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991.
(U-Th)/He定年是一种有效的低温热年代学定年技术,现已被广泛应用于地质研究的各个领域,而矿物中4He同位素的有效提取和含量准确测定是该技术的关键。磷灰石和锆石是(U-Th)/He定年最常用的矿物,其4He提取条件及铀钍含量测定方法都较为成熟;而其他矿物(如磁铁矿、橄榄石、针铁矿、石榴子石等)的研究则相对较少。文章介绍了当前国内外(U-Th)/He研究中采用的4He同位素提取方法———真空炉加热法和激光加热法,激光加热法因具有低4He背景值和耗时短的优点而成为主要的提取方法。以磷灰石样品测试为例,介绍了成都地质矿产研究所建立的采用激光加热法和四极杆质谱提取4He同位素及其含量测量过程、含量计算和校正方法。指出未来(U-Th)/He测试技术除继续改进现有分析方法外,应加强对更多不同矿物的测试研究。 相似文献
992.
The Xunyang Hg mine (XMM) situated in Shaanxi Province is an active Hg mine in China. Gaseous elemental Hg (GEM) concentrations in ambient air were determined to evaluate its distribution pattern as a consequence of the active mining and retorting in the region. Total Hg (HgT) and methylmercury (MeHg) concentrations in riparian soil, sediment and rice grain samples (polished) as well as Hg speciation in surface water samples were measured to show local dispersion of Hg contamination. As expected, elevated concentrations of GEM were found, ranging from 7.4 to 410 ng m−3. High concentrations of HgT and MeHg were also obtained in riparian soils, ranged from 5.4 to 120 mg kg−1 and 1.2 to 11 μg kg−1, respectively. Concentrations of HgT and MeHg in sediment samples varied widely from 0.048 to 1600 mg kg−1 and 1.0 to 39 μg kg−1, respectively. Surface water samples showed elevated HgT concentrations, ranging from 6.2 to 23,500 ng L−1, but low MeHg concentrations, ranging from 0.022 to 3.7 ng L−1. Rice samples exhibited high concentrations of 50–200 μg kg−1 in HgT and of 8.2–80 μg kg−1 in MeHg. The spatial distribution patterns of Hg speciation in the local environmental compartments suggest that the XMM is the source of Hg contaminations in the study area. 相似文献
993.
The effect of the source water quality on As(V) removal by coagulation/microfiltration (C/MF) was investigated systematically
using a jar test and a lab-scale test; the results of the lab-scale test coincide with those of the jar test. It showed that
the increase of dissolved organic carbon (DOC), HPO4
2− and HCO3
− concentrations would moderately decrease As(V) removal, and the residual As(V) concentration in treated water is no more
than 10 μg L−1 when the concentration of DOC, HPO4
2− and HCO3
− in raw water is not beyond 9.22 mg L−1, 1.6 mg L−1 and 300 mg L−1, respectively. Other co-ions, such as Cl−, NO3
−, F−, SO4
2−, and counter-ions including K+, Ca2+ and Mg2+, have little effect on As(V) removal. Both results of the jar test and the lab-scale test demonstrate that Fe3+ dose of 6 mg L−1 is enough to eliminate the influence of HCO3
− whose concentration changes from 350 mg L−1 to 450 mg L−1. In the lab-scale test, As(V) removal ranged from 92.8 to 98.2% at Fe3+ dose of 4 mg L−1 and 5 mg L−1 when As(V) concentration in raw water was about 100 μg L−1. The results obtained in this study suggest that As(V) removal by C/MF process is sensitive to the quality of raw water,
and a jar test needs to be done before C/MF process is used for arsenic removal from drinking water. 相似文献
994.
The orientations of the accretion disk of active galactic nuclei (AGN) and the stellar disk of its host galaxy are both determined by the angular momentum of their forming gas, but on very different physical environments and spatial scales. Here we show the evidence that the orientation of the stellar disk is correlated with the accretion disk by comparing the inclinations of the stellar disks of a large sample of Type 2 AGNs selected from Sloan Digital Sky Survey (SDSS, York et al. 2000) to a control galaxy sample. Given that the Type 2 AGN fraction is in the range of 70–90 percent for low luminosity AGNs as a priori, we find that the mean tilt between the accretion disk and stellar disk is ~ 30 degrees (Shen et al. 2010). 相似文献
995.
996.
997.
基于中国数字创意上市企业、新三板挂牌企业数据,运用核密度估计、标准差椭圆、基尼系数、负二项回归模型等方法探究其空间分布特征及影响因素。研究发现:① 数字创意上市挂牌企业总体呈“东密西疏”的空间结构特征,集聚与扩张共存并以集聚为主,且始终保持京津冀、长三角、珠三角等多核心空间集聚形态,空间分布高度不均衡且区域重心北向迁移显著。② 数字创意上市挂牌企业空间分布具有行业异质性,其集聚区域、集聚强度因产业特性和所有制性质不同而存在差异。③ 数字创意上市挂牌企业的空间分异受到集聚经济、基础设施、正式制度、非正式制度因素中的文化活跃度与企业家创新精神、宏观经济环境因素中的全球连通性、金融集聚水平等因素影响,具有明显“高等级城市偏好”。企业空间分异影响因素因产业特性和所有制不同存在差异。 相似文献
998.
In geosciences, complex forward problems met in geophysics, petroleum system analysis, and reservoir engineering problems often require replacing these forward problems by proxies, and these proxies are used for optimizations problems. For instance, history matching of observed field data requires a so large number of reservoir simulation runs (especially when using geostatistical geological models) that it is often impossible to use the full reservoir simulator. Therefore, several techniques have been proposed to mimic the reservoir simulations using proxies. Due to the use of experimental approach, most authors propose to use second-order polynomials. In this paper, we demonstrate that (1) neural networks can also be second-order polynomials. Therefore, the use of a neural network as a proxy is much more flexible and adaptable to the nonlinearity of the problem to be solved; (2) first-order and second-order derivatives of the neural network can be obtained providing gradients and Hessian for optimizers. For inverse problems met in seismic inversion, well by well production data, optimal well locations, source rock generation, etc., most of the time, gradient methods are used for finding an optimal solution. The paper will describe how to calculate these gradients from a neural network built as a proxy. When needed, the Hessian can also be obtained from the neural network approach. On a real case study, the ability of neural networks to reproduce complex phenomena (water cuts, production rates, etc.) is shown. Comparisons with second polynomials (and kriging methods) will be done demonstrating the superiority of the neural network approach as soon as nonlinearity behaviors are present in the responses of the simulator. The gradients and the Hessian of the neural network will be compared to those of the real response function. 相似文献
999.
Jun-ping Ren Jie Wang A-lei Gu Li-bo Zuo Hong-wei Sun Kang-kang Xu Fu-Qing He Chipilauka Mukofu Alphet Phaskani Dokowe Ezekiah Chikambwe 《China Geology》2022,5(1):60-70
The 1∶1000000 geochemical mapping of Zambia provides catchment sediment geochemical data for 58elements including Au from 746 sediment samples at 736 sampling sites,corresponding to a sampling density of about one site per 1000 km2.Under strict quality control using field duplicates,certified reference materials,and analytical replicate samples,the Au was determined by Inductively Coupled Plasma Mass Spectrometry(ICP-MS).The detection limit of Au was 0.20×10-9.The 95%range(2.5%–97.5%)of Au concentrations was from 0.24×10-9 to 1.36×10-9,and the median value was 0.40×10-9.The most noticeable Au distribution patterns shown on the map are mainly located between Lusaka and Ndola(Lufilian Arc Belt).In addition,several high Au value areas occurred in Mansa,Muyombe,Chipata,and Livingstone.The spatial distribution patterns of Au in tectonic units,drainage basins,and geomorphological landscapes could be related to the Lufilian Arc Belt and Bangweulu Block.The Au concentrations show metallogenic belts between Muyombe and Mbala areas,between Mansa and Ndola areas,and between Lusaka and Kasempa areas. 相似文献
1000.