随机振动功率谱复现迭代算法的研究

采用功率谱复现迭代算法,依据系统的频率特性,对驱动信号进行迭代补偿,使得系统的响应谱能够高精度地复现期望谱。基于对影响随机振动功率谱复现精度因素的分析,提出在不同频段采用不同迭代步长的驱动谱迭代算法,给出了算法的程序框图,并通过试验验证了算法的有效性。     

异硫氰酸苄酯(BITC)防污损效果研究──对3种海洋细菌的抑菌作用

异硫氰酸苄酯（ＢＩＴＣ）的抑菌试验表明：ＢＩＴＣ对３种海洋细菌（假单胞菌Ｐｓｅｕｄｏｍｏｎａｓｓｐ．Ｔ１０８株,假单胞菌Ｐｓｅｕｄｏｍｏｎａｓ．ｓｐ．Ｅ２０４株和异单胞菌Ａｌｔｅｒｍｏｎａｓ．ｓｐ．Ｅ１１３株）的完全抑制浓度分别为４．０,１．０和２．０ｍｇ／Ｌ,５０％抑制该３种海洋细菌生长（相对生长率）的浓度分别为２．６７,０．３７和０．４４ｍｇ／Ｌ。     

大别山太湖—马庙断裂带两侧变质地体的增温变质作用

大别山榴辉岩地体以太湖马庙断裂带为南界。该断裂带近东西走向, 向南倾斜。通过对石榴石中 Ｍｇ 含量由核部向边缘增高的生长环带构造的分析和详细的 Ｐ Ｔ 轨迹的计算表明, 断裂带北侧的榴辉岩和南侧的角闪岩及角闪片麻岩均经历了降压增温变质过程。热榴辉岩由地幔深处的折返和地温梯度的升高为可能的热源。     

金昌市尾矿沙漠化土地的综合治理

金昌市是我国镍铜的主要生产基地,生产过程中排放出大量的尾矿沙严重污染了周围环境。在分析了金昌市尾矿沙漠化土地形成的条件及其现状之后,采用砾石覆盖与人工植被建立等综合治理方案,5年实践结果充分证实此方案的可行性,并取得了良好的治理效应。     

Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas

Journal of Oceanology and Limnology - Glycogen, amino acids, fatty acids, and other nutrient components affect the flavor and nutritional quality of oysters. Methods based on near-infrared...     

利用横波分裂到时差确定北美夏洛特皇后群岛岩石圈各向异性分层参数

本文收集到北美夏洛特皇后群岛VIB和DIB台站2005年1月1日至2014年12月31日2700余条近震三分量横波观测记录.经严格筛选提取到55条35°横波窗内的快慢波到时差值.通过建立到时差与多界面横波分裂路径关系,实现了对横波不同深度分裂界面的可靠识别和深度确定.依据对横波到时差及归一化到时差的分析结果,确认地处俯冲带的夏洛特皇后群岛的地震各向异性分别存在于该地区的上层陆壳、中层洋壳俯冲带及俯冲带底部或下层岩石圈顶部附近.发现除地幔岩石圈外,上两个分层的各向异性强度由北向南减弱,同时向西运动的洋壳俯冲带向南加深.不仅如此,归一化到时差结果显示该地区2012年M7.8强震前后各向异性强度减弱,但在3个各向异性层存在较大差异.无论在分层界面较浅的北部格雷厄姆岛附近还是在分层界面较深的南部莫尔兹比岛附近,强震后最上层的陆壳和最下层地幔岩石圈的各向异性强度均没有变化.M7.8后各向异性减弱全部发生在中层洋壳俯冲带内.并且,距离强震震中越近各向异性强度减弱越大,在一定程度上揭示出强震前后应力变化的空间分布特征.表明该地区洋壳俯冲是引起M7.8强震和现今构造运动的主要动力源.     

近十年地震预测的国际研究进展

跟踪和总结地震预测在国际上的研究进展,是调整优化我国自主进行与地震预测相关的科学研究和推进学科建设的重要方式之一。为反映近10年来国际上地震预测研究的进展与变化趋势,通过文献计量学分析、国际科学研究计划介绍和主要研究成果总结等方式,给出我国地震预测相关研究在国际研究体系中可能的位置,并概括了近10年来在全球性科学研究计划主导下国际上取得的主要科学进展,包括预测模型研发、提升预测可操作性、拓展地震减灾应用等方面,极大地丰富了地震预测相关学科的科学内涵并融入经济社会发展的成效,这些将对我国地震预测相关科学研究有着重要的启发意义。     

柴达木盆地西台吉乃尔盐湖沉积的年代学研究

柴达木盆地中部西台吉乃尔盐湖成因及其年代框架还存在争议。通过应用光释光测年法（OSL）和放射性碳测年法（AMS¹⁴C）测定两支分别来自该盐湖中部及东部边缘区域的岩芯,获得4个OSL和5个AMS¹⁴C年代数据。结果表明：（1） 对于老于30 ka的样品放射性碳测年法存在明显的年代低估,而对于年轻样品则存在约4.0 ka的碳库效应,相对而言光释光测年方法具有一定的合理性。（2） 两支岩芯顶部粉砂质粘土层形成于约0.3 ka,中部含粉砂质粘土盐层形成于大约4.0 ka,底部粉砂质粘土层则至少形成于70 ka 之前。     

Plant water use strategies in the Shapotou artificial sand-fixed vegetation of the southeastern margin of the Tengger Desert,northwestern China

Stable oxygen and hydrogen isotopic compositions(δ~(18)O and δD) of plant xylem water and its potential water sources can provide new information for studying water sources, competitive interactions and water use patterns of plants. The contributions of different water sources to three plants, Hedysarum scoparium(HS), Caragana Korshinskii(CK) and Artemisia ordosica(AO), were investigated in the artificial sand-fixed vegetation of Shapotou, the southeastern margin of the Tengger Desert of northwestern China, based on meteorological data and δ~(18)O and δD values of precipitation, groundwater, soil water and xylem water of HS, CK and AO. Our results indicated that soil water infiltration through precipitation was the main water source of the artificial sand-fixed vegetation. Obvious differences in soil water content and in δ~(18)O of soil water and xylem water were found among different seasons. No relationship was found between the δ~(18)O in plant xylem water and in soil water in January. The same water use patterns were found in CK, HS and AO in May, suggesting they have the same water sources. The different water sources of CK, HS and AO in August indicate that water competition occurred. In addition, the main water sources of CK, HS and AO in August mainly come from shallow soil water, while they use relatively deep soil water in May. This phenomenon is related to the differences of soil water content throughout soil profile, precipitation, transpiration and water competition under different growth periods. The water use patterns of CK, HS and AO respond to soil water content throughout the soil profile and their competition balance for water uptake during different growth season. The results indicate that these sandfixed plants have developed into a relatively stable stage and they are able to regulate their water use behavior as a response to the environmental conditions, which reinforces the effectiveness of plantation of native shrubs without irrigation in degraded areas.     

A deep learning approach for detecting candidates of supernova remnants

Detecting supernova remnant(SNR) candidates in the interstellar medium is a challenging task because SNRs have weak radio signals and irregular shapes. The use of a convolutional neural network is a deep learning method that can help us extract various features from images. To extract SNRs from astronomical images and estimate the positions of SNR candidates, we design the SNR-Net model composed of a training component and a detection component. In addition, transfer learning is used to initialize the network parameters, which improves the speed and accuracy of network training. We apply a T-T plot(of the different brightness temperatures of map pixels at two different frequencies) to calculate the spectral index of SNR candidates. To accelerate the scientific computing process, we take advantage of innovative hardware architecture, such as deep learning optimized graphics processing units, which increases the speed of computation by a factor of 5. A case study suggests that SNR-Net may be applicable to detecting extended sources in the images automatically.