4 resultados para Intercomparison

em Chinese Academy of Sciences Institutional Repositories Grid Portal


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“Dissolved” (< 0.4 μm filtered) and “total dissolvable” (unfiltered) trace element samples were collected using “clean” sampling techniques from four vertical profiles in the eastern Atlantic Ocean on the first IOC Trace Metals Baseline expedition. The analytical results obtained by 9 participating laboratories for Mn, Fe, Co, Ni, Cu, Zn, Cd, Pb, and Se on samples from station 4 in the northeast Atlantic have been evaluated with respect to accuracy and precision (intercomparability). The data variability among the reporting laboratories was expressed as 2 × SD for a given element and depth, and was comparable to the 95% confidence interval reported for the NASS seawater reference standards (representing analytical variability only). The discrepancies between reporting laboratories appear to be due to inaccuracies in standardization (analytical calibration), blank correction, and/or extraction efficiency corrections.Several of the sampling bottles used at this station were not adequately pre-cleaned (anomalous Pb results). The sample filtration process did not appear to have been a source of contamination for either dissolved or particulate trace elements. The trace metal profiles agree in general with previously reported profiles from the Atlantic Ocean. We conclude that the sampling and analytical methods we have employed for this effort, while still in need of improvement, are sufficient for obtaining accurate concentration data on most trace metals in the major water masses of the oceans, and to enable some evaluation of the biogeochemical cycling of the metals.

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The mean sea surface heights (sea surface topography) of the South China, East China, Yellow and Bohai Seas are derived from an ocean general circulation model and surface air pressure. The circulation model covers the global oceans, with fine grid (1/6degrees) covering the East Asian marginal seas and coarse grid (31) covering the rest part of the global oceans. The result shows that the China 1985 National Altitude Datum is 24.7 cm above the me-an sea surface height of the world oceans. The mean sea surface in the coastal ocean adjacent to China is higher in the south than in the north. Intercomparison of the model results with the geodetic leveling measurements at 28 coastal tidal stations shows a standard deviation of 4.8 cm and a fitting coefficient of 95.3%. After correction through linear regression, the standard deviation is reduced to 4.5 cm. This indicates that the accuracy of model results is sufficient for practical application. Based on the model results, the mean sea surface heights for the study area with a resolution of 1/6 degree are given. This result also links the mean sea levels at islands with those on the mainland coast and gives the mean sea surface heights at tidal stations in the Taiwan Island, the Dongsha Islands, the Yisha Islands and the Nansha Islands relative to the China 1985 National Altitude Datum.

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本文依据收集到的392个地面验潮站8个主要分潮(M2、S2、K1、O1、N2、K2、P1及Q1)的调和常数,对现有7个全球大洋潮汐模式的准确度进行了检验,结果显示各模式在深海区域均达到了比较高的准确度,相互之间差别也不大。经验模式GOT00和CSR4.0、同化模式NAO99、反演同化模式TPXO7.0、数值同化模式FES2002和FES2004的M2分潮均方根偏差在3 cm左右,其它分潮(S2、K1、O1、N2、K2、P1及Q1)大约在1~2 cm。本文还依据中国近海18个岛屿的调和常数对其中的5个大洋潮汐模式的准确度进行了检验,结果表明,M2分潮均方根偏差在6~14 cm,明显高于大洋部分的偏差,其中日本国家天文台的潮汐模式NAO99在中国近海的结果相对较准确。 我们利用1992年8月至2008年8月的TOPEX/POSEIDON和JASON-1(T/P-J)卫星高度计资料,对沿卫星轨道的302816个站点进行了14个分潮的潮汐调和分析,得到了全球大洋潮汐的8个主要分潮以及2个气象分潮Sa、Ssa的经验同潮图。主要结果有:(1)各分潮在卫星上升轨道与下降轨道的交叉点(约7000个)相关性分析表明:M2分潮的振幅和迟角的相关系数很高(分别为0.9965和0.9961);S2,K1,O1和Sa分潮也有较好的相关性(相关系数为0.94~0.99);(2)该结果与392地面个验潮站吻合较好,其中M2分潮的振幅、迟角和向量的均方根偏差分别为:1.73 cm,2.340和2.93 cm;S2,K1和O1分潮的振幅、迟角和向量的均方根偏差为1 cm左右,5.250~7.270和1.5~2.1 cm,该精度与最近几年国际上的主要大洋潮汐模式的准确度相近;(3)首次通过卫星资料获得了Sa、Ssa分潮的同潮图。周期为1年的Sa分潮与大洋105个地面站相比,振幅、迟角和向量的均方根偏差分别为1.50 cm、18.360和2.16 cm。在此基础上,进一步分析了构成Sa、Ssa气象分潮的两个主要因素(海水密度以及海面气压)在全球的分布。 在T/P-J等卫星资料无法覆盖到南大洋和北冰洋,本文利用Princeton Ocean Model(POM)进行了数值模拟,模拟结果与162个地面实测站(其中南大洋30个,北冰洋132个)的观测比较一致。基于卫星资料分析的结果和数值模拟结果合并得到了全球大洋的8个主要分潮同潮图。在此基础上通过全球潮汐能量耗散的计算得到潮能通量的分布,并得到全球M2、S2、K1和O1分潮的潮汐能量耗散率为2.431TW、0.401TW、0.336TW和0.176TW。 本文还利用卫星资料对南海潮汐进行了研究,在中国南海,获得了主要的半日潮、全日潮、四分日分潮和长周期分潮(M2,S2,N2,K2,K1,O1,P1,Q1,M4, MS4,Sa, Ssa)的经验同潮图。与南海沿岸94个地面验潮站的数据符合得比较好,M2,S2,K1及O1等4个主要分潮的平均振幅差为2~4 cm,均方根偏差分别是9~11 cm.其它4个主要分潮N2,K2,P1,Q1的平均振幅差为1~2 cm,均方根偏差为2~4 cm。此外,本文还利用卫星高度计资料潮汐分析结果沿卫星轨道进行高通滤波,分离得出中国近海的M2,S2,K1及O1分潮的内潮信息。

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The Yellow River (Huanghe) is the second largest river in China and is known for its high turbidity. It also has remarkably high levels of dissolved uranium (U) concentrations (up to 38 nmol l(-1)). To examine the mixing behavior of dissolved U between river water and seawater, surface water samples were collected along a salinity gradient from the Yellow River plume during September 2004 and were measured for dissolved U concentration, U-234:U-238 activity ratio, phosphate (PO43-), and suspended particulate matter. Laboratory experiments were also conducted to simulate the mixing process in the Yellow River plume using unfiltered Yellow River water and filtered seawater. The results showed a nonconservative behavior for dissolved U at salinities < 20 with an addition of U to the plume waters estimated at about 1.4 X 10(5) mol yr(-1). A similarity between variations in dissolved U and PO43- with salinity was also found. There are two major mechanisms, desorption from suspended sediments and diffusion from interstitial waters of bottom sediments, that may cause the elevated concentrations of dissolved U and PO43- in mid-salinity waters. Mixing experiments indicate that desorption seems more responsible for the elevated dissolved U concentrations, whereas diffusion influences more the enrichment of PO43-.