北太平洋副热带东部模态水现在和未来的模拟分析

The present climate simulation and future projection of the Eastern Subtropical Mode Water(ESTMW) in the North Pacific are investigated based on the Geophysical Fluid Dynamics Laboratory Earth System Model(GFDL-ESM2M). Spatial patterns of the mixed layer depth(MLD) in the eastern subtropical North Pacific and the ESTMW are well simulated using this model. Compared with historical simulation, the ESTMW is produced at lighter isopycnal surfaces and its total volume is decreased in the RCP8.5 runs, because the subduction rate of the ESTMW decreases by 0.82×10-6 m/s during February–March. In addition, it is found that the lateral induction decreasing is approximately four times more than the Ekman pumping, and thus it plays a dominant role in the decreased subduction rate associated with global warming. Moreover, the MLD during February–March is banded shoaling in response to global warming, extending northeastward from the east of the Hawaii Islands(20°N, 155°W) to the west coast of North America(30°N, 125°W), with a maximum shoaling of 50 m, and then leads to the lateral induction reduction. Meanwhile, the increased northeastward surface warm current to the east of Hawaii helps strengthen of the local upper ocean stratification and induces the banded shoaling MLD under warmer climate. This new finding indicates that the ocean surface currents play an important role in the response of the MLD and the ESTMW to global warming.     

长牡蛎两个Dmrt家族基因的时空表达

本文以长牡蛎27个幼虫发育阶段个体以及成体的5个组织织作为实验材料,采用实时荧光定量PCR技术对Dmrt家族中的2个基因（CgDsx和CgDmrtA2）的主要对长牡蛎Dmrt家族中的2个基因（CgDsx和CgDmrtA2）在幼虫时期和成体组织中的表达模式以及在性别决定中可能发挥的作用进行了研究。采用实时荧光定量PCR技术对幼虫27个发育阶段以及成体5个组织的表达进行了测定。结果表明,长牡蛎CgDsx基因在胚胎发育初期有大量表达,其中囊胚期到担轮幼虫初期表达量最高从囊胚期到担轮幼虫初期表达量最高,其后之后表达量开始降低,在D形幼虫后期之后一直维持在极低的表达水平,此后仅在成体的雄性性腺中具有高度表达。该结果表明由此可见,CgDsx 可能也对早期胚胎发育起一定调控作用,除了同时参与了性别决定外,可能也对早期胚胎发育起一定调控作用。CgDmrtA2在长牡蛎所有组织中均有表达,各组织间表达差异不显著,在长牡蛎D形幼虫至壳顶后期表达量较高,表明其参与了胚胎中后期的发育过程说明它参与了胚胎中后期的发育过程,可能与神经的形成相关,但是其具体功能还需要进一步研究。     

Single point mooring system modal parameter identification based on empirical mode decomposition and time-varying autoregressive model

A method based on empirical mode decomposition (EMD) and time-varying autoregressive (TVAR) model is proposed here to identify the modal parameters of time-varying systems, such as the Floating Production Storage and Offloading (FPSO) single point mooring system. For the EMD–TVAR method, the original signal is decomposed into a finite number of ‘intrinsic mode functions’ (IMFs) by the EMD. Each IMF can be represented as a TVAR model. Then, the time-varying modal parameters i.e., instantaneous frequency (IF) and modal dumping, can be obtained by the basis functions expansion method. The proposed EMD–TVAR method has good results in two experiments compared with the Huang–Hilbert transformation and Short Time Fourier Transform method, and it has been used to analysis the modal parameters of FPSO single point mooring system successfully. The system's time-varying characteristic and its frequency distribution can be known from the modal analysis results.     

Second-order Taylor expansion boundary element method for the second-order wave radiation problem

A novel Boundary Element Method (BEM) named the second-order Taylor Expansion Boundary Element Method (the 2nd order TEBEM) is developed for the solution of the second-order wave radiation velocity potential and sum-frequency wave loads for floating bodies. The radiation condition is enforced by a hybrid method of the multi-transmitting formula and damping zone. For the interior domain problem of a cube and a sphere, numerical results demonstrate that the 2nd order TEBEM can accurately solve the first and second-order gradients of velocity potential on the no-smoothed and smoothed boundary compared to the low-order BEM. The double frequency forces acting on the truncated cylinder are calculated under finite water depth. The agreement between the 2nd order TEBEM and others' numerical results is good. Moreover, all of the singular integrals in the 2nd order TEBEM can be solved analytically, so its implementation is much easier compared to the high-order BEM.     

基于径向功率谱的风廓线雷达错误风数据处理

选取上海市世博园区站、金山站和嘉定F1赛车场站3个风廓线雷达站2012年3月7日凌晨一次降水过程生成的错误水平风场数据,通过对比该时段高、低模式扫描实时径向功率谱数据,指出在降水初期风廓线雷达软件质量控制出现错误的原因,并重新识别错误时段的功率谱,反演水平风场数据。分析表明:在降水初期由于风廓线雷达各波束探测的数据在空间上不一致,易导致雷达软件采用的质量控制算法并不能全部识别和消除降水对数据的干扰,从而出现偏差。基于风廓线雷达高时空分辨率径向功率谱数据的分析处理方法可有效验证雷达软件质量控制算法,且经过该方法反演后的水平风场更为合理。     

Photometry and the determination of oscillation modes for high amplitude Delta Scuti (HADS) variable GSC 1566-2802

CCD photometry observation of a newly discovered, high amplitude Delta Scuti star GSC 1566-2802, with a visible filter, is presented. The observations were carried out at Alborz Observatory located in Mahdasht, Karaj, Iran.The main goal of this project was to update our knowledge of the periodic variations of the target star. This paper covers three analyses, first calculating a new ephemeris and plotting a new light curve based on 19 times of maxima; then a Fourier analysis of the observed data points which results in determining probable oscillation modes, as well as computing its physical parameters which guide us to its harmonics and pulsation modes.     

鲁西地区浅层地温能地热地质条件与开发利用适宜性评价

在查明区域地热地质条件的基础上,采用层次分析法,对鲁西地区地埋管地源热泵和地下水地源热泵两种方式的开发利用进行了适宜性评价,并按不同类别,将鲁西地区浅层地温能开发划分为适宜区、较适宜区和不适宜区等3个区。该项目对制定长远能源区划,指导浅层地热资源开发利用工作,促进鲁西地区新兴接替能源开发利用具有非常重要的意义。     

松嫩平原含水层沉积物特征及其对砷赋存态分布的影响

松嫩平原西部地区为中国砷中毒区域,含水层沉积物特征及砷赋存态对地下水砷迁移、转化的影响并不清楚。在对研究区高砷区与低砷区钻孔沉积物进行取样的基础上,运用激光粒度分析、Tessier五步提取法和Keon分步提取法分别确定了不同深度沉积物的粒度分布和不同赋存态砷含量,系统研究了沉积物的水力传导系数、不同赋存态砷的分布及其与高砷地下水形成的关系。结果表明:沉积物5种赋存态砷(包括可交换态、碳酸盐吸附态、铁/锰氧化物吸附态、有机物或硫化物吸附态和基质态)中,铁/锰氧化物吸附态砷含量最高,并且砷含量与铁、锰含量呈明显正相关性;高砷区钻孔沉积物铁/锰氧化物吸附态砷质量分数为(1.18~6.11)×10-6,低砷区为(0.67~2.60)×10-6;高砷区钻孔沉积物以粉砂、黏土为主,水力传导系数介于0.004~0.027m·d-1,低砷区钻孔沉积物以细砂、中砂为主,水力传导系数介于0.005~0.2m·d-1;沉积物中粉砂或黏土含量越多,则沉积物颗粒越小,其水力传导系数越低,各赋存态砷含量越高,因此,高砷区低水力传导系数有利于还原环境的形成。通过地下水的循环,高砷含水层沉积物的淋滤作用和铁/锰氧化物的还原性溶解形成了研究区高砷地下水。     

三频BDS电离层延迟改正分析

针对电离层改正会引起观测噪声放大,尤其三频二阶改正致使观测噪声被过分放大的不足,该文分别推导了BDS电离层双频一阶改正、三频一阶改正和三频二阶改正模型及三频载波无电离层组合模型。改正电离层延迟的同时会不同程度地放大观测噪声,为此分析比较了各种方法改正后的观测值精度和观测噪声,并对不同方法的应用进行了分析。     

一种基于复杂环境信息的导航路径动态规划算法

针对现有路径规划算法受复杂环境信息影响较大的原因,该文通过分析环境信息,综合考虑行车的时效性、安全性要求,提出一种动态路径规划辅助决策方法。该方法通过对实时环境信息进行建模和量化处理,得到不同环境特征下的道路实际权重,为路径动态规划提供先决条件;然后利用基于一阶马尔可夫链的动态路径规划算法对路径进行规划,计算出若干可选路径可供驾驶员根据实际情况进行抉择;并通过与静态权值的路径分析算法相比较得到,它能够更好地满足复杂环境信息下最优路径的规划需求,算法效率受环境因素影响较小。