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201.
202.
锂同位素研究是非传统稳定同位素地球化学研究的前沿,已广泛应用于从地表到地幔的岩石圈及流体等固体地球科学的研究领域。准确测定锂同位素比值是应用该同位素体系的前提。本文报道了国际上7种常用地质标准物质(BHVO-2、JB-2、BCR-2、AGV-2、NKT-1、L-SVEC、IRMM-016)的锂同位素组成数据。分析中采用硝酸-氢氟酸混合酸消解岩石标准样品,通过3根阳离子交换树脂(AG50W-X8,200~400目)填充的聚丙烯交换柱和石英交换柱对锂进行分离富集,利用Neptune型多接收器电感耦合等离子体质谱(MC-ICPMS)测定锂同位素比值,使用标准-样品交叉法(SSB)校正仪器的质量分馏。实验得到这7种常用地质标准物质的锂同位素组成与测试精度(2SD)分别为:δ7LiBHVO-2—L-SVEC=4.7‰±1.0‰(n=53),δ7LiJB-2—L-SVEC=4.9‰±1.0‰(n=20),δ7LiBCR-2—L-SVEC=4.4‰±0.8‰(n=8),δ7LiAGV-2—L-SVEC=6.1‰±0.4‰(n=14),δ7LiNKT-1—L-SVEC=9.8‰±0.2‰(n=3),δ7LiL-SVEC—L-SVEC=-0.3‰±0.3‰(n=10),δ7LiIRMM-016—L-SVEC=0.0‰±0.5‰(n=10),这些数据在误差范围内与国际上已发表的数据一致。Li同位素分析精度可以达到大约0.5‰,长期的分析精度即外部重现性≤±1.0‰,达到了国际同类实验室水平。7种常用地质标准物质的锂同位素组成数据的发表为锂同位素研究提供了统一的标准,使地质样品的锂同位素数据的质量监控成为可能。在基质效应的研究中,使用不同量的IRMM-016配制的标准溶液过柱,深入探讨了样品量对锂同位素测定值的影响,结果表明,在现有测试精度下,只要分析样品的锂含量达到100μg/L,且不超过树脂的承载量,样品的锂同位素组成在误差范围内与真值吻合,样品量的大小不影响锂同位素测定结果的准确性。 相似文献
203.
The style of deformation in thin-skinned fold-and-thrust belts is critically dependent upon the resistance to sliding along the detachment between the mass of deforming sediments and the underlying rocks. Evaporites can provide an extremely weak horizon within which a basal detachment can form and along which only a relatively small shear traction can be supported. Fold-and-thrust belts that form atop a salt layer, such as the Appalachian Plateau, the Franklin Mountains in northwestern Canada, and the Jura of the Alps, among others, share several readily observable characteristics. As predicted by a simple mechanical model for fold-and-thrust belts, a detachment in salt permits a thrust belt to have an extremely narrow cross-sectional taper. In addition, predicted orientations of the principal stress axes over a salt décollement are consistent with the commonly observed lack of a consistently dominant vergence direction of structures within the thrust belt. Other common attributes of salt-basal thin-skinned deformation include the presence of several widely but regularly spaced folds and abrupt changes in deformational style at the edge of the salt basin. 相似文献
204.
Sensitivity analysis of groundwater level in Jinci Spring Basin (China) based on artificial neural network modeling 总被引:2,自引:1,他引:2
Jinci Spring in Shanxi, north China, is a major local water source. It dried up in April 1994 due to groundwater overexploitation. The groundwater system is complex, involving many nonlinear and uncertain factors. Artificial neural network (ANN) models are statistical techniques to study parameter nonlinear relationships of groundwater systems. However, ANN models offer little explanatory insight into the mechanisms of prediction models. Sensitivity analysis can overcome this shortcoming. In this study, a back-propagation neural network model was built based on the relationship between groundwater level and its sensitivity factors in Jinci Spring Basin; these sensitivity factors included precipitation, river seepage, mining drainage, groundwater withdrawals and lateral discharge to the associated Quaternary aquifer. All the sensitivity factors were analyzed with Garson’s algorithm based on the connection weights of the neural network model. The concept of “sensitivity range” was proposed to describe the value range of the input variables to which the output variables are most sensitive. The sensitivity ranges were analyzed by a local sensitivity approach. The results showed that coal mining drainage is the most sensitive anthropogenic factor, having a large effect on groundwater level of the Jinci Spring Basin. 相似文献
205.
Li同位素是一种新兴的非传统稳定同位素示踪工具,在地质学、地球化学研究中具有广阔的应用前景。目前,Li同位素溶液分析技术主要采用热电离质谱仪(TIMS)和多接收电感耦合等离子质谱仪(MC-ICP-MS),与TIMS相比,MC-ICP-MS具有分析精度高、样品量少、测试速度快等诸多优点。本研究团队近年来建立了MC-ICP-MS高精度Li同位素分析方法,在天然样品、标准物质以及石英包裹体的Li同位素测定中都取得了良好结果。以此为依托,研究团队建立了适用于西藏本地岩石成因研究的Li同位素地质端元,并将Li同位素应用于青藏高原岩石圈结构及其隆升历史、川西碳酸岩型稀土矿床富集机制、四川呷村VMS型矿床成矿流体来源和四川甲基卡硬岩型Li矿床富集机理等方面。本文比较详细地综述了这些研究进展,旨在加深对Li同位素溶液分析技术的理解,展示其在地球化学研究中的良好应用前景。 相似文献
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207.
班公湖蛇绿混杂岩带内分布着一系列小型斜长花岗斑岩和花岗闪长岩岩体,锆石U-Pb年龄分别为97.4±1.1Ma和91.94±0.78Ma,具埃达克质岩特征,高SiO2、Al2O3和Sr,低Y和Yb,Sr/Y>35,轻重稀土分异明显,亏损Nb、Ta和Ti,Cr和Ni含量很低,推测为玄武质岩浆底侵加厚下地壳部分熔融形成。辉石闪长岩脉分布于南侧日土花岗岩内,推测年龄为80~76Ma,岩石地球化学显示亏损Zr、Hf、Ti、Y等高场强元素,富集大离子亲石元素,且具较高的Sc、Y、Cr、Co、HREE和Mg#值(>40),源区为经过熔体交代的上地幔。结合前人资料,本文认为班公湖地区在97~92Ma仍处于持续碰撞造山、地壳加厚过程中;92Ma之后,构造体制从碰撞期的挤压转变为碰撞后的板内伸展;80~76Ma,板内的伸展进一步加剧。 相似文献
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209.
Rui Zuo Xiaojuan Chen Xianbo Li Dan Shan Jie Yang Jinsheng Wang Yanguo Teng 《Environmental Earth Sciences》2017,76(17):629
Nitrogenous pollutants from intense human activities have become serious environmental and health problems worldwide, particularly in groundwater source areas used for public water supply. To investigate the genesis and pollution risks associated with elevated concentrations of ammonium nitrogen in a groundwater source area, investigations were undertaken in the Jinji groundwater source area, located in an arid loess plain in northwestern China where 16 groundwater samples were collected from an aquifer used for water supply. The investigation indicated that high concentrations of ammonium nitrogen originated mainly from: infiltration of water from the Yellow River; livestock; and the discharge of industrial wastes. Measured parameters including pH, the permanganate index and the oxidation reduction potential could be used as important indicators of the genesis of ammonium nitrogen. A modified DRTCLN model was applied to the observed distribution of ammonium nitrogen to assess pollution risk of regional groundwater. The model was optimized by rebuilding the index system, and the analytic hierarchy process was used to calculate the rating scale of each index. A Monte Carlo simulation was performed to analyze the uncertainty of results of the risk assessment. The result showed that the risk value is relatively low in most areas of the groundwater source area. Only an industrial area in the southwestern part of the groundwater source area was classified as high risk; it should be the key factor of pollution control. 相似文献
210.
干热岩是一种新型清洁能源,其开发利用区的确定十分重要。笔者首先通过对松辽盆地热源、资源量、导热、聚热、地震活动5个方面资料的收集,提出了松辽盆地增强型地热系统开发选区适宜性评价方法;然后选取8项评价因子,利用ArcGIS 10.2平台将松辽盆地划分为26个评价单元,根据打分法和层次分析法(AHP)求取每个因子的权重;最后,对26个选区进行综合评价,将其分成适宜、较适宜、一般适宜、较不适宜和不适宜5个等级。结果表明:松辽盆地干热岩开发适宜区和较适宜区主要集中在盆地中部的大安—大庆一带,确定的适宜选区范围对今后干热岩开发工作具有一定指导作用。 相似文献