Late Quaternary contourites and glaciomarine sedimentation in the Fram Strait   总被引：1，自引：0，他引：1  

JOHN A. HOWE  TRACY M. SHIMMIELD  REX HARLAND† 《Sedimentology》2008,55(1):179-200

Two sites in the eastern Fram Strait, the Vestnesa Ridge and the Yermak Plateau, have been surveyed and sampled providing a depositional record over the last glacial‐interglacial cycle. The Fram Strait is the only deep‐water connection from the Arctic Ocean to the North Atlantic and contains a marine sediment record of both high latitude thermohaline flow and ice sheet interaction. On the Vestnesa Ridge, the western Svalbard margin, a sediment drift was identified in 1226 m of water. Gravity and multicores from the crest of the drift recovered turbidites and contourites. ¹⁴C dating indicates an age range of 8287 to 26 900 years BP (Early Holocene to Late Weichselian). The Yermak Plateau is characterized by slope sediments in 961 m of water. Gravity and multicores recovered contourites and hemipelagites. ¹⁴C ages were between 8615 and 46 437 years BP (Early Holocene to mid‐Weichselian). Downcore dinoflagellate cyst analyses from both sites provide a record of changing surface water conditions since the mid‐Weichselian, suggesting variable sea ice extent, productivity and polynyas present even during the Last Glacial Maximum. Four layers of ice‐rafted debris were also identified and correlated within the cores. These events occurred ca at 9, 24 to 25, 26 to 27 and 43 ka, asynchronous with Heinrich layers in the wider north‐east Atlantic and here interpreted as reflecting instability in the Svalbard/Barents Ice sheet and the northward advection of warm Atlantic water during the Late Weichselian. The activity of the ancestral West Spitsbergen Current is interpreted using mean sortable silt records from the cores. On the Vestnesa Ridge drift the modern mass accumulation rate, calculated using excess ²¹⁰Pb, is 0·076 g cm^?2 year^?1. On the Yermak Plateau slope the modern mass accumulation rate is 0·053 g cm^?2 year^?1.  相似文献   

多传感器观测下带乘性噪声系统的逆向滤波与反褶积融合算法     

褚东升  李玉全  梁猛  张玲 《中国海洋大学学报(自然科学版)》2002,32(5):837-842

针对多传感器观测环境下带乘性噪声系统的逆向最优滤波与反褶积融合估计问题 ,本文提出了 1种基于极大似然准则的最优融合算法。该算法中各单传感器间并行计算 ,并且融合中心与单传感器处理中心间无反向通讯 ,因而执行效率较高。仿真表明 ,该融合算法产生的逆向滤波与反褶积比单传感器处理结果有较明显提高  相似文献   

Modelling the size selectivities of a trawl codend and an associated square mesh panel   总被引：8，自引：1，他引：8  

Zuur  G.; Fryer  R. J.; Ferro  R. S. T.; Tokai  T. 《ICES Journal of Marine Science》2001,58(3):657-671

  相似文献   

Estimation of gillnet and hook selectivity using log-linear models   总被引：5，自引：0，他引：5  

Millar  Russell B.; Holst  Rene 《ICES Journal of Marine Science》1997,54(3):471-477

  相似文献   

黄海溶解氧垂直分布最大值的成因   总被引：1，自引：0，他引：1  

王保栋 《海洋科学进展》1997,(3)

本文对黄海溶解氧垂直分布中最大值的成因进行了探讨．认为：浮游植物春花期光合作用产生的大量氧，是溶解氧垂直分布最大值得以在春季（5月）形成的基础；而良好的温、密跃层的存在是氧最大值得以形成的必要条件，夏季叶绿素最大值层中较强的光合作用，是氧最大值在夏季得以维持甚至增强的主要原因．提出：黄海春、夏季溶解氧垂直分布中的最大值并非主要由冬季保持而来．  相似文献   

末次盛冰期以来渤、黄、东海陆架底质分布演变过程模拟研究   总被引：1，自引：0，他引：1  

朱玉荣 《海洋科学进展》2002,20(1):11-24

渤、黄、东海陆架底质的形成分布与末次盛冰期之后的海侵密切相关。末次盛冰期结束、海侵开始以来 ,潮流是渤、黄、东海陆架上的永久性主导作用应力。为从长期沉积动力演变过程的角度 ,探讨渤、黄、东海陆架底质形成分布的有关成因问题 ,利用数值模拟手段 ,再现了末次盛冰期以来 6个时期渤、黄、东海陆架潮流作用下海底的冲淤格局及底质分布。结果表明 ,扬子浅滩南侧东海外陆架的砂质沉积基本上是自 - 80 m海面以来形成的。扬子浅滩形成于 -5 2 m海面之后 ,至 - 3 0 m海面时已有一定规模 ,全新世最大海侵之后 ,逐渐形成现在规模的扬子浅滩。南黄海中部泥自 - 5 2 m海面时就已开始形成 ,- 3 0 m海面时范围很大 ,侵入北黄海 ,全新世最大海侵以来 ,逐渐调整到现在的范围。渤海中央泥、北黄海西部泥、浙闽岸外泥、辽东半岛西侧与北侧的砂质沉积、西朝鲜湾与江华湾中的砂质沉积以及苏北浅滩是自全新世最大海侵以来逐渐形成的。海州湾中砂质沉积形成的盛期在公元 8世纪之后。济洲岛西南泥、南黄海东部泥很可能分别形成于 - 3 0 m海面、- 5 2 m海面以来。全新世渤、黄、东海陆架底质分布的演变过程大致分为 2个阶段 :全新世最大海侵之前为渤、黄、东海陆架底质分布宏观格局的形成阶段 ;全新世最大海侵至今为渤  相似文献   

末次盛冰期以来印度尼西亚穿越流对东印度洋上部水体结构的影响          下载免费PDF全文

叶黎明  翦知湣  金海燕  成鑫荣 《第四纪研究》2008,28(3):458-464

海洋上部水体垂向结构变化对于理解热带海区在全球气候变化中的作用有着重要意义。通过分析印度尼西亚穿越流(ITF)出口处东印度洋帝汶海区SO18480-3孔中的浮游有孔虫表层种Globigerinoides ruber和温跃层种Pulleniatina obliquiloculata壳体氧碳同位素,并借助12个AMS¹⁴C测年数据重建了末次盛冰期(LGM)以来该区温跃层深度和营养盐水平的演化序列。壳体氧同位素(δ¹⁸O)记录表明温跃层古海洋学特征的变化幅度要大于表层海水,其差值(Δδ¹⁸O_(P-G))有效地反映了温跃层深度的变化,即冰消期和晚全新世温跃层较浅,LGM和早中全新世温跃层较深;并揭示出与全新世相比,LGM期间ITF总流量未显著减小,ITF对该区上部水体结构的影响受到了东西太平洋之间不对称性的调节。碳同位素(δ¹³C)记录则表明该区的古海洋学变化在不同程度上受到了南大洋的影响,并受本区上部水体垂向结构的控制,其差值(Δδ¹³_(G-P))在一定程度上反映了该区上部水体营养盐水平的变化。  相似文献   

末次盛冰期东亚气候的成因检测   总被引：4，自引：0，他引：4       下载免费PDF全文

姜大膀  梁潇云 《第四纪研究》2008,28(3):491-501

在国际古气候模拟比较计划设置的标准试验方案下,首先利用中国科学院大气物理研究所的全球大气环流模式（IAP-AGCM）模拟了末次盛冰期东亚气候状况,然后通过4组数值敏感性试验逐一模拟了大气CO₂浓度、海洋表面温度（SST）和海冰、陆地冰盖和地形、东亚植被变化4项强迫因子的单独气候效应,进而对末次盛冰期东亚气候的成因进行了检测。结果表明,末次盛冰期除华南局部略有升温外,中国年均地表气温显著降低,降温幅度总体上向北增大,青藏高原处存在一个降温中心。其中,SST和海冰变化是华南局部略偏暖的主因,它同时导致了东亚其他区域地表气温的显著降低,特别是在东北亚地区;陆地冰盖和地形变化对于东亚地表气温的显著冷却作用主要体现在东亚的西北部;大气CO₂浓度降低会引起东亚地区0.2～0.9℃的普遍降温;相对而言,东亚植被的降温作用（0.5～1.0℃）主要显现在中国40°N以南的区域。与此同时,SST和海冰变化能引起中国东部年均降水一定程度的减少,而大气CO₂浓度、陆地冰盖和地形、东亚植被单独变化均不会显著影响东亚年均降水的分布状况,然而,上述四项因子的共同变化会通过协同作用引起中国东部年均降水的显著减少,西部地区降水则与现在差别不大。此外,末次盛冰期东亚夏季风的显著减弱源于SST和海冰变化,冬季风变化则可归因于SST和海冰、陆地冰盖和地形的变化。  相似文献   

Estimation of covariance matrix from geochemical data with observations below detection limits     

Chang-Jo F. Chung 《Mathematical Geology》1993,25(7):851-865

Multivariate statistical analyses have been extensively applied to geochemical measurements to analyze and aid interpretation of the data. Estimation of the covariance matrix of multivariate observations is the first task in multivariate analysis. However, geochemical data for the rare elements, especially Ag, Au, and platinum-group elements, usually contain observations the below detection limits. In particular, Instrumental Neutron Activation Analysis (INAA) for the rare elements produces multilevel and possibly extremely high detection limits depending on the sample weight. Traditionally, in applying multivariate analysis to such incomplete data, the observations below detection limits are first substituted, for example, each observation below the detection limit is replaced by a certain percentage of that limit, and then the standard statistical computer packages or techniques are used to obtain the analysis of the data. If a number of samples with observations below detection limits is small, or the detection limits are relatively near zero, the results may be reasonable and most geological interpretations or conclusions are probably valid. In this paper, a new method is proposed to estimate the covariance matrix from a dataset containing observations below multilevel detection limits by using the marginal maximum likelihood estimation (MMLE) method. For each pair of variables, sayY andZ whose observations containing below detection limits, the proposed method consists of three steps: (i) for each variable separately obtaining the marginal MLE for the means and the variances, , , , and forY andZ: (ii) defining new variables by and and lettingA=C+D andB=C–D, and obtaining MLE for variances, and forA andB; (iii) estimating the correlation coefficient _YZ by and the covariance _YZ by . The procedure is illustrated by using a precious metal geochemical data set from the Fox River Sill, Manitoba, Canada.  相似文献   

Estimation for partially observed Markov processes     

M. E. Thompson  T. N. Kaseke 《Stochastic Hydrology and Hydraulics》1995,9(1):33-47

Many stochastic process models for environmental data sets assume a process of relatively simple structure which is in some sense partially observed. That is, there is an underlying process (X_n, n 0) or (X_t, t 0) for which the parameters are of interest and physically meaningful, and an observable process (Y_n, n 0) or (Y_t, t 0) which depends on the X process but not otherwise on those parameters. Examples are wide ranging: the Y process may be the X process with missing observations; the Y process may be the X process observed with a noise component; the X process might constitute a random environment for the Y process, as with hidden Markov models; the Y process might be a lower dimensional function or reduction of the X process. In principle, maximum likelihood estimation for the X process parameters can be carried out by some form of the EM algorithm applied to the Y process data. In the paper we review some current methods for exact and approximate maximum likelihood estimation. We illustrate some of the issues by considering how to estimate the parameters of a stochastic Nash cascade model for runoff. In the case of k reservoirs, the outputs of these reservoirs form a k dimensional vector Markov process, of which only the kth coordinate process is observed, usually at a discrete sample of time points.  相似文献