排序方式： 共有37条查询结果，搜索用时 15 毫秒
31.
南海东北部春季海表pCO_2分布及海-气CO_2通量 总被引：1，自引：1，他引：0
2013年南海东北部春季共享航次采用走航观测方式,现场测定了表层海水和大气的二氧化碳分压(pCO2)及相应参数。结合水文、化学等同步观测要素资料,对该海域pCO2的分布变化进行了探讨。结果表明,陆架区受珠江冲淡水、沿岸上升流及生物活动的影响,呈现CO2的强汇特征;吕宋海峡附近及吕宋岛西北附近海域受海表高温、黑潮分支"西伸"、吕宋岛西北海域上升流等因素影响,呈现强源特征。根据Wanninkhof的通量模式,春季整个南海东北部海域共向大气释放约4.25×104 t碳。 相似文献
32.
利用基于FVCOM(Finite Volume Coastal Ocean Model)模式同化沿岸验潮站数据的高分辨率潮汐数值模型结果,分析研究了包含中国近海、日本海和鄂霍次克海在内的西北太平洋海域全日、半日分潮的潮能通量与耗散。西北太平洋的潮波能量分3支,分别传入鄂霍次克海、东海和南海。传入东海的半日潮波能量是传入南海的3倍左右;传入南海的全日潮波能量是传入东海的5倍多。传入中国东部海域的M2分潮能中,有64.3%耗散在东海,32.4%耗散在黄海,仅有3.2%耗散在渤海;而K1分潮能中分别有48.2%、31.4%及7.1%耗散在东海、黄海及渤海。进入南海的潮能中,仅有32.7%的M2分潮能和38.3%的K1分潮能耗散在南海的北部海域,另有23.9%的M2分潮能进入并耗散在台湾海峡,其余则进入南海南部。传入日本海的太平洋潮能很少。鄂霍次克海消耗的全日潮能是半日潮能的2倍。 相似文献
33.
M2 tide and density residual currents in the Bohai Sea were examined using the Blumberg and Mellor 3D nonlinear numerical coastal circulation model incorporating,Mellor and Yamada level 2.5 turbulent closure model.The tidal results showed good agreement with previous work.The model results indicated that the density residual currents are robust in summer;and that at the transition zone between well-mixed and stratified water,the horizontal velocity is high and the vertical velocity is positive. 相似文献
34.
基于黄、东海Lagrange环流数值模型,对黄、东海Lagrange斜压环流进行了诊断计算.采用流速分解法将Lagrange流速分解为梯度流、风海流、潮致余流、热盐环流、零阶环流耦合流5种分量,实现三维计算的准二维化.计算结果较成功地模拟了冬夏两季黄、东海Lagrange 环流,表明密度环流在冬、夏季均是东海环流的重要分量,可显著增强了东海黑潮、东海黑潮、台湾暖流和对马暖流;在夏季还是黄海环流的主要分量. 相似文献
35.
南海叶绿素a浓度垂直分布的统计估算 总被引：2，自引：0，他引：2
分析整理了1993—2006年近10 a南海北部海域、南沙海域和南海其他海域的叶绿素a浓度历史航次调查资料,基于前人提出的全球叶绿素浓度垂直分布的统计分析模式,根据南海表层叶绿素a浓度大小的不同分级,对南海叶绿素a浓度进行了参数化处理,拟合估算了南海各水层剖面的叶绿素a浓度分布值,并结合不同海区的环境特征,分析了南海叶绿素a浓度垂直分布与其海水物理环境的关系。初步分析结果表明,叶绿素a浓度随深度垂直变化的拟合曲线呈一定倾斜的正态分布特征,当表层叶绿素a浓度较低时,作为南海深水海盆区的代表,拟合值更接近实测平均值的分布,叶绿素a浓度高值集中在次表层剖面上;当表层叶绿素a浓度较高时,作为近岸区和河口区的代表,高值多集中在表层海水,拟合误差偏大。该统计估算模式对于揭示南海叶绿素a浓度垂直分布结构进行了有益的尝试,为发展适合不同海区特点的模式以及校正参数奠定了基础。利用该模式与海洋水色卫星遥感数据有效结合,将对南海叶绿素a浓度时空分布格局的研究具有重要的意义。 相似文献
36.
利用2001年度西林—潞城地区26条MT测线924个测点资料,建立了岩石电性特征表,构筑了合理的地电模型,对南盘江坳陷右江断凹区,包括隆林凸起、右江断凹及乐业断阶中的凌云凸起等构造单元的主要构造层位和断裂进行了追踪判别,揭示了三叠系底、石炭系—二叠系底和泥盆系底三个主要地质界面的高程形态,给出了主要断裂和向斜的构造资料。研究结果显示,利用大地电磁测深资料进行区域及局部构造分析是行之有效的。对构造单元具有划界作用的一级断裂共计11条,均为逆断层,大部分NW—NWW向,多数延伸达10～100km,南倾,倾角50°～60°,浅部较陡,深部较缓,具同沉积断裂性质。主要向斜包括小河口、八桂、央边及西平等四个,全落在右江断凹,构造幅度在三叠系底面上为850～1400m,石炭系—二叠系底为1000～1750m,泥盆系底为1500～2500m。区内还分布有十多个出露或隐伏的背斜和凸起构造,全区尤其是右江断凹,构造形态比较复杂。 相似文献
37.
Marginal seas play important roles in regulating the global carbon budget, but there are great uncertainties in estimating carbon sources and sinks in the continental margins. A Pacific basin-wide physical-biogeochemical model is used to estimate primary productivity and air-sea CO_2 flux in the South China Sea(SCS), the East China Sea(ECS), and the Yellow Sea(YS). The model is forced with daily air-sea fluxes which are derived from the NCEP2 reanalysis from 1982 to 2005. During the period of time, the modeled monthly-mean air-sea CO_2 fluxes in these three marginal seas altered from an atmospheric carbon sink in winter to a source in summer. On annualmean basis, the SCS acts as a source of carbon to the atmosphere(16 Tg/a, calculated by carbon, released to the atmosphere), and the ECS and the YS are sinks for atmospheric carbon(–6.73 Tg/a and –5.23 Tg/a, respectively,absorbed by the ocean). The model results suggest that the sea surface temperature(SST) controls the spatial and temporal variations of the oceanic pCO_2 in the SCS and ECS, and biological removal of carbon plays a compensating role in modulating the variability of the oceanic pCO_2 and determining its strength in each sea,especially in the ECS and the SCS. However, the biological activity is the dominating factor for controlling the oceanic pCO_2 in the YS. The modeled depth-integrated primary production(IPP) over the euphotic zone shows seasonal variation features with annual-mean values of 293, 297, and 315 mg/(m~2·d) in the SCS, the ECS, and the YS, respectively. The model-integrated annual-mean new production(uptake of nitrate) values, as in carbon units, are 103, 109, and 139 mg/(m~2·d), which yield the f-ratios of 0.35, 0.37, and 0.45 for the SCS, the ECS, and the YS, respectively. Compared to the productivity in the ECS and the YS, the seasonal variation of biological productivity in the SCS is rather weak. The atmospheric pCO_2 increases from 1982 to 2005, which is consistent with the anthropogenic CO_2 input to the atmosphere. The oceanic pCO_2 increases in responses to the atmospheric pCO_2 that drives air-sea CO_2 flux in the model. The modeled increase rate of oceanic pCO_2 is0.91 μatm/a in the YS, 1.04 μatm/a in the ECS, and 1.66 μatm/a in the SCS, respectively. 相似文献