黄土高原大孔径闪烁仪观测特征量T*的研究

基于黄土高原定西站2009年9月大孔L径闪烁仪(LAS)的观测数据,结合涡动相关系统(EC)和梯度塔的同步观测资料,分析了LAS和EC在测量感热通量过程中的温度特征尺度T*及其差异与近地层气象要素风向、位温梯度和稳定度等的关系.结果表明,黄土高原下垫面LAS测量的T*LAS和EC测量的T*EC有很好的相关性,相关系数达到0.955,拟合的线性趋势系数是1.482.对9月进行风向统计,主风向为NNE和SE,NNE风向上T*LAS和T*EC的相关系数是0.960,拟合的线性趋势系数是1.349,SE风向上T* LAS和T*EC的相关系数是0.968,拟合的线性趋势系数是1.619,风向对T*有显著影响.位温梯度与T*呈很好的线性相关关系,T*LAS相较于T*EC与位温梯度有更好的相关性.当稳定度z/L＜1.5时,T*LAS/T*EC随着z/L的增大雨减小;当z/L＞1.5时,T*LAS/T*EC随着z/L的增大而增大.T* LAS/T*EC的变化范围随着z/L的增大逐渐变小,当z/L增大到4后,T*LAS/T*EC开始保持较小的变化范围.     

工程滑坡滑带土抗剪强度与地形坡度的关系

对 12个滑坡滑带土的抗剪强度和相应地形坡角进行了回归分析 ,发现滑带土的抗剪强度与地形坡角之间呈直线关系。     

地球磁层顶磁场重联的动力学过程

用三维可压缩MHD数值模拟研究了在磁场重联过程中电子压力梯度项的效应研究结果发现在较高等离子体β,较小离子惯性尺度条件下,广义欧姆定理中压力梯度项在重联过程的作用不可忽略.在磁重联过程中,压力梯度项虽然没有明显改变磁场拓扑结构和重联速度,但它使电子和离子速度明显增大.由于在离子惯性尺度下,离子和电子运动解耦,电子是电流的主要载流子,所以场向电流也增大,并导致核心磁场明显增大.考虑到场向电流是磁层电离层耦合的一个重要因素,所以电子压力梯度项的引入加强了行星际磁场南向期间磁层电离层的耦合.电子压力梯度项还在重联区激发了波动,该波动可向重联区外传播.     

Heterogeneous surface displacement pattern at the Hatchobaru geothermal field inferred from SAR interferometry time-series

We estimated surface displacements using persistent scatterer SAR interferometry (PS-InSAR) around the Hatchobaru geothermal field, Japan, from 18 ALOS/PALSAR images acquired from July 2007 to December 2010. Generally, geothermal fields, covered with natural targets such as rocky terrain and vegetation, have been one of the difficult targets for PS-InSAR analysis. However, we applied space adaptive filtering to increase the number of pixels for measuring surface displacement. The results of our analysis demonstrate ground subsidence with decaying velocity over the observation period around the geothermal field. The spatial pattern of ground subsidence includes sharp boundaries of subsidence that can be interpreted as fault traces. We demonstrated the usefulness of PS-InSAR analysis with the space adaptive filtering to estimate surface displacements with high spatial resolution and high spatial density around a geothermal field.     

Seismic attenuation estimation using a complete ensemble empirical mode decomposition-based method

The frequency attenuation gradient method can provide important information for hydrocarbon detection. In this paper, a method using Complete Ensemble Empirical Mode Decomposition (CEEMD), Hilbert transform and the least-squares curve-fitting is proposed for seismic attenuation estimation as an effective frequency attenuation gradient estimation approach. We first use CEEMD to obtain the different Intrinsic Mode Functions (IMFs), which have a narrow band and can enhance the physical meaning of instantaneous attributes trace by trace. The time-frequency spectrum, which is computed using a Hilbert transform of each IMF, is represented as a spectrum with a single-peak that has narrow side lobes, which is conducive to frequency attenuation gradient estimation. Second, for each time sample, the frequency-amplitude spectrum of each IMF trace is extracted from the time-frequency spectrum to conduct the attenuation gradient computation. Then, the logarithm operation is performed for each IMF trace. Due to the very narrow bands of some IMFs in some seismic traces, a variable frequency window is adopted along the IMF trace according to the local data characteristics. Finally, the attenuation gradient for each IMF in a seismic trace can be computed using least-squares fitting. A different IMF reflects a seismic trace with a different spatiotemporal scale and can highlight different geologic and stratigraphic information. The correlation weighted average operation is used to highlight some useful details in seismic trace and obtains the attenuation gradient for each seismic trace. Field data examples demonstrate our method and its effectiveness. The proposed method can stably estimate the frequency attenuation gradient.     

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data

When travelling, people are accustomed to taking and uploading photos on social media websites, which has led to the accumulation of huge numbers of geotagged photos. Combined with multisource information (e.g. weather, transportation, or textual information), these geotagged photos could help us in constructing user preference profiles at a high level of detail. Therefore, using these geotagged photos, we built a personalised recommendation system to provide attraction recommendations that match a user's preferences. Specifically, we retrieved a geotagged photo collection from the public API for Flickr (Flickr.com) and fetched a large amount of other contextual information to rebuild a user's travel history. We then created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking. In the matching process, we used a support vector machine model that was modified for multiclass classification to generate the candidate list. In addition, we used a gradient boosting regression tree to score each candidate and rerank the list. Finally, we evaluated our recommendation results with respect to accuracy and ranking ability. Compared with widely used memory-based methods, our proposed method performs significantly better in the cold-start situation and when mining ‘long-tail’ data.     

深海沉积物地热探针贯入沉积物深度的探讨

针对新型自容式高精度深海沉积物地热探针贯入沉积物深度、插入过程的运动轨迹以及探针的稳定性问题,进行了深入研究,对探针的结构设计以及探针下放要求具有重要指导意义.     

椒江口潮间带大型底栖动物群落beta多样性分析

于2007年10月在椒江口共布设6条潮间带采样断面,每条断面在中潮带上区、中区、下区和低潮区各设1站位进行大型底栖动物采样。分析了不同采样站位数与大型底栖动物种数的关系,选用Wilson-Shmidabeta多样性测度方法,对以下3种空间环境梯度下大型底栖动物群落beta多样性进行了研究:(1)断面内垂直环境梯度;(2)河流到海洋的环境梯度;(3)河口两岸间的距离梯度。分析了不同采样站位数对群落beta多样性指数的影响,结果显示:(1)随着采样站位数的增加,物种数呈增加趋势但增速渐慢,同时beta多样性指数呈下降趋势;(2)不同的潮区间隔下的be-ta多样性指数均有显著差异;(3)在北岸和南岸,随着断面间距的增加beta多样性指数均呈升高趋势,而且与各断面的沉积物粒度、油类含量呈显著相关;(4)椒江口为喇叭形河口,随着河口两岸断面距离的增加beta多样性指数呈升高趋势。     

中国近海海洋要素最大跃层强度及其对应深度的分布规律研究

利用海洋模态重构方法对LEVITUS数据库数据进行了分析,获得了中国近海的温度、密度和声速的最大跃层强度及其深度的月平均变化规律.海洋要素的最大跃层强度在7、8月份达到最大,而且分布均匀,最大跃层强度对应的深度为全年最浅.12月至次年3月的最大跃层强度最小,分布杂乱,最大跃层强度对应的深度为全年最深.其他月份的分布介于二者之间.     

河北平原非地热异常区地热资源

多年来 ,由于人们对地热资源认识的局限性 ,只把注意力集中在地热异常区 ,即地温梯度大于3.5℃/100m或大地热流值大于62mW/m2的地区。因此 ,地热异常区内的地热资源大部分已得到开发利用 ,而非地热异常区的地热资源远远没有得到开发利用。非地热异常区面积占平原区总面积的80%以上 ,所蕴藏的地热资源潜力巨大 ,如能得到开发利用 ,必将对地方经济的发展起到极大的推动作用。