基于ROMS和4DVAR的沿轨与网格化SSH数据同化效果评价   总被引：1，自引：1，他引：0  

周超杰  丁效华  张杰  杨俊刚  马强 《海洋学报(英文版)》2018,37(9):50-58

Remote sensing products are significant in the data assimilation of an ocean model. Considering the resolution and space coverage of different remote sensing data, two types of sea surface height(SSH) product are employed in the assimilation, including the gridded products from AVISO and the original along-track observations used in the generation. To explore their impact on the assimilation results, an experiment focus on the South China Sea(SCS) is conducted based on the Regional Ocean Modeling System(ROMS) and the four-dimensional variational data assimilation(4 DVAR) technology. The comparison with EN4 data set and Argo profile indicates that, the along-track SSH assimilation result presents to be more accurate than the gridded SSH assimilation, because some noises may have been introduced in the merging process. Moreover, the mesoscale eddy detection capability of the assimilation results is analyzed by a vector geometry–based algorithm. It is verified that, the assimilation of the gridded SSH shows superiority in describing the eddy's characteristics, since the complete structure of the ocean surface has been reconstructed by the original data merging.  相似文献   

基于VSD模型的铁山港湾红树林生态系统脆弱性初步评价   总被引：2，自引：0，他引：2  

李小维  黄子眉  陈剑锋  王欣  韦江玲 《热带海洋学报》2018,37(2):47-54

基于脆弱性域图 (vulnerability scoping diagram, VSD)评价模型, 从暴露程度、敏感性、适应能力3个方面构建了红树林生态系统脆弱性评价指标体系。采用改进的综合指数法和模糊综合评价法, 重新定义脆弱性分级标准, 定量评价了铁山港湾红树林生态系统在1989年、2003年和2014年3个年份的脆弱性水平。结果显示, 铁山港湾红树林生态系统在3个年份的脆弱性水平值分别为0.145、0.255、0.334, 呈现增加趋势。首先, 铁山港湾红树林生态系统面临的暴露程度不断增大, 主要胁迫因子为滩涂围垦面积、废水排放量; 其次, 生态系统的敏感性增强, 主要敏感因子是海洋生物质量综合指数、底栖生物和潮间带生物多样性指数; 第三, 生态系统的适应能力略有增加, 总体上较弱。  相似文献   

海水中铯-137的γ能谱测量不确定度评估     

魏计房  邓春梅  王荣元  王伟  张馨星  姚海燕  张蒙蒙  丁凯 《海洋学报》2018,40(8):20-28

为科学评价测量结果的可靠性，对海水中137Cs γ能谱分析方法的不确定度进行了评估。根据《化学分析中不确定度的评估指南》，分析不确定度的来源并逐一对各不确定度分量进行了量化，最终计算了合成相对标准不确定度。结果表明，影响海水中137Cs γ能谱测量不确定度的因素分别为样品源137Cs峰区计数、标准源活度、取样体积、化学回收率、本底137Cs峰区计数及标准源137Cs峰区计数，其中样品源137Cs峰区计数的不确定度贡献最为突出。对于137Cs活度浓度为1.28 mBq/L的海水样品，其合成相对标准不确定度为9.78%。  相似文献   

珠江口淇澳岛滨海湿地沉积环境演化及其对人类活动的响应   总被引：1，自引：1，他引：0  

叶翔  李靖  王爱军 《海洋学报》2018,40(7):79-89

滨海湿地作为人类活动和全球变化反应最为敏感的区域，其沉积记录可以反映出周边地区环境变化及人类活动信息。珠江口淇澳岛滨海湿地钻孔分析结果表明，在中全新世期间淇澳岛附近海域为河口湾环境，在风化层以上开始出现淤积，但在4 200 a BP前后受极冷气候的影响，沉积物粗化；自2 500 a BP以来，沉积环境相对稳定，在小冰期期间略有变化。沉积速率计算结果显示:淇澳岛附近海域自中全新世高海面以来的平均沉积速率为0.29 cm/a，4 160~2 500 a BP、2 500 a BP-1488年、1488-1893年、1893-1986年、1990-2007年期间的平均沉积速率分别为:0.17 cm/a、0.23 cm/a、0.35 cm/a、1.37 cm/a和5.94 cm/a，沉积速率逐渐增大，反映了珠江三角洲演化过程中沉积相与沉积环境的变化；1986-1990年期间的海堤建造极大地扰动了该钻孔上部的沉积过程，在工程施工期间共沉积了厚度约112 cm的沉积层，而在海堤建成后，沉积速率也显著增大。沉积物总有机碳、总氮和C/N值的垂向分布表明，在4 160~2 500 a BP期间受海洋环境影响较大，沉积物中有机碳以海源为主，2 500 a BP以来沉积物中碳、氮含量明显增大，C/N也相应变大，有机碳主要来源于陆源输入，但在小冰期期间海源有机碳贡献略有所增大；近百年来由于受人类活动影响显著，陆源有机碳的贡献快速增加。  相似文献   

西北太平洋深海海山的一种蛇尾新记录     

张东声  鹿博  王春生  蒂莫西&#;奥哈拉 《海洋学报(英文版)》2018,37(10):180-184

Ophioleila elegans是一种非常少见的蛇尾。2014年大洋35航次中利用“蛟龙”号载人潜器在西北太平洋麦哲伦海山链的采薇平定海山水深1660m处采集到2株该种标本。该种首次发现于夏威夷海山相似的生境当中，本次采集到的样品是继首次发现之后的再次公开报道。本文中对该种的形态学特征，如腕部骨骼等，进行了更加详细的研究，同时基于COI序列进行系统发育分析。形态和系统发育分析的结果都表明，Ophioleila属与辐蛇尾科更加接近。  相似文献   

基于云存储技术的海岛信息管理和 展示平台设计与实现     

孙超  汪愿愿  潘增弟  孙亚伟 《海洋通报》2019,38(2):233-240

随着海岛遥感影像数据的不断积累,传统数据存储管理方法越来越难以满足需求。针对上述问题,利用云存储技术对海岛影像数据进行分块组织,建立分布式海岛影像数据集,并在优化数据存储的同时,设计了一套海岛信息多形式展示平台。实现了信息检索、数据传输与审核、分析评价、成果展示和共享等功能。  相似文献   

不同类型的高位虾池排污对秋茄幼苗生长的影响     

田园  陈光程  唐飞龙  郑春芳  叶勇 《海洋学报(英文版)》2018,37(6):112-120

中国多数红树林陆地边缘存在着大量的养虾池塘。这些养虾池塘可通过：（1）换塘外排废水，（2）清塘直排污泥影响周围的红树林。本研究共包含两个实验，来探讨这两种类型的排污对秋茄幼苗生长的影响。实验一模拟虾池常规换塘情况，研究换塘废水对秋茄幼苗生长的影响。实验二设置四种虾池清塘污泥沉积厚度（0 cm，2 cm，4 cm，8 cm），研究虾池清塘污泥的累积效应对秋茄幼苗生长的影响。结果如下：在5，15和25三种盐度下，虾池换塘废水未对秋茄生长指标造成显著影响；而清塘污泥对秋茄生长的影响与其沉积厚度有关，大多数生长参数在污泥沉积厚度为4 cm时呈现最大值。秋茄幼苗在适量的沉积厚度下加速了生长，且本实验秋茄幼苗对虾池清塘污泥的耐受性为沉积厚度8 cm。  相似文献   

Tidal effects on temperature front in the Yellow Sea   总被引：5，自引：0，他引：5  

Ma Jian  Qiao Fangli  Xia Changshui  Yang Yongzeng 《中国海洋湖沼学报》2004,22(3):314-321

Temperature front (TF) is one of the important features in the Yellow Sea, which forms in spring, thrives in summer, and fades in autumn as thermocline declines. TF intensity ⋎S _T ⋎ is defined to describe the distribution of TF. Based on the MASNUM wave-tide-circulation coupled model, temperature distribution in the Yellow Sea was simulated with and without tidal effects. Along 36°N, distribution of TF from the simulated results are compared with the observations, and a quantitative analysis is introduced to evaluate the tidal effects on the forming and maintaining processes of the TF. Tidal mixing and the circulation structure adapting to it are the main causes of the TF. Supported by the National Basic Research Program of China (No. G1999043809) and the National Science Foundation of China (No. 49736190).  相似文献   

Silicon limitation on primary production and its destiny in Jiaozhou Bay, China——Ⅳ：Study on cross-bay transect from estuary to ocean   总被引：1，自引：0，他引：1  

Yang Dongfang  Chen Yu  Gao Zhenhui  Zhang Jing  Wang Fan 《中国海洋湖沼学报》2005,23(1):72-90

The authors analyzed the data collected in the Ecological Station Jiaozhou Bay from May 1991 to November 1994, including 12 seasonal investigations, to determine the characteristics, dynamic cycles and variation trends of the silicate in the bay. The results indicated that the rivers around Jiaozhou Bay provided abundant supply of silicate to the bay. The silicate concentration there depended on river flow variation. The horizontal variation of silicate concentration on the transect showed that the silicate concentration decreased with distance from shorelines. The vertical variation of it showed that silicate sank and deposited on the sea bottom by phytoplankton uptake and death, and zooplankton excretion. In this way, silicon would endlessly be transferred from terrestrial sources to the sea bottom. The silicon took up by phytoplankton and by other biogeochemical processes led to insufficient silicon supply for phytoplankton growth. In this paper, a 2D dynamic model of river flow versus silicate concentration was established by which silicate concentrations of 0.028–0.062 μmol/L in seawater was yielded by inputting certain seasonal unit river flows (m³/s), or in other words, the silicate supply rate; and when the unit river flow was set to zero, meaning no river input, the silicate concentrations were between 0.05–0.69 μmol/L in the bay. In terms of the silicate supply rate, Jiaozhou Bay was divided into three parts. The division shows a given river flow could generate several different silicon levels in corresponding regions, so as to the silicon-limitation levels to the phytoplankton in these regions. Another dynamic model of river flow versus primary production was set up by which the phytoplankton primary production of 5.21–15.55 (mgC/m²·d)/(m³/s) were obtained in our case at unit river flow values via silicate concentration or primary production conversion rate. Similarly, the values of primary production of 121.98–195.33 (mgC/m²·d) were achieved at zero unit river flow condition. A primary production conversion rate reflects the sensitivity to silicon depletion so as to different phytoplankton primary production and silicon requirements by different phytoplankton assemblages in different marine areas. In addition, the authors differentiated two equations (Eqs. 1 and 2) in the models to obtain the river flow variation that determines the silicate concentration variation, and in turn, the variation of primary production. These results proved further that nutrient silicon is a limiting factor for phytoplankton growth. This study was funded by NSFC (No. 40036010), and the Director's Fund of the Beihai Sea Monitoring Center, the State Oceanic Administration.  相似文献   

Simulation of double cold cores of the 35°N section in the Yellow Sea with a wave-tide-circulation coupled model   总被引：1，自引：0，他引：1  

Xia Changshui  Qiao Fangli  Zhang Mengning  Yang Yongzeng  Yuan Yeli 《中国海洋湖沼学报》2004,22(3):292-298

Based on the MASNUM wave-tide-circulation coupled numerical model, the temperature structure along 35°N in the Yellow Sea was simulated and compared with the observations. One of the notable features of the temperature structure along 35°N section is the double cold cores phenomena during spring and summer. The double cold cores refer to the two cold water centers located near 122°E and 125°E from the depth of 30m to bottom. The formation, maintenance and disappearance of the double cold cores are discussed. At least two reasons make the temperature in the center (near 123°E) of the section higher than that near the west and east shores in winter. One reason is that the water there is deeper than the west and east sides so its heat content is higher. The other is invasion of the warm water brought by the Yellow Sea Warm Current (YSWC) during winter. This temperature pattern of the lower layer (from 30m to bottom) is maintained through spring and summer when the upper layer (0 to 30m) is heated and strong thermocline is formed. Large zonal span of the 35°N section (about 600 km) makes the cold cores have more opportunity to survive. The double cold cores phenomena disappears in early autumn when the west cold core vanishes first with the dropping of the thermocline position. Supported by the National Basic Research Program of China (No. G1999043809) and the National Science Foundation of China (No. 49736190).  相似文献