祁连山七一冰川表面运动特征最新观测研究

为了保持对祁连山七一冰川运动变化情况观测的连续性,进一步揭示全球气候变暖背景下山岳冰川的运动变化规律,对布设在七一冰川表面的花杆进行了定期观测,获取了2012年7-8月以及2013年8-9月冰川考察期间的最新观测数据（花杆位置、冰川末端边界以及物质平衡等数据资料）,通过对数据进行分析,获得了七一冰川表面的运动状况以及末端进退变化情况. 结果表明：空间分布特征方面,七一冰川在横剖面以及纵剖面的运动保持了一般山岳冰川的运动规律;横剖面上,主流线附近冰川运动速度较两侧运动速度要大;纵剖面上,由冰川末端到零物质平衡线,冰川运动速度逐渐增大;运动方向上,七一冰川运动速度矢量大多沿主流线向下运动,或者稍微偏离主流线一定方向. 在冰川运动速度时间分布特征方面,七一冰川在消融季与非消融季的运动速度差异显著,消融季运动速度要明显大于非消融季运动速度. 最近几十年,七一冰川整体运动速度呈现出了逐年减小的趋势. 在2012年8月至2013年8月期间,冰川末端退缩了大约5～7 m,退缩较为显著.     

Characteristics and Genetic Mechanisms of Overpressure in the Depressions of Bohai Bay Basin, China

The distribution and genetic mechanisms of abnormal pressures in the Bohai Bay Basin were systematically analyzed. Abnormal pressures are widely developed in the Bohai Bay Basin, primarily in the Paleogene E2s4, E2s3, Es1, and Ed formations. From the onshore area of the Bohai Bay Basin to the center of the Bozhong area, the top depth of the overpressured zone in each depression increases gradually, the overpressured strata in each depression gradually move to younger formations, and the pressure structure successively alters from single-bottom- overpressure to double-bottom-overpressure and finally to double-top-overpressure. The distribution of overpressured area is consistent with the sedimentary migration controlled by the tectonic evolution of the Bohai Bay Basin, which is closely related to the hydrocarbon-generation capability of active source rocks. The overpressured strata are consistent with the source-rock intervals in each depression; the top of the overpressured zone is synchronous with the hydrocarbon generation threshold in each depression; the hydrocarbon generation capability is positively correlated with the overpressure magnitude in each formation. Undercompaction was the main mechanism of overpressure for depressions with fluid pressure coefficients less than 1.2, whereas hydrocarbon generation was the main mechanism for depressions with fluid pressure coefficients greater than 1.5.     

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

As threats of landslide hazards have become gradually more severe in recent decades,studies on landslide prevention and mitigation have attracted widespread attention in relevant domains.A hot research topic has been the ability to predict landslide susceptibility,which can be used to design schemes of land exploitation and urban development in mountainous areas.In this study,the teaching-learning-based optimization(TLBO)and satin bowerbird optimizer(SBO)algorithms were applied to optimize the adaptive neuro-fuzzy inference system(ANFIS)model for landslide susceptibility mapping.In the study area,152 landslides were identified and randomly divided into two groups as training(70%)and validation(30%)dataset.Additionally,a total of fifteen landslide influencing factors were selected.The relative importance and weights of various influencing factors were determined using the step-wise weight assessment ratio analysis(SWARA)method.Finally,the comprehensive performance of the two models was validated and compared using various indexes,such as the root mean square error(RMSE),processing time,convergence,and area under receiver operating characteristic curves(AUROC).The results demonstrated that the AUROC values of the ANFIS,ANFIS-TLBO and ANFIS-SBO models with the training data were 0.808,0.785 and 0.755,respectively.In terms of the validation dataset,the ANFISSBO model exhibited a higher AUROC value of 0.781,while the AUROC value of the ANFIS-TLBO and ANFIS models were 0.749 and 0.681,respectively.Moreover,the ANFIS-SBO model showed lower RMSE values for the validation dataset,indicating that the SBO algorithm had a better optimization capability.Meanwhile,the processing time and convergence of the ANFIS-SBO model were far superior to those of the ANFIS-TLBO model.Therefore,both the ensemble models proposed in this paper can generate adequate results,and the ANFIS-SBO model is recommended as the more suitable model for landslide susceptibility assessment in the study area considered due to its excellent accuracy and efficiency.     

橡胶砂弹性动力学参数的弯曲-伸缩元试验研究

橡胶砂作为一种廉价环保的土工材料,应用前景十分广阔,关于其力学特性的研究具有重要意义。采用弯曲–伸缩元法对橡胶砂进行了剪切波和压缩波联合测试,分别采用离散频率扫描法和初达波法确定了剪切波和压缩波的传播时间,进而得到其弹性动力学参数:初始剪切模量、侧限模量和泊松比,分析了橡胶含量和围压对橡胶砂弹性动力学参数的影响。结果表明:在同样围压下,随着橡胶含量的增加,橡胶砂初始剪切模量和侧限模量逐渐减小,初始泊松比逐渐增大;在同样橡胶含量下,随着围压的增大,橡胶砂初始剪切模量和侧限模量逐渐增大,初始泊松比逐渐减小。最后,在此基础上进行了两种因素耦合效应的分析以及相关力学机制的探讨。     

西藏仲巴地区曲嘎组的拆解

根据1∶5万仲巴地区区域地质调查,对雅鲁藏布江缝合带西段夹持于2套混杂岩之间的仲巴微地体原二叠系曲嘎组进行了拆解。研究认为：①原曲嘎组可以解体为3套地层,分别是下古生界的奥陶系—志留系紫曲浦群、上古生界泥盆系纳登尔组和石炭系—二叠系曲嘎群,新建曲嘎群与原曲嘎组没有直接对应或者级别关系;②紫曲浦群以变质碳酸盐岩为主,下部紫曲电站组为紫红色、灰色大理岩与结晶灰岩组合,属中—晚奥陶世,上部紫曲石组以紫红色大理岩为特征,暂归志留纪;③纳登尔组由一套灰色千枚状板岩和钙质片岩组成,上部结晶灰岩增多,时代为泥盆纪,可归属马攸木群;④曲嘎群可划分为3个组：岗珠淌组,以灰色、灰绿色板岩、粉砂岩为主,向上砂岩和灰岩增多,属于石炭纪—早二叠世（乌拉尔世）早期;仲巴组,以肉红色灰质晶粒白云岩及杂色生物屑云质灰岩为特点,分为2个岩性段,属于早—中二叠世（乌拉尔世—瓜德鲁普世早中期）;卡扎勒组以深灰色钙质板岩为主或夹结晶灰岩和砂岩或互层,属于中—晚二叠世（瓜德鲁普世—乐平世）;⑤仲巴地区曲嘎组的拆解在仲巴微地体西部和老仲巴以东的应用有待证实,其在岩性上与相邻地体同期地层有较大差别,但在生物群组成方面具有相似性。     

基于热储法的鲁西平原地热资源评价

鲁西平原地处山东省的西南部,热储层主要有新近系馆陶组、明化镇组,古近系东营组和奥陶系。通过野外勘察和室内分析结果,选取合理的计算参数,利用热储法等对鲁西平原地热资源进行了评价。结果表明鲁西平原地区地热资源量达1.735 5×1021J,折合标准煤5.923 3×1010t;可利用地热资源量达3.252×1020J,折合标准煤1.110×1010t;热储层百年地热水储存量为4.229×1011 m3,地热水允许开发量为4.229×1011 m3。     

祁连山冻土区天然气水合物烃类气体组分 的特征和成因

祁连山冻土区天然气水合物DK-2科学钻探试验孔水合物储集层岩心气样的烃类气体组分和C同位素分析测试结果表明,祁连山冻土区天然气水合物烃类气体组分复杂,除甲烷外,还含有较高的乙烷和丙烷;δ13C1均大于-50‰,R值普遍小于100,显示出明显的热解气特征。结合钻探区的地质背景和岩性特征,初步判断气体大多来源于深部迁移上来的油型气,并有部分原地煤成气的混合。     

强震作用下铁路隧道横通道交叉结构抗震措施研究

依托四川茂县跃龙门铁路隧道工程,以主线单线隧道与横通道正交结构为研究对象,通过ABAQUS建立有限元分析模型。选取El-Centro地震波数据,通过应用扩展有限元理论,对横通道与主隧道交叉结构在最不利地震条件下的裂损进行研究,并提出减震层结合柔性接头的抗震措施。研究分析得到:减震层结合柔性接头的设置减小并抑制了交叉结构隧道在强震作用下的开裂范围。柔性接头的设置阻止了纵向裂缝的扩展,在交叉口处中部设置环向柔性接头能完全阻止交叉部位拱顶的裂缝生成;在初期支护和二次衬砌之间设置减震层,给予衬砌更大变形空间,使二次衬砌不易受初期支护变形受力影响而开裂。     

泥潭冲金矿床中毒砂标型特征及金的赋存状态

泥潭冲金矿床为主要受近EW向脆-韧性剪切带控制的砷金矿床,是龙王江锑砷金成矿区最具代表性和经济意义的金矿床.文章阐述了矿床地质特征,探讨了载金矿物毒砂的标型特征和金的赋存状态,认为毒砂中的"不可见金"主要为纳米级微粒状的自然金.     

文本特征提取的研究进展

文本理解是人工智能的一个重要分支,其技术推动了人与计算机之间在自然语言上的有效交互.为了让计算机准确地理解和感知文本数据,文本特征提取是最为基础和关键的步骤之一.基于此,本文介绍文本特征提取研究的发展历史,以及近年来主流特征提取的方法,并对未来的研究方向进行展望.首先,介绍语义最底层的词级表示;接着,总结在词级表示基础上衍生出的句级表示上的研究进展;随后,介绍比词级表示和句级表示更高层的篇分析;最后,通过文本特征提取的一个典型应用——问答系统的介绍,阐述文本特征提取的最新方法和技术在问答系统上的应用,并对未来的研究方向做了展望.