虚拟天文台数据访问系统(VO-DAS)任务调度设计与实现

为解决异地、异构、海量天文数据无缝透明地统一访问,中国虚拟天文台(China-VO)研究小组自主设计并开发了一套解决方案——虚拟天文台数据访问系统(VO-DAS)。着重从执行流程、设计模式、Session机制、生命周期、资源销毁、异常处理等模块详细阐述了该系统的任务调度设计。为了验证该系统的可行性和性能,最后描述了多个天文科学范例。     

滕州泉上煤矿碳酸盐岩富水性及对煤层开采的影响

通过滕县煤田(南部)泉上煤矿井下实际揭露及钻孔资料,分析研究了十下灰岩、奥灰富水性特征及石炭二叠纪月门沟群对太原组16,17煤层开采的影响,认为在开采16煤层时,必须遵循“深部疏水降压,浅部采煤”的方针;在开采17煤层时,正常情况下不会受到奥灰水的威协;在井巷开拓过程中必须慎重对待十二灰,应先查明十二灰与奥灰的关系,防止奥灰底鼓水危害。     

Data assimilation for a coastal area morphodynamic model: Morecambe Bay

This paper investigates the use of data assimilation in coastal area morphodynamic modelling using Morecambe Bay as a study site. A simple model of the bay has been enhanced with a data assimilation scheme to better predict large-scale changes in bathymetry observed in the bay over a 3-year period. The 2DH decoupled morphodynamic model developed for the work is described, as is the optimal interpolation scheme used to assimilate waterline observations into the model run. Each waterline was acquired from a SAR satellite image and is essentially a contour of the bathymetry at some level within the inter-tidal zone of the bay. For model parameters calibrated against validation observations, model performance is good, even without data assimilation. However the use of data assimilation successfully compensates for a particular failing of the model, and helps to keep the model bathymetry on track. It also improves the ability of the model to predict future bathymetry. Although the benefits of data assimilation are demonstrated using waterline observations, any observations of morphology could potentially be used. These results suggest that data assimilation should be considered for use in future coastal area morphodynamic models.     

1990—2020年中国能源开采和加工场地多源数据综合制图与时空变化分析

由于当前缺乏有效的能源开采和加工场地精细化遥感探测方法和高精度的数据产品,全国尺度的能源开采和加工场地时空分布规律的认识仍显不足。本研究基于高分辨率遥感影像、土地利用/覆盖数据、网络爬虫数据、OSM地图数据和环境专题数据等信息,发展了基于多源数据融合和专家知识参与获取的能源开采和加工场地遥感识别和精细化制图的技术方法,研发了1990、2000、2010和2020年共4期的中国能源开采和加工场地分布数据产品及2010—2020年场地植被恢复信息数据产品,作为中国土地利用/覆盖变化数据的组成部分（CLUD-Mining）。CLUD-Mining具有较高的质量和可靠性,数据产品平均精度为91.75%;中国能源开采和加工场地开发建设的面积呈现先增长后减少的发展趋势,1990—2010年,面积增长速度从55.22 km²/a上升到95.51 km²/a,而2010—2020年呈现负增长,平均每年减少27.28 km²;此外,2010—2020年场地植被恢复面积达746.76 km²,主要集中在华北区和西南区;中国能源开采和加工场地分布格局逐渐由东部地区向西部地区转移。本研究对提升中国能源开采和加工场地时空分布特征的认识具有重要意义,可为场地污染治理和生态修复提供重要的数据基础。     

Pencil-beam surveys for trans-neptunian objects: Limits on distant populations

Two populations of minor bodies in the outer Solar System remain particularly elusive: Scattered Disk Objects and Sedna-like objects. These populations are important dynamical tracers, and understanding the details of their spatial- and size-distributions will enhance our understanding of the formation and on-going evolution of the Solar System. By using newly-derived limits on the maximum heliocentric distances that recent pencil-beam surveys for trans-neptunian objects were sensitive to, we determine new upper limits on the total numbers of distant SDOs and Sedna-like objects. While generally consistent with populations estimated from wide-area surveys, we show that for magnitude-distribution slopes of α ? 0.7-1.0, these pencil-beam surveys provide stronger upper limits than current estimates in literature.     

青海省祁连县大拉洞柏杨沟矿区煤岩层对比研究

通过研究太原组的沉积特征及聚煤变化规律,采用了标志层、煤岩层组合特征、层间距、测井曲线形态等方法,对矿区内煤层、岩层进行了综合对比。确定了该区主要煤层的赋存层位、形态、分布及变化特征,对周边地区找煤工作具有一定的指导作用。     

Bayesian data fusion in a spatial prediction context: a general formulation

In spite of the exponential growth in the amount of data that one may expect to provide greater modeling and predictions opportunities, the number and diversity of sources over which this information is fragmented is growing at an even faster rate. As a consequence, there is real need for methods that aim at reconciling them inside an epistemically sound theoretical framework. In a statistical spatial prediction framework, classical methods are based on a multivariate approach of the problem, at the price of strong modeling hypotheses. Though new avenues have been recently opened by focusing on the integration of uncertain data sources, to the best of our knowledges there have been no systematic attemps to explicitly account for information redundancy through a data fusion procedure. Starting from the simple concept of measurement errors, this paper proposes an approach for integrating multiple information processing as a part of the prediction process itself through a Bayesian approach. A general formulation is first proposed for deriving the prediction distribution of a continuous variable of interest at unsampled locations using on more or less uncertain (soft) information at neighboring locations. The case of multiple information is then considered, with a Bayesian solution to the problem of fusing multiple information that are provided as separate conditional probability distributions. Well-known methods and results are derived as limit cases. The convenient hypothesis of conditional independence is discussed by the light of information theory and maximum entropy principle, and a methodology is suggested for the optimal selection of the most informative subset of information, if needed. Based on a synthetic case study, an application of the methodology is presented and discussed.     

Local‐government data sharing: Evaluating the foundations of spatial data infrastructures

This paper presents a typology of local‐government data sharing arrangements in the US at a time when spatial data infrastructures (SDI) are moving into a second generation. In the first generation, the US National Spatial Data Infrastructure (NSDI) theoretically involved a pyramid of data integration resting on local‐government data sharing. Availability of local‐government data is the foundation for all SDI‐related data sharing in this model. However, first‐generation SDI data‐sharing activities and principles have gained only a tenuous hold in local governments. Some formalized data sharing occurs, but only infrequently in response to SDI programmes and policies. Previous research suggests that local‐government data sharing aligns with immediate organizational and practical concerns rather than state or national policies and programmes. We present research findings echoing extending these findings to show that local‐government data sharing is largely informal in nature and is undertaken to support existing governmental activities. NSDI principles remain simply irrelevant for the majority of surveyed local governments. The typology we present distinguishes four distinct types of local‐government data sharing arrangements that reflect institutional, political, and economic factors. The effectiveness of second generation, client‐service‐based SDI will be seriously constrained if the problems of local government take‐up fail to be addressed.     

Discrimination of spurious self-correlation in nondimensionalized analyses of fluid dynamical data

Nondimensionalization of variables enables us to treat experiment data much more simply and efficiently by decreasing the number of variables. In some cases, trivial conclusions (which Kenney, 1982, called spurious self-correlation) result from a formal application of dimensional analyses. In contrast, in some cases fully significant conclusions can be derived. We first discuss how to construct nondimensional variables retaining the physical meanings of variables. We then propose simple and efficient methods, especially the use of “spurious triangle (SpT)”, to discriminate between significant conclusions and spurious self-correlations in the analysis of nondimensionalized variables.