基于非连续变形分析方法的深部沿空掘巷围岩变形破坏及控制机制对比研究

利用非连续变形分析方法（DDARF）对单节理锚固试件在单轴压缩条件下的变形破坏及裂隙扩展过程进行分析,并以深部厚顶煤综放沿空掘巷--赵楼煤矿11302工作面轨道巷为工程背景,应用DDARF对沿空巷道围岩的变形破坏及控制机制进行研究,同时利用地质力学模型试验及现场试验进行对比验证。重点分析了沿空巷道围岩裂隙演化规律,并定义裂隙率 及裂隙减少率 两个指标对DDARF计算中的沿空巷道裂隙演化规律进行定量分析。研究结果表明：采用DDARF方法对单节理试件在无锚和加锚条件下的单轴压缩试验计算与室内试验结果相吻合;对沿空掘巷过程中巷道围岩变形情况进行DDARF计算,结果显示,围岩变形呈现沿空帮>顶板>实体帮>底板的变化趋势,与模型及现场试验监测数据相符;根据 及 两个指标对计算得到的无锚和加锚沿空巷道围岩裂隙发育情况进行定量分析,结果显示,沿空巷道围岩破坏趋势为 ,与变形趋势相一致;虽然锚固效果明显,但由于Ⅰ区、Ⅱ区本身围岩破碎严重,支护后裂隙率最大的 仍然是裂隙率最小的 的2.13倍,为了维护围岩稳定性,除了进行锚杆（索）非对称支护外,还应对Ⅰ区、Ⅱ区关键部位增加支护措施。DDARF方法关于沿空巷道围岩变形破坏的计算结果与实际工程相近,可有效开展裂隙演化与变形破坏机制研究,分析此类巷道的控制对策。     

云冈石窟砂岩循环冻融试验研究

风化是云冈石窟目前所面临的严重的地质病害之一,温度和水分的变化是造成石窟岩体风化的重要原因,尤其是在循环冻融条件下岩体更易风化,因此,利用室内试验研究循环冻融条件下云冈石窟砂岩的物理力学性质,对于石窟岩体的稳定性评价和保护具有重要的意义。将取自云冈石窟的砂岩岩样分为饱水组、干燥组和对比组3组,通过对饱水组和干燥组岩样进行35次循环冻融试验,模拟云冈石窟砂岩的风化过程。在冻融循环开始前以及每5次冻融循环结束后,量测岩样的质量、体积,并利用超声检测分析仪对各岩样进行超声纵波测试;利用INSTRON－1346岩石伺服试验机对上述3组砂岩岩样进行单轴压缩试验,并对试验后的岩样进行SEM微观结构分析。通过试验研究,得到不同含水状态下云冈石窟砂岩岩样的冻融破坏特征以及不同循环冻融次数后岩样体积、质量、超声波纵波波速、砂岩的单轴应力-应变全过程曲线、抗压强度、抗冻系数以及微观结构的变化,分析归纳出循环冻融条件下云冈石窟砂岩的主要物理力学特性。     

The geotectonic characteristics and geodynamic evolution of the Red Sea Rift and its adjacent areasSCIEI北大核心CSCD

红海是地球上最年轻的大洋,其板块构造活动正处于威尔逊旋回的幼年期。红海南北两端分别连接着威尔逊旋回的胚胎期和终结期,即东非大裂谷和地中海。这一独特的地理位置和构造部位使其成为板块构造理论研究的圣地。本文通过对已有的地质、地球物理和地球化学资料进行综合分析,了解了红海地区的地形、重磁异常和沿脊的玄武岩地球化学组成等地质构造特征,探讨了红海裂谷的洋壳分布、地幔源区不均一性以及扩张演化历史等问题。红海地形中间深、南北两端浅,可以分为北、中北、中南、南等四段。重磁异常的条带主要出现在中南段,其他段不明显,因而限制了以往对红海扩张历史的认识。目前认为红海全段存在洋壳,红海两岸的沿岸悬崖是共轭扩张陆缘,呈向南开口的喇叭型扩张,而非对应红海岸线的梭子型。红海裂谷沿脊的地幔源区具有明显的不均一性,南段玄武岩显示E-MORB特征,表现为阿法尔地幔柱的影响。红海的发育经历了裂谷前火山作用(31~29Ma)、大陆张裂(29~13Ma)和洋底扩张(<13Ma)三个主要阶段。红海裂谷的形成演化与非洲大陆的裂解、阿法尔地幔柱的活动、新特提斯洋的闭合等密切相关,了解红海的地球动力学过程将为揭示区域大地构造演化以及板块运动规律提供依据。     

鄂尔多斯盆地西南缘上奥陶统平凉组岩石特征及沉积环境

为研究鄂尔多斯盆地西南缘上奥陶统平凉组岩石特征及沉积环境,基于沉积学相关理论和方法,根据野外露头、古生物及粒度分析等资料,对研究区岩石特征、沉积相及主控因素开展了研究。结果表明：①研究区平凉组可划分3种岩相和2种岩相组合。②通过综合研究岩性、古生物、沉积构造及粒度参数等资料,确定平凉组沉积环境为深水斜坡。③沉积相为海底扇,在此基础上可划分为中扇和下扇2个亚相,近端朵叶和远端朵叶2个微相。④海底扇的主控因素为相对海平面升降、构造运动和物源供给。     

Simulation Study on the Impact of Taihang Mountain Slopes on Downhill Front Cyclone Rainstorm

The statistical and diagnostic analysis of precipitation in Hebei Province in the past six years shows that the mid-south of the North China Plain on the east side of the Taihang Mountains is an area of frequent rainstorm disasters in summer. The rain belt is mostly distributed along the Taihang Mountains, and the rainfall is often over 700mm. Focus was on the summer downhill frontal Yellow River cyclone, which accounted for 20% of the 73 storm days in the statistical samples. The analysis of the typical frontal cyclone heavy rain in 2016 shows that the meridional distribution of the Taihang Mountains cooperates with the climbing mountain jet in the north of the cyclone and the southward flow in the west of the cyclone, leading to the formation of a deep narrow cold temperature trough along the mountain orientation. It enhances the temperature gradient in the frontal cyclone, enhances the baroclinicity of the cyclone and the intensity of the rotating wind, resulting in augmentation of the cyclone and slowing of the eastward movement. Through the cooperation of the entanglement of the cyclone jet and the mountain block, a deep and abundant water vapor environment is formed, and the moving westward of water vapor flux and the low-level water vapor main body are hindered; The high-energy tongue convection instability on the eastern side of the mountain range is formed, a strong uplift with abundant water vapor masses is triggered, and three critical areas of vertical motion occurred, which restricts the rainstorm locations. Numerical experiments on the mechanism of the influence of the slope of the Taihang Mountains on heavy rain show that the downhill rainstorm area is parallel to the mountain range, and the meridional mountain range can cause a greater range of heavy precipitation. It is also easy to cause double frontal precipitation locally by a same cyclonic warm front and cold front, resulting in a long duration of heavy rain. The slope of the mountain is proportional to the intensity of the mountain block and forms the wet convection instability with the dry at lower and wet at upper overlapping on a thermal instability of the front zone with cold at lower and warm at upper, such as the total instability is stronger. The slope of the mountain is proportional to the increase and maintenance time of the cyclone decompression during downhill. It is inversely proportional to the decline to the North China Plain, which affects the path and speed of the cyclone eastward movement.     

新疆卡特巴阿苏金铜矿区二长花岗岩锆石SHRIMPU-Pb年龄及地质意义

新疆卡特巴阿苏金铜矿床是在那拉提中天山构造带内发现的首个特大型金铜矿床,矿床赋存于二长花岗岩体的脆性断裂破碎带内。通过对二长花岗岩的锆石进行SHRIMP U-Pb测年,获得25粒锆石加权平均值为(359.3±5.3)Ma,表明该岩体侵位时间为晚泥盆世末期,同时限定了卡特巴阿苏金矿金铜矿床的形成年龄上限为(359.3±5.3)Ma。     

新疆富蕴地区前寒武纪地层的物质组成及其构造变形特征

新疆西北部阿尔泰地区发育一套片岩、片麻岩,从境内铁列克以东的塔乌乃萨孜一带向东南延伸到蒙古阿尔泰山南坡,统称冲乎尔—青河构造建造带.该带以特殊的构造位置和复杂的变形变质特征,成为研究阿尔泰造山带发展、演化的重要热点之一.通过对新疆西北部阿尔泰地区变质岩(前寒武纪地层)的物质组成、变形变质方面的资料收集和分析研究,区域地层对比等,按构造—岩石(地层)单位进行了划分.认为该套地层经受过中深层次的区域动力热流变质作用,变质达角闪岩相,是阿尔泰地区前寒武系基底的组成部分,其中的古元古代克木齐岩群和中元古代苏普特岩群变形具有多期次和多层次的特征,不同构造层次的变形均保留了丰富的构造变形形迹.     

阿尔泰可可托海地区泥盆纪花岗岩特征及其地质意义

阿尔泰南缘可可托海地区发育大量的400Ma左右的泥盆纪花岗岩。岩石SiO2含量在62.36%～77.41%, 里特曼指数σ介于0.43～1.88, A/CNK 值在0.97～1.12, 属中钾、钙碱性、准铝质-弱过铝质岩石。具有富集Rb、Th、U等大离子亲石元素和轻稀土元素, 相对亏损重稀土和Nb、Ta、Ti等高场强元素, 弱-中的负Eu异常的岛弧岩浆岩特征。结合区域地质资料, 可可托海地区泥盆纪花岗岩形成于活动大陆边缘的陆缘弧构造环境, 是古亚洲洋向北俯冲的产物。     

从源到汇:大别造山带物源区与合肥盆地南缘中生代沉积耦合关系——来自碎屑锆石U-Pb年龄证据

形成于印支期的大别造山带和周缘中生代盆地构成了一级源汇系统,其中位于造山带北缘的合肥盆地中生代地层发育,且以盆地南缘出露最好,这为盆山源汇系统研究提供了理想的沉积记录。笔者从合肥盆地南缘采集了10个砂岩样品和1个砾岩样品,进行锆石U/Pb (LA-ICP-MS)定年分析,获得了742个有效年龄(置信度不小于85%),范围为113±3. 6-2983 Ma。这些碎屑锆石年龄谱可以被分为5个年龄段:113-137 Ma,峰值131 Ma; 184-273 Ma,峰值226 Ma; 274-517. 3 Ma,具有2个峰值280 Ma和474 Ma; 532-856. 6 Ma,具有3个峰值572 Ma、649 Ma和772 Ma; 1786-2600 Ma,具有2个峰值2035 Ma和2506 Ma。同时,总结了物源区大别造山带不同单元锆石U-Pb年龄特征。根据锆石U/Pb年龄和Th/U值,发现这5个年龄段比较准确地记录了物源区地质体,分别是早白垩世的岩浆岩、大别山高压—超高压变质岩、北淮阳的浅变质岩、北大别的正片麻岩和卢镇关群变质岩。根据锆石最小年龄,修正了合肥盆地南缘中生代地层格架,为源汇系统研究确立了时间框架。合肥盆地南缘中生代沉积可以分为4个演化阶段:晚三叠世瑞替期—早侏罗世辛涅缪斯期、中—晚侏罗世、早白垩世早期和早白垩世晚期,并据此确定了每个阶段主要物源区特征及其时空变化。碎屑锆石U/Pb年龄和Th/U值限定了大别造山带仅存在三叠纪的超高压变质作用,且超高压变质岩折返到地表的最早时间是晚三叠世瑞替期,大别造山带大陆岛弧发育的时间是新元古代。上述研究结果不仅为恢复大别造山带构造古地理做出了新的贡献,而且更为盆山源汇系统研究提供了一个实例。     

Application and Verification of Joint Probability Method in Potential Forecast for Severe Convective Weather in Anhui Province

In consideration of large uncertainties in severe convective weather forecast, ensemble forecasting is a dynamic method developed to quantitatively estimate forecast uncertainty. Based on ensemble output, joint probability is a post-processing method to delineate key areas where weather event may actually occur by taking account of the uncertainty of several important physical parameters. An investigation of the environments of little rainfall convection and strong rainfall convection from April to September (warm season) during 2009-2015 was presented using daily disastrous weather data, precipitation data of 80 stations in Anhui province and NCEP Final Analysis (FNL) data. Through ingredients-based forecasting methodology and statistical analysis,four convective parameters characterizing two types of convection were obtained, respectively, which were used to establish joint probability forecasting together with their corresponding thresholds. Using the ECMWF ensemble forecast and observations from April to September during 2016-2017, systematic verification mainly based on ROC and case study of different weather processes were conducted. The results demonstrate that joint probability method is capable of discriminating little rainfall convection and non-convection with comparable performance for different lead times, which is more favorable to identifying the occurrence of strong rainfall convection. The joint probability of little rainfall convection is a good indication for the occurrence of regional or local convection, but may produce some false alarms. The joint probability of strong rainfall convection is good at indicating regional concentrated short-term heavy precipitation as well as local heavy rainfall. There are also individual missing reports in this method, and in practice, 10% can be roughly used as joint probability threshold to achieve relative high TS score. Overall, ensemble-based joint probability method can provide practical short-term probabilistic guidance for severe convective weather.