Effects of stocking density on the growth and immunity of Atlantic salmon salmo salar reared in recirculating aquaculture system(RAS)

Atlantic salmon reared in recirculating aquaculture system(RAS) may lead to inappropriately high stocking density, because ?sh live in a limited space. Finding the suitable stocking density of Atlantic salmon reared in RAS is very important for RAS industry. In this paper, the in?uence of stocking density on growth and some stress related physiological factors were investigated to evaluate the ef fects of stocking density. The ?sh were reared for 220 days at ?ve densities(A: 24 kg/m^3; B: 21 kg/m^3; C: 15 kg/m^3; D: 9 kg/m^3 and E: 6 kg/m^3). The results show that 30 kg/m^3 might be the maximum density which RAS can af ford in China. The stocking densities under 30 kg/m^3 have no ef fect on mortality of Atlantic salmon reared in RAS. However, the speci?c growth rate(SGR), ?nal weight and weight gain in the high density group were signi?cantly lower than the lower density groups and middle density groups. Moreover, feed conversion rate(FCR) had a negative correlation with density. Plasma hormone T_3 and GH showed signi?cant decrease with the increase of the stocking density of the experiment. Furthermore, thyroid hormone(T 3), GH(growth hormone) activities were decreased with stocking density increase. However, plasma cortisol, GOT(glutamic oxalacetic transaminase) and GPT(glutamic pyruvic transaminase) activities were increase with stocking density increase. And the stocking density has no ef fects on plasma lysozyme of Atlantic salmon reared in RAS. These investigations would also help devise effcient ways to rear adult Atlantic salmon in China and may, in a way, help spread salmon mariculture in China.     

北斗星地双向时频传递与广广播钟差精度分析

与其他卫星导航系统不同,北斗卫星导航系统采用星地双向时间比对技术,直接测量卫星钟相对于地面保持的系统时间的钟差,并用于广播电文钟差参数的建模。讨论了电离层延迟误差、卫星相位中心误差等不同误差源对不同类型卫星双向时间同步卫星钟差精度的影响。实测数据分析结果表明,星地双向卫星钟差内符合精度(RMS)优于0.15 ns。利用双向卫星钟差序列,对广播星历钟差参数预报精度进行了分析,统计结果显示广播电文钟差参数预报1 h,精度在2 ns以内,移动卫星刚入境时,钟差参数预报6 h误差可达10 ns。     

More than two hundred and fifty thousand spectroscopic binary or variable star candidates discovered by LAMOST

About 786.4 thousand stars were observed by LAMOST twice or more during the first stage of its spectroscopic survey. The radial velocity differences for about 256 thousand targets are larger than10 km s^-1 and they are possible spectroscopic binary or variable candidates(SBVCs). It is shown that most SBVCs are slightly metal poorer than the Sun. There are two peaks in the temperature distribution of SBVCs around 5760 K and 4870 K, while there are three peaks in the distribution of the gravitational acceleration at 2.461, 4.171 and 4.621 cm s^-2. The locations of SBVCs on the [Fe/H]-T, [Fe/H]-log g, log g-T and H-R diagrams are investigated. It is found that the detected SBVCs could be classified into four groups. The first group has higher log g～4.621 and lower T ～ 4870 K which are mainly cool red dwarf binaries. The second group of SBVCs has logg around 4.171 cm s^-2 that includes binaries and pulsating stars such as δSet and γ Dor variables. The gravitational accelerations of the third group of SBVCs are higher and some of them are below the zero-age main sequence. They may be contact binaries in which the primary components are losing energy to the secondaries in the common envelopes and are at a special stellar evolutionary stage.The last group is composed of giants or supergiants with log g around 2.461 cm s^-2 that may be evolved pulsating stars. One target(C134624.29+333921.2) is confirmed as an eclipsing binary with a period of 0.65 days. A preliminary analysis suggests that it is a detached binary with a mass ratio of 0.46. The primary fills its critical Roche lobe by about 89%, indicating that mass transfer will occur between the two components.     

Study of Star/Galaxy Classification Based on the XGBoost Algorithm

Machine learning has achieved great success in many areas today. The lifting algorithm has a strong ability to adapt to various scenarios with a high accuracy, and has played a great role in many fields. But in astronomy, the application of lifting algorithms is still rare. In response to the low classification accuracy of the dark star/galaxy source set in the Sloan Digital Sky Survey (SDSS), a new research result of machine learning, eXtreme Gradient Boosting (XGBoost), has been introduced. The complete photometric data set is obtained from the SDSS-DR7, and divided into a bright source set and a dark source set according to the star magnitude. Firstly, the ten-fold cross-validation method is used for the bright source set and the dark source set respectively, and the XGBoost algorithm is used to establish the star/galaxy classification model. Then, the grid search and other methods are used to adjust the XGBoost parameters. Finally, based on the galaxy classification accuracy and other indicators, the classification results are analyzed, by comparing with the models of function tree (FT), Adaptive boosting (Adaboost), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Stacked Denoising AutoEncoders (SDAE), and Deep Belief Nets (DBN). The experimental results show that, the XGBoost improves the classification accuracy of galaxies in the dark source classification by nearly 10% as compared to the function tree algorithm, and improves the classification accuracy of sources with the darkest magnitudes in the dark source set by nearly 5% as compared to the function tree algorithm. Compared with other traditional machine learning algorithms and deep neural networks, the XGBoost also has different degrees of improvement.     

地震预警断层参数实时识别方法(FinDer)详解及其性能初步评价

详细阐述了美国加州ShakeAlert地震预警系统中使用的断层破裂参数实时测定方法(FinDer FinDer:Finite Fault Rupture Detector)的技术细节.利用1999年集集Mw7.6级地震、2008年汶川Ms8.0级地震及2013年芦山Ms7.0级地震,以及日本K-NET台网记录的80次中...     

基于CFD的单个建筑物风场模拟参数选择

运用流体力学软件FloEFD对沽源单个建筑物周围的风场进行数值模拟。通过不断改变模型中计算参数的设置进行一系列模拟试验,对比模拟试验结果,并与观测资料进行比较,分析不同计算参数对模拟结果的影响,并获得适用于该模型的最佳参数。主要研究的计算参数包括计算域高度,初始网格等级,局部初始网格等级和不同平均风速剖面形式。结果表明:计算域高度从3倍建筑物高度开始,空腔区的长度、漩涡中心位置以及再发展区的边界位置基本保持稳定。随着初始网格等级的增加,空腔区的长度、再发展区的边界位置及计算时间逐渐增大。局部初始网格等级对模拟结果影响不显著。以两种不同平均风速剖面形式进行模拟,迎风漩涡长度不同,背风面影响不大。与观测资料比较显示,最优参数组合为:计算域高度为3倍建筑物高度,初始网格等级为4、局部初始网格等级为4、平均风速剖面形式为指数律。     

周期性饥饿对褶皱臂尾轮虫实验种群特征参数的影响

实验设置了一直投喂、周期性饥饿1,2,3,4d和一直饥饿6个处理组,采用轮虫单个体培养,检验周期性饥饿对褶皱臂尾轮虫(Brachionus plicatilis)实验种群特征参数的影响.结果表明:一直投喂组的生殖价最高,对轮虫种群的潜在增长最有利,随饥饿强度的增大,生殖价减小.不同处理下,轮虫个体寿命与其生殖期之间存在显著的正相关(r=0.747).轮虫在受到饥饿后,寿命略有增长,但不同处理对轮虫的平均寿命(10.8~13.1d)和生殖期(6.3~8.3d)均未达到显著差异(P>0.05).饥饿强度增大时,轮虫个体的总产幼数、总产卵量显著下降(P<0.05),产第1幼、最后1幼、第1卵、最后1卵时间显著延长(P<0.05);同时,种群参数的世代时间(T)随饥饿强度增加而增大,内禀增长率(r_m)、周限增长率(λ)和净生殖率(R₀)却明显下降.     

海洋天然气水合物调查地震采集技术——调查初始阶段研究

地震调查方法在水合物中的应用分为两个主要阶段:调查初始阶段和调查深入阶段。调查初始阶段以“突出天然气水合物的四大主要识别标志(似海底反射、振幅空白带、穿层特征、振幅和速度结构异常)”为主要目的,为资料的处理、解释提供丰富的地震信息。从而圈定天然气水合物富集程度高、成藏条件好的“目标”靶区,开展深入调查,更好地展现“天然气水合物矿体立体上的形态特征”,了解“水合物矿体的厚度、顶底界面及富集程度”。文中从震源技术研究、高分辨率地震调查技术的调谐组合参数研究和野外施工方法等方面的内容出发,根据大量野外技术试验资料和有关科研成果,总结了在天然气水合物调查初始阶段的特点及相应的地震调查技术。     

基于计算机视觉的相机标定方法

随着航空摄影测量及倾斜摄影技术的不断推广,其相机传感器受内在及外在因素的影响,使得相机畸变参数的准确性并不是稳定如一,因而极大限制了数据处理的效率.针对这一问题,本文以解决相机畸变参数的准确性作为出发点,从相机成像原理出发,分析相机成像中的误差,介绍相机标定的方法,对相机标定进行实验分析,以达到准确标定相机参数的目的,...     

姚安地震序列与大姚地震序列震源参数的对比研究

2000年1月15日在云南省姚安县发生了M_S6.5地震, 2003年7月21日和10月16日在云南省大姚县发生了M_S6.2、 M_S6.1地震。 这两个地震序列均发生在滇中块体, 震中位置相距42.5 km, 构造、 应力背景相似, 但序列类型不同, 时间间隔短。 为深入研究姚安地震和大姚地震序列的特征, 根据昆明区域数字台网记录的数字地震波资料, 利用遗传算法计算了2000年姚安地震和2003年大姚地震序列的震源参数。 研究结果表明, 姚安地震序列和大姚地震序列的地震矩和近震震级有很好的线性关系, 它们的地震矩M₀均在10¹²~10¹⁴ N·m, 地震矩与震源半径之间呈线性关系。 应力降随震级变化不明显。 拐角频率和地震矩之间有明显的依赖关系, 用最小二乘法拟合拐角频率和地震矩的关系式, 利用此关系式可计算出给定地震矩的拐角频率估计值f_a, 进而可分析实际计算的拐角频率与估计值之差(f_c-f_a)的时间变化曲线。 姚安地震序列和大姚地震序列实际计算的拐角频率与估计值之差(f_c-f_a)及应力降随时间的变化表现出了不同的特征: 姚安地震序列的应力降和拐角频率差值在4.3级和4.6级强余震前均有一个上升-下降过程, 反映余震区应力场有一个增高-下降过程; 大姚地震序列应力降和拐角频率差值在M_S≥4.6强余震发生之前均会出现高值异常, 但在M_S4.6～4.7地震之前出现的高值异常持续时间短, 在M_S6.1地震前出现的高值异常持续较长。 文中结合两个地震的发震构造, 序列类型等特征进行了分析讨论。