Pulsations and planets: The asteroseismology‐extrasolar‐planet connection

The disciplines of asteroseismology and extrasolar planet science overlap methodically in the branch of high‐precision photometric time series observations. Light curves are, amongst others, useful to measure intrinsic stellar variability due to oscillations, as well as to discover and characterize those extrasolar planets that transit in front of their host stars, periodically causing shallow dips in the observed brightness. Both fields ultimately derive fundamental parameters of stellar and planetary objects, allowing to study for example the physics of various classes of pulsating stars, or the variety of planetary systems, in the overall context of stellar and planetary system formation and evolution. Both methods typically also require extensive spectroscopic follow‐up to fully explore the dynamic characteristics of the processes under investigation. In particularly interesting cases, a combination of observed pulsations and signatures of a planet allows to characterize a system's components to a very high degree of completeness by combining complementary information. The planning of the relevant space missions has consequently converged with respect to science cases, where at the outset there was primarily a coincidence in instrumentation and techniques. Whether space‐ or ground‐based, a specific type of stellar pulsations can themselves be used in an innovative way to search for extrasolar planets. Results from this additional method at the interface of stellar pulsation studies and exoplanet hunts in a beyond‐mainstream area are presented (© 2010 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Search for periodicities of the solar irradiance data from the Earth Radiation Budget Satellite (ERBS) using the periodogram method

We have analyzed the solar irradiance data from the Earth Radiation Budget Satellite(ERBS)during the time period from 1984 October 15 to 2003 October 15.By first filtering the data by Simple Exponential Smoothing,we have applied the periodogram method to the processed data in order to search for its time variation.The study exhibits multi-periodicities on these data around 110,118,574 and 740d with very high confidence levels(more than 99%).These periods are significantly similar to the periods of other solar activities which may suggest that solar irradiance may be associated with other solar activities.     

Parametrization of single and binary stars

Stellar masses and ages are not directly observable parameters, and the methods used to determine them are based on the calibrating relations. In particular, the mass–luminosity relation, based on the masses of less than 200 well-studied binaries, is virtually the only way to estimate the mass of single stars. Thus, the development of methods for estimating stellar masses with accuracy comparable to direct methods is a problem of vital importance.
Here, we describe a method for estimating stellar masses and ages, which is based on the geometric similarity of evolutionary tracks for the stars at the same evolutionary stage in the Hertzsprung–Russell (HR) diagram. To examine the proposed approach, it has been applied to various test data sets. Application of the method, using synthetic stellar spectra Basel Stellar Library (of theoretical spectra; BaSeL), demonstrates that it allows determination of masses and ages of stars with a predictable distribution of uncertainties.
This statistical approach allows us to demonstrate the viability of the method using it on the set of double-lined eclipsing binaries with intermediate-mass and low-mass components which allows us to compare calculated characteristics with observational ones. As a result, the uncertainties of the stellar masses estimated with the proposed method are comparable with the accuracy of ones obtained from direct observations. This allows us to recommend the method for mass estimates of masses of single stars by the localization in the HR diagram.
As for the ages, the estimates for intermediate-mass stars are more reliable, while those obtained for low-mass stars are very uncertain, due both to slower movement of these stars in the HR diagram with age at stages close to the main sequence and to certain disagreements between theoretical models for this mass range.     

支持向量回归机在滑坡安全可靠度评价中的应用研究

探讨支持向量机的参数优化方法,将学习能力较强的支持向量机引入滑坡可靠度评价当中,并根据数理统计的理论,对滑坡稳定性敏感性因素作数据处理,并证明其合理性,在此基础上提出一种改进的可靠度指标的计算方法。为便于对比,分别选取49个学习样本和121个学习样本两种计算模型,计算实例表明,这两种计算模型与蒙特卡洛模型计算结果非常接近,充分体现了在小样本的情形下支持向量机的优势,说明将其应用于滑坡安全可靠度评价中是可行的。     

渭河流域典型黄土剖面的环境磁学特征及其古气候意义

对黄土高原南部耀县全新世黄土地层的形成及保存环境进行了研究.结果表明:地层中磁性矿物主要为软磁性矿物,硬磁性矿物对地层的磁学性质贡献小;随着成壤强度的增加,硬磁性矿物的相对含量在减少.本区全新世地层的形成和保存环境为氧化环境,适宜用磁学手段反演全新世古气候.对磁化率和频率磁化率、无磁滞剩磁磁化率的对比分析,可以看出:成壤强度较低时,细粒磁性矿物相对于磁性矿物总量的增加速率相对较快;成壤强度较高时,细粒磁性矿物的相对含量会达到或趋近饱和,相对于磁性矿物总量的增加速率相对较慢.研究表明,在黄土地层中,χfd%和χARM/χ等指示细粒磁性矿物的磁学参数可以显示更细微的气候变化;在古土壤中,χlf的气候指示意义相对更好.     

高密度电阻率成像法在水文地质领域中的应用

高密度电阻率成像法(ERT)作为一种高效、准确的地球物理探测手段,在水文地质领域得到了广泛的应用。本文通过文献追踪和分析,重点讨论了电阻率与含水率、渗透系数、含盐量等水文地质表征参数之间的相关性,并就该方法在地下水资源勘查、溶质运移动态监测以及水文地质参数反演等方面的应用进行了剖析,阐述了ERT探测过程中的主要影响因素及各因素之间的相互关系。最后,针对ERT方法在应用过程中存在的问题提出相应的改进建议。     

风暴浪作用下沙质岸滩稳定机制物理模型试验研究

近年来风暴潮等海洋灾害日趋频发,沙质海岸侵蚀问题也愈发突出,沙滩稳定防护显得日益重要。为研究风暴浪作用下沙质岸滩稳定机制问题,设计了一系列的水槽试验,对风暴浪作用下沙质岸滩的稳定机制和演变过程进行了录像观察和研究分析。试验中采用图像处理技术,根据水和岸滩床面的像素值差异,对岸滩整体剖面进行实时动态提取;对比和分析了不同入射波高、波周期、水深、岸滩初始坡度以及波高连续变化下沙质岸滩演变过程。试验结果表明,岸滩稳定与岸滩初始坡度和沙坝的发育直接相关,而波参数主要影响岸滩扰动幅度和沙坝以及前滩侵蚀边界的位置变化。当入射波高连续变化时,沙坝迅速响应并向离岸迁移。岸滩变化幅值与入射波能流存在明显正相关关系,波能流越大对岸滩稳定性的危害越大。而水位升高会增强前滩向岸侵蚀风险。此外,在本试验尺度下,前滩以侵蚀为主。当岸滩初始坡度小于稳定坡度且波陡较小时,即Dean参数Ω''较小时,岸滩才发生明显的前滩淤积,这对于试验尺度下岸滩恢复工况研究至关重要。具体来说,当岸滩整体坡度为1:10且前滩坡度达到1:5~1:2.5时,岸滩稳定性最好,岸滩形态最接近最终平衡剖面,岸滩趋于稳定的时间最短。     

杭州湾北岸临港新片区岸段潮滩沉积特征

近年来,海洋生态系统生态修复成效评估研究日益受到关注。本文梳理了国内外在红树林、珊瑚礁、海草床、盐沼湿地等四类典型海洋生态系统生态修复成效评估指标和评估方法方面的研究进展。结果表明,典型海洋生态系统在进行生态修复成效评估时,基于修复目标和修复方法,评估指标选取虽各有侧重,但主要包括生物和生境状况两个方面。多数生态修复项目的监测、评估都是在短期内进行的,缺乏长期、连续性监测,社会和经济相关指标的研究还相对较为缺乏。成效评估方法目前没有比较清晰、全面的分类。实际应用的评估方法较为单一,对海洋生态系统服务价值揭示不够全面。     

莱州湾东岸三山岛段砂质海岸沉积物运移动力机制

通过对三山岛岸段冬夏重复的地形测量和表层沉积物的粒度分析,研究了其地貌特征与地形变化规律、沉积物类型、粒度特征、运移趋势,并探讨了沉积物运移的动力机制。结果表明:该岸段可根据1985黄海高程-1.2m(低潮水位)和-6.5m(闭合深度)平面划分为海滩、水下岸坡和浅海陆架三个地貌单元,各地貌单元表层沉积物分布规律与地形变化特征区别显著。其中水下岸坡和浅海陆架地貌单元主要受潮流作用,海滩地貌单元主要受波浪作用。在西向落潮流和西南向潮余流的作用下,水下岸坡地貌单元发育一个中等规模潮流通道-沙脊沉积系统。表层沉积物以向西运移的趋势为主,少数滞留于西部潮流沙脊处,与地形"东侵西淤"的变化规律相符,这些西向运移的沉积物最终离开研究区,补给莱州浅滩。     

海洋生态模型中参数时空分布的反演研究

本文将伴随同化方法应用于海洋生态系统动力学模型。将一年平均分为72个过程,通过同化每一个过程研究区域(17°N-~45°N,173°E~142°W)内的SeaWiFS表层叶绿素数据,优化影响生态机制的5个关键参数Vm、Dz、e、Gm、Dp(简称KP),得到他们在研究区域内的时空分布。对于KP中的每一个参数,首先,分别将其在时间和空间上求平均,得到参数的空间分布场(KPS)和时间分布序列(KPT);其次,将KPS在空间上求平均,得到一个常数(KPC),并利用KPS、KPT和KPC表示出KP的另一种时空变化形式KPST,它减少了模拟过程中变量个数。结果表明,无论是空间分布还是时间分布,Vm、Dz和e具有相同的分布特征和变化趋势,相关系数可达0.99,Dp和Gm亦然,;而Vm、Dz和e的变化趋势与Dp和Gm的变化趋势呈负相关,相关系数可达-0.99。5个参数的变化趋势符合物理意义和生态机制。将模型中的参数分别按上述5种形式赋值,正向运行模式1年,结果表明,考虑参数时空分布的实验误差最小。说明在海洋生态系统动力学数值模拟中,与只考虑参数的空间分布或者只考虑参数的时间分布相比,考虑参数时空分布更合理,更具有物理意义且符合生态机制;伴随同化技术在优化时空变化的参数方面,是一种有效的,普遍适用的方法。