内蒙古西部银额盆地及邻区二叠系隆林阶—冷坞阶 层序地层格架

依据露头层序地层学原理,对银额盆地及邻区二叠系隆林阶—冷坞阶露头剖面进行层序界面的识别和层序划分,共划分为2个Ⅲ级层序。在对东西、南北向层序地层对比的基础上,初步建立了研究区的层序地层格架。隆林期—罗甸期全区发生大范围的海侵接受海相沉积,以滨海—浅海陆棚相为主,局部发育碳酸盐岩台地相,盆地边缘发育过渡相沉积,有2个沉积中心,黑鹰山-额济纳旗坳陷带的沉积中心在碧云泉南-芦草井地区,柳园-巴丹吉林坳陷带的沉积中心在卡路山-杭乌拉一带。祥播期-冷坞期继承了前期的沉积格局,只是沉积范围向北西缩小,黑鹰山-额济纳旗坳陷带的沉积中心在芦草井地区,柳园-巴丹吉林坳陷带水体变浅,沉积中心在古硐井地区。     

香格里拉木星土组杂砂岩中锆石的年代学意义

二叠系木星土组杂砂岩中的锆石具有典型的碎屑锆石特征,用LA-ICP-MS法对锆石样品进行形态特征及年代学研究,表明这些锆石主要有两种来源,一是来自于岩浆源区,另一来自于古老的变质基底。     

云南岩子脚金矿床黄铁矿特征与金矿化的关系

对岩子脚金矿床黄铁矿矿物学、化学成分与金矿化关系的研究表明:早中期形成的黄铁矿颜色较深,颗粒较粗,金矿化较好;而晚期形成的黄铁矿粒径较小,不含金。总趋势是粒度愈粗含金量愈高。含金黄铁矿表现为S亏损、As偏高。     

小波变换在砂砾岩体期次划分中的应用——以胜利油田盐22块为例

盐家油田盐22块储层为典型砂砾岩储层,期次划分是储层研究难点.据小波变换基本原理、地质学意义及砂砾岩体储层特点,优选二进制dbn系列小波,对中子测井数据开展连续小波分析,利用岩心成像资料及不同尺度小波系数曲线,综合分析确定其小波变换尺度因子,最终开展砂砾岩储层期次划分.钻井及动态资料证实了期次划分的可靠性.     

Climatic and environmental variability during the termination of the Last Glacial Stage in coastal eastern Australia: a review

By comparison with the Northern Hemisphere, there is a paucity of high-resolution, continuous records extending into the Last Glacial Maximum from the Southern Hemisphere. With specific reference to coastal eastern Australia, there are long records of paleoclimatic and paleoenvironmental variability available from the tropical north and temperate south. However, there are significant spatial gaps between such records: in particular, until relatively recently, little attention had been paid to the subtropics. This review paper summarises understanding of regional paleoenvironmental and paleoclimatic variability in coastal eastern Australia during the termination of the Last Glacial Stage, with the aim of highlighting gaps in the current state of knowledge. Recommendations for future research are prioritised to answer knowledge gaps in understanding climate variability in eastern Australia between ca 33–18 kyr BP.     

Astronomical Dating of the Middle Miocene Hanjiang Formation in the Pearl River Mouth Basin,South China Sea

The Hanjiang Formation of Langhian age(middle Miocene) in the Pearl River Mouth Basin (PRMB),South China Sea consists of deltaic siliciclastic and neritic shelf carbonate rhythmic alternations,which form one of the potential reservoirs of the basin.To improve stratigraphic resolutions for hydrocarbon prospecting and exploration in the basin,the present study undertakes spectral analysis of high-resolution natural gamma-ray(NCR) well-logging record to determine the dominant frequency components and test whether Milankovitch orbital signals are recorded in rhythmic successions.Analytical results indicate the orbital cycles of precession(～19 ka and～23 ka), obliquity(～41 ka),and eccentricity(～100 ka and～405 ka),which provide the strong evidence for astronomically driven climate changes in the rhythmic alternation successions.Within biochronological constraint,a high-resolution astronomical timescale was constructed through the astronomical tuning of the NGR record to recent astronomically calculated variation of Earth’s orbit. The astronomically tuned timescale can be applied to calculate astronomical ages for the geological events and bioevents recognized throughout the period.The first downhole occurrences of foraminifers Globorotalia peripheroronda and Globigerinoides sicanus are dated at 14.546 Ma and 14.919 Ma,respectively,which are slightly different from earlier estimates in the South China Sea. When compared with the global sea-level change chart,the astronomical estimate for the sequences recognized based on microfossil distributions have the same end time but the different initiation time. This is probably due to the local or regional tectonic activities superimposed on eustatic rise which postponed the effect of global sea-level rising.Astronomical timescale also resolves the depositional evolution history for the Langhian Stage(middle Miocene) with a variation that strongly resembles that of Earth’s orbital eccentricity predicted from 13.65 Ma to 15.97 Ma.We infer that the main factor controlling the variability of the sedimentation rate in the Hanjiang Formation is related to the～405-ka-period eccentricity.     

Chironomid-based palaeotemperature estimates for northeast Finland during Oxygen Isotope Stage 3

Quantitative palaeotemperature estimates for the earlier part of Oxygen Isotope Stage (OIS-) 3 are inferred from subfossil chironomid remains. The high-latitudinal study site of Sokli, northeast Finland, provides for a unique lacustrine deposit covering the earlier part of OIS-3, and the chironomid remains found in the sediments show that a shallow lake with a diverse fauna was present at the study site throughout the record. Using a Norwegian calibration data set as a modern analogue, mean July air temperatures are reconstructed. The chironomid-inferred July air temperatures are surprisingly high, reaching values similar to the current temperature at the study site. Other proxies that were applied to the sediments included the analysis of botanical and zoological macro-remains, and our results concur with temperature estimates derived from climate indicator taxa. Summer temperatures for interstadial conditions, reconstructed with climate models, are as high as our proxy-based palaeotemperatures.     

岩体结构面剪切流变试验及模型参数反演分析

针对锦屏二级水电站地下洞室群围岩富含节理的实际情况,采用弱面直剪流变仪对组成隧洞围岩的主要岩样（板岩、大理岩）进行了含软弱夹层岩石的剪切流变试验,得出岩石夹层的剪应力-剪切位移时程曲线。通过对岩石夹层试验结果的分析,得出了岩石的长期强度参数,与快剪试验获得抗剪强度参数相比较发现长期抗剪强度参数有所降低,且凝聚力对剪切流变特性的影响略高于内摩擦系数。最后通过对6种模型的拟合分析,得出了适合岩石夹层的标准线性体流变模型,在此基础上通过反演分析得到了岩石夹层标准线性体黏弹-塑性剪切流变模型,并反演了该模型的参数。     

基于多维度声学特征优选的多波束海底底质分类

海底表层底质分布信息的准确获取在构建海洋基础地理数据库中发挥着重要作用。目前,多波束是实现大范围海底底质分类的有效手段之一,基于多波束测深和反向散射强度数据所派生的声学特征被广泛应用于底质分类建模。然而,随着特征维度的增加,特征空间中存在的无关和冗余特征严重影响底质分类精度。为了定量评估声学特征对底质类别的表征能力,并消除无效特征对分类结果的干扰,本文提出了基于多维度声学特征优选的海底底质分类方法。首先,结合实际底质样本的物理属性对多维特征进行排序和优选,排除冗余和无关特征。其次,分别应用支持向量机、随机森林和深度信念网络构建海底底质监督分类模型。通过利用爱尔兰海南部多波束调查数据和实地取样信息进行试验,结果表明提出方法对海底底质的总体分类精度和Kappa系数分别最高达到了86.20%和0.834,相较于主成分分析和熵指标特征选择方法有明显提高,突出了该方法在海底底质探测及制图的应用潜力。     

基于SIFT特征检测和密度峰值聚类的太阳活动区自动检测算法研究

太阳活动区是太阳大气中产生各种活动现象的区域,精确地检测和识别太阳活动区对理解太阳磁场的形成机制具有极为重要的科学意义.根据太阳活动区结构较为复杂的特点,基于尺度不变特征变换(ScaleInvariant Feature Transform, SIFT)和密度峰值聚类(Clustering by Fast Search and Find of Density Peaks,DPC)算法的优越性,提出了一种太阳活动区的自动检测和识别方法.首先,对太阳动力学天文台(Solar Dynamics Observatory, SDO)日震和磁场成像仪(Helioseismic and Magnetic Imager, HMI)的纵向磁图进行对比度增强;然后采用SIFT方法提取出全日面磁图中的特征点;最后利用DPC算法将特征点进行聚类,从而自动检测和识别出太阳活动区.研究结果表明, SIFT和DPC算法相结合的方法可以在不需要人工交互的情况下准确地自动检测出太阳活动区.