Bacterial productivity in the Prydz Bay and its adjacent waters, Antarctic

Bacterial productivity was measured using 3H-thymidine methods in the Prydz Bay and its adjacent waters in the Southern Ocean during the 16th National Antarctic Research Expedition of China (CHINARE). The results showed that bacterial productivity in our study areas ranged from 4.5 to 191 ngC·dm -3·h -1, with an average of 50.4 ngC·dm -3·h -1. These values were comparable to those reported for the Ross Sea. The mean ratio of bacterial productivity to primary productivity in our study areas was 41%. The general characteristics in the vertical profiles showed a subsurface maximum at most of the stations, which was also consistent with those observed in the other sea areas in the Southern Ocean. The spatial distribution of bacterial productivity and dissolved organic carbon in the surface waters showed that their variations were inversely correlative. The relationship among bacterial productivity, primary productivity and dissolved organic carbon suggested that bacterial productivity in the Prydz Bay and its adjacent water was influenced mostly by phytoplankton activities and the hydrologic conditions.     

运用228Ra-NO-3法测定南沙海域的新生产力

运用MnO₂纤维富集-²²⁸Ac b计数法测定了南沙海域两个测站3个时间点水柱的²²⁸Ra比活度, 得其值介于0.38至 3.60 Bq×m^-3. 发现²²⁸Ra的分布能满足稳态条件. 采用一维稳态模型, 以²²⁸Ra-NO^- ₃法测得测站NS97-43, NS99-53(T₁)和NS99-53(T₂)的新生产力分别为4.4, 5.1和5.7 mmolC·m^-2·d^-1. 结合初级生产力的文献报道值, 计算得南沙海域的f比介于0.12~0.15.     

运用228Ra-NO-3法测定南沙海域的新生产力

运用MnO2纤维富集-228Ac β计数法测定了南沙海域两个测站3个时间点水柱的228Ra比活度, 得其值介于0.38至 3.60 Bq(m-3. 发现228Ra的分布能满足稳态条件. 采用一维稳态模型, 以228Ra-NO-3法测得测站NS97-43, NS99-53(T1)和NS99-53(T2)的新生产力分别为4.4, 5.1和5.7 mmolC@m-2@d-1. 结合初级生产力的文献报道值, 计算得南沙海域的f比介于0.12～0.15.     

垂直集成采样法在234Th—238U不平衡研究海洋新生产力中的应用

对基于梯形积分原理的集成采样法的可行性在理论上进行了阐述,并在厦门湾和南海北部的5个站位分别采集不同深度的水样和由这些水样按一定比例混合而成的集成水样进行了现场研究,结果表明两种采样方法经不可逆稳态清除模型得出的溶解态234Th的清除通量、颗粒态234Th的输出通量及溶解态、颗粒态234Th的停留时间基本一致,证实了垂直集成采样法的可行性与可靠性。这种新的采样方案为今后充分发挥234Th法的优势,在更大空间尺度上进行新生产力的研究提供了可靠的保证。     

锰纤维富集-γ能谱法测定海水中的224Ra、226Ra和228Ra

采用锰纤维富集大体积海水中的镭同位素,继用HPGey谱仪通过测定子体发射的y射线测定了海水中224Ra、226Ra和228Ra的比活度.推导了3种核素比活度的计算公式,讨论了样品处理和谱分析方法.该法简单、快速,省却了化学分离的繁杂过程,可同时测定3种核素.     

Seasonal export fluxes of size-fractionated particulate derived from polonium-210: A case study in Xiamen Bay

Size-fractionated 210Po and 210Pb, in the size fractions 0.4 μm, 2 μm and 10 μm, were examined to determine the seasonal variability of particulate fluxes in Xiamen Bay. Good correlations between 210Po and particulate organic carbon (POC) or non-Particulate Organic Matter (nPOM) suggested that 210Po can be used to trace the export fluxes of POC and nPOM. Both steady-state (SS) model and nSS model were used to evaluate fluxes of size-fractionated 210Po, results showed that nSS model was better than the SS model in coastal areas. Based on the nSS model, size-fractionated POC fluxes decreased with increasing particle size. For the particle size studied, maximum POC fluxes occurred in autumn, followed by spring, winter, and summer. Fluxes of nPOM were an order of magnitude higher than the corresponding size-fractionated POC fluxes. Differences between size-fractionated nPOM fluxes indicated that hydrodynamic conditions were the main factor regulating transportation of particulate out of the inner Bay. In winter most particulates, including 10 μm particles, were transported under the strongest hydrodynamic conditions. In contrast, only a fraction of the 2 μm particulates were transported from the inner Bay in spring. This study suggested that 210Po is a powerful tracer of seasonal particulate export in coastal seas.     

Seasonal export fluxes of size-fractionated particulate derived from polonium-210: A case study in Xiamen Bay

Size-fractionated ²¹⁰Po and ²¹⁰Pb, in the size fractions >0.4 μm, >2 μm and >10 μm, were examined to determine the seasonal variability of particulate fluxes in Xiamen Bay. Good correlations between ²¹⁰Po and particulate organic carbon (POC) or non-Particulate Organic Matter (nPOM) suggested that ²¹⁰Po can be used to trace the export fluxes of POC and nPOM. Both steady-state (SS) model and nSS model were used to evaluate fluxes of size-fractionated ²¹⁰Po, results showed that nSS model was better than the SS model in coastal areas. Based on the nSS model, size-fractionated POC fluxes decreased with increasing particle size. For the particle size studied, maximum POC fluxes occurred in autumn, followed by spring, winter, and summer. Fluxes of nPOM were an order of magnitude higher than the corresponding size-fractionated POC fluxes. Differences between size-fractionated nPOM fluxes indicated that hydrodynamic conditions were the main factor regulating transportation of particulate out of the inner Bay. In winter most particulates, including >10 μm particles, were transported under the strongest hydrodynamic conditions. In contrast, only a fraction of the <2 μm particulates were transported from the inner Bay in spring. This study suggested that ²¹⁰Po is a powerful tracer of seasonal particulate export in coastal seas.     

南极普里兹湾及其邻近海域溶解有机碳的分布

中国南极科学考察第16航次期间(1999年11月～2000年4月),在南极普里兹湾及邻近海域的不同站位与水深采集海水样品用于溶解有机碳测定,通过高温催化氧化法完成样品的分析.结果表明,在调查期间,南极普里兹湾及其邻近海域各测站上层水体(0～100m)溶解有机碳浓度的变化范围为14.3～181.1μmol/dm3,平均为52.5μmol/dm3,该变化幅度比Ross海、太平洋等海域的相应值略大.溶解有机碳垂直分布的特征是0大于25大于50大于100m,即随深度的增加溶解有机碳浓度逐渐减小,与生物活动在垂直方向上的强弱变化相关.根据200m以深水柱溶解有机碳的垂直分布,可确定研究海域难降解溶解有机碳的浓度为40.4μmol/dm3,与其他研究所报道的数值(～42μmol/dm3)相近.上层水体(0～100m)过剩溶解有机碳的空间分布显示,64°S以北海域溶解有机碳过剩较多,而64°S以南海域则过剩溶解有机碳较少.溶解有机碳浓度与分布特征显示,普里兹湾及其邻近海域溶解有机碳浓度与南大洋其他海域相当,具有低溶解有机碳的一般特征.溶解有机碳浓度的空间分布呈现由西南向东北方向逐渐增加的趋势,这可能与南极陆架夏季上层水的北向扩展有关.生物活动及水体运动是研究海域溶解有机碳分布的主要影响因素.     

南极普里兹湾及其邻近海域细菌生产力的研究

本文阐述了在中国第 1 6次南极科学考察期间 ( 1 999/ 2 0 0 0南半球夏季 )运用3H 胸腺嘧啶核苷示踪法研究南极普里兹湾及其邻近海域细菌生产力的分布特征。结果表明 :该海区细菌生产力比较低 ,变化范围在 4.5- 1 91ngC·dm- 3·h- 1 ,平均为 5 0 .4ngC·dm- 3·h- 1 ,其水平与Ross海相当。细菌生产力的变化较好地反映了浮游植物变化的特性 ,BP与PP的比值为 0 .41。表层水体中BP与DOC的分布特征呈反相关关系。普里兹湾及邻近海域细菌生产力、初级生产力及溶解有机碳之间的关系表明 ,细菌的活动受浮游植物活跃程度及其它环境条件的影响     

热带西太平洋雨水的氢、氧同位素组成

测定了西太平洋(7.5°～31°N,123°～132°E)1989年9～10月间雨水的δD和δ18O值,结果表明该区雨水的氢、氧同位素组成呈观与中、高纬度地区明显不同的分布特征.雨水的δ值与降水点的纬度没有直接的因果关系,而与季风流场明显相关.沿季风流动方向雨水的δ值逐渐减低,这可用降水云团的瑞利分馏过程解释.雨水δD和δ18O的分布大致反映了研究区季风流场的特征.