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Zhou Changjiang Xia Jianghai Cheng Feng Pang Jingyin Chen Xinhua Xing Huaixue Chang Xiaojun 《Surveys in Geophysics》2022,43(3):853-881
Surveys in Geophysics - Reliable dispersion measurement between two seismic stations is an essential basis of surface wave imaging. Noise source directivity has become an inescapable obstacle and a... 相似文献
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Shili Liao Chuanwei Zhu Jianping Zhou Weiyong Liu Junyu Yu Jin Liang Weifang Yang Wei Li Jia Liu Chunhui Tao 《海洋学报(英文版)》2021,40(5):105-113
The newly discovered East Longjing-2 hydrothermal field (ELHF-2) is located on the Dragon Horn oceanic core complex of the ultraslow-spreading Southwest Indian Ridge, approximately 12 km from the ridge axis. This study measured the chemical compositions of pyrite from ELHF-2 using a laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) to investigate the genesis of the field. Three generations of pyrite were classified, and found that: Py1 and Py2, rich in V, Mn, U, and Se, occur in altered basalt debris and the silica alteration matrix, respectively. Py3 was mainly intergrown with chalcopyrite in quartz veins and had higher Cu, In, Ag, Sb, and Au contents than Py1 and Py2. Some elements, such as Au, Se, and Pb, are likely presented as direct substitution with Fe2+ in pyrite, while Cu, Zn, Co, Ni, and Ag probably occur both as direct substitution with Fe and as distributed micro- to nanoparticle-sized sulfides. Meanwhile, the occurrence of V, Mn, and U is likely presented as oxide inclusions. Trace element geochemistry suggested that the pyrite was formed under high-temperature conditions, and the ore forming elements were likely derived from ultramafic rocks. In addition, Py1 and Py2 were formed under higher water/rock ratio and higher temperature conditions, with more seawater involvement compared with Py3. The formation of ELHF-2 was probably driven by exothermic serpentinization reactions with an additional magmatic heat. This study shows that high-temperature hydrothermal circulation driven by magmatic activity can be developed on distal rift flank areas of magma-starved ultraslow-spreading ridges. 相似文献
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Surveys in Geophysics - A new efficient random search algorithm is introduced for solving inversion problems in geophysical studies. The proposed algorithm is inherently a stochastic optimization... 相似文献
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Analysis of lower-boundary climate factors contributing to the summer heatwave frequency over eastern Europe using a machine-learning model 
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下载免费PDF全文 A machine-learning (ML) model, the light gradient boosting machine (LightGBM), was constructed to simulate the variation in the summer (June–July–August) heatwave frequency (HWF) over eastern Europe (HWF_EUR) and to analyze the contributions of various lower-boundary climate factors to the HWF_EUR variation. The examined lower-boundary climate factors were those that may contribute to the HWF_EUR variation—namely, the sea surface temperature, soil moisture, snow-cover extent, and sea-ice concentration from the simultaneous summer, preceding spring, and winter. These selected climate factors were significantly correlated to the summer HWF_EUR variation and were used to construct the ML model. Both the hindcast simulation of HWF_EUR for the period 1981–2020 and its real-time simulation for the period 2011–2020, which used the constructed ML model, were investigated. To evaluate the contributions of the climate factors, various model experiments using different combinations of the climate factors were examined and compared. The results indicated that the LightGBM model had comparatively good performance in simulating the HWF_EUR variation. The sea surface temperature made more contributions to the ML model simulation than the other climate factors. Further examination showed that the best ML simulation was that which used the climate factors in the preceding winter, suggesting that the lower-boundary conditions in the preceding winter may be critical in forecasting the summer HWF_EUR variation.摘要本文使用LightGBM机器学习模型模拟了欧洲东部夏季热浪频率的变化, 并分析了多个底边界层气候因子的贡献. 所选取的气候因子包括前期冬季, 前期春季以及同期夏季的下垫面海温, 土壤湿度, 积雪以及海冰. 分析结果说明LightGBM模型能够较好的模拟出欧洲东部夏季热浪频率的变化, 其中海温因子对模拟的贡献最大. 进一步的分析研究显示, 使用前期冬季的气候因子进行的模拟可以获得最佳模拟结果, 意味着前期冬季的下垫面气候因子可能对夏季欧洲东部热浪频率变化的预报能起到关键作用. 相似文献
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稀有金属铌钽在我国华南存在多时代成矿特征,前人对其最晚成矿期晚白垩世成矿事件报道较少。本文以浙东南的吴小垟铌矿床为研究对象,结合野外调查、岩石学、矿物原位微区分析和同位素年代学等研究,确定矿床铌成矿岩体为细粒黑云母花岗岩,成岩成矿年龄分别为89.2±0.8 Ma和86.5±1.0 Ma,揭示了该区存在晚白垩世花岗岩侵位及其相关铌成矿事件。铌除了以独立矿物的形式赋存在铌铁矿、铌铁金红石、铅烧绿石中,还有部分铌赋存于黑云母中。在岩浆-热液作用下,云母类型发生了从铁云母→黑鳞云母→铁锂云母的变化。铁云母Nb含量最高可达1253×10-6,黑鳞云母-铁锂云母铌含量最高至794×10-6,黑云母极度富铌的特征,指示该花岗岩具有非常好的铌找矿潜力,富铌黑云母可以作为一种铌钽找矿指示性矿物。综合上述矿物学特征,得出吴小垟矿床存在两阶段铌成矿事件:岩浆期原生铌铁矿族矿物、原生富铌黑云母和铌铁金红石的形成;以及后期热液作用下铌从岩浆和原生含铌矿物中迁移出形成次生的含铌氧化物。 相似文献
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氧逸度是定量表示一个体系氧化还原能力的指标，反映了体系中氧气的分压或者逃逸能力。在地球科学中，它反映了岩石和矿物中变价元素的氧化还原状态，指示了不同岩石矿物氧化性/还原性的相对强弱。相同岩石矿物不同氧逸度可以导致其物理化学性质发生大的改变，因此在实验地球科学中准确控制并监测高温高压实验条件下的氧逸度具有非常重要的意义。本文从实验技术角度出发，首先介绍了活塞圆筒和多面砧高压装置中利用双胶囊技术在不含水和含水体系中控制氧逸度的方法、原理、装置和注意事项；接着描述了用过渡金属合金固溶体和惰性金属合金作为氧传感器原位测量氧逸度的原理、注意事项和地质应用，然后展示了氧离子固体电解质法控制和监测氧逸度的原理、装置和局限，提出了可能的改进方法。目前由于技术限制，氧逸度在高压实验中的控制和监测方法还不成熟，导致其对矿物和岩石物理化学性质的影响极可能被低估甚至错估。因此积极研究发展并推动高压下氧逸度的控制和监测技术非常重要且必要。 相似文献
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Understanding the late Mesozoic tectonic origin and structural patterns of the Bohai Bay Basin (BBB) is of growing importance for its buried-hill petroleum exploration. This study revealed, based on 3D seismic and borehole data, that the Raoyang Sag in the Jizhong Depression, western BBB, was dominated by a crustal detachment system during the late Jurassic to the early Cretaceous. It was characterized by the WNW-dipping low-angle detachment fault F0 (namely Cangxi Fault), the structural dome cored by Archean Basement rocks at the footwall and supradetachment basins on the hanging wall. We suggested the late Mesozoic volcanic materials and coarse deposits accumulated in the supradetachment basins had locally diminished the petroleum prospect, but the syndetachment deformation and denudation had contributed to it by means of promoting petroleum migration from source rocks to reservoirs and improving porosity and permeability of the reservoir rocks by karstification and structural fracturing. 相似文献
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