四川西昌盆地白垩纪恐龙足迹群的新发现

四川西昌盆地白垩系小坝组尚未发现骨骼化石记录,其白垩系恐龙动物群的信息全赖于足迹化石。2017年,在喜德县洛甘发现小坝组迄今最大型的恐龙足迹群。该足迹点保存了大量的兽脚类足迹。足迹保存条件较差,但具备了基本的形态学特征。总体来看,兽脚类足迹具有尺寸较小(8~13cm),中等中趾前凹(0.5~0.6)和第Ⅱ趾和第Ⅳ趾间较宽趾间角(70°~100°)的特征;少量足迹保存了跖骨垫。初步分析认为,洛甘兽脚类足迹与四川盆地夹关组的兽脚类足迹Eubrontes和Grallator形态类型相似,为两地在白垩纪中期具有类似的恐龙动物群的观点提供了新的证据。该发现对于西昌盆地的古气候、古地理和地层对比都具有重要的意义,足迹详细分类还有待进一步研究。     

Progress in the Application of Ground Gravity Observation Data in Earthquake Prediction

The mechanism of earthquake inoculation and the process of earthquake occurrence are very complicated. Additionally, earthquakes do not happen very often, and we lack enough cognition to the earth’s interior structure, activity regularity and other key elements. As a result, research progress about the theory of earthquake precursors has been greatly restricted. Ground gravity observation has become one of the main ways to study earthquake precursor information in many countries and regions. This paper briefly summarized the surface gravity observation technology and observation network in China: the surface gravity measurement instrument developed from Huygens physical pendulum in seventeenth Century to today’s high-precision absolute gravimeter, and its accuracy reached to ±1×10^-8 m/s². China has successively established the National Gravity Network, Digital Earthquake Observation Network of China,the Crustal Movement Observation Network of China Ⅰ and the Crustal Movement Observation Network of China, to provide a public platform for monitoring non tidal gravity change, seismic gravity and tectonic movement. The use of specific examples illustrated the role of gravity observation data in earthquake prediction. The gravity observation data of ground gravity can be used to capture the information of gravity change in the process of strong earthquake inoculation, and to provide an important basis for the long-term prediction of strong earthquakes. The temporal and spatial variation characteristics of the regional gravity field and its relation to strong earthquakes were analyzed: Before the earthquake whose magnitude is higher than M_S 5, generally there will be a large amplitude and range of gravity anomaly zones. Strong earthquakes occur mainly in areas where the gravity field changes violently. The dynamic change images of gravity field can clearly reflect the precursory information of large earthquakes during the inoculation and occurrence. Finally, the existing problems of surface gravity technology in earthquake precursor observation were put forward and the use of gravity measurement data in earthquake prediction research was prospected.     

2019年甘肃夏河Ms5.7地震前后重力场异常特征分析

地震的孕育发生过程伴随着构造运动、物质迁移和密度变化,将引起地球重力场变化,流动重力重复观测有可能捕捉到与地震孕育有关的前兆信息,从而为中短期地震预测提供重要依据.基于南北地震带2017-2020年的流动重力观测资料,获得了甘东南地区的区域重力场时空变化图像,分析了区域重力场动态变化及其与2019年甘肃夏河Ms 5.7地震发生的关系.结果 表明:①震前测区重力异常变化等值线与临潭—宕昌断裂走向基本一致,且在震中附近出现四象限分布特征,夏河Ms5.7地震发生在重力高梯度带和四象限中心附近;②地震前后区域重力场经历了"区域性重力异常—四象限分布特征—反向变化发震"的时空演化过程;③九寨沟地震的发生可能引起附近断层区域应力场的调整,从而加速了夏河地震的发生;④区域重力场时变与临潭—宕昌断裂在空间上有较好的对应,综合分析可认为该次地震的发震断裂为临潭—宕昌断裂.     

影响山东切变线特征及典型个例分析

利用天气观测资料和NCEP再分析资料对2004-2013年5-9月影响山东的切变线天气特征和环流形势进行了分析。将影响山东的切变线按热力性质分为冷切变线和暖切变线,10a间影响山东的切变线共发生59次,其中暖切变线出现43次,占切变线总发生次数73%;冷切变线出现16次,占切变线总发生次数27%。切变线发生频数7月最多,6月次之,分别占切变线总数的35.6%和23.7%,9月最少,约占0.05%。影响山东典型切变线的发生与副高关系密切,冷切变线多出现在西风槽东移受阻,在对流层低层逐渐形成,暖切变线则出现在西风带小高压与副高合并,副高北抬时形成。针对2次典型冷暖切变线暴雨天气过程对比分析其暴雨落区、雷达回波特征和动力机制等,结果发现:暖切变线降水的强度、暴雨范围和持续时间明显大于冷切变线降水。暖切变线暴雨的GPS可降水量在强降雨出现前8h快速上升,可降水量峰值对应地面降雨大值,对地面降雨变化反映不敏感,物理量呈垂直分布,强回波单体基本位于暖切变线雨带的中间。冷切变线暴雨的GPS可降水量短时间内增幅大,地面强降雨在峰值出现1h后发生,对地面降雨变化反映较敏感,物理量从低层到高层向北倾斜且上升运动区较深厚,回波单体位于切变线南侧。     

基于孔压静力触探(CPTU)测试的连云港海相粘土前期固结压力确定方法研究

首先回顾了基于孔压静力触探(CPTU)测试确定前期固结压力的方法,通过连云港海相粘土场地进行的CPTU试验资料,以室内固结试验得到的前期固结压力作为参考值评估了经验方法预测前期固结压力的有效性。最简单的方法是直接建立前期固结压力和净锥尖阻力的关系,同时也是最有效的方法。     

喜马拉雅山东南地区地质灾害发育规律初步研究

利用遥感手段,结合MapGis,研究了喜马拉雅山东南地区地质灾害的发育情况,发现本区发育的主要地质灾害有滑坡、崩塌、泥石流、冰湖以及堰塞湖。其中崩塌、滑坡、泥石流斜坡地质灾害是本区最重要的地质灾害类型,占到总灾害数量的95.3%。在此基础上对喜马拉雅山东南地区地质灾害发育规律初步研究,发现本区地质灾害的发育在空间上的分布并非均匀,而是具有丛集性的特点。滑坡灾害主要发育在隆子和朗县。泥石流灾害比较严重的有米林、隆子和洛扎3县,而崩塌则主要集中在隆子县。研究发现,本区滑坡发育与地层、地形坡度以及土地类型关系密切,其中修康群、日当组和念青唐古拉群是本区的易滑地层。涅如组由于面积大,其中发育的滑坡较多,但是滑坡的发育率只略高于本区的平均水平。统计表明,16～30的坡度范围是滑坡最容易发生的。大于45以上的坡段很少发生滑坡。灌木林和天然草地这两种土地类型滑坡发育率最高。对于泥石流,研究表明,涅如组中泥石流发育面积最大,发育率也最高。泥石流发育的最适宜坡度也是16～30这样一个坡度范围。冰川和永久积雪区则最易发生泥石流。崩塌发育与地层类型、坡度的关系较为密切,崩塌主要发育在涅如组中,并且集中在坡度大于60以上的陡坡段中。这些初步成果的取得,是以后进行该区地质灾害空间预测的基础。     

青藏高原东北缘强震前兆特征研究——流动重力方法

通过整理和解剖青藏高原东北缘地震重力观测资料,分析研究了青藏高原东北缘重力场时空变化及其与地震活动的关系,研究了强震孕育发生过程重力异常特征及震后异常效应。     

中亚造山带西段俯冲起始时限及机制探讨

中亚造山带是世界上最大的显生宙增生型造山带,是研究增生造山过程和大陆地壳生长的绝佳场所,其形成记录了新元古代—早中生代古亚洲洋发展演化历程,主要由一系列微陆块、岛弧、海山/大洋高原、增生杂岩及蛇绿混杂岩构成.中亚造山带西段蛇绿混杂岩物质组成基本一致,除了典型的蛇绿岩组分外,大多发育典型的海山岩石组合,即枕状玄武岩、火山...     

Geochemical and Isotopic Techniques Constraints on the Origin, Evolution, and Residence Time of Low-enthalpy Geothermal Water in Western Wugongshan, SE China

Geothermal resources are increasingly gaining attention as a competitive, clean energy source to address the energy crisis and mitigate climate change. The Wugongshan area, situated in the southeast coast geothermal belt of China, is a typical geothermal anomaly and contains abundant medium- and low-temperature geothermal resources. This study employed hydrogeochemical and isotopic techniques to explore the cyclic evolution of geothermal water in the western Wugongshan region, encompassing the recharge origin, water–rock interaction mechanisms, and residence time. The results show that the geothermal water in the western region of Wugongshan is weakly alkaline, with low enthalpy and mineralization levels. The hydrochemistry of geothermal waters is dominated by Na-HCO3 and Na-SO4, while the hydrochemistry types of cold springs are all Na-HCO3. The hydrochemistry types of surface waters and rain waters are Na-HCO3 or Ca-HCO3. The δD and δ18O values reveal that the geothermal waters are recharged by atmospheric precipitation at an altitude between 550.0 and 1218.6 m. Molar ratios of major solutes and isotopic compositions of 87Sr/86Sr underscore the significant role of silicate weathering, dissolution, and cation exchange in controlling geothermal water chemistry. Additionally, geothermal waters experienced varying degrees of mixing with cold water during their ascent. The δ13C values suggest that the primary sources of carbon in the geothermal waters were biogenic and organic. The δ34S value suggests that the sulfates in geothermal water originate from sulfide minerals in the surrounding rock. Age dating using 3H and 14C isotopes suggests that geothermal waters have a residence time exceeding 1 kaBP and undergo a long-distance cycling process.