一种基于相对梯度法的海水温度分层模型

提出了一种以海表面温度为输入参数的海水温度分层模型。以2005—2012年的Argo气候态数据集与Argo浮标数据为基础,采用相对梯度法对海水温度垂向结构进行了分层,并据此获取了各层拟合方程所需的参数,包括:混合层深度、混合层梯度、温跃层上界深度、温跃层下界深度、深层大洋起始深度以及方程拟合系数。本文通过世界大洋数据库09版的CTD、XBT实测剖面数据对模型进行了检验。检验结果表明,该模型可以有效地对海水温度结构进行模拟,特别是400m以上的中上层大洋。模拟结果的总体均方根差(RMSE)为0.778℃,而在水深400m以上的中上层区域误差为0.494℃。     

Analysis of fatty acid composition of sea cucumber Apostichopus japonicus using multivariate statistics

Fatty acids （FAs） provide energy and also can be used to trace trophic relationships among organisms. Sea cucumber Apostichopus japonicus goes into a state of aestivation during warm summer months. We examined fatty acid profiles in aestivated and non-aestivated A. japonicus using multivariate analyses （PERMANOVA, MDS, ANOSIM, and SIMPER）. The results indicate that the fatty acid profiles of aestivated and non-aestivated sea cucumbers differed significantly. The FAs that were produced by bacteria and brown kelp contributed the most to the differences in the fatty acid composition of aestivated and non- aestivated sea cucumbers. Aestivated sea cucumbers may synthesize FAs from heterotrophic bacteria during early aestivation, and long chain FAs such as eicosapentaenoic （EPA） and docosahexaenoic acid （DHA） that produced from intestinal degradation, are digested during deep aestivation. Specific changes in the fatty acid composition of A. japonicus during aestivation needs more detailed study in the future.     

Thickness distribution and extent of sea ice and snow in Prydz Bay and surrounding waters observed in 2012/2013 austral summer

Three ship-based observational campaigns were conducted to survey sea ice and snow in Prydz Bay and the surrounding waters(64.40°S–69.40°S, 76.11°E–81.29°E) from 28 November 2012 to 3 February 2013. In this paper, we present the sea ice extent and its variation, and the ice and snow thickness distributions and their variations with time in the observed zone. In the pack ice zone, the southern edge of the pack ice changed little, whereas the northern edge retreated significantly during the two earlier observation periods. Compared with the pack ice, the fast ice exhibited a significantly slower variation in extent with its northernmost edge retreating southwards by 6.7 km at a rate of 0.37 km?d-1. Generally, ice showed an increment in thickness with increasing latitude from the end of November to the middle of December. Ice and snow thickness followed an approximate normal distribution during the two earlier observations(79.7±28.9 cm, 79.1±19.1 cm for ice thickness, and 11.6±6.1 cm, 9.6±3.4 cm for snow thickness, respectively), and the distribution tended to be more concentrated in mid-December than in late November. The expected value of ice thickness decreased by 0.6 cm, whereas that of snow thickness decreased by 2 cm from 28 November to 18 December 2012. Ice thickness distribution showed no obvious regularity between 31 January and 3 February, 2013.     

Thermodynamic properties of snow cover on sea ice during the austral summer in Prydz Bay,East Antarctica

The thermodynamic properties of snow cover on sea ice play a key role in the ice-ocean-atmosphere system and have been a focus of recent scientific research. In this study, we investigated the thermodynamic properties of snow cover on sea ice in the Nella Fjord, Prydz Bay, East Antarctica(69°20′S, 76°07′E), near the Chinese Antarctic Zhongshan Station. Our observations were carried out during the 29th Chinese National Antarctic Research Expedition. We found that the vertical temperature profile of snow cover changed considerably in response to changes in air temperature and solar radiation during the summer. Associated with the changes in the temperature profile were fluctuations in the temperature gradient within the upper 10 cm of the snow cover. Results of previous research have shown that the thermal conductivity of snow is strongly correlated with snow density. To calculate the thermal conductivity in this study, we measured densities in three snow pits. The calculated thermal conductivity ranged from 0.258–0.569 W?m-1?K-1. We present these datasets to show how involved parameters changed, and to contribute to a better understanding of melting processes in the snow cover on sea ice.     

信息物理系统研究与应用综述

信息物理系统是以信息世界与物理世界的紧密结合为显著特征的,集计算、通信与控制为一体的网络系统。首先介绍信息物理系统的起源与发展。比较分析几个比较有代表性的信息物理系统定义,给出对信息物理系统的概念的理解与定义。在文献梳理的基础上,总结信息物理系统的主要特征。简要介绍3个典型的信息物理系统应用方案,即智能电网、生物与医疗、智能高速公路与无人驾驶。最后总结信息物理系统研究与应用中所面临的挑战,提出今后信息物理系统可能的研究热点。为更好地了解信息物理系统相关知识,为信息物理系统领域的研究提供有价值的参考。     

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基于空间综合分析的长株潭城市群结构评价与优化策略

长株潭城市群空间特征及优化策略可作为我国多中心城市群空间优化的典型样本之一.本文运用多维度空间分析方法,对长株潭城市群空间展开现状测度与评价,尊重城市群阶段特征,选取针对性指标对比反映空间内在特征.在采用核密度法分析2013年和2017年湖南省152个区县第二产业与就业指标的空间变化后,得出长株潭城市群已初步形成空间—...     

江苏南部汛期降水日变化特征分析

利用江苏南部20个气象观测站2008—2012年汛期(5—10月)逐小时降水资料,应用降水频率来分析了江苏南部地区降水日变化基本特征和区域差异。研究表明:降水日变化特征地域性差异较强,西部站、东部站和东北沿海站都存在一定的特征差异。东部站降水量的最大值主要出现在下午和傍晚;西部站降水量主峰值出现在下午,并且在清晨和夜间还有两个次峰值;东北沿海站呈现出午前、午后的双峰值形式。2008—2011年降水量下午高值区有先减弱后增强并提前的趋势,而上午的高值区有总体减弱并推迟的特征。2011年后有明显减弱的趋势。江苏南部总体来说,短时强降水(大于20和25 mm/h)在16—19时出现主峰值,07—09时也有相对较小的次峰值。