南海海底地震仪异常数据的分析和处理

海底地震仪(Ocean Bottom Seismometer, OBS)数据处理至关重要,是获取深部地壳结构的基础与前提.2006年实施OBS2006-2测线时,有2台OBS(OBS03,OBS06)数据出现异常,无法使用.由于海上航次花费巨大,采集到的数据弥足珍贵.本文采用数据格式检查、邻近台站对比分析、重采样等方法,成功地对这2台OBS数据进行了解编处理,得到了这两个台站的综合地震记录剖面;利用上述方法对2011年实施的OBS973-3测线中的异常台站OBS03进行了分析处理,同样得到了OBS03台站的综合地震剖面;通过查看两次海上实验班报发现,OBS2006-2测线之OBS06与OBS973-3测线之OBS03内部Sedis编号相同,为同一台记录仪器,再一次验证上述处理方法正确可行;然后对OBS2006-2测线2个台站进行震相识别与走时拾取后,利用前人纵波速度模型开展了射线追踪与走时模拟.此次对异常OBS数据的重新处理工作,不仅为OBS探测提供了宝贵的数据处理经验,而且将提高OBS2006-2测线地壳结构的可靠性和约束性,具有重要的研究意义.     

在BPL信道上增加数据广播内容的探讨

分析了现有罗兰C（包括BPL）在授时方面存在的不足，提出了在BPL信道上实现数据广播的主要目的。详细讨论了各种可能的数据信息的结构，并给出了有关参数和数据的计算方式和公式。认为发播内容的选择是由期望的系统功能决定的，广播内容的编排则与具体实现技术相关。最后给出了在不同调制方法下的传输速率，这是合理编排广播内容的基础。     

3D triangulation of a Sun-grazing comet

The bright Kreutz Comet C/2007 L3 (SOHO) entered the fields of view of the twin Solar Terrestrial Relations Observatory (STEREO) COR1 telescopes on 7–8 June 2007. The 12° separation between the two spacecraft at the time afforded the opportunity to derive the position of the comet's tail in three-dimensional space using direct triangulation. The track of the comet's orbit is compared against more traditional orbital calculations using observations from the STEREO COR2 telescopes, and from the Large Angle and Spectrometric Coronagraph (LASCO) aboard the Solar and Heliospheric Observatory (SOHO). The shape of the comet's tail shows that it is composed of dust particles released when the comet was between 18 and 22 solar radii, with no significant dust production after that. The comet did not survive perihelion passage, but a rare faint remnant of the comet tail persisted for several hours after the break-up, and was seen by both the SOHO and STEREO coronagraphs to drift slowly away from the Sun. This tail remnant was found to be composed of particles far back from the head of the comet. The motion of the tail remnant shows a loss of angular momentum during the passage through the solar corona. Atmospheric drag is estimated to account for a significant fraction of this change in angular momentum, but indications are that other mechanisms may be required to completely account for the total amount of change.     

我国无居民海岛管理现状、问题及建议

无居民海岛是我国自然资源的重要组成部分。为加快推进生态文明建设,党和国家对我国自然资源的管理提出了新的要求。文章采用问题和目标导向的研究方法,通过对我国无居民海岛管理的历史遗留问题、管理能力、管理体系和信息化建设等方面进行分析,提出了分类处置历史遗留用岛,优化精细化分类管理体系、完善海岛管理制度体系、完善海岛数据更新体系等建议,对提升我国无居民海岛管理水平,实施海洋强国战略具有重要的意义。     

Since turtles cannot talk: what beak movement sensors can tell us about the feeding ecology of neritic loggerhead turtles,Caretta caretta

Understanding the role that consumers play in an ecosystem requires knowledge about food selection and intake rates. However, such basic data are often difficult to obtain, particularly for marine animals that are not easy to observe. To overcome this problem, a beak movement sensor was employed on a free‐ranging loggerhead turtle in a neritic foraging habitat at the Domitian littoral (SW Italy). In combination with gastrointestinal content analysis from six turtles found dead in the same area we sought to identify which beak movement patterns were associated with which prey type, and to quantify the ingestion of the various prey types. Brachyuran crabs (100% occurrence), in particular Liocarcinus vernalis, and small molluscs (66% occurrence) were found most frequently in the stomach and intestine of the turtles. Beak movements revealed average ingestion rates of (mean ± SE) 0.27 ± 0.13 food items per minute and that feeding occurred predominantly during dives >4 m and during early morning and evening. Interestingly, the time spent feeding amounted to only 2.2% of the total observation time, whereas feeding‐associated dives added up to just above 10% of the total time. We thus established that loggerhead turtles in this area are specialised on brachyuran crabs, on which they prey with high success during the short time dedicated to foraging. This information strengthens our knowledge about turtle–prey and turtle–habitat interactions, which are essential data to delineate the role that turtles play in this and similar marine ecosystems. Moreover, since the same area is also intensively used by the regional bottom trawl fishery, our results have important conservation implications, because they clearly show the time of day and water depths for which fishing activity should be regulated to reduce the number of turtles that are currently being incidentally caught in this area.     

基于加速度传感器数据融合的隧道施工地面沉降监测技术研究

地面沉降的监测和控制一直是制约隧道施工安全的关键问题,目前地表沉降量一般利用水准仪等传统设备、通过人工定期测量获取,无法进行实时动态观测。随着无线传感器网络和微机电系统的高速发展,通过在地表布置无线传感器节点,即可对隧道施工引起的地面沉降进行实时监测。本文对处于盾构施工期的某隧道开展了基于加速度传感器数据融合的地面沉降监测技术研究。首先,在隧道上方和两侧布置了内嵌两套加速度传感器的节点盒,获取原始监测数据;然后,利用旋转矩阵求解其空间法向量,并通过投影得到地表节点在隧道轴向上的倾斜角;最终,通过集中式卡尔曼滤波对上述两类传感器的倾斜角进行融合估计,推导出传感器倾斜角随时间的变化情况。基于该方法,通过布置传感器节点监测网,即可估算隧道施工引起的地表绝对沉降量。     

Assessing spatial and attribute errors in large national datasets for population distribution models: a case study of Philadelphia county schools

Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing efficiency and Internet availability. The ability to store and transmit large datasets has encouraged the development of national infrastructure datasets in geospatial formats. National datasets are used by numerous agencies for analysis and modeling purposes because these datasets are standardized and considered to be of acceptable accuracy for national scale applications. At Oak Ridge National Laboratory a population model has been developed that incorporates national schools data as one of the model inputs. This paper evaluates spatial and attribute inaccuracies present within two national school datasets, Tele Atlas North America and National Center of Education Statistics (NCES). Schools are an important component of the population model, because they are spatially dense clusters of vulnerable populations. It is therefore essential to validate the quality of school input data. Schools were also chosen since a validated schools dataset was produced in geospatial format for Philadelphia County; thereby enabling a comparison between a local dataset and the national datasets. Analyses found the national datasets are not standardized and incomplete, containing 76 to 90 percent of existing schools. The temporal accuracy of updating annual enrollment values resulted in 89 percent inaccuracy for 2003. Spatial rectification was required for 87 percent of NCES points, of which 58 percent of the errors were attributed to the geocoding process. Lastly, it was found that by combining the two national datasets, the resultant dataset provided a more useful and accurate solution.     

Estimating uncertainty associated with water stages from a single SAR image

It is the goal of remote sensing to infer information about objects or a natural process from a remote location. This invokes that uncertainty in measurement should be viewed as central to remote sensing. In this study, the uncertainty associated with water stages derived from a single SAR image for the Alzette (G.D. of Luxembourg) 2003 flood is assessed using a stepped GLUE procedure. Main uncertain input factors to the SAR processing chain for estimating water stages include geolocation accuracy, spatial filter window size, image thresholding value, DEM vertical precision and the number of river cross sections at which water stages are estimated. Initial results show that even with plausible parameter values uncertainty in water stages over the entire river reach is 2.8 m on average. Adding spatially distributed field water stages to the GLUE analysis following a one-at-a-time approach helps to considerably reduce SAR water stage uncertainty (0.6 m on average) thereby identifying appropriate value ranges for each uncertain SAR water stage processing factor. For the GLUE analysis a Nash-like efficiency criterion adapted to spatial data is proposed whereby acceptable SAR model simulations are required to outperform a simpler regression model based on the field-surveyed average river bed gradient. Weighted CDFs for all factors based on the proposed efficiency criterion allow the generation of reliable uncertainty quantile ranges and 2D maps that show the uncertainty associated with SAR-derived water stages. The stepped GLUE procedure demonstrated that not all field data collected are necessary to achieve maximum constraining. A possible efficient way to decide on relevant locations at which to sample in the field is proposed. It is also suggested that the resulting uncertainty ranges and flood extent or depth maps may be used to evaluate 1D or 2D flood inundation models in terms of water stages, depths or extents. For this, the extended GLUE approach, which copes with the presence of uncertainty in the observed data, may be adopted.     

地下流体前兆模糊识别

在地震的孕育、发生到发展的过程中，可能会出现多项地下流体观测量不同程度的前兆异常变化，这些异常变化是复杂多样、模糊不清的。引入模糊识别法对一定区域和一定时间段的地下流体观测数据进行了分析和处理，表明模糊识别法可较好地识别和分辨出地下流体前兆的地震异常。