空间科学虚拟观测台体系结构研究

科学观测数据的海量增长,使得旨在实现资源互操作的虚拟观测台(VO)应运而生,并迅速受到相关学科的支持和重视。国际虚拟天文台联盟(IVOA)、行星科学数据系统(PDS)和空间物理归档检索抽取标准(SPASE)等数据组织,正加快制定数据管理模型,推动VO的发展和跨学科应用。结合空间科学应用研究的特点,在借鉴国内外天文和空间科学VO研究成果的基础上,提出了一种针对空间科学数据的Hybrid型VO体系结构,并基于此体系结构发展了一个支持同步收割、格式化管道和事件关联发现的空间科学VO原型。实践和应用结果表明,基于这种体系结构建立的VO在解决全局资源的实时同步、异构应用的高度集成和面向科学问题的数据发现等问题上,有一定的普适性。     

A macroscopic model for predicting the relative hydraulic permeability of unsaturated soils

A macroscopic model for predicting the relative hydraulic permeability of unsaturated soils is proposed. In this model, pores in unsaturated soils are considered to be parallel flow tubes. The water flow in the pores is assumed to take place in the water film on the inside wall of the flow tubes. The viscosity of pore water is considered to be different from the viscosity of pure water and variable with the variation of degree of saturation. The values of tortuosity factor and pore shape factor of unsaturated soils are estimated theoretically. The theoretical model is verified using experimental data for 32 different soils. For application in engineering practice, the value of viscosity of pore water in different soils is proposed.     

Hydrochemical and hydrological processes in the different landscape zones of alpine cold region in China

Investigation of water sources and flow pathways is crucial to understand and evaluate the characteristics of surface water and groundwater systems. This article aims to identify the hydrochemical and hydrological processes in different landscape zones based on hydrochemical analyses of various samples, including samples from glacier, snow, frozen soil meltwater, surface water, groundwater, and precipitation, in the alpine cold region of China. Hydrochemical tracers indicated that chemical compositions are characterized by the Ca-HCO₃ type in the glacier-snow zone; the Mg-Ca-SO₄ type in the alpine cold desert zone; the Ca-HCO₃-SO₄ type in the marsh meadow zone; the Ca-Mg-HCO₃ type in the alpine shrub zone; and the Ca-Na-SO₄ type in the mountain grassland zone. An end-member mixing model was used for hydrograph separation. The results showed that the Mafengou River in the wet season was recharged by groundwater in the alpine cold desert and alpine shrub zones (67%), surface runoff in the glacier-snow zone (11%), surface runoff in the alpine cold desert zone (8%), thawed water from frozen soil in the marsh meadow and mountain grassland zones (9%), and direct precipitation on the river channel (5%). This study suggests that precipitation from the whole catchment yielded little direct surface runoff; precipitation was mostly transformed into groundwater or interflow and was then concentrated into the river channel. This study provides a scientific basis for evaluation and management of water resources in the basin.     

甘孜－理塘板块缝合带研究的新进展

本文首次将甘孜－理塘板块缝合带划分为韧性剪切带及断层构造系统、古生代构造推覆体、蛇绿岩构造组合体。被动陆缘复理石建造、活动陆缘弧前沉积建造、与板块俯冲碰撞有关的花岗岩体、断陷沉积盆地和第三纪推覆构造带等边界地质体。它们形成演化与甘孜－理塘洋壳的俯冲、弧－陆碰撞、陆内会聚、断陷和平移走滑等构造活动密切相关。     

Weighted fuzzy kernel-clustering algorithm with adaptive differential evolution and its application on flood classification

Flood classification is the fundamental problem of flood risk analysis and plays an important role in flood disaster risk management. Considering the fact that flood classification is a problem of multi-attribute and multi-stage fuzzy synthetically evaluation, this paper mainly proposed the weighted fuzzy kernel-clustering algorithm (WFKCA) with adaptive differential evolution algorithm (ADE) to solve this problem. Firstly, WFKCA is detailed introduced, and then the differential evolution algorithm (DE) is applied for the fuzzy clustering, thus to obtain the better results. Taking into consideration the disadvantage of DE, ADE is present after the introduction of DE. Finally, the combination of WFKCA and ADE is applied for flood classification, and the results demonstrated the methodology is reasonable and reliable, thus provide a new effective approach for flood classification.     

2013年4月20日四川芦山MW6.7 (MS7.0)地震参数的测定

2013年4月20日四川芦山M_W6.7(M_S7.0)地震发生后, 中国地震台网中心(CENC)发布了地震速报参数. 该文利用中国国家地震台网97个台站的资料对地震速报参数进行了修订, 得出: 四川芦山M_W6.7地震的发震时刻为北京时间8时2分47.5秒(世界时间0时2分47.5秒), 震中位置为30.30°N、 102.99°E, 震源深度17 km. 该地震的面波震级为M_S7.0, 短周期体波震级为m_b6.0, 中长周期体波震级为m_B7.0; 利用波形反演的方法计算了震源机制解, 得到的最佳双力偶解的参数分别为节面Ⅰ: 走向17°/倾角48°/滑动角80°; 节面Ⅱ: 走向212°/倾角43°/滑动角101°, 矩震级为M_W6.7. 中国地震台网中心发布本次地震为面波震级M_S7.0, 而美国地质调查局(USGS)国家地震信息中心(NEIC)发布为矩震级M_W6.6. 为了消除这种差别, 建议我国也应将矩震级作为对外发布的首选震级, 使震级的发布与国际接轨.      

Design of conceptual model in digital map database

The components of map information are analyzed theoretically in this paper, and the map information includes mainly the spatial information, at tributive information and temporal characteristics information. Then the digital map entity is defined according to construction characteristics of the map information. Finally, on the basis of the analyses of the construction characteristics of digital map entity and present conceptual model of digital map database, an abstracted conceptual model of digital map database is presented. And the Normal Form theory of relational database is discussed particularly.     

Analysis of radial basis function interpolation approach

The radial basis function （RBF） interpolation approach proposed by Freedman is used to solve inverse problems encountered in well-logging and other petrophysical issues. The approach is to predict petrophysical properties in the laboratory on the basis of physical rock datasets, which include the formation factor, viscosity, permeability, and molecular composition. However, this approach does not consider the effect of spatial distribution of the calibration data on the interpolation result. This study proposes a new RBF interpolation approach based on the Freedman＇s RBF interpolation approach, by which the unit basis functions are uniformly populated in the space domain. The inverse results of the two approaches are comparatively analyzed by using our datasets. We determine that although the interpolation effects of the two approaches are equivalent, the new approach is more flexible and beneficial for reducing the number of basis functions when the database is large, resulting in simplification of the interpolation function expression. However, the predicted results of the central data are not sufficiently satisfied when the data clusters are far apart.     

Bayesian prestack seismic inversion with a self-adaptive Huber-Markov random-field edge protection scheme

Seismic inversion is a highly ill-posed problem, due to many factors such as the limited seismic frequency bandwidth and inappropriate forward modeling. To obtain a unique solution, some smoothing constraints, e.g., the Tikhonov regularization are usually applied. The Tikhonov method can maintain a global smooth solution, but cause a fuzzy structure edge. In this paper we use Huber-Markov random-field edge protection method in the procedure of inverting three parameters, P-velocity, S-velocity and density. The method can avoid blurring the structure edge and resist noise. For the parameter to be inverted, the Huber- Markov random-field constructs a neighborhood system, which further acts as the vertical and lateral constraints. We use a quadratic Huber edge penalty function within the layer to suppress noise and a linear one on the edges to avoid a fuzzy result. The effectiveness of our method is proved by inverting the synthetic data without and with noises. The relationship between the adopted constraints and the inversion results is analyzed as well.     

Accelerating agent-based computation of complex urban systems

Despite its popularity, agent-based modeling is limited by serious barriers that constrain its usefulness as an exploratory tool. In particular, there is a paucity of systematic approaches for extracting coarse-grained, system-level information as it emerges in direct simulation. This is particularly problematic for agent-based models (ABMs) of complex urban systems in which macroscopic phenomena, such as sprawl, may manifest themselves coarsely from bottom-up dynamics among diverse agent-actors interacting across scales. Often these connections are not known, but treating them is nevertheless crucial in enabling prediction, in supporting decisions, and in facilitating the design, control, and optimization of urban systems. In this article, we describe and implement a metasimulation scheme for extracting macroscopic information from local dynamics of agent-based simulation, which allows acceleration of coarse-scale computing and which may also serve as a precursor to handle emergence in complex urban simulation. We compare direct ABM simulation, population-level equation solutions, and coarse projective integration. We apply the scheme to the simulation of urban sprawl from local drivers of urbanization, urban growth, and population dynamics. Numerical examples of the three approaches are provided to compare their accuracy and efficiency. We find that our metasimulation scheme can significantly accelerate complex urban simulations while maintaining faithful representation of the original model.