Seismic geomorphology of cretaceous megaslides offshore Namibia (Orange Basin): Insights into segmentation and degradation of gravity-driven linked systems

This study applies modern seismic geomorphology techniques to deep-water collapse features in the Orange Basin (Namibian margin, Southwest Africa) in order to provide unprecedented insights into the segmentation and degradation processes of gravity-driven linked systems. The seismic analysis was carried out using a high-quality, depth-migrated 3D volume that images the Upper Cretaceous post-rift succession of the basin, where two buried collapse features with strongly contrasting seismic expression are observed. The lower Megaslide Complex is a typical margin-scale, extensional-contractional gravity-driven linked system that deformed at least 2 km of post-rift section. The complex is laterally segmented into scoop-shaped megaslides up to 20 km wide that extend downdip for distances in excess of 30 km. The megaslides comprise extensional headwall fault systems with associated 3D rollover structures and thrust imbricates at their toes. Lateral segmentation occurs along sidewall fault systems which, in the proximal part of the megaslides, exhibit oblique extensional motion and define horst structures up to 6 km wide between individual megaslides. In the toe areas, reverse slip along these same sidewall faults, creates lateral ramps with hanging wall thrust-related folds up to 2 km wide. Headwall rollover anticlines, sidewall horsts and ramp anticlines may represent novel traps for hydrocarbon exploration on the Namibian margin.The Megaslide Complex is unconformably overlain by few hundreds of metres of highly contorted strata which define an upper Slump Complex. Combined seismic attributes and detailed seismic facies analysis allowed mapping of headscarps, thrust imbrications and longitudinal shear zones within the Slump Complex that indicate a dominantly downslope movement of a number of coalesced collapse systems. Spatial and stratal relationships between these shallow failures and the underlying megaslides suggest that the Slump Complex was likely triggered by the development of topography created by the activation of the main structural elements of the lower Megaslide Complex.This study reveals that gravity-driven linked systems undergo lateral segmentation during their evolution, and that their upper section can become unstable, favouring the initiation of a number of shallow failures that produce widespread degradation of the underlying megaslide structures. Gravity-driven linked systems along other margins are likely to share similar processes of segmentation and degradation, implying that the megaslide-related, hydrocarbon trapping structures discovered in the Namibian margin may be common elsewhere, making megaslides an attractive element of deep-water exploration along other gravitationally unstable margins.     

基于无人机摄影测量的增减挂钩耕地指标检查与评价方法

土地增减挂钩项目的质量检查的传统流程需到实地逐一核实,检查周期长。本文提出一种基于无人机航摄的检查技术流程,结合研发的野外实地调绘软件系统,提出一种新型的基于无人机航摄的增减挂钩项目质量检查流程,并基于DOM检查构建指标评价体系。流程优化了传统外业检查流程,实现地块的全覆盖内业检查和外业的实时取证,确保成果耕地质量指标的准确性,对土地增减挂钩项目给予客观评价。评价体系的应用选取广西几个县增减挂钩为研究对象,探究体系评价的合理性,初步确定该方法基本可行。     

Multistage deformation of linked fault systems in extensional regions: An example from the northern Perth Basin,Western Australia

Linked fault systems identified in the northern portion of the onshore Perth basin comprise north‐striking normal faults, the dominant structures in the basin, and hard linkages—east‐striking transfer faults. The former are either divided into segments of distinctive character by, or terminate at, the transfer faults. The fault systems were initiated by west‐southwest‐east‐northeast extension in the Early Permian but were reactivated by subsequent rifting with approximately east‐west extension in the Jurassic. They were also reactivated by the oblique extension of northwest‐southeast orientation associated with Gondwana continental breakup in the Late Jurassic ‐ earliest Cretaceous. In addition to reactivation, older structures of the linked fault families controlled the development of younger fractures and folds. During the oblique extension, the linked fault systems define releasing bends, characterised by a rollover anticline in the hangingwall of the Mountain Bridge Fault, and restraining bends where contractional folds are sites of major commercial hydrocarbon fields in the basin.     

基于链表的兔子序列生成

针对兔子序列的生成提出了一种基于链表的实现方法,并采用C语言编程实现.选取不同的起点,该方法可生成大量0—1序列,能较好地应用于数字水印中决策等需求.同时,该方法能更形象地表达兔子序列的生成过程,进一步体现链表的动态存储特性,可作为"数据结构"与"程序设计"等课程的实践案例.     

地理空间元数据关联网络的构建

利用资源描述框架（RDF）设计地理空间元数据关联模型,根据地理空间元数据之间的语义关系和语义相关度的计算,以构建以元数据为节点、元数据之间的语义关系为边、语义相关度为权重的关联网络。在这一网络中,一个节点是一个地理空间元数据的资源描述图,包含属性特征（数据来源、空间特征、时间特征、内容）及其关系特征（元数据之间的语义关系、语义相关度）。实验及其分析表明,地理空间元数据关联网络可以有效地支持地理空间数据语义关联检索、推荐等应用,这与传统的基于关键词的元数据检索方式相比,具有更高的准确度。     

从三峡无线数字遥测地震台网勘选成功看无线遥测地震台网的信道

数字遥测地震台网采用无线信道在国内地震界借鉴的经验还非常有限。究竟数字无线遥测,能否在（１０＾－６）误码率指标下,象模拟无线遥测地震台网一样采用单向传输,尚有不同看法。从三峡无线数字遥测地叶网的成功勘选得一邓许多有益的结果,我们关于鸨线信道和信道设备的探索回答了这个问题。结论是：数字地震台网仍然可以采用无线遥测方式组网,采用传输的信道设备既经济原则,技术上也是可行的。     

栉孔扇贝血细胞数量变化与生长的关系

于2009年3月至2010年1月期间,每月中旬分别从青岛和威海两地区采集人工养殖和野生的栉孔扇贝(Chla-mys farreri)。采集的扇贝经壳长测量后,于闭壳肌血窦中取血,离心,重悬,超声波破碎后制得血细胞破碎液。从抗栉孔扇贝血细胞的单克隆抗体库中筛选出1株与颗粒血细胞和透明血细胞均能结合,并能与血细胞多个蛋白结合的单克隆抗体作为酶联免疫吸附法(ELISA)中的第一抗体;第二抗体为碱性磷酸酶标记的羊抗鼠抗体。将血细胞破碎液包被于酶标板孔中,经一抗、二抗孵育后,显色读数,分析血细胞数量与生长的关系。结果表明:两地区人工养殖和野生扇贝的壳长均由3月的2 cm左右增长到了次年1月的7 cm以上,其中4～7月增长较快,而8～1月相对缓慢。两地区人工养殖和野生扇贝的血细胞数量于3～6月间均维持在较高的水平,6月达到最高峰,随后急剧下降,并于8或9月达到最低值,此后10～1月有所回升,但仍显著低于3～6月的水平。结论认为:栉孔扇贝血细胞数量与生长的关系在两地区、两扇贝品种间差别不大;但3～6月栉孔扇贝生长较快,血细胞数量相对高;而8～10月栉孔扇贝生长缓慢,其血细胞数量较低。     

鲁西地壳隆升的伸展构造模式

伸展链锁断层系，形成了鲁西的主导造格局，即“块断”构造。它是由中、生代两次伸展运动形成的。伸展运动幔源岩浆活动有着密切的成生联系。伸展运动的结果，形成了以泰山－鲁山－沂山为核心的鲁中块隆，它至今耸立于周围以平原地貌为标志的地堑系之间，隆起的高点，就是当今的泰山。     

Reference data enhancement for geographic information retrieval using linked data

Gazetteers are instrumental in recognizing place names in documents such as Web pages, news, and social media messages. However, creating and maintaining gazetteers is still a complex task. Even though some online gazetteers provide rich sets of geographic names in planetary scale (e.g. GeoNames), other sources must be used to recognize references to urban locations, such as street names, neighborhood names or landmarks. We propose integrating Linked Data sources to create a gazetteer that combines a broad coverage of places with urban detail, including content on geographic and semantic relationships involving places, their multiple names and related non‐geographic entities. Our final goal is to expand the possibilities for recognizing, disambiguating and filtering references to places in texts for geographic information retrieval (GIR) and related applications. The resulting ontological gazetteer, named LoG (Linked OntoGazetteer), is accessible through Web services by applications and research initiatives on GIR, text processing, named entity recognition and others. The gazetteer currently contains over 13 million places, 140 million attributes and relationships, and 4.5 million non‐geographic entities. Data sources include GeoNames, Freebase, DBPedia and LinkedGeoData, which is based on OpenStreetMap data. An analysis on how these datasets overlap and complement one another is also presented.     

Spatial signatures for geographic feature types: examining gazetteer ontologies using spatial statistics

Digital gazetteers play a key role in modern information systems and infrastructures. They facilitate (spatial) search, deliver contextual information to recommended systems, enrich textual information with geographical references, and provide stable identifiers to interlink actors, events, and objects by the places they interact with. Hence, it is unsurprising that gazetteers, such as GeoNames, are among the most densely interlinked hubs on the Web of Linked Data. A wide variety of digital gazetteers have been developed over the years to serve different communities and needs. These gazetteers differ in their overall coverage, underlying data sources, provided functionality, and geographic feature type ontologies. Consequently, place types that share a common name may differ substantially between gazetteers, whereas types labeled differently may, in fact, specify the same or similar places. This makes data integration and federated queries challenging, if not impossible. To further complicate the situation, most popular and widely adopted geo‐ontologies are lightweight and thus under‐specific to a degree where their alignment and matching become nothing more than educated guesses. The most promising approach to addressing this problem, and thereby enabling the meaningful integration of gazetteer data across feature types, seems to be a combination of top‐down knowledge representation with bottom‐up data‐driven techniques such as feature engineering and machine learning. In this work, we propose to derive indicative spatial signatures for geographic feature types by using spatial statistics. We discuss how to create such signatures by feature engineering and demonstrate how the signatures can be applied to better understand the differences and commonalities of three major gazetteers, namely DBpedia Places, GeoNames, and TGN.