壳幔混染作用——下扬子区早中生代玄武岩同位素地质特征

下扬子区中生代（231Ma）玄武质火山岩全岩εNd（t）值-8.62～1.92,87Sr/86Sr 值0.7074～0.7179，206Pb/204Pb值为17.786～18.323。岩石中含有前寒武纪捕虏晶锆石。研究表明玄武质岩石可能是由亏损地幔与元古宙地壳岩石混染作用的结果。     

扬子地台钾镁煌斑岩 Nd、Sr、Pb 同位素特征

扬子地台周缘钾镁煌斑岩 Nd、Sr同位素特征介于南非Ⅰ、Ⅱ型金伯利岩和西澳与北美钾镁煌斑岩两种变化趋势之间，不同岩区间同位素组成差异反映地台周边构造性质不同，Pb同位素特征表明晚太古代地幔岩石圈具U亏损特征。     

草簇状石墨烯片限域Pd纳米粒子及其催化应用(英文)

通过氨基离子液体改性石墨烯,并将其固载于堇青石表面,作为负载型Pd催化剂的载体.所制备的Pd催化剂经加氢老化后,表面石墨烯呈草簇状结构,将Pd纳米粒子限域于片层内,有效防止了Pd的流失和团聚.在重要的工业反应对羧基苯甲醛(4-CBA)加氢中,此结构催化剂与传统的钯碳催化剂相比,表现出很好的稳定性     

锶,硼和氟联合作用的亚急性毒理实验及环境意义

本文以自由饮水给药方式进行了锶、硼和氟联合作用的亚急性实验，以探讨锶、硼对氟的拮抗作用。实验结果，给予小鼠200×l0^-6 F 六个月后，可使其骨氟含量显著升高(P<0.01)，肾碱性磷酸酶活力(ALP)显著增高(P<0.01)，4、5个月后血清碱性磷酸酶(ALP)活力亦显著增高(P<0.O1)，同时给予80×l0^-1 B3+、100×l0^-6Sr2+ 时，可以显著降低骨氟含量，抑制血清、肾碱性磷酸酶的活力，表明锶与硼对氟存在拮抗作用。     

湖南黄金洞金矿毒砂中Au赋存状态的电子探针研究

本文利用ＪＸＡ－８８００Ｍ超大型电子探针，以湖南黄金洞金矿含金毒砂为研究对象。利用金特征Ｘ－射线扫描方法和微区含金含量，对不可见金赋存状态的研究方法和温试条件进行了探索，先观察背散射电子图像，排除金在含金矿物毒砂中呈显显微颗粒存在的可能性，继而用ＬｉＦ晶体测定金Ｌ＝８８．７６Ｌａｌ峰位，然后逐渐放大倍数（ｘ３００，ｘ１０００，ｘ５０００，ｘ３００００，ｘ２０００００）进行金特征，Ｘ－射线连续测量，，结果发现金元素总 是均匀分布在重砂中，从而证实了金呈品格金形式存在的推测。     

地理信息系统（GIS）在地下水领域中的应用及最新进展

ＧＩＳ是信息时代的产物，在地下水资源领域的研究日益广泛和深入。笔者着重阐述了ＧＩＳ在地下水领域的应用及最新发展，同时对ＧＩＳ在地下水应用中的优点和局限性提出了自己的观点。     

一个被动大陆边缘的“开”“合”史及找矿标志——以赣西北震旦系至下古生界为例

本文根据赣西北地区震旦系至志留系基本层序和板内构造演化,可把古板块构造发展划分为4个阶段:开裂期(Z_1l-Z_2p)以中、小规模的重力流和凝缩段为特征;成熟发展期(∈_1-∈_3~1),以沉降沉积作用为主;萎缩期(∈_3~2-O_2h)以大规模重力流和混生动物群为特征;闭合期(O_3-S_3)以双幕式沉积为特征。同时阐述了在板块发展的各个阶段,不能忽视其成矿作用。     

Transient electromagnetic responses in seafloor with triaxial anisotropy

Electrical anisotropy of young oceanic crust at mid-ocean ridges is detectable by observation of the rate and geometry of the diffusion of electromagnetic fields. The anisotropy in electrical properties arises from the presence of conductive seawater in an interconnected network of mostly ridge-parallel cracks. In this paper, we first justify the choice of a triaxial model to represent young oceanic crust, with three distinct electrical conductivities in the vertical, strike and spreading directions. We then present an algorithm to calculate the transient electromagnetic responses generated by an electric dipole source over such a triaxially anisotropic seafloor. We show that if the transient passages are measured with three distinct electric dipole-dipole configurations, it is possible to discern all three unknown conductivities independently of each other.     

浙江省安吉县山区竹类资源综合利用

安吉县竹类资源优势突出 ,使其综合利用已初具规模 .竹业工业已成为新兴工业门类 .竹业经济已是地方经济的一个台柱子 .但竹业结构不合理 ,竹制品雷同性大 ,增值率低 ,资源供需矛盾突出等日益明显 .对今后竹类资源综合利用和持续发展 ,提出了主要思路     

Recovering magnetic susceptibility from electromagnetic data over a one-dimensional earth

While the inversion of electromagnetic data to recover electrical conductivity has received much attention, the inversion of those data to recover magnetic susceptibility has not been fully studied. In this paper we invert frequency-domain electromagnetic (EM) data from a horizontal coplanar system to recover a 1-D distribution of magnetic susceptibility under the assumption that the electrical conductivity is known. The inversion is carried out by dividing the earth into layers of constant susceptibility and minimizing an objective function of the susceptibility subject to fitting the data. An adjoint Green's function solution is used in the calculation of sensitivities, and it is apparent that the sensitivity problem is driven by three sources. One of the sources is the scaled electric field in the layer of interest, and the other two, related to effective magnetic charges, are located at the upper and lower boundaries of the layer. These charges give rise to a frequency-independent term in the sensitivities. Because different frequencies penetrate to different depths in the earth, the EM data contain inherent information about the depth distribution of susceptibility. This contrasts with static field measurements, which can be reproduced by a surface layer of magnetization. We illustrate the effectiveness of the inversion algorithm on synthetic and field data and show also the importance of knowing the background conductivity. In practical circumstances, where there is no a priori information about conductivity distribution, a simultaneous inversion of EM data to recover both electrical conductivity and susceptibility will be required.