塔里木盆地西部古盐岩同位素地球化学与成钾预测研究

我国钾盐资源紧缺，寻找优质大型钾盐矿床一直是国家资源普查的重要目标这一。塔里木盆地在其地史发展过程中，曾与广海相通，多期海水的侵入和间断，以及适宜的构造、古地里环境具备成钾的基本地质条件，因此一直被列为我国寻找古钾矿的重点地区。为了更准备地判断其成盐的海陆相特征，即成盐物质的主要来源，以及岩盐沉积之前的古卤水蒸发浓缩阶段，预测更有前景的成钾远景区，论文选择了蒸发岩沉积序列中的石膏及石盐矿物，分别分析了其硫同位素及氯同位素分布特征。结果表明，非还原环境下沉积的石膏硫同位素可以准确判断盐岩沉积的海相、陆相和海陆交互沉积特征，氯同位素可以判断岩盐的沉积阶段。应用这两个同位素新指标分析，塔里木盆地西部喀什次级构造凹陷晚白垩世盐岩沉积接近海相沉积类型，而且岩盐沉积阶段较晚，是一最有利成钾远景区。     

非稳腔主动式直接获取纳秒近似无衍射贝塞尔绿光

通过对基于轴棱锥的贝塞尔谐振腔和贝塞尔-高斯谐振腔的研究,设计了一台腔内倍频Nd:YAG纳秒近似无衍射贝塞尔绿光激光器. 非稳激光器谐振腔由轴棱锥和凸面镜组成. 实验采用单灯脉冲抽运激光增益介质Nd:YAG晶体,倍频晶体选用KTP. 当抽运电压为350 V时,由主动式直接产生纳秒近似零阶贝塞尔绿光,其脉冲宽度为55.1 ns,波长为532 nm,线宽为0.8 nm,近似无衍射零阶贝塞尔绿光的中心光斑直径为192 μm. 利用Fresnel-Kirchhoff 衍射积分和Fox-Li迭代法,通过数值计算得出     

Difference-frequency ultrasound generation from microbubbles under dual-frequency excitation

The difference-frequency (DF) ultrasound generated by using parametric effect promises to improve detection depth owing to its low attenuation, which is beneficial for deep tissue imaging. With ultrasound contrast agents infusion, the harmonic components scattered from the microbubbles, including DF, can be generated due to the nonlinear vibration. A theoretical study on the DF generation from microbubbles under the dual-frequency excitation is proposed in formula based on the solution of the RPNNP equation. The optimisation of the DF generation is discussed associated with the applied acoustic pressure, frequency, and the microbubble size. Experiments are performed to validate the theoretical predictions by using a dual-frequency signal to excite microbubbles. Both the numerical and experimental results demonstrate that the optimised DF ultrasound can be achieved as the difference frequency is close to the resonance frequency of the microbubble and improve the contrast-to-tissue ratio in imaging.     

气候和人为因素对植被变化影响的评价方法综述

系统评价气候变化和人为因素引起的植被退化,对有效开展生态工程建设、实现生态环境的可持续发展具有重要意义。目前绝大多研究主要分析气候因素对植被变化的影响,分析气候因素和人类活动对植被变化的双重影响少有研究。本文主要介绍这一双重影响对植被变化的贡献程度的主要研究方法——定性-半定量法、回归分析法、残差趋势法、基于净第一生产力的评价方法。综述分析了气候和人为因素对植被变化驱动的主要结论,总结目前各研究方法存在的问题,提出了未来需要重点加强气候和人为因素对植被变化驱动因素的分解研究,加强模型评价和不确定性量化研究等。     

Accumulation of petroleum hydrocarbons and heavy metals in clams （Ruditapes philippinarum） in Jiaozhou Bay, China

Accumulation and distributions of aliphatic and polyaromatic hydrocarbons (PAHs) and heavy metals were measured in tissues of the clam Ruditapes philippinarum collected from 5 sites in Jiaozhou Bay, Qingdao, China. The concentrations of total aliphatic hydrocarbon and PAHs ranged from 570 to 2 574 ng/gdw (gram dry weight) and from 276 to 939 ng/gdw, in the most and least polluted sites, respectively. The bio-accumulation of hydrocarbons and PAHs in the clams appeared to be selective. Aliphatic hydrocarbons were predominantly represented by short chain (<nC₂₃) n-alkanes, suggesting that petroleum hydrocarbons were likely the major contamination source. The selective uptake of 3 and 4 ring PAHs, such as naphthalene, fluorene, phenanthrene, fluoranthene and pyrene, by the clams was probably related to the physiological and bio-kinetic processes that were energetically favorable for uptake of compounds with fewer rings. Accumulation of the metals Cd, Cu, Zn, Pb, Cr, Hg, and As in the clam tissues also showed high variability, ranging from 0.043 to 87 μg/gdw. Among the 7 detected metals, Zn, Cd, Cu, and As had a particularly high potential of accumulation in R. philippinarum. In general, a positive correlation was found between the tissue concentrations and sediment concentrations of hydrocarbons and of some metals. Our study suggests that moderate contamination with polyaromatic hydrocarbons, and low to moderate contamination with metals, currently exists for clam R. philippinarum in Jiaozhou Bay, in comparison with other regional studies. A long-term monitoring program is certainly needed for assessment of the potential ecological influence and toxicity of these contaminants of R. philippinarum in Jiaozhou Bay.     

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利用背景噪声的分形方法监控台站观测系统运行状态

使用全国23个国家测震台站和17个实验台站地震计记录的背景噪声数据,研究特定尺度(限定频带内)的背景噪声特性,分析利用分形方法监测台站观测系统运行状态的可行性。结果表明,分形方法具有较强的时域性,定量化程度高、抗干扰能力强,基本不受观测系统参数约束,可用于台站观测系统运行状态检测,减少正常记录瞬间中断和引入人为干扰的情况。     

改进的P-SVM支持向量机与遥感数据分类

本文介绍了将P-SVM算法引入多光谱/高分辨率遥感数据的分类, 并且展示了卫星ASTER和航空ADS40数字影像分类的技术过程和结果验证。结果表明：P-SVM方法的分类精度不低于SVM, 并减少了时耗。     

遥感数据处理中的现代人工智能方法

数字遥感卫星技术和地面数字处理技术开始于20 世纪60 年代, 以1974 年成功发射的陆地卫星和获取的MSS 多光谱遥感数据为标志, 开启了40 多年数字图像处理方法的探索之路, 不断地将遥感数据转化为有用的信息和知识, 在帮助人类勘察资源能源, 增加社会财富积累, 应对自然灾害与全球环境变化, 实现经济社会与自然和谐发展等方面发挥了重要的作用。从20 世纪90 年代开始, 学界针对遥感数据表现出来的非线性问题, 不断探索新的模型, 引入最新的数学成果, 其中遥感数据智能处理算法与系统集成经历了10 多年的积累, 成为现代遥感图像处理方法的重要组成部分。