2012/2013年冬季中国气温异常成因分析

2012/2013年冬季,我国平均气温为-3.8℃,较常年同期(-3.4℃)偏低0.4℃,就空间分布来看,我国东北、华北、黄淮、江淮和新疆北部气温较常年同期偏低。利用1951-2013年国家气候中心整理的全国160站月平均气温资料、英国Hadley中心全球海温资料、NCEP/NCAR再分析大气环流资料、德国不莱梅大学提供的海冰卫星遥感资料,通过EOF分析、回归分析、合成分析、相关分析方法研究了引起2012/2013年冬季我国气温异常的东亚中高纬大气环流异常,并从海洋环境要素异常的角度分析造成这种环流异常的原因。分析结果表明:2012/2013年冬季我国气温异常分布主要是由于北极涛动(AO,Arctic Oscillation)呈负位相,西伯利亚地区高度场异常偏高,东亚大槽明显偏深的环流形式引起的。而太平洋年代际振荡(PDO,Pacific Decadal Oscillation)负位相是引起西伯利亚高压强度偏强和东亚冬季风强度偏强的年代际海洋背景,前期9月海冰范围异常偏小是导致2012/2013年冬季AO呈现负位相及我国东北和新疆北部呈现异常低温的主要原因。     

南海海岛自动气象站防护应用技术探索

立足海南及南海的自然条件,结合海岛自动气象站在南海高温、高湿、高盐雾、强辐射、强风等恶劣气候环境下使用情况,通过对历年来海岛自动气象站故障及失效模式的统计和分析,总结分析故障原因。根据设备维护人员多年气象设备保障工作积累总结的经验,从海岛自动气象站结构和防护要求出发,集成应用市场上优质材料、先进工艺和多种成熟、关键设备防护技术,形成一些气象设备防护的有效方法措施,以提高海岛自动气象站对海洋环境的适应性和性能,延长设备使用寿命。     

辽东湾坳陷东部地区走滑双重构造的发育特征 及其石油地质意义

在将构造发育特征与走滑双重构造理论模型进行类比分析的基础上,对辽东湾坳陷东部地区的走滑双重构造的发育特征进行了研究,并结合油气勘探实践成果,就其石油地质意义进行了探讨,研究结果表明:在受控于走滑与拉伸并存的多动力源区域地质背景下,辽东湾坳陷新生代构造演化体现了断陷与拗陷、拉张与走滑的叠加效应,NNE走向的辽中1号断裂、辽中2号断裂及辽东断裂的发育不仅控制了辽东湾坳陷东部地区的凸凹格局,其走滑侧接关系也导致了研究区走滑双重构造的发育;辽东凸起是由于辽中2号断裂、辽东断裂走滑弯曲、右行左阶侧接而形成的挤压走滑双重构造,而辽中凹陷在早期拉张断陷基础上,经历了后期走滑作用的改造,其断裂体系的发育体现了辽中1号断裂与辽中2号断裂的右旋右行侧列所产生的拉张走滑双重构造效应;在走滑双重构造的增压带,断裂侧向封堵性强,有利于形成有效的断层圈闭,是油气藏发育的有利区带。     

下扬子PTB界线深水相区粘土岩的火山成因研究及其对LPME的指示意义

全球,尤其是特提斯域二叠—三叠纪之交(PTB)剖面中普遍发育火山成因的粘土岩,对理解晚二叠世末生物大灭绝(LPME)的触发机制及相关基础地质问题具有重要意义。本文报道了在华南下扬子区新发现两条深水PTB剖面(皖南牛山和蔡村)的粘土岩工作,包括岩石学、矿物学和全岩地球化学等,填补了区域研究空白。研究结果发现,粘土岩主要由伊利石等粘土矿物,以及石英、岩浆锆石、长石等斑晶矿物组成。在地球化学上具有高K_2O、低Na_2O、相对富集大离子亲石元素(LILE)、相对亏损高场强元素(HFSE)等特征。据此,认为这些粘土岩为火山成因的钾质斑脱岩,其原岩可能为中酸性流纹英安岩,具有弧岩浆作用的源区背景。对比华南其他地区已发现的PTB界线粘土岩,发现它们成因类似,可能来源于古特提斯洋周缘陆陆碰撞,抑或是泛大洋俯冲潘吉亚大陆东缘(包括华南板块)所导致的长英质火山岩浆喷发,且具有多期多源性特点。PTB时期全球活跃的火山岩浆活动(包括镁铁质火山作用和华南地区火山灰所指征的长英质火山作用)可能是导致LPME的主要原因。     

鄱阳湖生态环境动态监测服务系统

针对目前生态环境监测中多源多尺度数据获取、定量遥感模型半自动化条件制约海量数据的快速处理与分析以及静态的时空快照服务难以表达动态变化过程等问题,该文从基于传感网的数据多元化实时感知获取、基于数据仓库的生态信息主题化动态汇聚、基于多尺度WFS的智能化服务、基于动态数据驱动的仿真动态模拟知识化应用方面考虑,设计湖泊流域生态环境动态监测服务系统。以鄱阳湖为例进行验证,为鄱阳湖流域的生态监测以及江西省生态文明试验区建设提供服务。     

面向蓝藻的洱海气象监测站布局方法

针对洱海流域蓝藻预警研究所需的气象数据不足的问题,提出洱海气象监测站优化布局方法,采用环境影响统计概念模型分析了对环境产生影响的主要经济因素,根据水体污染指标将洱海各个行政区分为高污染区和低污染区,再考虑汇入洱海支流是否流经高污染区,认为在高污染区支流汇入口是蓝藻发生概率较高的区域。依据2个主要参数:区域污染程度和支流入口,部署气象监测站,该监测站能为洱海蓝藻预警研究提供必要、准确和可靠的水面气温、降雨量以及日照长度等气象参数,将对水环境的监测和研究具有重大意义和广泛应用前景。     

Grid pattern recognition in road networks using the C4.5 algorithm

Pattern recognition in road networks can be used for different applications, including spatiotemporal data mining, automated map generalization, data matching of different levels of detail, and other important research topics. Grid patterns are a common pattern type. This paper proposes and implements a method for grid pattern recognition based on the idea of mesh classification through a supervised learning process. To train the classifier, training datasets are selected from worldwide city samples with different cultural, historical, and geographical environments. Meshes are subsequently labeled as composing or noncomposing grids by participants in an experiment, and the mesh measures are defined while accounting for the mesh’s individual characteristics and spatial context. The classifier is generated using the C4.5 algorithm. The accuracy of the classifier is evaluated using Kappa statistics and the overall rate of correctness. The average Kappa value is approximately 0.74, which corresponds to a total accuracy of 87.5%. Additionally, the rationality of the classifier is evaluated in an interpretation step. Two other existing grid pattern recognition methods were also tested on the datasets, and comparison results indicate that our approach is effective in identifying grid patterns in road networks.     

进积型三角洲交汇区沉积模式--以东营凹陷沙三中亚段为例

作为碎屑岩储层发育的最主要沉积相类型之一,进积型三角洲在油气勘探领域具有举足轻重的地位;加强对进积型三角洲沉积模式的研究,对于油气储层预测具有重要现实意义。渤海湾盆地东营凹陷古近纪湖盆内发育的东营三角洲和永安三角洲在沙河街组三段中亚段沉积期发生了交汇,而有关两个三角洲的交汇方式、沉积特征及交汇区储层的预测尚未引起足够的重视。以岩芯观测、录井和地震资料为基础,分析了东营凹陷古近系沙三段中亚段三角洲交汇区沉积特征,探讨了沉积期次、交汇过程,建立了三角洲交汇区沉积模式。研究表明,东营凹陷沙河街组三段中亚段主要发育湖泊、进积型三角洲沉积;储集砂体主要形成于三角洲前缘水下分流河道,河口坝微相次之,浊积岩主要分布于深湖区。认为此前界定的东营三角洲的分布范围可能被夸大,而永安三角洲的沉积规模可能被低估。东营凹陷古近系沙三中亚段可划分为9个期次,其作用过程可分为局部交汇阶段和完全交汇阶段。三角洲水下交汇区是水流汇聚和沉积物卸载的有利场所,叠置砂体可成为有利的油气储层,因而具有重要的油气勘探价值。     

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.