鄂尔多斯及其周缘地热分布的某些特征

利用鄂尔多斯及其周缘的大地热流、地温梯度和地温分布等资料研究了其展布特征和差异性变化，并讨论了地热分布与地壳深浅构造的关系。认为，鄂尔多斯块体内大地热流、地温梯度值整体偏低，而其周缘地区则呈现出环状高值异常带。该区地震活动主要集中分布在鄂尔多斯周缘地区，即鄂尔多斯周缘存在着高热流、高地温梯度和地震丛集分布相统一的现象。这一现象说明，地热和地震活动之间存在着某种必然的联系。     

准噶尔盆地西北缘侏罗系储层

准噶尔盆地西北缘侏罗系陆相碎屑岩储层的岩性差异较大，岩性对物性的控制作用明显。储层的孔隙类型多样，不同类型的孔隙在发育规模、丰度及有效性方面都存在显差异，次生溶蚀孔隙、原生粒间孔隙和残余粒间孔隙是最重要的有效孔隙类型。储层渗透率与孔隙度之间存在较好的半对数相关关系。通过设置一定的孔隙度和渗透率参数界线，对储层储集性能进行评价，将侏罗系储层的孔渗性能划分为5个级别，可与当前流行的砂岩储层孔渗性能分级相对应。通过对大量压汞参数样本的聚类分析，将储层的孔隙结构划分为4个类型。通过各类参数统计及曲线形态对比，对孔隙结构类型进行了定量结合定性的优劣评价。最后，结合孔渗性能级别、储集空间类型、孔隙结构类型、岩性等特征，对准噶尔盆地西北缘侏罗系储层进行了综合分类评价。     

小波分析在高边坡水平位移异常值探测中的应用研究

在测量工作中由于仪器误差等因素引起的粗差不可避免,针对粗差会导致数据中出现异常值这一问题^[1],本文以某一高边坡为研究对象,通过小波分析方法,利用MATLAB软件中的小波工具箱对某一高边坡水平位移监测成果进行异常值的探测。研究结果表明：针对某一高边坡的模拟增加粗差,进一步用小波分析方法对异常值探测,通过原始信号的差分信号可以看到剧烈波动点,有效地完成了对水平位移异常值的探测。     

云南哀牢山-红河剪切带新生代富碱侵入岩中榍石年代学和地球化学特征

榍石作为副矿物在哀牢山-红河剪切带新生代富碱侵入岩中广泛存在。原位获取榍石矿物内部微量元素、U-Pb年龄和Sm-Nd同位素的空间变化对获取矿物和岩石的成因演化信息具有重要意义。本文使用四级杆/多接收电感耦合等离子体质谱（Quadrupole/Multi-Collector Inductively Coupled Plasma Mass Spectrometry,Q/MC-ICP-MS）与激光剥蚀系统（Laser Ablation,LA）联用,对哀牢山-红河剪切带5个富碱侵入岩体（桃花岩体、宁蒗-永胜岩体、哈播岩体、铜厂岩体和十里村岩体）中榍石开展了微区原位微量元素、U-Pb年代学和Sm-Nd同位素研究。微量元素分析结果表明,三江富碱侵入岩中榍石为岩浆成因,亏损Rb、Ba、Pb、Sr等大离子亲石元素,富集Th、U、Nb、Ta、Zr、Hf等高场强元素。榍石的稀土配分图均表现为明显右倾,不具有或具有弱的Eu负异常。与云南北衙、马厂箐矽卡岩矿床中的热液榍石相比,本文榍石在稀土元素组成上,具有较高的稀土元素总量、较高的Th/U、LREE/HREE和Ce/Ce^*比值,具有较低的Eu/Eu^*、Nb/Ta、Zr/Hf比值。微区原位LA-Q-ICP-MS U-Pb定年结果表明,研究区富碱岩体中榍石结晶年龄在32.5~37.9Ma之间,代表了岩体形成时代,与三江地区哀牢山-红河剪切带及其附近新生代富碱岩浆活动高峰期（~35Ma）一致,属于青藏高原晚碰撞期岩浆作用的产物。榍石微区原位LA-MC-ICP-MS Sm-Nd同位素分析结果显示,榍石颗粒的Nd同位素组成均一,表明榍石结晶过程中寄主岩浆的Nd同位素组成没有发生明显变化。各个富碱岩体之间的榍石Nd同位素组成变化范围在-6.8~-2.1之间,与全岩的同位素特征一致,表明榍石的原位微区Sm-Nd同位素可以作为富碱侵入岩研究中有效的示踪手段之一。

     

扇三角洲沉积体系及其与油气聚集关系

扇三角洲沉积体系是断陷盆地中极为发育的一种沉积体系,主要由扇三角洲平原组合、扇三角洲前缘组合和前三角洲沉积构成,可识别出9种成因相。受沉积物供给速率、可容空间增长速率及盆缘断裂产状等因素控制可划分出退积型、加积型、前积型、陡坡型和缓坡型5种扇三角洲类型。位于扇三角洲平原的辫状分流河道砂体及其位于扇三角洲前缘的与之有成因联系的水下分流河口坝、洪水型重力流砂体等物性好,可以构成优质储层。含油性勘探成果亦证实各主力油层段平面上主要分布于扇三角洲前缘及分流间湾区,小部分位于扇三角洲平原区。受埋藏深度和成岩场的影响,不同地区、不同层位主力油层段的物性与岩性相关性各异。因此,应用沉积体系分布与油气聚集规律挖掘剩余油层及进行远景区预测是有效的与可行的。     

小兴安岭-张广才岭地区晚古生代至中生代花岗岩的成因及其地质意义

中国东北地区显生宙花岗岩的成因一直是中亚造山带东段研究的热点之一,尤其是小兴安岭-张广才岭地区的花岗岩其成因及形成的大地构造背景一直存在较大争议。本文新获得小兴安岭-张广才岭铁力和依兰地区的二长花岗岩LA-ICP-MS锆石U-Pb年龄分别为188±1 Ma和257±3 Ma。地球化学数据显示,两地区的二长花岗岩均为Ⅰ型花岗岩并且富集大离子亲石元素(Th和U等)和轻稀土元素,亏损高场强元素(Nb和Ta等)和重稀土元素具有弧岩浆岩的地球化学特征。锆石Hf同位素数据显示,铁力地区二长花岗岩的岩浆源区可能来自于中新元古代的下地壳部分熔融。综合前人在小兴安岭-张广才岭地区已发表的花岗岩类岩石的地质年代学和地球化学数据,初步推测小兴安岭-张广才岭地区在晚古生代至中生代期间处于活动大陆边缘环境。同时,小兴安岭-张广才岭地区晚古生代至中生代的岩浆岩具有自东向西形成时代逐渐变年轻的趋势,这可能是由于东侧的牡丹江洋在晚古生代至中生代期间俯冲角度逐渐变缓造成的。     

FDY—9601微机测氡仪

本文介绍了由核工业北京地质研究院仪器研究中心研制的FDY－9601微机测氡仪。它是一种借助于经过加压极化处理过的聚酯薄膜片收集氡衰变产生的子体218Po（RaA）,并测量其放出的α射线强度的微机测氡仪。     

The IFFT-based SQM method against digital distortion in GNSS signals

Global navigation satellite systems (GNSS) signal deformations could threaten the position accuracy and integrity of GNSS, especially for safety critical applications. Digital distortion is an important kind of deformations caused by failures inside the baseband generation unit onboard the GNSS satellites. Multi-correlator technique, as a prevalent signal quality monitoring (SQM) method, was developed to reliably detect the signal anomaly and therefore protect airborne users from this integrity threat. However, the conventional multi-correlator technique is unable to estimate the degree of distortion quantitatively, while another SQM method, the chip domain observable, has a poor real-time capability so that it could not meet the stringent time to alarm requirements. To solve the above problem, we derived the spectrum form of the conventional Threat Model A first and proposed a IFFT-based SQM algorithm. This new method can perform SQM easily by analyzing the impulses after PSD division and IFFT: Detect the presence of digital distortion by judging whether there is an impulse after IFFT and estimate the degree of distortion by computing the offset of the impulse. The results show that the IFFT-based method can not only detect digital distortion real-timely but also estimate the digital distortion degree quantitatively.     

Electrical resistivity imaging for the characterization of the Montaguto landslide (southern Italy)

Long runout landslides involve a massive amount of energy and can be extremely hazardous owing to their long movement distance, high mobility and strong destructive power. Numerical methods have been widely used to predict the landslide runout but a fundamental problem remained is how to determine the reliable numerical parameters. This study proposes a framework to predict the runout of potential landslides through multi-source data collaboration and numerical analysis of historical landslide events. Specifically, for the historical landslide cases, the landslide-induced seismic signal, geophysical surveys, and possible in-situ drone/phone videos (multi-source data collaboration) can validate the numerical results in terms of landslide dynamics and deposit features and help calibrate the numerical (rheological) parameters. Subsequently, the calibrated numerical parameters can be used to numerically predict the runout of potential landslides in the region with a similar geological setting to the recorded events. Application of the runout prediction approach to the 2020 Jiashanying landslide in Guizhou, China gives reasonable results in comparison to the field observations. The numerical parameters are determined from the multi-source data collaboration analysis of a historical case in the region (2019 Shuicheng landslide). The proposed framework for landslide runout prediction can be of great utility for landslide risk assessment and disaster reduction in mountainous regions worldwide.     

Tracing seafloor methane emissions with benthic foraminifera in the Baiyun Sag of the northern South China Sea

Changes in the concentrations of atmospheric greenhouse gases are an important part of the global climate forcing. The hypothesis that benthic foraminifera are useful proxies of local methane emission from the seafloor has been verified on sediment cores by numerous studies. The calcium carbonate (CaCO₃) content and the high-resolution carbon and oxygen isotope composition of the benthic foraminifera from the core 08CF7, from the northeastern Shenhu gas hydrate drilling area in the Baiyun Sag of the northern South China Sea were analyzed, and the benthic foraminifera’s evidence for methane release from gas hydrate decomposition are presented here for the first time. Two rapid obvious carbon isotope negative excursions were observed in the oxygen isotope stage boundaries 5d/5c and 6/5e (penultimate deglaciation, about 130 ka) of the cold-to-warm climatic transition period. The largest negative value of δ¹³C is about ?2.95 ‰, and the whole change of carbon and oxygen isotope is strikingly similar and is in consonance with the atmospheric methane concentration recorded by the Vostok ice core and the carbon isotopic record from Lake Baikal. Combining these results with the analysis of the geological conditions of the study area and the fact that gas hydrate exists in the surrounding area, it can be concluded that the carbon isotope negative excursions of the benthic foraminifera in the northern South China Sea are associated with methane release from gas hydrate decomposition due to deglacial climate warming. By recording the episodes of massive gas hydrate decomposition closely linked with the northern hemisphere temperatures during major warming periods, the new δ¹³C record from the Baiyun Sag provides further evidence for the potential impact of gas hydrate reservoir on rapid deglacial rises of atmospheric methane levels.