江西城门山铜矿含矿斑岩体风化作用地球化学特征

文章利用城门山铜矿露天采坑系统地研究了含矿斑岩体风化作用过程中常量元素和微量元素的地球化学行为.结果表明,含矿斑岩体具有2个明显的风化旋回,风化作用过程主要表现为铝硅酸盐矿物的水解、水化作用,斑岩体中Ca、Mg、Na、K等元素大量淋失,Ca、Mg、Na淋失量可达80%以上,而Si、Al、Ti、Fe残留在风化层中.城门山铜矿含矿斑岩体具低Ti、Nb、Ta、Zr、Hf和低稀土元素含量(ΣREE=77.69×10-6～104×10-6),具有较稳定的Nb/Ta和Zr/Hf比值,稀土元素配分模式为较缓的右倾模式,无明显的铕异常(δEu＞0.73),ΣCe/ΣY比值为3～8.这些特征可作为评价城门山铜矿含矿中酸性岩体主要的地球化学指标之一.     

13X分子筛活化及其对氧气转移时吸附/解吸过程中氧同位素分馏效应的研究

在激光BrF5法分析硅酸盐和氧化物矿物的真空提取流程中,通常采用氧气作为工作气体来测定样品的氧同位素组成。这需要使用分子筛吸附并转移氧气到质谱进样系统,而分子筛的活化对于有效吸附和解吸氧气至关重要,否则会引起分析过程中的氧同位素分馏。通过采用13X分子筛进行多组实验分析,笔者发现用不同活化程度或中毒失活分子筛沸石转移时可能存在氧同位素分馏。在低温下分子筛是不能够活化的(或活化不完全),吸附能力很低,所测定的δ18O值是波动的。在200℃马弗炉中预加热24h,然后迅速转移到温度为100℃、真空度为10-3Pa系统中加热12h的分子筛,对氧气吸附能力很强,氧同位素分析的绝对误差为±0.05‰(1σ),能够满足地球化学氧同位素分析的要求。如果分子筛受BrF5污染,其吸附能力大为降低,测定的δ18O值呈下降趋势,氧同位素分馏高达0.7‰。如果分子筛受水汽污染,质谱接受电压不断地降低,存在解吸温度下的再吸附过程,测定δ18O值呈上升趋势。因此,分子筛在使用前要在适当条件下的活化,在发现污染或测量值发生波动变化时要及时更换,否则难以保证氧同位素分析数据的可靠性。     

基于ARM7的嵌入式三维电阻率采集子站的设计研究

提出了一种基于ARM7的嵌入式三维电阻率采集子站设计方法,采用24位A/D转换器（ADS1258）和ARM7微处理器（LPC2378）,使三维电阻率法数据采集系统具有体积小、功耗低、成本低、精度高等特点,同时实现μC/OSⅡ操作系统在ARM的移植,为数据采集的实时性提供可能。     

内蒙古自治区翁牛特旗姚家店铅锌矿地质特征

内蒙古自治区翁牛特旗姚家店铅锌矿矿床为一受NW向断裂带构造控制的中低温岩浆热液充填交代型铅锌矿床,形成于燕山晚期,矿体呈脉状产于二叠世额里图组安山质凝灰岩之构造破碎带内,形态产状严格受断裂构造控制。矿石为硅化、黄铁矿化碎裂岩型铅锌矿石。     

江西九江城门山铜多金属矿床土壤轻烃找矿试验

在开展城门山矿区新一轮的深部外围找矿过程中,传统的化探方法存在一定的局限性。本次工作在城门山矿区内蚀变矿化石英斑岩、矿区外围石英砂岩上方发育的土壤垂直剖面和1线、9线、J0线土壤测线中开展了系统的轻烃测量,尝试利用土壤轻烃异常示踪下伏的矿化信息。研究结果表明,除甲烷(C1)外,土壤轻烃(C2、C3、C4、C5)都能很好地示踪下伏的矿化信息,在花岗闪长斑岩(矿体)上方显示低值区,与土壤Hg气、磁化率高值形成镶嵌结构。通过对硫化物矿体上覆土壤的有机烃组分相关特征和变化规律的分析,可提出预测下伏矿体的评价指标,也有助于了解有机质在成矿作用过程中的赋存状态和演化规律。     

CMIP5全球气候模式对中国地区干旱变化模拟能力评估

利用东亚地区1961～2005年高分辨率（0．5°×0．5°）降水格点数据和参加CMIP5的42个全球气候模式数值模拟结果,通过对简单降水强度指数（降水距平百分率）的计算,对比分析了观测和多模式集合的中国地区干旱面积、干旱频率的时空分布以及干旱分布型的变化,评估了全球气候模式的模拟能力。结果表明：多个全球气候模式的集合结果对中国区域的干旱变化特征有一定的模拟能力,能较好地模拟出中国年平均干旱指数的时间变化趋势,但模拟的干旱强度偏弱;多模式集合模拟的严重干旱面积与观测值的变化趋势基本一致,与观测相比,模拟的长江以南干旱强度偏强,西北干旱强度偏弱;通过EOF的分析表明,多模式集合可以较好地模拟出西北与长江以南呈反位相及我国东部地区的“旱-涝-旱”或“涝-旱-涝”的分布型。     

POSSIBLE INFLUENCE OF FEBRUARY-APRIL ARCTIC OSCILLATION ON THE ITCZ ACTIVITY OF WESTERN-CENTRAL PACIFIC

The daily patterns and activity of Intertropical Convergence Zone(ITCZ) in the Western-Central Pacific Ocean are analyzed using NOAA interpolated Outgoing Longwave Radiation dataset during the period from 1979 to 2008, and the relationships between ITCZ patterns and Arctic Oscillation(AO) is investigated in this paper. In accordance with the central activity region the daily ITCZ can be divided into six patterns—north, south, equator, double, full and weak pattern, respectively. The statistic result shows that the north(accounting for 30.98% of the total observations), south(31.11%) and weak(24.05%) ITCZ patterns are the most active daily patterns within a 30-year period, while the other three ITCZ patterns occur infrequently. Results show that the February-April AO index has a significant positive(negative) correlation with the frequency of the north(weak) ITCZ pattern from March-May to August-October, with the strongest correlation in April-June(March-May). At the same time, the lower tropospheric atmosphere circulation(850-hPa wind field) and SST anomalies corresponding to the AO change significantly in the tropical Pacific. When AO is in the positive phase, there is an anomalous westerly from the equator to 15°N and warmer SST in the critical north ITCZ active region, while there is an anomalous easterly and insignificant change of SST from the equator to 15°S. The wind and SST anomalies share the same characteristics of the equatorial asymmetry and thus enlarge the gradient between the south and north of equator, which would help reinforce convection in the north of equator and result in more frequent occurrence of the northern type of ITCZ.     

基于改进的Hough变换ASAR图像船只尾迹自动识别算法

文章提出了一种基于改进的Hough变换先进合成孔径雷达(ASAR)图像船只尾迹自动识别算法。算法首先检测出船只并将船只部分用图像灰度均值代替,然后设定阈值修正Hough变换域中的峰值检测,再通过改进的Hough变换自动实现了船只尾迹的检测和识别,最后利用约束条件来确定尾迹的起点和终点。实验结果表明,文中算法能够自动检测到船只尾迹,并且能识别出尾迹的类型,反演出尾迹的起始点,对海洋监测和管理具有重要的意义。     

The seasonal foot printing mechanism of spring Arctic sea ice in the Bergen climate models

The influence of spring Arctic sea ice variability on the Pacific Decadal Oscillation(PDO) like sea surface temperature(SST) variability is established and investigated using an Atmosphere Ocean General Circulation Model(AOGCM) of the Bergen Climate Model version 2(BCM2). The spring Arctic sea ice variability affects the mid-latitudes and tropics through the propagation of the anomalous Eliassen-Palm(E-P) flux from the polar region to mid- and low-latitudes during boreal spring. The pathway includes anomalous upward wave activity, which propagates to the high troposphere from near the surface of the polar region, turns southward between 500 h Pa and 200 h Pa and extends downward between 50°N and 70°N, influencing the near surface atmospheric circulation. The alteration of the near surface atmospheric circulation then causes anomalous surface ocean circulation. These circulation changes consequently leads to the SST anomalies in the North Pacific which may persist until the following summer, named seasonal "foot printing" mechanism(SFPM).