利用InSAR和GPS数据分析台湾西南两次Mw＞6地震的触发关系及应力影响

利用InSAR和GPS进行地震研究具有很大的优势,InSAR能够在较大范围内快速地获得连续的同震形变观测,而GPS测量精度高,可迅速获得稳定的测量结果。随着SAR卫星的增多、重返周期的缩短,利用InSAR和GPS联合进行地震触发关系及应力影响研究也变得更为有力。2010年3月4日和2016年2月6日台湾西南部接连发生两次M_w 6.0以上地震,分别被称为甲仙地震和美浓地震。本文利用GPS和InSAR同震形变场联合反演了甲仙地震的滑动分布模型;结合之前的研究成果,基于静态库伦应力改变对甲仙地震与美浓地震的关系进行了分析;还为台湾西南部7个主要断层构建了断层格网并获取了它们的应力改变模型。结果表明,甲仙地震的发震断层表现为逆冲倾滑兼一定走滑分量的断层。甲仙地震的主要滑动区域处于12~16 km深度之间;最大滑动量为0.61 m位于约14 km深处。本文线性反演得到的甲仙地震地震矩为2.27×10¹⁸ Nm,相当于M_w 6.20。甲仙地震后美浓地震的发震断层上应力增值达4.0 MPa,应力增加的面积约占推断断层总面积的74%,表明甲仙地震对美浓地震的发生具有十分明显地加速作用。甲仙和美浓地震共同作用下,西侧的左镇断层和新化断层产生了较明显地应力积累。根据应力改变结果,本文认为甲仙地震和美浓地震后,台湾西南部的左镇断层和新化断层都具有较高的危险性,值得持续关注和进一步研究。     

Understanding geographical patterns of a city’s diurnal rhythm from aggregate data of location‐aware services

Do collective behaviors of the daily routine of a city's inhabitants form the periodical cycling of human activity at the city level (here termed the “city's diurnal rhythm”)? If the answer is yes, do there exist geographical patterns in the city's diurnal rhythm? Using a nationwide dataset of observed uses of location‐aware services in the largest Chinese social media platform, we first confirm the significant periodicity in city‐level human activity from the perspective of the aggregate degree of social media uses over a day. We then investigate geographical changes in the diurnal rhythm of human activity and its local variations in different parts of the city, and between weekdays and weekend days, over 340 Chinese cities. Our results show that a city's diurnal rhythm across the whole country exhibits both regular, nationally conspicuous shifts along geographical gradients and locally distinct spatiotemporal changes within the city. Our findings could provide insights into the characterization of the daily routine of city‐level human activity and its geographical patterns, and have potential for several issues in terms of planning, management, and decision‐making related to human population dynamics.     

基于经验模式分解的太阳南北半球黑子面积的Rieger-type周期相位分析

采用经验模式分解技术研究了从第12到第24太阳活动周黑子面积数据中的Rieger-type周期,以及它们在南北半球上的相位关系。研究发现:(1)Rieger-type周期尺度以及时间尺度在两个半球上是不一样的,从而导致了半球分布的不对称性;(2)平均Rieger-type周期在北半球上的周期长度略大于南半球上的;(3)占主导地位半球的Rieger-type周期的相位不一定是超前的,半球Rieger-type周期尺度相近的也并不一定是相关性强的。     

天文卫星下传数据处理系统的规划

天文卫星获取的数据需要经过卫星下传数据处理系统的一系列加工,生成可以分析的数据产品,这些产品及相应软件要发布给国内外用户,同时数据处理系统还要监测载荷状态、数据质量及天体源爆发等。这样,下传数据处理系统的建设直接关系到物理成果的获取,规划该系统就变得非常有意义。从数据产品定义、子系统规划、数据流程等方面介绍卫星下传数据处理系统的规划,并提出以模块化开发方式从整体上协调各个子系统的开发,使各个系统及其软件相互配合,共同促进科学产出。     

X-ray activity from different types of stars

X-ray emission is an important indicator of stellar activity. In this paper, we study stellar Xray activity using the XMM-Newton and LAMOST data for different types of stars. We provide a sample including 1259 X-ray-emitting stars, of which 1090 have accurate stellar parameter estimations. Our sample size is much larger than those used in previous works. We find a bimodal distribution of the X-ray to optical flux ratio(log(fX/fV)) for G and K stars. We interpret that this bimodality is due to two subpopulations with different coronal heating rates. Furthermore, using the full widths at half maxima calculated from Hα and Hβ lines, we show that these stars in the inactive peaks have smaller rotational velocities. This is consistent with the magnetic dynamo theory that presumes stars with low rotational velocities have low levels of stellar activity. We also examine the correlation between log(fX/fV) and luminosity of the excess emission in the Hα line, and find a tight relation between the coronal and chromospheric activity indicators.     

一种基于GA-BP-MC神经网络的高铁桥墩沉降预测模型

提出一种基于马尔科夫链修正的遗传BP神经网络预测模型（GA-BP-MC）,利用遗传算法的全局寻优能力初始化BP神经网络权值和阈值,初步建立GA-BP神经网络预测模型,结合马尔科夫链的无后效性修正模型预测值,形成高精度GA-BP-MC神经网络变形预测模型。结合高铁桥墩沉降数据,分别与BP神经网络、GA-BP神经网络预测模型进行对比,结果表明,该预测模型精度最高。     

Multi-band Solar Full-disk Extreme Ultraviolet Imager

Solar Extreme Ultraviolet (EUV) imaging observation is an important measure for the researches of solar activities and coronal plasma physics. But the traditional EUV imager and spectrograph can hardly achieve simultaneously the high spectral resolution and wide field-of-view of solar imaging. This paper has designed a new type of solar EUV multi-band imager, by adopting a kind of slitless grating and grazing incidence structure, it can realize the solar full-disk imaging of high spectral and spatial resolution. The field-of-view of the imager can be as broad as 47′. The spectral resolution is 2×10^?3nm per pixel, and the spatial resolution is 1.4′ per pixel. The temporal resolution of the solar full-disk is better than 60 s. The analysis of the solar full-disk spectral image and system response shows that the imager can observe the morphological evolutions of various solar activities, and can provide more comprehensive data for the researches of solar physics and space weather forecast.     

无人海洋测绘技术体系构建

随着无人技术的快速发展,无人测绘的时代即将到来。本文分析了无人时代技术特征与海洋测绘发展机遇;讨论了无人海洋测绘新理念,构建了无人海洋测绘技术体系,论述了无人海洋测绘技术关键技术;展望了无人海洋测绘技术发展趋势,及其在海洋经济、海洋可持续发展中的应用前景。     

GNSS接收机DCB短期时变特征分析和估计方法

提出一种使用非差非组合精密单点定位(PPP)估计和分析接收机DCB短时时变特征的方法。首先利用非差非组合PPP得到包含接收机DCB的重构电离层参数估值;然后通过IGS电离层GIMs格网模型内插剥离各历元站星斜向电离层距离延迟;最后通过最小二乘约束得到各历元接收机DCB解。由于格网本身精度(2~8 TECU)和插值精度限制,解算出来的接收机DCB并不能真实反映其短期时变特征。为此,提出利用站间单差或者历元间差分的方法还原其真实的变化态势。实验结果表明,所提出的方法能够正确估计接收机DCB,并能真实还原其短期时变特征,具有良好的适用性。