广西大厂矿田铜坑深部隐伏矿体立体定量预测建模与可视化研究

广西大厂矿田长坡-铜坑矿区矿床形成与分布的主要控制因素有地层岩性、岩浆岩体和断层、褶皱构造.结合大厂矿田多年来积累的地质资料信息,提取了钻孔、坑道采样化验数据与地质体的几何取点等矿床隐伏矿体预测专题数据,建立了各种地质体几何模型;以此为基础进行控矿地质条件的定量分析,以立体单元形式对地质空间进行分割抽样,提取了立体单元控矿作用定量化指标;通过一种有效的矿床三雏数学模型建立方法,对矿床地下三维空间中隐伏矿体进行了定位、定量预测和结果验证,并开发了预测结果的三维可视化动态查询系统.     

GEOCHEMICAL CHARACTERISTICS OF PLATINUM GROUP ELEMENTS IN JINCHUAN SUPER-LARGE SULFIDE COPPER-NICKEL DEPOSIT, JINCHANG CITY, GANSU PROVINCE, CHINA

The platinum-group element geochemistry of rocks and ores from Jinchuan super-large copper-nickel sulfide deposit is systemically studied in this paper. The Cu/Pd mean ratio of Jinchuan intrusion is lower than that of original mantle magma, which indicates that these ultrabasic rocks were crystallized from magma that lost Pd in the form of melting segregation of sulfides. The PGE of the rocks show trend of partial melting, similar to that of mantle peridotite, which shows that magma formation occurs during rock-forming and ore-forming processes. The chondrite normalized PGE patterns of the rocks and ores are well related to each other, which signifies the signatures of multi-episode magmatic intrusion, melting and differentiation in the formation processes of rocks and ores. In addition, analyses about the relation between PGE and S, and study on Re-Os isotopes indicate that few contamination of the crustal substances occurred during the magmatic intrusion and the formation of deposit. However, contamination by crustal substances helps to supply part of the S for the enrichment of PGE. Meanwhile, the hydrothermal process is also advantageous for the enrichment of PGE, especially lbr Pt and Pd, due to deep melting segregation. The characteristic parameters （such as Pt/（Pt＋Pd）, （Pt＋Pd）/（Ru＋Ir＋Os）, Pd/Ir, Cu/（Ni＋Cu）, and so on.） for platinum-group elements for Jinchuan sulfide copper-nickel deposit show the same features as those for sulfide copper-nickel deposit related to basic magma, which also illustrates its original magma property representative of Mg-high tholeiite. Therefore, it is the marie （not ultramafic） magma that resulted in the formation of the superlarge sulfide copper-nickel deposit enriched in Cu and PGE. To sum up, the geochemical characteristics of platinum-group elements in rocks and ores from Jinchuan copper-nickel sulfide deposit are constrained by the continental rift tectonic environment, the parent magma features, the enriched mantel magma source, the complex metallogenesis and PGE geochemical signatures, and this would be rather significant for the study about the genetic mechanism of copper-nickel sulfide deposits.     

GPS探测与FY-2反演大气可降水量对比分析

为深入了解FY-2卫星大气可降水量(PW)的反演质量,文章选取2012和2015年地基GPS水汽观测数据,与FY-2的PW反演产品进行了对比分析。结果表明:(1)北京、武汉和海口三站GPS/PW(PW_(GPS))与FY-2/PW(PW_(FY-2))在夏季存在显著正相关,三站的相关系数都达到0.67以上,夏季PW的均方根误差值、月平均偏差绝对值均小于冬季。北京与武汉站PW平均偏差和均方根误差在四季均具有明显日变化特征;(2)当PW_(GPS)20 mm时,北京、武汉、海口和拉萨站FY-2/PW与GPS/PW比较一致,PW偏差均值的绝对值和均方根误差较小,当PW_(GPS)20 mm时,PW偏差均值绝对值和均方根误差随PW_(GPS)值减小而迅速变大。FY-2的PW产品在夏季可以为大部分区域提供高时空分辨率、高精度的大气可降水量,在大气湿度非常低、冬季和夜间条件,反演结果精度有待提高。     

中国交通行业实施环境经济政策的协同控制效应研究

目前,交通行业已成为中国局地大气污染物和温室气体的重要排放来源之一,而且随着交通运输规模的不断扩大,与工业和生活排放相比,交通排放贡献占比呈相对增加趋势.文中构建了"CGE-CIMS联合模型",对中国交通行业实施环境经济政策的局地大气污染物和CO2协同控制效应进行量化评估.结果显示,与BAU情景相比,环境税、碳税、成品...     

江南南部初夏汛期降水特征Ⅱ：雨季指数与影响雨季的大气环流关键区

借鉴梅雨指数的定义,选取贵溪、德兴、玉山、衢州、龙泉为5个代表站,建立了江南南部初夏雨季指数。近50a来,江南南部初夏雨季平均开始日和结束日分别是6月10日和7月1日,比江淮梅雨早约8d左右;雨季平均长度为20．5d,雨季内雨日数平均为15．5d;江南南部初夏雨季开始日经历了一个显著的“V型”变化过程,结束日呈“纺锤型”振荡变化;雨季的长度和雨日数没有明显的线性趋势变化,但20世纪80年代期间的雨季长度和雨日数年际变化大,旱涝频率高、强度强;20世纪60年代和21世纪以后雨季偏弱年较多。影响江南南部初夏雨季开始早晚的大气环流关键区主要在乌拉尔山附近,若乌拉尔山附近为阻高型（低槽型）,则雨季开始早（晚）;中高纬系统、太平洋副高和南亚高压也都有影响。影响雨季强度的大气环流关键区分别在东半球的北极区、中低纬度西北太平洋和鄂霍次克海附近上空。     

滁州地区不同类型特大暴雨过程的对比分析

利用常规探测资料、多普勒雷达资料和NCEP 1°×1°的再分析资料对安徽省滁州地区2008年8月1日减弱台风特大暴雨(简称"0808"过程)和2003年7月5日梅雨期特大暴雨(简称"0307"过程)进行了诊断对比分析。结果表明:超低空急流的增强对暴雨尤其是夜间暴雨的形成有提示作用;两次过程中都有次级环流的存在,作用方式有所不同,对高低空系统都有加强作用;其中"0808"过程中减弱台风携带的大量水汽对特大暴雨产生有重要作用,不需要很强的水汽输送就能产生强降水;特大暴雨强的水汽辐合中心都位于边界层内;冷空气的侵入对特大暴雨有重要作用;长时间降水回波的停滞是"0307"过程的主要原因。由强风暴造成的对流降水是"0808"过程在多普勒雷达产品上的主要特征。     

EFFECTS OF SPRING SOIL MOISTURE IN THE INDOCHINA PENINSULA ON SUMMER PRECIPITATION OVER THE SOUTH CHINA SEA AND ITS SURROUNDING AREAS: A SIMULATION STUDY FOR 1999

Using the regional climate model RegCM4.4.5, coupled with the land model CLM4.5, we investigated the effects of springtime soil moisture in the Indochina Peninsula on summer precipitation over the South China Sea and its surrounding areas in 1999. Results have indicated that there exists positive correlation between soil moisture and summer precipitation over the western Pacific Ocean and negative correlation between soil moisture and summer precipitation over the eastern Indian Ocean. Summer precipitation in the South China Sea and its surrounding areas responds to springtime soil moisture in the Indochina Peninsula (the northwest region is critical) because general atmospheric circulation is sensitive to the near-surface thermodynamic state. Increased (decreased) soil moisture would result in decreased (increased) local surface temperatures. Latitudinal, small-scale land–sea thermal differences would then result in northeasterly wind (southwesterly wind) anomalies in the upper layer and southwesterly wind (northeasterly wind) anomalies in the lower layer, which strengthen (weaken) monsoon development. As a result, precipitation would enter the Western Pacific region earlier (later), and water vapor over the eastern Indian Ocean would enter the South China Sea earlier (later), causing a precipitation reduction (increase) in the eastern Indian Ocean and increase (reduction) in the Western Pacific.     

黄海海雾天气气候特征及其成因分析

利用2002-2008年的地面观测资料、青岛小浮标站资料、海洋大气综合资料、NCEP再分析资料和卫星云图等资料,对黄海海雾的天气气候特征、环流型和相关的水文、气象因子进行分析研究.结果表明,黄海海雾呈现逐年递增的年际变化,且集中发生在春夏季,自南向北雾季逐渐推迟,发生频数增多；一日中主要出现在夜间至早晨.黄海海雾可归纳为冷锋型、高压后部型和均压场型三种天气类型.海雾是流入黄海的黑潮暖流分支与沿岸的冷水流相遇,在适宜的海温、气海温差、大气稳定度和风场等水文、气象条件下形成的,这些条件可为海雾发生、发展的预报提供一些参考依据.     

南京市紫外线辐射强度的变化及影响因子

利用南京市2005-02—2009-01共4 a的紫外线辐射观测资料,分析了到达地面的紫外线辐射强度的变化特征,并探讨了云、污染物浓度和雾、霾天气等对紫外线辐射强度的影响。结果表明,低云量对紫外线强度的衰减更明显,最大达58.15%,蔽光性云层对紫外线辐射强度的衰减可达71%～80%;紫外线辐射强度与污染物浓度呈负相关,其中与NO2的相关性最好,为-0.39;晴空条件下,严重霾对紫外线辐射强度的衰减率可达20%以上,浓雾对紫外线辐射强度的衰减接近50%。     

基于深度卷积神经网络的阵风锋识别算法

阵风锋作为强对流的冷性出流特征,是重要的边界层辐合系统,对其自动监测识别一直是日常气象业务中的难点,该文基于深度卷积神经网络设计了阵风锋的自动识别算法。通过对输入和输出端的重新设计,在Faster RCNN算法和Inception V2网络模型的基础上实现了通过雷达回波数据对阵风锋窄带回波实现端到端自动识别。利用雷达数据绕雷达中心旋转不变性特点,增加了数据样本,降低了需提取特征的复杂度。利用2007—2011年南京雷达数据,对该模型进行了20万步的训练,总损失函数值收敛到0.003。对识别效果的分析表明,在训练样本中识别率100%,漏识率0%,准确率87%。通过对合肥雷达2009年6月5日阵风锋天气过程的32个体扫进行模型泛化能力评估,得到识别率91.7%,漏识率8.3%,正确率73.3%。