南天山巴音布鲁克花岗岩岩体成因:锆石U-Pb定年、Hf同位素及其地球化学证据

巴音布鲁克岩体为南天山北缘出露不多的代表性早古生代花岗岩体,由二长花岗岩和钾长花岗岩构成,两类岩石均显示富集Rb、Ba、Th、K和Pb等LILE,亏损Nb、Ta、Ti等HFSE的活动陆缘弧岩浆地球化学特征。其中,二长花岗岩相对低SiO_2和K_2O,略高CaO、Fe_2O_3T和MgO,具轻重稀土中等分馏、弱负Eu异常的稀土元素分布模式。钾长花岗岩明显高SiO_2,富K_2O,低CaO和MgO,强烈亏损Sr、Ba、Eu、Ti和P,高DI指数(94.31~95.52)和高Rb/Sr比值,轻重稀土中等分馏,呈现出强负Eu异常的稀土分布模式,指示岩浆经历了较高程度演化。二长花岗岩和钾长花岗岩分别获得464.5±3.5Ma和430.2±3.2 Ma的形成年龄,对应的锆石εHf(t)分别为-8.66~-6.56和-5.33~-2.19,Hf陆壳模式年龄TDMC分别为1.58~1.69Ga和1.33~1.49Ga,明显高于其形成年龄,表明岩浆主要源自中元古代基底陆壳物质的部分熔融。结合南天山北缘和中天山南缘类似的同期花岗岩的广泛出现认为,巴音布鲁克岩体中的二长花岗岩和钾长花岗岩分别代表了南天山洋早期俯冲消减活动陆缘弧岩浆和晚期成熟岩浆演化的结果,表明其大洋俯冲消减作用一直持续到志留世仍未结束。     

GNSS空间信号法时差监测方法与结果分析

比较了3种基于GNSS空间信号进行时差监测的方法,其中,单站精密单点定位（PPP）时差监测法依赖于卫星轨道和钟差的精度,高精度PPP一般采用事后处理的方法;网解时差监测法受卫星轨道误差的影响较小,且不受卫星钟差误差的影响,因此能够用于高精度时差实时监测。为分析不同方法时差监测的差异,在距离不同的时间实验室之间进行了时差试验,试验中将外接相同原子钟的两个测站的时差用于评定时差监测的精度,而相距2000 km的测站用于验证高精度实时时差监测的精度。结果表明：①实时网解与事后PPP时差监测的精度相当,达到了0.16 ns;②采用PPP方法,是否固定站坐标时差结果差异的RMS为0.04 ns;③采用实时网解的方法,对于相隔数千千米的测站实时时差监测,其与PPP后处理结果的差异约为0.14 ns。     

Geochemical characteristics of mud volcano fluids in the southern margin of the Junggar basin,NW China: implications for fluid origin and mud volcano formation mechanisms

Mud volcanoes can provide important information about the underlying strata, hydrocarbon accumulation, and recent neotectonic movements in an area. The fluids erupting from mud volcanoes provide important information about their formation and evolution. The ion concentration and the hydrogen and oxygen isotopes of the fluids that were erupted from the three mud volcano groups, Baiyanggou, Aiqigou, and Dushanzi, and nearby rivers in the southern margin of the Junggar basin, northwestern China, are studied. The concentrations of Na and Cl in mud volcano fluids are clearly elevated, displayed as the Na-Cl type. The δD and δ18O values of the fluids are similar between the Baiyanggou and Dushanzi mud volcanoes, which are mainly from ancient sedimentary pore water. However, the Aiqigou mud volcano is depleted in dissolved Cl and shows lower δ18O values with mixed sources, including deep pore and local meteoric water. Two types of mud volcanoes are proposed in this study. One type is low-energy mud volcanoes with a low volume of fluid of deep origin on the hillcrest, which display as mud pool/pie/hole. The other type is high-energy mud volcanoes having mixed fluid origin in the valley and formed in the shape of a mud cone (dome).     

Rare Earth Elements Composition and Constraint on the Genesis of the Polymetallic Crusts and Nodules in the South China Sea

The rare earth elements(REE) composition of the polymetallic crusts and nodules obtained from the South China Sea(SCS) were analyzed through inductively coupled plasma mass spectrometry.Results revealed great differences in the REE abundances(∑REE) of the SCS polymetallic crusts and nodules; the crusts show the highest ∑REE, whereas the nodules exhibit the lowest ∑REE. The similarity in their NASC-normalized patterns, the enriched light REE(LREE), the markedly positive Ce anomaly(δCe), and the non-or weakly positive Eu anomaly(δEu), suggest that the polymetallic crusts and nodules are of hydrogenetic origin. Moreover, the REE contents and their relevant parameters are quite different among the various layers of the crusts and nodules, which probably results from the different marginal sea environments and mineral assemblages of the samples. The growth profiles of the SCS polymetallic crusts and nodules reveal the tendency ∑REE and δCe to slightly increase from the outer to the inner layers, suggesting that the growth environments of these samples changed smoothly from an oxidizing to a relatively reducing environment; in addition, the crust ST1 may have experienced a regressive event(sea-level change) during its growth, although the REE composition of the seawater remained relatively stable. On the basis of the regional ∑REE distribution in the SCS crusts and nodules,the samples collected near the northern margin were influenced by terrigenous material more strongly compared with the other samples, and the REE contents are relatively low. Therefore, the special geotectonic environment is a significant factor influencing the abundance of elements, including REE and other trace elements. Compared with the oceanic seamount crusts and deep-sea nodules from other oceans,the SCS polymetallic crusts and nodules exhibit special REE compositions and shale-normalized patterns, implying that the samples are of marginal sea-type Fe-Mn sedimentary deposits, which are strongly affected by the epicontinental environment, and that they grew in a more oxidative seawater environment. This analysis indicates that the oxidized seawater environment and the special nano property of their Fe-Mn minerals enrich the REE adsorption.     

接入实时降雨数据的暴雨型洪涝灾害临灾预警方法

针对现有暴雨型洪涝灾害预警方法时效性差的问题,提出了一种接入实时降雨数据的暴雨型洪涝灾害临灾预警方法。根据时序分析模型由历史降雨数据和实时降雨数据分析识别异常降雨,并将异常降雨、地形起伏、高程和河网因素作为影响因子,构建暴雨型洪涝灾害风险指数,以"日"为时间尺度进行短时暴雨型洪涝灾害风险分析。从异常降雨致灾角度出发,根据降雨的异常程度将暴雨型洪涝灾害风险等级划分为无风险、低风险、中风险、中高风险和高风险5个等级,进而实现临灾预警,为防灾减灾提供一定的参考信息。以广东省清远市2014年5月的洪涝灾害为例,接入5月21日至5月26日期间逐日降雨量数据,实现了临灾风险分析。实验结果表明,六日内清远市阳山县中下区域发生暴雨洪涝灾害的风险较大,与实际灾情相吻合,达到了较好的预警效果。     

山东枣庄杨家堡子铁矿床地质特征及成因探讨

杨家堡子铁矿位于山东省枣庄市峄城区峨山镇,隶属苍峄铁成矿带,矿体赋存于新太古代泰山岩群山草峪组上部的变质岩中。该矿床内圈定磁铁矿体11个,求得铁矿石(333)资源量3 378.2万t,矿床平均品位TFe 33.30%,mFe 22.64%。主矿体为Ⅲ-6矿体,占矿床总资源量的83.69%,其长度1 137 m,最大斜深1 065 m,埋深707~1 369m,形态复杂程度中等,品位变化属均匀类型。含矿岩石为磁铁石英角闪岩。矿石中的主要有用组分为Fe,伴生元素含量较低,均无综合回收利用价值,有害组分S、P的含量均较低,经选矿后可达到炼钢及炼铁要求。矿石结构主要有粒状变晶结构和柱状变晶结构;矿石的构造主要为条带状构造,块状构造的矿石较少,但品位相对较高。矿石自然类型为原生磁铁矿石,工业类型属需选磁性铁矿石。该矿床成因与苍峄铁矿一脉相承,为典型的BIF型铁矿。根据区内以及邻区的见矿情况结合磁异常特征分析,杨家堡子矿区有良好的找矿前景。     

基于社交媒体数据的城市人群分类与活动特征分析

空间信息技术已开始进入全空间信息系统发展阶段,即将空间信息系统的范畴从传统测绘空间扩展到宇宙空间、室内空间、微观空间等可量测空间。位置大数据不仅是全空间信息系统的重要研究对象之一,而且也成为了广域全空间中了解人们生活方式以及城市动态变化的一种有效途径。本文基于社交媒体数据中的位置签到数据,提出一种不同于传统以社会经济属性为依据的城市人群分类方法。首先利用签到数据的时间序列构造矩阵模型;然后,通过分析用户签到活动的时间特征,采用K-means聚类算法和K近邻算法（K-NN）识别出具有不同时空行为特征的城市人群（静态居民、动态居民、通勤者以及访问者）;最后,本文根据得到的人群分类结果,通过分析不同类型人群的时空间行为特征,发现不同类型人群时空间行为的差异性与潜在规律性,从而为表征城市人群的组成结构及特征,研究城市时空结构提供一种新的视角。     

参考框架选取对连续GPS网测站坐标时间序列分析结果的影响

针对中国大陆构造环境监测网络（CMONOC）坐标时间序列分析,研究选取3种不同空间尺度的参考框架以及考虑不同相似转换参数对测站速度场、年周期项及残差时间序列的影响。结果表明,对于中国大陆这样大范围、长时间连续观测的GPS网,采用全球框架坐标时间序列分析结果更加稳定,对转换参数选择不太敏感;但采用区域框架,特别是接近研究区域的小区域框架能够反映出更显著的区域形变特征,对于进一步研究其动力学机制是有利的。     

Landsat时序变化检测综述

时序变化检测已成为当前Landsat数据主流的变化检测方法。本文从检测算法对比、时序数据构建和精度评价等方面对Landsat时序变化检测进行回顾和评述,进而提出Landsat时序变化检测当前所存在的问题,及其所面临的挑战。Landsat时序变化检测算法可大致归纳为轨迹拟合法、光谱-时间轨迹法、基于模型的方法3大类,这些算法大多基于森林扰动提出;变化检测常用指标有波段型、植被指数型、线性变换型、组合型4大类,每类指标的优势不同,可综合多类指标以更全面地检测不同扰动类型。尽管Landsat时序变化检测已取得长足发展,但仍然面临诸多挑战,其中最大挑战是缺少一致性的参考数据集进行变化检测精度评价。     

基于GPS高程时间序列粗差的抗差探测与插补研究

研究抗差估计和稳健估计粗差探测IQR准则的粗差剔除算法以及缺值点插值的正交多项式最小二乘拟合方法。以中国3个CORS基准站从1999-03-01—2009-12-31日的单天解GPS高程时间序列为对象进行粗差探测与插补的试验。结果表明：抗差估计比IQR准则能更有效地探测和剔除粗差;三次样条插值当连续缺失历元超过5~10个时插值结果易发生扭曲;低次正交多项式拟合的结果稳定,一般选择2~3次拟合即可获得理想的效果,当连续缺失历元达3个月时,正交多项式拟合后的曲线与序列趋势仍基本一致。