北部湾地区不同相对密度的海砂力学特性分析

为探究相对密度和有效围压对饱和海砂力学特性的影响,利用GDS动态三轴试验仪,对广西北部湾地区海砂开展了一系列固结排水三轴剪切试验,分析了相对密度、有效围压对饱和海砂强度特征、体变特征、割线模量以及摩擦角的影响规律。结果表明：随着围压的减小或相对密度的增大,试样体积应变不断增大,而相对密度或有效围压的增加均会提高试样的峰值强度,有效围压与峰值强度之间呈现良好的线性增长关系。随着围压的减小或相对密度的增大,应力相对软化系数、剪胀系数均不断增大,且有效围压与应力相对软化系数、剪胀系数分别呈线性和半对数线性相关。割线模量随轴向应变的增加整体呈衰减趋势,各试验工况下轴向应变为5%时试样的割线模量相比于轴向应变0.164%衰减了80%~90%。饱和海砂的峰值摩擦角随相对密度的增加而增大,随有效围压的增大而减小,相对密度D_r为50%时有效围压σ_c为50 kPa对应的峰值摩擦角是σ_c为200 kPa的1.098倍。     

基于模板技术的专题海图快速成图方法研究

首先分析了当前专题海图的生产现状,在此基础上,探讨了模板技术对专题海图快速成图的意义,介绍了基于模板技术的专题海图快速成图技术,并对专题海图制图模板结构进行了总体设计;最后从成图模式、工具平台和应用系统三个方面对基于模板的专题海图快速成图进行了方法上的实现。     

Laboratory Validation of Ultra-Soft Soil Deformation Model

Ultra-soft soil with high moisture content will experience large strain deformation under one-dimensional compression with little or no gain in effective stress. Such deformation behaviour does not comply with Terzaghi’s effective stress gain theory. The e-log s_v^￠ \sigma_{v}^{\prime } relationship of ultra-soft soil is non-linear with large compression index in the first order of log cycle. This paper proposes three compression indices (C_c1^* C_{c1}^{*} , C_c2^* C_{c2}^{*} and C_c3^* C_{c3}^{*} ) for stresses covering three log cycles. Good prediction of settlement magnitude is possible with these newly proposed compression parameters for ultra-soft soil. In addition, implicit finite difference model applying the large strain theory is also proposed and validated with results from laboratory measurements. The time factor curves for ultra-soft soil with large strain compression are also proposed and validated.     

Pedestrian network generation based on crowdsourced tracking data

ABSTRACT

Pedestrian networks play an important role in various applications, such as pedestrian navigation services and mobility modeling. This paper presents a novel method to extract pedestrian networks from crowdsourced tracking data based on a two-layer framework. This framework includes a walking pattern classification layer and a pedestrian network generation layer. In the first layer, we propose a multi-scale fractal dimension (MFD) algorithm in order to recognize the two different types of walking patterns: walking with a clear destination (WCD) or walking without a clear destination (WOCD). In the second layer, we generate the pedestrian network by combining the pedestrian regions and pedestrian paths. The pedestrian regions are extracted based on a modified connected component analysis (CCA) algorithm from the WOCD traces. We generate the pedestrian paths using a kernel density estimation (KDE)-based point clustering algorithm from the WCD traces. The pedestrian network generation results using two actual crowdsourced datasets show that the proposed method has good performance in both geometrical correctness and topological correctness.     

INFLUENCE OF SERIES OF SQUARE GRIDS ON FRACTAL DIMENSIONS—A Case Study of Mountains of China＇s Mainland

MANDELBROT enunciated the uncertainty of the length of a coastline in his paper “How long is the coastline of Britain?” published in Science in 1967. The fractal concept was presented for the first time in that paper and has been applied to many fields ever since. Although fractal dimensions of lots of phenomena were calculated by the box-counting method, the quantitative influence of series of square grids on them is ignored. The issue is systematically discussed as a case study of the mountains of China‘s Mainland in this paper. And some significant conclusions are drawn as follows: 1) Although the fractal character objectively exists in the mountains of China‘s Mainland, and it does not vary with the changes of series of square grids, the fractal dimensions of the mountains of China‘s Mainland are different with these changes. 2) The fractal dimensions of the mountains of China‘s Mainlandvary with the average lengths of sides of series of square grids. The fractal dimension of the mountains of China‘s Mainland is the function of the average length of side of square grid. They conform to the formula D=f(r) (where D is the fractal dimension, and r is the average length of side of square grid). 3) Different dots of data collection can affect the fractal dimension of the mountains of China‘s Mainland. 4) The same range of length of side of square grid and dots of data collection can ensure the comparison of fractal dimensions of the mountains of China‘ s Mainland. The research is helpful to get the more understanding of fractal and fractal dimension, and ensure that the fractal studies would be scientific.     

Differences in the Feeding Ecology of Two Seagrass-Associated Snails

Grazing by small epifauna on live seagrass leaves was formerly viewed as unimportant in controlling plant biomass and growth, instead researchers focused on the indirect benefits of small invertebrates that crop algal competitors. Recent evidence shows that the emerald nerite Smaragdia viridis preferentially ingests seagrass leaf tissue. In contrast, the button snail Modulus modulus feeds on epiphytes and periphyton coating the leaves. We conducted laboratory microcosm and field experiments to investigate how the different feeding preferences of these seagrass-associated snails affect turtlegrass Thalassia testudinum primary production. Data revealed that after 24 h S. viridis reduced foliar biomass (25%) and chlorophyll (30%) and injured the equivalent of 50% of daily seagrass growth per shoot. Conversely, M. modulus did not affect these variables. Our results emphasize that in subtropical seagrass communities not all small epifauna browse off leaf surfaces and some can have important direct negative impacts on their seagrass host.     

Assessment of air temperatures from different meteorological reanalyses for the East Antarctic region between Zhonshan and Dome A

The accuracy of daily mean 2 meter air temperatures from five reanalyses are assessed against in-situ observations from Automatic Weather Stations in East Antarctica for 2005 to 2008.The five reanalyses all explain more than 70%of the average variance,and have annual root mean square errors(RMSE)between 3.4 and 6.9°C.The NOAA reanalyses,NCEP-1,NCEP-2and 20CRv2,have cool biases of 2.5,1.4 and 1.5°C,respectively.The ERA Interim and JCDAS reanalyses have warm biases of 1.7 and 2.0°C.All reanalyses generally perform better in the austral spring and worse in winter and autumn.They also show the best performance at an inland plateau site at 2800 m elevation,but are worst at Dome A,the summit of the East Antarctic ice sheet.In general,ERA Interim is superior to the other reanalyses,probably because of its 4D assimilation scheme.The three NOAA reanalyses perform worst;Their assimilation scheme is more constrained by limited observations and 20CRv2has less input data,assimilating only surface pressure observations.Despite deficiencies and limitations,the reanalyses are still powerful tools for climate studies in the Antarctic region.However,more in-situ observations are required,especially from the vast interior of Antarctica.     

Deterioration of Sediment Quality in Seagrass Meadows (<Emphasis Type="Italic">Posidonia oceanica</Emphasis>) Invaded by Macroalgae (<Emphasis Type="Italic">Caulerpa</Emphasis> sp.)

Species of the macroalgae Caulerpa sp. are increasingly being observed in meadows of the endemic Mediterranean seagrass Posidonia oceanica, and in particular Caulerpa taxifolia, has been considered as an invasive species leading to seagrass decline. Studies have so far failed to reveal the underlying mechanisms of the success of the macroalgae, and here, we examine how biogeochemical changes of the environment associated to indigenous (Caulerpa prolifera) and non-indigenous (Caulerpa racemosa and C. taxifolia) species affect the habitat of P. oceanica. Two of the species (C. prolifera and C. racemosa) affect the sediment biogeochemical conditions by increasing organic matter pools, microbial activity, and sulfide pools of the sediments, and limited effects were found for C. taxifolia. Biomass of the macroalgae contributed to the extent of impacts, and high sulfide invasion into the seagrasses and regression of the meadow were pronounced at the location with the highest Caulerpa biomass. This suggests that Caulerpa invasion contributes to seagrass decline probably because Caulerpa thrives better than the seagrasses in the modified environment.     

CCD photometry of five X-ray selected BL Lacertae objects

We present the results of the monitoring of a sample of 5 HBLs in the B, V and R bands during 2003–2008. All sources in our monitoring project show significant rapid optical variations, except 1ES 1959+650, however; for 1ES 1959+650, the gamma-ray variability on a timescale of ～7 hours has been observed by Holder et al. (Astrophys. J. 583:L9, 2003). Using these variability timescales, we estimate the black hole masses for each source with the Kerr black hole theory.     

Color dependence of clustering properties of Luminous Red Galaxies (LRGs)

From the approximately volume-limited Luminous Red Galaxy (LRG) sample of the Sloan Digital Sky Survey Data Release 6 (SDSS DR6), we construct three LRG samples with different g-r color, which have the nearly same number density, to investigate the color dependence of clustering properties of LRGs. It is found that the blue galaxies have a more filamentary distribution than red galaxies, and that the bluest LRGs preferentially inhabit the dense groups and clusters. But in three LRG samples with different u-g color, we do not observe the tendency for clustering properties of LRGs to significantly change with color. We preferentially conclude that the clustering properties of LRGs are not strongly correlated with colors.