利用广义叠加反演方法估算长岛震群应力降

地震应力降是表征震源特性的一个重要参数,通常由震源谱计算得到.但如何从大量地震的观测谱中校正路径和台站效应,准确地分离出震源谱并计算应力降,仍是一个难题.本文采用广义叠加反演方法通过分阶段叠加从观测谱中迭代分离出震源项、台站项和路径项,并利用分震级的叠加震源项与理论谱的拟合得到经验格林函数,再利用由经验格林函数校正后的真实震源谱估算出应力降.该方法不需要知道仪器响应、场地响应和传播路径上的衰减系数,并且不用事先假设震源具有自相似的恒应力降特征,计算效率很高,适用于反演大量地震的震源参数.我们将广义叠加反演方法应用于长岛震群,利用S波谱估算了1431个ML≥1.0地震的应力降.结果表明,广义叠加反演方法获得的震源参数和用传统方法得到的结果一致;长岛震群地震的应力降较小(中值是0.3 MPa),变化范围很大(0.009～3.04MPa之间),属于低应力降事件集;同时应力降中值随地震矩增大而增大,偏离了自相似理论.应力降空间变化不均匀,高应力降事件主要集中在震群的端部(NW端),到最近断层距离的依赖性不强,在9、10km处的应力降中值略高于其他深度.根据应力降的变化特征和区域构造条件,我们推测地下流体在长岛震群的活动中起到一定的作用.     

基于合成孔径技术CSAMT成像研究

可控源音频大地电磁测深(CSAMT)在实际生产中具有广泛的应用,但依然存在着一些急需解决的问题,需引进新技术和方法,提高其探测、解释精度.根据CSAMT中同一目标体相邻的回波信号具有很强的相关性,借助合成孔径思想,对CSAMT数据进行相关叠加合成,进而提高其探测精度.本文首先解决了把应用于波动场的合成孔径技术应用到频率域扩散场中,再通过模型算例表明合成孔径技术可以有效的增强弱信号、提高分辨率、减小场源效应、提高信噪比等,通过噪声加载,也进一步证实了合成孔径成像技术在CSAMT的有效性.     

Differences between Humic Substances from Riverine,Estuarine, and Marine Environments Observed by Fluorescence Spectroscopy

Sixteen samples of fulvic acids and XAD‐4 fractions of riverine, estuarine, coastal, and open ocean origin have been studied by emission and synchronous molecular fluorescence spectroscopy. Certain features of the molecular fluorescence are related to the nature, the content, and the origin of those aquatic humic substances (HS). Riverine HS appear several times richer in fluorophores than marine HS, which can be well observed by emission fluorescence spectroscopy. Synchronous‐scan spectra of fulvic acids and of XAD‐4 fractions from the aquatic environments studied, emphasized the quality differences of their fluorophores. These features are useful as tracers of humic substances related with their natural environment source or even with their anthropogenic origin.     

Data Cube on Demand (DCoD): Generating an earth observation Data Cube anywhere in the world

To tackle Big Data challenges such as Volume, Variety, and Velocity, the Earth Observations Data Cube (EODC) concept has emerged as a solution for lowering barriers and offering new possibilities to harness the information power of satellite EO data. However, installing, configuring, and managing an EODC instance is still difficult requiring specific knowledge and capabilities. Consequently, facilitating and automating the generation and provision of EODC given specific user’s requirements can be beneficial.In response to this issue, this paper presents the Data Cube on Demand (DCoD) approach, a proof-of-concept that aims at facilitating the generation and use of an EODC instance virtually anywhere in the World. Users are only required to specify an area of interest; select the types of sensors between Landsat 5-7-8 and Sentinel-2; choose a desired temporal frame; and provide their email address to receive notifications. Then automatically an empty ODC instance is instantiated and desired data are ingested.The proposed approach has been successfully tested in two sites in Bolivia and DRC in the field of environmental monitoring. It has lowered many complexity barriers of such a new technology; greatly facilitated the generation and use of the Data Cube technology; enhanced data sovereignty; and ultimately can help reaching large adoption and acceptance.     

熵增理论对海洋空间资源"一张图"综合监管平台系统建设的启示

近年来,随着海洋管理理念转变和水平提升,海洋空间资源监管业务方向持续优化调整,对全流程精准数据的要求越来越高,各类多源异构数据不断增加,自下而上新的业务需求层出不穷,系统顶层设计有限性和应用需要无限性之间的矛盾日益凸显。为破解此难题,文章首次应用熵增理论,分析系统平台日益臃肿、难以维护的原因,并提出应用开放系统、远离平衡态、涨落、非线性关系等耗散系统的关键点来解决系统平台存在的问题,从理念层面为系统平台优化设计提供参考。     

柴达木盆地水岩硼含量分布特征及其富集区域物源探讨

柴达木盆地盐湖是我国重要的硼资源富集区和成矿区。针对盆地内不同盐湖硼资源富集程度的差异性,本文采集柴达木盆地北缘河水和泉水样品,分析其硼和锂含量、矿化度和pH值,结合柴达木盆地不同流域补给水及蚀源区岩石已有的硼锂含量,总结盆地水岩体系硼锂含量地球化学特征,并对柴达木盆地北缘富硼盐湖物源进行了探讨。结果表明,柴达木盆地北缘祁连山流域水体和岩石硼含量均较阿尔金山和昆仑山流域高,而其锂含量均较昆仑山那棱格勒河流域低,显示柴达木盆地北缘水岩相对富硼贫锂的地球化学特征。综合对比柴达木盆地不同流域硼锂资源分布,显示出整个盆地硼锂含量的不均一性和不同步性特征。针对柴达木盆地北缘富硼盐湖的物源研究,主要归纳为祁连山系围岩（含电气石花岗岩）的风化淋滤、深部富硼地下水补给和含盐风成沉积溶滤输入成因,其中深部富硼地下水补给为最主要的来源。     

柴达木盆地中部高Mg/Li盐湖卤水富镁物源探讨

为了查清那棱格勒河尾闾盐湖—一里坪、西台、东台和察尔汗盐湖别勒滩区段高Mg/Li卤水富镁的主控因素及成因,系统采集了柴达木盆地那棱格勒河水、流域围岩和尾闾盐湖卤水样品,进行水样、岩样元素含量及矿物组合分析。结果表明,河水阴阳离子含量特征为Na~+>Ca~(2+)>Mg~(2+)和Cl~->HCO~-_3>SO■;与河水相比,卤水Ca~(2+)和HCO~-_3含量降低,Na~+、K~+、Cl~-和SO■明显富集,二者具有相似的Mg~(2+)离子含量所占阳离子总量的百分比(～25%);与南海海水和青海湖湖水蒸发曲线对比,卤水的镁含量落在曲线上,说明卤水富镁是由河水输入、蒸发浓缩控制的,而非盆地古湖自西向东浓缩迁移的结果;通过那陵格勒河流域围岩矿物和镁含量分析,发现河水流经的围岩中沉积有含镁矿物(白云石、含镁方解石和阳起石),且镁含量高达0.6%～11.5%,说明高镁的岩石风化溶滤是引起尾闾盐湖卤水富镁的主因。     

DBSCAN Clustering Algorithm for the Detection of Nearby Open Clusters Based on Gaia-DR2two

In this paper, we attempt to use the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm to detect nearby open clusters based on the Gaia Data Release 2 (Gaia-DR2). We select 594284 stars (within a distance of 100 pc to the Sun) from the Gaia-DR2 catalog, and construct a five-dimensional phase space (three-dimensional spatial position and two-dimensional proper motion) in order to obtain reliable cluster members. At the data preprocessing stage, we normalize each dimension of data to the [0, 1] interval in order to avoid the effect of inconsistent units. Then, we use the k-dist graphs to determine the input parameters of the DBSCAN Algorithm. Finally, we obtain 133 reliable members using the DBSCAN algorithm, which correspond to two open clusters—Hyades and Coma. According to these cluster members, the distances to the Hyades and Coma clusters are determined to be (6.5 ± 0.3) pc and (4.9 ± 0.4) pc, respectively.     

Gap analysis on open data interconnectivity for disaster risk research

Open data strategies are being adopted in disaster-related data particularly because of the need to provide information on global targets and indicators for implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030. In all phases of disaster risk management including forecasting, emergency response and post-disaster reconstruction, the need for interconnected multidisciplinary open data for collaborative reporting as well as study and analysis are apparent, in order to determine disaster impact data in timely and reportable manner. The extraordinary progress in computing and information technology in the past decade, such as broad local and wide-area network connectivity (e.g. Internet), high-performance computing, service and cloud computing, big data methods and mobile devices, provides the technical foundation for connecting open data to support disaster risk research. A new generation of disaster data infrastructure based on interconnected open data is evolving rapidly. There are two levels in the conceptual model of Linked Open Data for Global Disaster Risk Research (LODGD) Working Group of the Committee on Data for Science and Technology (CODATA), which is the Committee on Data of the International Council for Science (ICSU): data characterization and data connection. In data characterization, the knowledge about disaster taxonomy and data dependency on disaster events requires specific scientific study as it aims to understand and present the correlation between specific disaster events and scientific data through the integration of literature analysis and semantic knowledge discovery. Data connection concepts deal with technical methods to connect distributed data resources identified by data characterization of disaster type. In the science community, interconnected open data for disaster risk impact assessment are beginning to influence how disaster data are shared, and this will need to extend data coverage and provide better ways of utilizing data across domains where innovation and integration are now necessarily needed.     

三江源地区近50年降水变化分析

利用西北及三江源(黄河、金沙江及澜沧江)地区122个气象观测台站1956—2004年近50年的逐日降水量及月总降水量资料,分析了三江源地区降水变化特征。结果表明:近50年来三江源地区的年降水量呈减少趋势,减少幅度为6.73mm/10a;降水日数的趋势变化呈较为明显的减少趋势,递减率为2.7d/10a;平均降水强度总体呈弱的增强趋势,增强速率平均为0.20mm/d/10a,增强幅度比中国西北地区平均水平强;从4~9月最长无降水日数趋于增长反映出西北地区干旱化的趋势。