Group water in the flow stream of dually completed wells with the help of an artificial neural network developed for this purpose. Electronic Publication     

A coupled,dynamical and chemical model for the prestellar core L1544: Comparison of modeled and observed C<Superscript>18</Superscript>O,HCO<Superscript>+</Superscript>, and CS emission spectra

We consider radiative transfer in C¹⁸O, HCO⁺, and CS molecular lines in a spherically symmetrical, coupled, dynamical and chemical model of a prestellar core whose evolution is determined by ambipolar diffusion. Theoretical and observed line profiles are compared for the well-studied core L1544, which may be a collapsing protostellar cloud. We study the relationship between the line shapes and model parameters. The structure of the envelope and kinematic parameters of the cloud are the most important factors determining the shape of the lines. Varying the input model parameters for the radiative transfer—the kinetic temperature and microturbulent velocity—within the limits imposed by observations does not result in any substantial variations of the line profiles. The comparison between the model and observed spectra indicates that L1544 displays a flattened structure, and is viewed at an oblique angle. A two-dimensional model is needed to reproduce this structure.     

郴桂地区中大比例尺成矿预测的方法与效果

郴桂地区是南岭多金属成矿带的重要地段，地质矿产工作研究程度较高，我院在此开展了大中比例尺成矿预测研究。本文扼要介绍了本区成矿预测的基本做法和预测方法，以及其主要成果和验证效果。     

地下水中氟形成的控制因素及其分布规律

本文研究了地下水中氟元素形成的主要控制因素及其分布规律。结果表明，地下水氟的形成与断裂构造，地下水温度、气候条件、含水介质及其上覆土层中的氟含量，地下水的酸碱度与径流条件有密切的关系。深成断裂脉状地下水和萤石矿区的地下水氟含量高，不有作为生活饮用水源； 而浅层的地下水氟含量较低，大多数仍作为生活饮用水源。     

安徽铜陵矿集区海底喷流沉积体系的流体包裹体微量元素对比

铜陵矿集区与铜-金(多金属)矿床有关的热液活动主要有两大体系。即与海西期海底喷流沉积有关的热液体系和与矽卡岩矿化有关的燕山期岩浆热液体系。查明这两类热液体系的流体包裹体特征对区域找矿和矿床成因研究都有实际意义。在包裹体岩相学研究基础上，应用ICP-MS技术和热爆提取方法，研究了新桥、冬瓜山、峙门口、铜官山、朝山等矿床具代表性的热液石英中流体包裹体的微量元素、稀土元素特征。结果表明，两类热液体系在流体包裹体特征上有较大的区别，在流体的微量元素和稀土元素特征方面也很不相同。海底喷流沉积体系的热液石英中流体包裹体与岩浆热液体系的相比。稀土总量较高，LREE／HREE比值较大，δEu不明显。且Mo／(W Sn)比值较高，反映流体中成矿物质的深源特征；Ga／T1、Rb／Cs大。Zr／Hf低，也不同于岩浆热液体系。     

长江中下游地区地下水中Mn元素的背景特征及其形成

该文论述了长江中下游地区地下水锰元素的背景特征及其与地下水的含水介质成分、上覆岩土性质、氧化还原环境、地下水的迳流条件、地下水及土壤酸碱度的关系.研究结果表明,长江中下游地区地下水中Mn元素含量,在区域上分布特点为江汉平原东部区〉长江三角洲南部区〉鄱阳湖区.