Genetic parameter estimation for juvenile growth and upper thermal tolerance in turbot (Scophthalmus maximus Linnaeus)

Twenty-six half-sib groups(53 full-sib families) of turbot, Scophthalmus maximus Linnaeus, were obtained by artificial insemination. We measured growth in the offspring(40–50 individuals/family) and subjected them to a thermal tolerance challenge over a period of 34 d. There was no significant difference in daily mortality(range: 0.580%–1.391%) between Days 1–13 during the thermal tolerance challenge. However, daily cumulative mortality increased rapidly between Days 14 and 29, especially on Days 15 and 16(20.232% and 34.377%, respectively). Mortality was highest on Day 16(14.145%). We estimated the genetic parameters using the average information restricted maximum likelihood method. We used a likelihood ratio test to evaluate the significance of effects in models with and without identity as an effect, and compared the final log-likelihoods(maximum log L). Lastly, we estimated phenotypic and genetic correlation between the upper thermal tolerance limit(UTT) and body weight(BW). In this study, the positive phenotypic correlation was low between UTT and BW(0.093±0.029). The genetic correlation between UTT and BW was negative(-0.044±0.239). The heritability for upper thermal tolerance was low(0.087±0.032), which is of approximately moderate heritability. The heritability for body weight was high(0.303±0.074). Our results suggest there is significant potential for improvement in the culture of turbot by selective breeding.     

基于无人机影像样本的遥感图像分类方法

对于遥感图像计算机自动分类而言,样本选择至关重要,直接影响分类结果精度。为了提升样本选取的质量,本文在实验区卫星影像覆盖范围内选取了几个样本点。对每个样本点利用无人机采集了约0.3 km2的数据,通过后期处理生成正射影像。在正射影像中选取耕地、植被、水体、建筑和道路等几类地物的样本,采用最大似然值法对卫星影像进行相应类别信息提取。实验结果表明：在无人机高分辨率影像上解译的样本作用于卫星遥感影像,并利用最大似然值法进行信息提取,其方法可行,分类精度优于在卫星影像上选择的样本。     

0917号台风“芭玛”折向东南向移动原因分析

利用NCEP全球数据同化系统(GDAS)1°×1°分析资料,对0917号台风"芭玛"折向东南向移动原因进行了分析。结果表明,中高纬度环流调整是"芭玛"折向东南向移动的根本原因;0918号台风"茉莉"通过改变外围环境场的强度、形状对"芭玛"台风产生间接影响,而两台风之间逆时针互旋以及台风"茉莉"外围强大的环流对台风"芭玛"的直接作用是台风"芭玛"折向东南向移动的关键。对台风"芭玛"经纬向UV最大风速变化诊断分析表明,"芭玛"经纬向UV最大风速中心的转移对"芭玛"折向东南向移动有重要影响,经纬向UV最大风速差的变化对"芭玛"转向具有预示作用,经纬向最大风速差的合成风方向与台风中心未来移动方向有一定的关系。     

Risk Analysis of Breakwater Caisson Under Wave Attack Using Load Surface Approximation

A new load surface based approach to the reliability analysis of caisson-type breakwater is proposed. Uncertainties of the horizontal and vertical wave loads acting on breakwater are considered by using the so-called load surfaces, which can be estimated as functions of wave height, water level, and so on. Then, the first-order reliability method（FORM） can be applied to determine the probability of failure under the wave action. In this way, the reliability analysis of breakwaters with uncertainties both in wave height and in water level is possible. Moreover, the uncertainty in wave breaking can be taken into account by considering a random variable for wave height ratio which relates the significant wave height to the maximum wave height. The proposed approach is applied numerically to the reliability analysis of caisson breakwater under wave attack that may undergo partial or full wave breaking.     

京西北地区地应变观测与小震震源机制解一致性研究

以京西北地区作为研究区域,采用应变参数方法解算定点地应变观测数据,将所得应变参数时间序列作为研究对象,利用该结果与研究区内同期小震震源机制解进行一致性分析,研究得出呈拉张性质的定点观测最大主应变方位与震源机制解最大拉张变形方向（T轴）水平投影具有良好的对应性,整体以NNW—NE向为主,且自西向东排布的测点最大主应变方位与震源机制解最大拉张变形方向均表现为逐渐东向偏移的趋势,与华北平原块体北部发生顺时针旋转活动的特征相吻合,结果进一步检验了地应变观测反映区域应变场信息的能力。     

井地2.5维DC反演研究

开展了不同观测方式的井地2.5D直流电阻率反演研究。①从2.5维直流电阻率满足的边值问题出发,采用变分原理结合节点线性基函数推导了2.5维井地DC满足的积分弱解形式;②构建了二阶最大平滑稳定泛函的2.5维井地直流电阻率正则化目标函数,采用共轭梯度算法对正则化目标函数进行最优化求解,并采用逐步衰减正则化因子的求解策略来提高反演的稳定性;③设计了均匀半空间模型得到的数值解与解析解对比,电位的相对误差在2%以内,阐述正演算法的正确性和高精度。另外,分析了不同观测装置的2.5维井地直流电阻率异常体特征,并对不同观测方式对2.5维井地DC理论数据进行反演研究。研究结果表明,井中数据的引入提高了2.5DC对纵向探测的分辨率能力,同时提高了2.5DC反演有效性以及准确性。     

诸城发现世界规模最大的恐龙足迹群

日前,一处大规模恐龙足迹群在山东省诸城市皇华镇大山社区皇龙沟被发现,经中国科学院、中国地质科学院恐龙专家现场勘验证实,这是目前世界上已发现的规模最大的恐龙足迹群,是诸城继发现世界最大规模恐龙化石群之后的又一重大发现。     

桥梁水平位移混沌特征识别与神经网络预测研究

跨海大桥系统受外界影响扰动,其变形伴有混沌现象发生.对桥梁变形监测数据实现了混沌识别,运用C-C法计算时间序列的延迟时间,用G-P方法求得最佳嵌入维数,通过求取的时间延迟和最佳嵌入维数对桥梁变形监测数据进行相空间重构,为混沌时间序列预测模型的建立奠定基础;基于RBF神经网络建立混沌时间序列预测模型,对实测数据进行桥梁变...     

采用变系数回归模型提取GPS坐标序列季节性信号

提出采用变系数回归模型提取连续GPS坐标序列中包含的振幅时变季节性信号。对模拟数据及实际GPS坐标序列两组数据的分析结果表明,变系数回归模型在提取GPS坐标序列季节信号方面比传统模型更有效。经处理,GPS坐标序列能获得更合理的速度及噪声估计。     

山区县地质灾害防治方法的探索

改革开放以来,经济社会快速发展,但一些地区的生态环境却遭到了破坏,空气、水、土壤等环境资源受到严重污染,全球气候变暖,强降雨等恶劣天气时有发生,地质灾害也防不胜防,世界各地时有发生重大地质灾害事件,地质灾害区域部分人的生命财产遭受巨大损失。加大地质灾害防治工作力度,尽最大能力避免或降低地质灾害造成的损失,是国土资源部门的工作内容,也是各级人民政府的重要职责。既要加强地质灾害隐患点的巡查监测工作,更要加大地质灾害隐患点的治理工作力度,确保人民生命财产的安全。