浙西北平水铜矿细碧角斑岩成岩年龄及其地质意义

文章对浙西北平水铜矿赋矿围岩双溪坞群平水组细碧角斑岩中锆石进行了LA-ICP-MS U-Pb同位素年龄测定。结果显示锆石Th/U比值为0.42~2.28,明显高于Th/U比值小于0.1的变质成因的锆石,为典型岩浆成因锆石。几乎所有的锆石颗粒样品都投影在谐和曲线上及其附近,细碧岩年龄加权平均值为(952±5)Ma(n=18,MSWD=0.19),角斑岩年龄加权平均值为(954±8)Ma(n=15,MSWD=0.51);结合锆石自形、发育岩浆环带等特点,该年龄是平水组细碧角斑岩的形成年龄。结合前人研究及地质事实,本次研究确定双溪坞群平水组细碧角斑岩的成岩年龄为新元古代(950 Ma左右);认为江南造山运动发生的上、下限虽还没有最终限定,但它东端的造山运动很可能介于1.0~0.9 Ga;钦杭成矿带北东段地区有寻找同类矿床的潜力。     

放养密度对大杂交鲟生长性能的影响及生理应答机制

为探讨放养密度对鱼类生长及生理应答机制的影响规律和作用,作者以大规格大杂交鲟(达氏鳇(Huso dauricus)♀×施氏鲟(Acipenser schrenckii)♂)为实验材料,研究了平均初始体质量约为243 g/尾,放养密度分别为6(SD1组)、9(SD2组)、12(SD3组)、15 kg/m3(SD4组)条件下,不同放养密度处理70 d后的实验鱼生长性能变化及生理应答机制。结果显示,放养密度对大杂交鲟肥满度影响不显著,SD2组鱼类具有最大的特定生长率和生长效率,随着放养密度增加,日增质量显著降低(P0.05),特定生长率和生长效率下降。测定了血液甲状腺素(T4)、三碘甲腺原氨酸(T3)和皮质醇水平变化,发现放养密度能引起大杂交鲟3个血液生理指标发生显著改变;随着养殖时间推移,T3和皮质醇浓度显著升高,T4浓度显著下降(P0.05)。这些结果说明神经内分泌活动的变化引起大杂交鲟血液生理指标变化,进而影响实验鱼生长性能。因此,在该养殖条件下推荐的养殖密度为9 kg/m3。     

新疆乌鲁木齐东部早二叠世枕状玄武岩火山岩系的发现及大地构造意义

新疆乌鲁木齐东部野生动物园附近的下二叠统下部发育了一套以枕状玄武岩为代表的火山岩系。该玄武岩在公路上发育有两层,上部一层较厚,可达7～8m,下部一层2～3m。岩枕近圆形、肾状、枕状、条带状或蠕虫状等,多呈顶突底凹。岩枕长轴平行排列,长轴基本顺层面分布;有的岩枕中含大量海百合茎、珊瑚及腕足等生物化石。在TAS图中大部分样品位于玄武粗安岩,而在K_2O-SiO_2图上主要落在低K拉斑玄武岩区间。MnOTiO_2-P_2O_5图解显示以岛弧为主,常量元素的特征总体上更接近岛弧玄武岩。在Hf/3-Th-Ta图解上也以岛弧为主;在Zr/4-2Nb-Y图解显示以火山弧为主,常量元素的特点总体上更接近岛弧玄武岩。微量元素原始地幔标准化蛛网图表明为同源岩浆产物,具高度相似的演化过程,多种微量元素判别图揭示岛弧-弧后盆地环境;稀土总量明显较低,在稀土元素球粒陨石标准化图解上,其稀土分布曲线一致性较好,呈轻稀土富集右倾型,Eu为负异常,揭示了乌东玄武岩岩浆有一定分异。稀土元素配分曲线与弧后盆地玄武岩(BABB)具有很好的一致性。U-Pb和谐年龄为283±8Ma,结合地层及古生物资料推测乌东玄武岩喷发的时间为早二叠世早期。乌东枕状玄武岩-灰岩之下有一套(磨拉石)底砾岩,初定为石炭-二叠系的界限。底砾岩之下为下石炭统的中厚层灰岩,具有明显的喀斯特化,为不整合接触,揭示在两者之间发生了造山作用。通过对新疆乌东早二叠世早期的枕状玄武岩的地质特征、地球化学特征、形成环境和时代的研究,表明乌东一带早二叠世主要为一个岛弧和弧后盆地环境,进一步揭示了北天山北缘石炭-二叠世碰撞闭合造山之后又发生了松弛扩张形成了弧后盆地,海水再度大规模入侵。最终的闭合碰撞造山的时间最早可能在晚二叠世。由于乌东枕状玄武岩在喷出地表后受到了生物化石和陆源碎屑的污染,再加上侵入过程中地壳的污染,使其具有非常复杂的地球化学特点和多解性。乌东玄武岩的研究对于了解博格达山、甚至天山中段在晚古生代的构造沉积演化及造山作用具有重要意义,同时对准噶尔盆地、吐哈盆地及三塘湖盆地油气资源的形成与分布具有重要意义。     

新疆乌苏市巴音沟煤层气勘探井护壁堵漏技术

在煤层气勘探井固体岩心钻探施工过程中,遇岩层构造发育、地下水系发达的施工条件,钻进中往往发生钻井多层漏失、护壁困难的情况。因煤层气勘探井对录井工作的特殊要求,护壁堵漏工作的成功与否成为钻探施工的关键。在进行钻井护壁堵漏处理时,因技术方法不得当或未采取正确的计算经常导致护壁堵漏失败,甚至引发重大的钻探事故。通过对工区施工的经验总结,提出了切实可行的护壁堵漏技术措施,为类似地层钻井勘探施工提供借鉴。     

Volume estimation and stage division of the Mahu landslide in Sichuan Province,China

The Mahu lake, the third deepest lake in China, is located on the west bank of the Jinsha River in Leibo county, Sichuan Province. It is a dammed lake created by an old landslide on the ancient Huanglang river, a tributary on the west bank of the Jinsha River. Previous studies (Wang and Lu in J Mt Res S1:44–47, 2000) suggested that this landslide was caused by an earthquake approximately 372 ka (Middle Pleistocene), during which a few hundreds of million cubic meters of debris were deposited between 1177 and 900 m a.s.l. (above sea level), covering an area of around 15 km². Our further investigations, including geodetic survey, borehole drilling, and field reconnaissance, combining with five chronological data, have made some new discoveries at this site. First, the toe of the landslide extends from 900 m a.s.l. down to 320 m a.s.l., i.e., the local bed elevation of the contemporary Jinsha River. Second, the area of the landslide deposits is 17.3 km² with a volume of 2.38 km³, much larger than the previous estimation. Thus, it should be one of the largest known landslides in China. And the lower elevation of the landslide’s toe also rules out the possibility that it is a hanging valley on the ancient Huanglang river. Our work suggests that this landslide was created by five events according to the overlapping characteristics of the deposits and five chronological data, which are old than 52,600 years, old than 16,000 years, old than 15,500 years, 5800 years, and old than 4200 years, respectively.     

一种盾构施工引起的地面沉降预测方法

针对盾构施工引起的地面沉降的影响因素众多、关系错综复杂,常规数学模型难以准确预测沉降量的问题,该文提出了采用主成分分析法和粒子群优化的支持向量机方法来建立预测模型。并结合工程实例将预测结果与常用的多元线性回归模型和基于Levenberg-Marquardt算法改进的BP神经网络模型(LM-BP)的预测结果做了比较。结果表明:PCA-PSO-SVM的预测结果精度较多元线性回归模型和LM-BP神经网络有很大的提高,证明了该研究方法具有一定的理论意义和参考价值。     

Network-based triple-frequency carrier phase ambiguity resolution between reference stations using BDS data for long baselines

Network-based ambiguity resolution (AR) between reference stations is the prerequisite to realize a precise real-time kinematic positioning service. With the help of BDS triple-frequency signals, we can efficiently deal with the ionospheric delay and tropospheric delay, and achieve rapid and reliable AR. To overcome the inaccurate ionospheric delay estimated by the geometry-free three carrier ambiguity resolution (GF TCAR) technique, which leads to failure in the original ambiguity resolution, we propose an ionospheric-free (IF) TCAR method to resolve the ambiguity between the reference stations over long baselines. Taking full advantage of the known positions of the reference stations, the easily resolved extra-wide-lane (EWL) ambiguity, and the IF phase combinations, we can reliably fix the wide-lane (WL) ambiguity. A Kalman filter is applied to estimate precise IF ambiguities and the original ambiguity is resolved with the fixed WL ambiguity. A numerical analysis with triple-frequency BDS data from three long baselines of a CORS network is provided to compare the AR performance of GF TCAR with that of IF TCAR. The results show that both methods can reliably resolve the WL ambiguity with a remarkable correctly-fixed rate of higher than 99%, and the reliably-fixed rates of the IF TCAR slightly increase from 92.19, 94.67 and 94.61–98.26, 99.54 and 97.51% for the three baselines. Herein “correctly-fixed” and “reliably-fixed” mean the difference between the float ambiguity and the true one are less than ± 0.5 and ± 0.25 cycles, respectively. On the other hand, the AR performance of the original signals with the IF TCAR method is much better than that with the GF TCAR method attaining a 100% correctly-fixed rate, while the GF TCAR method can hardly fix the original ambiguity with the largest bias being as much as 4 cycles because of the amplified systematic bias.     

An improved ionosphere interpolation algorithm for network RTK in low-latitude regions

A traditional interpolation algorithm with the linear interpolation method (LIM) using a fixed number of reference stations is widely used in network RTK to obtain the ionospheric delays for the users. In low-latitude regions, where the ionosphere is relatively active, however, large interpolation errors exist, especially for satellites at low elevation angles. Considering the characteristics of “coinciding ionospheric pierce points (CIPPs)” with a similar nature of ionospheric delays, an improved interpolation algorithm is proposed. In this algorithm, all stations with CIPPs are used to establish the interpolation model; thus, more precise interpolation model is achieved. To validate the performance of the proposed algorithm, data from some reference stations in Guangdong Province of China were used, and the results are compared with those with the traditional interpolation algorithm. Numerical analysis shows that the interpolation accuracy of the proposed algorithm increases by 10–30% compared with the traditional one. Since the number of reference stations is flexible, the proposed algorithm can also balance the model accuracy with the computation burdens. In addition, the proposed algorithm is less affected by the selection of master reference station. In terms of network RTK on-the-fly positioning, the time-to-first-fix is reduced when replacing the traditional interpolation algorithm with the proposed one.     

基于工业摄影测量在狭长空间内的方案设计与实验分析

为解决当前在煤矿巷道、立井、隧道等地下狭长空间内通视条件差、无卫星信号、不易设站等因素导致测量困难的问题,本文提出了一种基于工业摄影测量系统的狭长空间点位测量方法。根据工业摄影测量网形设计的原则,进行狭长空间内点位测量初步方案设计,通过实验验证方案的可行性,并结合像片概略定向原理和误差传播定律,对比实验精度分析结果,对测量方案进行了多方面优化,确定最优方案。     

火山活动对烃源岩的影响——以乌伦古地区石炭系为例

正在我国陆相含油气盆地(如松辽盆地营城组)中,烃源岩形成过程中常常伴有火山-热液活动(赵岩等,2016),因此,二者之间的相互关系也备受关注,目前国内外已有大量相关报道。乌伦古地区位于准噶尔盆地东北缘,登记面积约7.4×10~3km,油气显示较为活跃,且全区受火山活动影响较为强烈,火山岩与碎屑岩同层的现象尤为普遍。因此,探讨火山活动对烃源岩生成演化影响,对烃源岩的生烃演化能力的客观评价具有十分重要的意义,同时对油气勘探和开发具有科学的指导意义。