华南地区栖霞组“菊花石”假象与海泡石矿成因关系探讨

根据对华南地区二叠系栖霞组内菊花石假象的成因研究,结合对该组内燧石结核,菊花石内正延性玉髓和海泡石形成时代关系的现状关系的观察,认为华南地区栖霞组内的海泡石形成于早期成岩作用过程中,与该组内燧石结核和菊花石假象内的正延性玉髓同期形成,其成因既与高盐度的沉积环境或高盐度的成岩环境条件无关,也与热液活动无关。     

华南地区栖霞组菊花状天青石的交代及其地质意义

本文在收集大量菊花石标本的基础上，通过岩石薄片镜下鉴定及X射线衍射分析，识别了华南地区栖霞组菊花石假象内矿物的成因类型，建立了矿物交代序列，并通过对菊花石假象内各种矿物成分的电子探针分析和对交代方解石，脉方解石及其围岩的氧，碳同位素分析，探讨了菊花石交代过程中的成岩环境,合理地解释了菊花石内正延性玉髓和栖霞组内海泡石的成因。     

Application of HF radar currents to oil spill modelling

In this work, the benefits of high-frequency (HF) radar currents for oil spill modeling and trajectory analysis of floating objects are analyzed. The HF radar performance is evaluated by means of comparison between a drifter buoy trajectory and the one simulated using a Lagrangian trajectory model. A methodology to optimize the transport model performance and to calculate the search area of the predicted positions is proposed. This method is applied to data collected during the Galicia HF Radar Experience. This experiment was carried out to explore the capabilities of this technology for operational monitoring along the Spanish coast. Two long-range HF radar stations were installed and operated between November 2005 and February 2006 on the Galician coast. In addition, a drifter buoy was released inside the coverage area of the radar. The HF radar currents, as well as numerical wind data were used to simulate the buoy trajectory using the TESEO oil spill transport model. In order to evaluate the contribution of HF radar currents to trajectory analysis, two simulation alternatives were carried out. In the first one, wind data were used to simulate the motion of the buoy. In the second alternative, surface currents from the HF radar were also taken into account. For each alternative, the model was calibrated by means of the global optimization algorithm SCEM-UA (Shuffled Complex Evolution Metropolis) in order to obtain the probability density function of the model parameters. The buoy trajectory was computed for 24 h intervals using a Monte Carlo approach based on the results provided in the calibration process. A bivariate kernel estimator was applied to determine the 95% confidence areas. The analysis performed showed that simulated trajectories integrating HF radar currents are more accurate than those obtained considering only wind numerical data. After a 24 h period, the error in the final simulated position improves using HF radar currents. Averaging the information from all the simulated daily periods, the mean search and rescue area calculated using HF radar currents, is reduced by approximately a 62% in comparison with the search area calculated without these data. These results show the positive contribution of HF radar currents for trajectory analysis, and demonstrate that these data combined with atmospheric forecast models, are of value for trajectory analysis of oil spills or floating objects.     

机器学习应用于地震预警中的地震波判别研究

由于天然或人为干扰产生的局部脉冲式噪声影响,使得地震预警系统出现误报。为减少此类问题,我们利用美国南加州和日本的30万条地震波形记录,训练了一个生成式对抗网络(GAN)用于识别P波初至特征。我们将GAN判别器作为自动特征提取器,并利用70万条地震事件和噪声波形记录训练了一个随机森林分类器。结果表明,该方法可以辨别99.2%的P波和98.4%的噪声信号。其优越的性能有望极大地减少因局部脉冲式噪声而造成的误触发数量。我们的研究表明,GAN判别器能获取简洁有效的地震波形特征,可广泛应用于地震学研究。小结地震预警系统受到脉冲式噪声信号的干扰(非真实地震信号),有时偶尔会出现误触发的情况。这会造成不必要的经济损失和公众恐慌。本文利用机器学习工具判别波形是由地震产生的还是由局部噪声源产生的。我们通过利用美国南加州和日本大约70万条波形来训练算法。研究表明,利用机器学习方法可以识别99.2%的地震和98.4%的噪声。该方法可以减少大量的误报,能显著改善地震预警系统的鲁棒性。     

全球石油资源估计及对21世纪石油产量的预测

将地球沉积盖层作为统一的系统,对全球常规可采石油资源进行概率估计,并对21世纪末之前的全球石油产量进行预测。结果表明全球石油产量最有可能在2020—2030年间达到高峰,每年42～47亿吨。届时主要的产区将在波斯湾、西西伯利亚和东西伯利亚,上游部门的注意力将转向北极陆架。至少到2040年前,年产量将维持在42—45亿吨水平。     

由浅源地震矩张量推断的沿琉球岛弧和冲绳海槽的应力场

使用区域(NIED MT)和全球(哈佛大学CMT)矩张量目录研究了琉球岛弧和冲绳海槽的应力场。使用NIED MT目录4年数据和哈佛大学CMT目录24年数据的联合数据集，发现沿琉球岛弧弧前分布的平行弧向的扩张应力区域，并观测到详细的冲绳海槽扩张应力场。除北东端外，该顺弧向扩张在整个琉球岛弧区域都可以观测到。该应力场通过火山链与冲绳海槽的弧后扩张应力场明显分开。由于它存在于正俯冲区域以及弱耦合俯冲区域中，倾斜俯冲的影响不足以解释平行弧向扩张的形成。因而，我们认为弧后张开过程应该在这个平行弧向的扩张中起了重要作用。沿冲绳海槽，在琉球岛弧东南部和中部观测到垂直岛弧方向的扩张应力场，而在冲绳海槽东北部，扩张轴的方向既与岛弧的法向斜交又与板块运动方向斜交。考虑了俯冲板块与弧前和弧后相互作用的二维力学模型是不充分的，因为整个琉球岛弧都观测到平行弧向扩张应力场，而且冲绳海槽东北部的扩张轴与海槽走向斜交。倾斜的弧后应力可能发源于弧后下部或者弧后大陆一侧。解释该现象的最简单的方法之一可能是冲绳海槽东北部的活动断裂作用。     

用全球大气混合层海洋环流模式模拟二氧化碳增加对土壤湿度季节变化的影响

本文利用全球三维大气耦合混合层海洋环流模式模拟大气中二氧化碳浓度增加对土壤湿度的影响。敏感试验(2×CO_2)与控制试验(1×CO_2)对照表明,当大气中二氧化碳浓度增加时,全球土壤湿度在各季发生明显变化。其中两半球低纬度地区在冬季土壤温度变温,两半球中纬度地区则在各季土壤湿度变干,北半球高纬度地区土壤湿度在夏季变干,其余各季变温。分析大气中二氧化碳浓度增加造成土壤温度全球变化的可能物理机制表明,地面水循环和热量循环是重要的因素。