中国西南天山山前的晚新生代构造与地震活动

天山是研究现今陆内造山作用及过程、陆内变形、陆内强震及其预测等大陆动力学问题的理想实验场。西南天山和塔里木之间的新生代褶皱－逆断裂带基本上由一南冲弧形推覆构造系统和一向北反冲的构造系统组成，由北而南主要由以下4个运动学单元组成：（1）新生代复活的喀拉铁热克山－天山南脉古生代造山带，其快速变形和抬升可能起始于23－26Ma前，持续至13－16Ma前。（2）向南逆冲的西南天山前陆薄皮主冲断带，包括木兹杜克弧形薄皮推覆体和依柯冲断带，前者代表了向南薄皮逆掩的天山型岩系，地表主要表现为一系列的飞来峰群，在14Ma前曾有过大规模活动，最小缩短量约为20－35km，最小缩短速率为1．4－2．8mm/a；后者代表了向南叠瓦状薄皮逆冲推覆的前陆古生代基底（塔里木地台型沉积岩系）卷入构造，其西段在距今14Ma时曾有过强烈活动。两者共同组成了一复杂的双重构造；新生代地层也卷入变形。（3）喀什－阿图什弧形反冲褶皱－逆断裂带，由3排向北（天山）反冲的左阶雁列展布的第四纪地表滑脱褶皱组成，仅在大山口以西发育。该构造带形成于距今约1．4Ma以后。依什拉克喀拉乌尔断裂以南，博古孜河剖面的最小缩短速率约为5．8mm/a，翁库尔剖面的最小缩短速率约为8．6mm/a。（4）塔里木克拉通下盘块体，向北西方向缓倾，内部变形较小。里木块体西北存在明显的不均匀性，其学问基底高角度逆断裂和走滑断裂控制了盆地新生代沉积的厚度，导致西南天山前陆冲断带的地形地貌、地层、构造变形样式、变形时间以及变形缩短量沿走向的巨大差异性。迈丹－喀拉铁克断裂和阿图什断裂带均为岩石圈规模断裂，研究区的中强地震主要发生在这两条断裂带以及它们之间的西南天山前陆冲断带上。     

Environmental transformation of the Bilbao estuary,N. Spain: microfaunal and geochemical proxies in the recent sedimentary record

The distribution and abundance of benthic foraminifera and a range of elements have been analysed in six long cores (up to 10 m long) from the Bilbao estuary, N. Spain, to document environmental transformation of this estuarine ecosystem and to determine sediment contamination levels. Three different environmental zones could be distinguished in the recent sedimentary record based on its microfaunal and geochemical contents. Initially, a pre-industrial zone containing very abundant and diverse foraminiferal assemblages together with baseline metal levels. Secondly, an older industrial zone exhibiting co-existence of abundant and diverse foraminiferal assemblages with high concentrations of metals. Finally, a younger industrial zone with extreme concentrations of metals and barren of indigenous foraminifera. This environmental transformation has been caused by the discharge of untreated domestic and industrial effluents during the last 150 years. The occurrence of foraminifera in the two industrial zones and along the estuary is not related to defined levels of metals, and this seems to confirm oxygen limitation as the key factor to explain complete estuarine defaunation during deposition of the younger industrial zone (period 1950-2000). Effectiveness of current regeneration schemes could be assessed using microfaunal and geochemical proxies as environmental quality indicators.     

惠灵顿地区的强震复发周期

１．在惠灵顿地区，估计应变已以大板块运动的理论所预期的速率积累起来，总的累积运动在东西方向为４０－５０ｍｍ／ａ。２．该地区主要走滑断层的平均水平滑动速率占平行于断层走向的板块运动的９０％以上，大约为３０－３５ｍｍ／ａ。我们推断该地区过去所有的走滑大地震（≥７．５级）都发生在这些断层上，未来不将发生在它们之上。３．浅源逆断层地震的运动仅仅占垂直于断层上，未来还将发生在我们推测，剩余的应变量以小于１０     

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.     

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。     

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。     

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。     

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。