华南暖区暴雨研究进展

华南前汛期暴雨预报一直是我国大气科学界的一个研究热点,特别是发生在锋前的暖区暴雨,由于其天气尺度斜压性强迫不明显,环境大气水汽含量丰富,热动力不稳定性强,边界层触发机制复杂,以及特殊的地形和海陆热力差异的外强迫作用,导致暴雨突发性强,地域性特征显著,也是困扰预报业务人员的难点问题。目前我国预报业务中使用的全球数值预报模式对暖区暴雨的预报能力十分有限,高分辨率中尺度数值模式的预报效果也不尽人意。该文回顾了近40年华南前汛期暴雨大部分研究成果,针对华南暖区暴雨的提出及典型背景场、暖区暴雨与低空急流的关系、暖区中尺度对流系统的形成及传播、暖区暴雨触发机制等独特的天气动力学特征进行了系统梳理与分析,并依据前人研究成果及中央气象台预报实践经验,总结提炼了3类华南暖区暴雨类型——边界层辐合线型、偏南风风速辐合型,以及强西南急流型的天气系统配置及触发因子。最后提出针对华南暖区暴雨需要进一步研究的科学问题。     

天山南麓雷暴日短期预报研究

利用阿克苏及邻近地区12个气象站1980—2013年雷暴资料,以及同期高空资料,统计了各站年均雷暴日数,对发生区域雷暴天气的环流形势进行分类,归纳出各型的入型指标。通过逐步回归法,建立阿克苏及邻近地区区域雷暴概率回归预报模型,并对2013年进行试预报。结果表明:(1)阿克苏及邻近地区区域雷暴的影响系统主要分为4类:巴湖低槽型、急流型、西北气流型和温度槽型。(2)对2002—2012年5—9月(共1683 d)历史资料进行判别,满足入型条件的样本数为876 d,消空率为48%;对2013年5—9月(共153 d)历史资料进行判别,入型样本数为80 d,消空率为48%。(3)对2002—2012年5—9月所有入型样本进行回代检验,平均准确率为72.0%(平均TS评分为30.1%);对2013年5—9月所有入型样本进行试预报,平均准确率为63.2%(平均TS评分为28.2%)。     

风云卫星数据服务评价指标的验证分析

简述了目前我国风云卫星数据服务以及气象服务效益评估业务的现状,利用层次分析法提出风云卫星数据服务评价的6个1级指标和19个2级指标。设计了风云卫星数据服务评测量表,并采用分半信度、因子分析等方法对量表作信度和效度分析,结果表明所设计的评测量表具有良好的信度和效度,确定了包括服务平台易用性、服务流程规范性、服务响应及时性、服务内容完整性、服务工作主动性、服务宣传广泛性等6个方面的风云卫星数据服务评价指标。     

贵州西北部基性侵入岩锆石U-Pb年代学、岩石地球化学特征 及其与铅锌成矿关系初探

贵州西北部发育多处基性侵入岩,总体规模较小(约0.25 Km2),多沿深大断裂侵位,出露于铅锌矿点外围,本文对猫猫厂、凉山两处矿点附近的儿马冲和白岩庆两地小型基性侵入岩进行了重点研究。侵入岩主要岩性为细粒辉长岩,造岩矿物主要为拉长石、普通辉石。SiO2范围为49.60-51.09 wt%,MgO从3.88-4.27 wt %,TiO2为3.69-3.85 wt %。LA-ICP-MS锆石U-Pb定年结果为268.3±7.4 Ma,显示岩浆侵位于二叠纪。基性侵入岩的微量元素蛛网图呈OIB型特征,富集大离子亲石元素（LILE）、轻稀土元素（LREE）,亏损重稀土元素（HFEE）,相对亏损高场强元素（Nb,Ta）,有Sr、Y亏损,Pb富集。(87Sr/86Sr)i范围0.706749～0.707069,(143Nd/144Nd)i范围0.512313～0.512363,εNd(t)范围0.2～1.2;源区熔融深度处于石榴石橄榄岩相深度,可能经历了1-3 %的部分熔融,处于亏损石榴石二辉橄榄岩相向原始石榴石二辉橄榄岩相的过渡区。成岩过程中发生了单斜辉石、斜长石等矿物分离结晶,受到了有限的地壳混染作用,未经历明显的AFC过程。地壳物质在地幔源区中的加入可能是造成地幔富集的主要原因。侵入岩与成矿作用之间的关系,主要通过两方面所表现。一方面是二者间构造活动上的耦合性。另一方面是基性岩在成矿过程中可能发挥了重要的化学屏障层作用。     

The effect of slight to minor biodegradation on C<Subscript>6</Subscript> to C<Subscript>7</Subscript> light hydrocarbons in crude oils: a case study from Dawanqi Oilfield in the Tarim Basin,NW China

Light hydrocarbons (LHs) are one of the main petroleum fractions in crude oils, and carry much information regarding the genetic origin and alteration of crude oils. But secondary alterations—especially biodegradation—have a significant effect on the composition of LHs in crude oils. Because most of the LHs affected in oils underwent only slight biodegradation (rank 1 on the biodegradation scale), the variation of LHs can be used to describe more the refined features of biodegradation. Here, 23 crude oils from the Dawanqi Oilfield in the Tarim Basin, NW China, eleven of which have been biodegraded to different extents, were analyzed in order to investigate the effect of slight to minor biodegradation on C₆–C₇ LHs. The study results showed that biodegradation resulted in the prior depletion of straight-chained alkanes, followed by branched alkanes. In slight and minor biodegraded oils, such biodegradation scale could not sufficiently affect C₆–C₇ cycloalkanes. For branched C₆–C₇ alkanes, generally, monomethylalkanes are biodegraded earlier than dimethylalkanes and trimethylalkanes, which indicates that branched alkanes are more resistant to biodegradation, with the increase of substituted methyl groups on parent rings. The degree of alkylation is one of the primary controlling factors on the biodegradation of C₆–C₇ LHs. There is a particular case: although 2,2,3-trimethylbutane has a relative higher alkylation degree, 2,2-dimethylpentane is more resistant to biodegradation than 2,2,3-trimethylbutane. 2,2-Dimethylpentane is the most resistant to biodegradation in branched C₆–C₇ alkanes. Furthermore, the 2-methylpentane/3-methylpentane and 2-methylhexane/3-methylhexane ratios decreased steadily with increasing biodegradation, which implies that isomers of bilateral methyl groups are more prone to bacterial attack relative to mid-chain isomers. The position of the alkyls on the carbon skeleton is also one of the critical factors controlling the rate of biodegradation. With increasing biodegradation, Mango’s LH parameters K1 values decrease and K2 values increase, the values of n-heptane and isoheptane decrease, and the indices of methylcyclohexane and cyclohexane increase. LH parameters should be applied cautiously for the biodegraded oils. Because biodegraded samples belong to slight or minor biodegraded oils, the values of n-heptane and isoheptane from Dawanqi Oilfield can better reflect and determine the “Biodegraded” zone. When the heptane value is 0–21 and the isoheptane value is 0–2.6, the crude oil in Dawanqi Oilfield is defined as the “Biodegraded” zone.     

Characteristic and Geological Significance of Microbially Induced Sedimentary Structures(MISS) in Terrestrial P-T Boundary in Xingyang,Western He’nan Province

Microbially Induced Sedimentary Structures (MISS) are primary sedimentary structures that arise syndepositionally from microbial community activity. Especially valuable are MISS for the analysis of early Archean (and extraterrestrial) deposits. However, most reports of MISS have focused on the Precambrian and Phanerozoic mass extinction marine sediments, and only a few and terrestrial MISS have been studied. The MISS presented in this paper, which mainly consists of mat growth feature, mat destruction feature and mat decay feature, are well preserved in terrestrial clastic rocks around the P-T boundary in Xiyang area, western Henan. Large U ridges, oriented sand quartz, mica grains and thin clayey laminae arranged parallel to bedding plane are the main features visible under the microscope. Several lines of evidence indicate that the Xingyang MISS are of biogenic origin. Abundant MISS in Xingyang may indicate the degradation of terrestrial ecosystems and proliferation of microbial mats immediately after the severe Permian-Triassic mass extinction. Study aiming at MISS helps to analyze their space distribution in the globe and to probe into links between microbial proliferation and environmental stresses following the end-Permian mass extinction in terrestrial ecosystems.     

滇中地区昆阳群物源及构造环境

昆阳群的形成时代、沉积环境、源岩性质等一直存在较大争议,为了查明滇中地区昆阳群的物源及其形成的构造环境,文章在分析昆阳群沉积组合和沉积相的基础上,对昆阳群3件变质砂岩样品中的碎屑锆石进行LA-ICPMS锆石U-Pb年龄测定,对昆阳群20件极低级变质碎屑岩进行地球化学分析。从昆阳群黄草岭组、黑山头组和美党组中分别获得了最年轻的谐和年龄为984.0 Ma、945.0 Ma和954.0 Ma;碎屑锆石年龄峰谱显示,在1.0 Ga、1.35Ga、1.73 Ga和2.44 Ga出现了统计峰值,其年龄主要集中在1.73 Ga和1.35 Ga。表明昆阳群源区主要经历了1.0 Ga、1.35 Ga、1.73 Ga和2.44 Ga的构造热事件,资料显示扬子地块西南缘出露的大红山群形成时代为1.7 Ga,格林威尔期的构造热事件时期为1.0~1.3 Ga。此外,地球化学分析结果表明昆阳群源岩主要是形成于大陆岛弧—活动大陆边缘的石英质旋回沉积、长英质岩石和少量镁铁质岩石。在中元古代晚期—新元古代早期(0.95~1.0 Ga),Rodinia超大陆形成阶段,在扬子地块西南缘的弧后前陆盆地中形成昆阳群的沉积组合,物源主要来自扬子地块西南缘的大红山群和格林威尔期岛弧的岩石。     

贵州铜仁松桃锰矿国家整装勘查区地质找矿主要进展及潜力预测

贵州铜仁松桃锰矿国家整装勘查区位于扬子地块东南缘的武陵山成矿带。著名的南华纪大塘坡早期(660-667 Ma)"大塘坡式"锰矿,形成于Rodinia超大陆裂解背景下的南华裂谷盆地。近年来,项目团队在该国家整装勘查区及黔渝湘毗邻区,通过长期的产学研协同攻关,厘清了锰矿大规模成矿作用的独特地质背景和构造古地理格架,发现了新的锰矿床类型——古天然气渗漏沉积型锰矿床,建立锰矿裂谷盆地古天然气渗漏成矿理论和深部隐伏矿找矿预测模型,圈定了若干找矿靶区。通过该整装勘查区的实践检验,累计投入各类勘查资金6亿多元,先后新发现了松桃西溪堡(普觉)、松桃道坨、松桃高地和松桃桃子坪四个隐伏超大型锰矿床。该整装勘查区新发现的超大型锰矿床数,占全球已发现超大型锰矿床总数约三分之一。新发现的锰矿资源量,超过了2011年全国锰矿保有资源量的总和,实现了我国有史以来锰矿找矿的最大突破,且锰矿找矿潜力依然巨大。使黔东成为中国锰矿资源最丰富的地区和新的世界级锰矿资源富集区。古天然气渗漏沉积型锰矿床成为中国最重要的锰矿床类型,是继传统的海相沉积型、沉积变质型锰矿床类型之后,全球最重要的三大锰矿床类型之一。     

新型抗高温二次交联凝胶堵漏材料的研制

针对普通凝胶抗温能力较差难以适用于高温地层堵漏作业的问题,通过设计合成抗高温凝胶主剂GN-1并运用二次交联技术,研发了新型抗高温凝胶堵漏材料。优选配方为：淡水+1.5%GN-1+0.15%地面交联剂+1%井下交联剂+0.2%抗氧化剂。通过热滚老化与高温流变测试相结合的手段对凝胶抗温能力进行评价。结果表明,该凝胶材料具有良好的热稳定性,在180 ℃下老化24 h后,7.34 s-1下剪切粘度＞10000 mPa?s。大幅加重后180 ℃老化24 h仍能保持较好的粘弹性。此外还考察了不同温度和pH值下的成胶性能以及与聚磺钻井液体系的配伍性,为抗高温凝胶堵漏材料在现场的应用奠定基础。     

Regional debris flow susceptibility analysis based on principal component analysis and self-organizing map: a case study in Southwest China

A method was developed to analyze the susceptibilities of 541 regional basins affected by debris flows at the Wudongde Dam site in southwest China. Determining susceptibility requires information on source material quantity and occurrence frequency. However, the large number of debris flows can hinder the individual field investigation in a each small basin. Factors that may trigger debris flows can be identified using remotely sensed interpretation information. Susceptibility analysis can then be conducted based on these factors. In this study, SPOT5 satellite imagery, digital elevation models (DEM), a lithology distribution map, and rainfall monitoring data were used to identify 12 debris flow trigger factors: basin relief ratio, slope gradient in the initiation zone, drainage density, downslope curvature of the main channel, vegetation coverage, main channel aspect, topographic wetness index, Melton’s ruggedness number, lithology, annual rainfall, form factor, and cross-slope curvature of the transportation zone. Principal component analysis was used to obtain the eight principal components of these factors that contribute to susceptibility results. Then, a self-organizing map method was adopted to analyze the principal components, which resulted in a debris flow susceptibility classification. Field validation of 26 debris flow basins was used to evaluate the errors of the susceptibility classification, as well as assess the causes of such errors. The study found that principle component analysis and self-organizing map methodologies are good predictors of basin susceptibility to debris flows.