Comparison in diversity of eukaryotic algae in surface sediments from different functional sea areas of Qingdao coast,the Yellow Sea,China: a metabarcoding approach

Journal of Oceanology and Limnology - Surface sediment samples were collected in three different functional sea areas in Qingdao coast, East China, including the inner Jiaozhou Bay, the Laoshan...     

Exact solution of entanglement of the double Jaynes—Cummings model without rotating wave approximation

This paper investigates the influences of atom--field coupling and dipole--dipole coupling for atoms on the entanglement between two atoms by means of concurrence. The results show that the sudden death occurs when the atom--field coupling is strong enough, and the collapse and the revival appear when the dipole--dipole interaction is strong enough.     

中国大陆地壳运动与强震关系研究

利用GPS观测结果研究了中国大陆当前地壳运动的空间分布及其所揭示的大区域构造变形背景与趋势;讨论了区域水平运动、应变率场分布与强震地点的关系;通过对昆仑山口西Ms8.1等地震区域水平运动与形变的分析,研究了强震过程的区域形变场变化的主要特征;提出了识别孕震形变场以进行中长期强震地点预测的思路和途径。     

湖北省潮汐形变观测异常及干扰识别

对2003—2013年湖北省数字化定点形变潮汐观测中的突跳、阶变、震颤等异常的分析发现,气象因素对形变潮汐观测的影响复杂:1)不同气压场控制影响形变观测的异常形态不同,但响应频率一致;2)台风对形变观测的秒值和分钟值数据在1～4秒和2～4分钟较高频段均有响应;3)台址条件不同,降雨对形变观测产生的畸变影响不同。影响范围一般在0～全日波频段且存在较大的噪声;4)短时大气温度变化对形变观测有一定影响,会使曲线发生抖动或暂态波动,在64～128分钟和128～256分钟较低频段上有响应。水库冲沙、水库蓄水、土石开挖等环境荷载变化对分钟值观测曲线产生明显阶跃、抖动型实时畸变。人员进洞、施工、仪器标定检修等人为活动对观测曲线的影响可直接识别。     

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内蒙古大克泊碱湖氮移除及其影响因素

为了研究碱湖N₂O释放速率及其对盐度与pH的响应,选取内蒙古大克泊碱湖的五个沉积物样点,采用¹⁵N同位素标记模拟实验,研究反硝化和厌氧氨氧化的速率、相对比例和气体产生情况,揭示高盐和高pH对碱湖氮移除的影响。发现大克泊湖潜在氮移除速率为0~16.06 n mol N mL-1 h-1,潜在反硝化速率为0~12.62 n mol N mL-1 h-1,潜在厌氧氨氧化速率为0~9.81 n mol N mL-1 h-1;当盐度34.00 g·L-1与pH 10.22时,厌氧氨氧化对氮移除贡献较大,达到43.18%~71.79%。反硝化过程气体产物以N₂为主,几乎无N₂O气体释出。另外,该区域潜在氮移除速率与pH呈正相关关系,与TOC、NO-₃、HCO-₃呈负相关关系;未发现氮移除速率与盐度之间的相关关系。因此,在研究的碱湖中,氮移除过程中主要为N₂排放,而N₂O低于检测水平;氮移除过程的影响因素复杂且不限于最主要的环境变量(盐度与pH)。这些结果为研究湖泊N₂O排放提供了数据基础。     

社会满意度调查在城市体检与评估中的应用

回顾满意度的概念内涵,在城市研究中的应用进展基础上,总结了北京城市体检及住建部城市体检工作中满意度调查的实施方案和主要分析结论,梳理了社会满意度调查的特征。研究表明,主观满意度数据相比客观数据更为鲜活,能够准确反映不同群体对城市发展的价值判断与意愿,体现居民的关注点,在分析中与人群属性链接可以深挖不同人群的主要诉求,并且根据体检评估对象情况,灵活设置指标和确定优劣等级,易于发现水平差异和问题短板。未来城市体检中应建立常态化城市体检社会满意度调查工作机制,注重与客观数据、市民热线数据等多源数据的融合,主客观相互印证来指导城市规划及管理,从而提升城市建设精细化水平。     

青海达布逊湖50万年以来气候变化的孢粉学证据

基于青海柴达木盆地达布逊湖达 1井岩芯样品孢粉分析结果,将孢粉谱划分为Q₂ 、Q₃ 和Q₄ 三个孢粉带;并根据孢粉组合特征讨论了过去 5 0万年中研究区植被演化和古气候变化问题。达 1井沉积剖面年龄根据古地磁测定。研究结果表明,柴达木盆地中更新世中、晚期 ( 5 0 0～ 130kaBP)气候可能为暖温带半潮湿型,晚更新世 ( 130～ 10kaBP)气候为温带半干燥型,全新世 ( 10～ 0kaBP)气候为寒温带干燥型。晚更新世气候变化与青藏高原古里雅冰芯所记录的冷暖事件演变基本一致.     

High Contents of Th and U in Late Orogenic Granitoids to Track Lithospheric Delamination：Evidence from Granitoids in Western Kunlun Orogenic Belt,China

Delamination occurs mainly in the lithospheric mantle,involving interaction with the asthenosphere,the process of which is hard to observe directly.our research on granitoids in the western kunlun orogenic belt,China,indicates that high conternts of the heat-producing elements Th and U may furnish lithospheric delamination with new evidence,At the same time,we have established the Th-SiO and U-SiO2 diagrams to discriminate delamination.     

Head/Tail Breaks: A New Classification Scheme for Data with a Heavy-Tailed Distribution

This article introduces a new classification scheme—head/tail breaks—to find groupings or hierarchy for data with a heavy-tailed distribution. The heavy-tailed distributions are heavily right skewed, with a minority of large values in the head and a majority of small values in the tail, commonly characterized by a power law, a lognormal, or an exponential function. For example, a country's population is often distributed in such a heavy-tailed manner, with a minority of people (e.g., 20 percent) in the countryside and the vast majority (e.g., 80 percent) in urban areas. This new classification scheme partitions all of the data values around the mean into two parts and continues the process iteratively for the values (above the mean) in the head until the head part values are no longer heavy-tailed distributed. Thus, the number of classes and the class intervals are both naturally determined. I therefore claim that the new classification scheme is more natural than the natural breaks in finding the groupings or hierarchy for data with a heavy-tailed distribution. I demonstrate the advantages of the head/tail breaks method over Jenks's natural breaks in capturing the underlying hierarchy of the data.