底栖有孔虫(Florilus decors)壳体微量元素/钙比值的LA-ICP-MS原位微区分析方法及应用——以长江口外海域为例

深海沉积物中有孔虫壳体的微量元素、同位素测试技术已较为成熟,而河口近海沉积物中有孔虫壳体元素微区测试却鲜有报道。本文报道了一种利用激光剥蚀电感耦合等离子体质谱（LA-ICP-MS）分析法测试取自长江口外沉积物中的有孔虫壳体元素/钙比值的技术,研究了氦气载气流量、能量密度、束斑大小、激光剥蚀频率等参数对测试结果的影响,优化了活体有孔虫原位分析方法。应用确定的测试条件对2016年7月取自长江口外的底栖有孔虫优美花朵虫样品（Florilus decors）进行测试,发现Mg、Sr等元素/钙比值在壳体不同位置上无显著差异,而Mn的数据较为离散,可能与有孔虫生长过程中经历的水环境及其变化有关。     

大弹涂鱼(Boleophthalmus pectinirostris) Gal-8L基因序列及其细菌凝集活性的鉴定

半乳糖凝集素-8基因(galectin-8,Gal-8)属于凝集素家族一员。已知Gal-8在哺乳动物的先天免疫中发挥重要作用,然而在鱼类中却鲜有报道。本研究通过转录组测序获得大弹涂鱼(Boleophthalmus pectinirostris)半乳糖凝集素-8样基因(galectin-8 like,Bp Gal-8L)c DNA序列。首先确定其序列特征,其次采用实时定量PCR(real-time quantitative PCR,q PCR)的方法鉴定Bp Gal-8L组织表达分布及其与迟缓爱德华氏菌(Edwardsiella tarda)感染相关性;最后分别通过原核表达获得N端和C端CRD区重组蛋白Bp Gal-8L-N和Bp Gal-8L-C,并采用玻片法观察这两个CRD区的细菌凝集活性和糖类结合特性。多重序列比对显示,Bp Gal-8L蛋白含有两个糖识别结构域(carbohydrate recognition domain,CRD),但只有C端的CRD区存在Gal家族典型的β-半乳糖苷糖类结合基序。系统进化树表明Bp Gal-8L属于鱼类Gal-8的一种亚型。q PCR结果显示,Bp Gal-8L基因m RNA在各组织中普遍表达,并且在迟缓爱德华氏菌感染后大弹涂鱼肝和脾中表达量呈上调趋势。细菌凝集实验结果显示,只有Bp Gal-8L-C重组蛋白对检测的5种革兰氏阴性菌及2种革兰氏阳性菌有凝集作用,并与乳糖和脂多糖特异性结合。综上所述,Bp Gal-8L与大弹涂鱼抗菌免疫密切相关,且其N端和C端CRD区发挥不同作用。     

超慢速扩张环境下超镁铁质岩系统的热液硫化物成矿机理以及启示

西南印度洋63.5°E热液区是在超慢速扩张洋脊发现的首个超镁铁质岩热液系统。对取自该区的热液硫化物样品进行了系统的矿物学和地球化学分析,矿物学分析结果表明:该热液区硫化物为富Fe型高温硫化物,且经历了较深程度的氧化蚀变,大量中间态的Fe氧化物充填在硫化物矿物间的孔隙及内部解理中;这些硫化物相以白铁矿为主,其次是等轴古巴矿和少量铜蓝,缺乏黄铁矿、闪锌矿。据推断,该区的热液成矿作用分为4个阶段:低温白铁矿阶段→高温等轴古巴矿阶段→自形白铁矿阶段→后期海底风化阶段（少量铜蓝以及大量的Fe的羟氧化物）。与之相对应,地球化学分析结果表明这些硫化物的Fe含量较高（31.57%~44.59%）,Cu含量次之（0.16%~7.24%）,而Zn含量普遍较低（0.01%~0.11%）;微量元素较为富集Co（328×10-6~2 400×10-6）和Mn（48.5×10-6~1 730×10-6）。该区硫化物中较高含量的Fe、Co与超镁铁质岩热液系统相似,明显高于镁铁质岩热液系统。独特的热液硫化物矿物学特征和元素组成可能与该区普遍出露的地幔岩、橄榄岩蛇纹石化作用以及拆离断层的广泛发育的环境有关。     

粤西海陵湾养殖区邻近海域大型底栖动物生态学特征

根据2014—2016年粤西海陵湾养殖区湾内和湾外邻近海域21°27′—21°38′N、111°42′—111°57′E 4个航次调查资料,对其大型底栖动物生态学特征进行了研究。结果表明,共鉴定大型底栖动物64种,春季种类最多为39种,秋季最低为17种。4季均以环节动物种类数最多,软体动物次之。不同季节间优势种有所差异,仅倍棘蛇尾Amphioplus sp.为周年优势种。春、夏、秋和冬季第一优势种分别为倍棘蛇尾、菲律宾蛤仔Ruditapes philippinarum、短吻铲荚螠Listriolobus brevirostris和平蛤蜊Mactra mera。平均丰度和生物量分别为213ind./m~2和15.4g/m~2,其中丰度以春季最高为248ind./m~2,夏季最低为167ind./m~2,而生物量则以秋季最高为28.0g/m~2,春季最低为2.4g/m~2;平面分布总体呈现湾外高于湾内的趋势。底栖动物Pielou均匀度和Shannon-Wiener多样性指数分别为0.95—1.00和1.56—4.07,其中时间分布规律明显,春季最高,秋季最低;空间上,两者无明显分布差异。群落结构时空差异显著,为沉积物类型、水深、底层无机氮和悬浮物以及捕食压力等因素共同影响的结果。     

Least Square Finite Element Method for Viscous Splitting of Unsteady Incompressible Navier–Stokes Equations

In order to solve unsteady incompressible Navier–Stokes(N–S) equations, a new stabilized finite element method,called the viscous-splitting least square FEM, is proposed. In the model, the N–S equations are split into diffusive and convective parts in each time step. The diffusive part is discretized by the backward difference method in time and discretized by the standard Galerkin method in space. The convective part is a first-order nonlinear equation.After the linearization of the nonlinear part by Newton's method, the convective part is also discretized by the backward difference method in time and discretized by least square scheme in space. C~0-type element can be used for interpolation of the velocity and pressure in the present model. Driven cavity flow and flow past a circular cylinder are conducted to validate the present model. Numerical results agree with previous numerical results, and the model has high accuracy and can be used to simulate problems with complex geometry.     

Walking Access Distance of Metro Passengers and Relationship with Demographic Characteristics: A Case Study of Nanjing Metro

In the metropolises of China, the metro plays an increasingly important role in commuting because of its efficiency, affordability, and cleanliness. This paper attempts to explore the relationship between walking access distance to metro stations and the demographic characteristics of passengers, such as age, monthly income, travel frequency, gender, and travel purpose, as well as the influence of the urban context. Nanjing Metro Line 2 is selected as the case study. By using different methods such as a questionnaire survey, spatial decay function, analysis of covariance (ANOVA), network analysis of routes, and K-means cluster analysis, it is suggested that demographic characteristics have a significant impact on the pedestrian walking distance, with the exception of gender. Furthermore, the paper finds a spatial decay effect in walking access distance, the decay rate of which, however, varies across stations. Terminal stations have a larger pedestrian catchment area than in regular and exchange stations. Moreover, the passengers of Nanjing Metro Line 2 can be classified into six groups according to their demographic characteristics, among which education and occupation are vital indicators in determining their willingness to walk to the stations. Middle-class passengers have a higher dependence on the metro and tend to walk longer than other groups do. This study provides an important reference for planners and transport sectors to optimize land-use and transport infrastructures.     

Optimization Transmission Theory and Technical Pathways that Describe Multiscale Urban Agglomeration Spaces

Urban agglomerations are spatial entities that promote the development of ‘new urbanization' processes within China. In this context, the concept of ‘multiscale urban agglomeration spaces' encompasses three linked levels: macroscale urban agglomerations, mesoscale cities, and microscale urban centers. Applying a series of multidisciplinary integrated research methods drawn from geography, urban planning, and architecture, this paper reveals two intensive utilization laws that can be generalized to apply to multiscale urban agglomeration spaces, top-to-bottom ‘positive transmission' linkage and inside-to-outside ‘negative transmission' movement. This paper also proposes optimization transmission theory and policy decision technical pathways that can be applied to these three urban agglomeration spatial scales. Specific technical pathways of transmission include intensive expansion and simulated decision-making in macroscale urban agglomerations, ecology, production, and living space intensive layout and dynamic decision-making in mesoscale cities, and four cores(i.e., ‘single, ring, axis, and pole core') progressive linkage and intensive optimization decision-making in microscale urban centers. The theory and technical pathways proposed in this paper solve the technical problem of optimization and provide intensive methods that can be applied not only at the individual level but also at multiple scales in urban agglomeration spaces. This study also advances a series of comprehensive technical solutions that can be applied to both compact and smart growth cities as well as to urban agglomerations. Solid theoretical support is provided for the optimization of Chinese land development, urbanization, agricultural development, and ecological security.     

Binary Star Fractions from the LAMOST DR4

Stellar systems composed of single, double, triple or higher-order systems are rightfully regarded as the fundamental building blocks of the Milky Way. Binary stars play an important role in formation and evolution of the Galaxy. Through comparing the radial velocity variations from multiepoch observations, we analyze the binary fraction of dwarf stars observed with LAMOST. Effects of different model assumptions, such as orbital period distributions on the estimate of binary fractions,are investigated. The results based on log-normal distribution of orbital periods reproduce the previous complete analyses better than the power-law distribution. We find that the binary fraction increases with Teff and decreases with [Fe/H]. We first investigate the relation between α-elements and binary fraction in such a large sample as provided by LAMOST. The old stars with high [α/Fe] dominate with a higher binary fraction than young stars with low [α/Fe]. At the same mass, earlier forming stars possess a higher binary fraction than newly forming ones, which may be related with evolution of the Galaxy.     

A model of fast radio bursts: collisions between episodic magnetic blobs

Fast radio bursts(FRBs) are bright radio pulses from the sky with millisecond durations and Jansky-level flux densities. Their origins are still largely uncertain. Here we suggest a new model for FRBs. We argue that the collision of a white dwarf with a black hole can generate a transient accretion disk, from which powerful episodic magnetic blobs will be launched. The collision between two consecutive magnetic blobs can result in a catastrophic magnetic reconnection, which releases a large amount of free magnetic energy and forms a forward shock. The shock propagates through the cold magnetized plasma within the blob in the collision region, radiating through the synchrotron maser mechanism,which is responsible for a non-repeating FRB signal. Our calculations show that the theoretical energetics, radiation frequency, duration timescale and event rate can be very consistent with the observational characteristics of FRBs.     

Soil and Vegetation Spectral Coupling Difference (SVSCD) for Minerals Extraction from Hyperion Data in Vegetation Covered Area

Remote sensing data have been widely applied to extract minerals in geologic exploration, however, in areas covered by vegetation, extracted mineral information has mostly been small targets bearing little information. In this paper, we present a new method for mineral extraction aimed at solving the difficulty of mineral identification in vegetation covered areas. The method selected six sets of spectral difference coupling between soil and plant (SVSCD). These sets have the same vegetation spectra reflectance and a maximum different reflectance of soil and mineral spectra from Hyperion image based on spectral reflectance characteristics of measured spectra. The central wavelengths of the six, selected band pairs were 2314 and 701 nm, 1699 and 721 nm, 1336 and 742 nm, 2203 and 681 nm, 2183 and 671 nm, and 2072 and 548 nm. Each data set’s reflectance was used to calculate the difference value. After band difference calculation, vegetation information was suppressed and mineral abnormal information was enhanced compared to the scatter plot of original band. Six spectral difference couplings, after vegetation inhibition, were arranged in a new data set that requires two components that have the largest eigenvalue difference from principal component analysis (PCA). The spatial geometric structure features of PC1 and PC2 was used to identify altered minerals by spectral feature fitting (SFF). The collecting rocks from the 10 points that were selected in the concentration of mineral extraction were analyzed under a high-resolution microscope to identify metal minerals and nonmetallic minerals. Results indicated that the extracted minerals were well matched with the verified samples, especially with the sample 2, 4, 5 and 8. It demonstrated that the method can effectively detect altered minerals in vegetation covered area in Hyperion image.