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1.
油菜素内酯对两种单细胞藻生长和某些生理活性的影响 总被引：4，自引：0，他引：4
研究于１９９１年３月－１９９２年７月在大连进行，实验藻取自大连凌水养殖二场饵料室。分别用浓度为５，１０，５０μｇ／Ｌ和１，５，１０μｇ／Ｌ的油菜素内酯处理亚心形扁藻及球等鞭金藻，研究其对单细胞藻生长的结果表明，两种藻的各处理组的瞎缓期均缩短，细胞生长加快。促进生长最佳浓度。亚心形扁藻的１０μｇ／Ｌ，球等鞭金藻的５μｇ／Ｌ；油菜素内酯可提高实验藻的叶绿素含量并促进其光合作用；在处理组的亚心形扁藻和球 相似文献
2.
厦门地区软相潮间带多毛类的生态 总被引：1，自引：0，他引：1
根据厦门地区１９９０年２月至１９９２年１月调查软相潮间带所获资料，研究了该区多毛类的种类组成，数量与分布，结果表明，该区多毛类种类丰富，共鉴定出１１８种，隶属于３７科８３属。其中，高潮区４０种，中潮区９０种，低潮区８３种。多毛类平均栖息密度８７个／ｍ＾３，平均生物量３．３３ｇ／ｍ＾２。 相似文献
3.
本文分析、介绍了１９９２／１９９３年冬季渤海的冰情；总结了该冬季我国海冰业务数值预报工作的最新进展。 相似文献
4.
有机锡对海洋微藻的生理效应
──Ⅱ.三苯基锡和三丁基锡对扁藻和金藻光合作用的影响
总被引：19，自引：1，他引：19于１９９１年４月－１９９２年１月，分别用不同浓度的三苯基氯化锡和三丁基氯化锡培养扁藻和金藻，测定２４，４８和７２ｈ两种藻的净光合速率和生长速率。结果表明，ＴＢＴＣ对两种藻的毒性大于ＴＰＴＣ；ＴＰＴＣ和ＴＢＴＣ在浓度为０．２μｇ／Ｌ时，对两种藻的光合作用有轻微影响；浓度大于０．４μｇ／Ｌ，两种藻的光合作用不同程序地受到抑制。扁藻对有机锡的耐受力大于金藻：扁藻用两种锡处理后，第一天受害最严重，第二天和 相似文献
5.
采用ＴＯＧＡ／ＣＯＡＲＥ国际合作考察期间（１９９２年１０月─１９９３年２月）获得的２６７次定点（２°Ｓ，１５５°Ｅ）定时高空大气探测资料，进行计算分析，发现１９９２年１２月─１９９３年２月低空存在一支西风急流，有两次分别持续半月之久，而１９９２年１１月的两次赤道西风急流，因无赤道高空急流配合，仅持续２ｄ便消失。本文还指出：（１）赤道低空西风急流是各种海－气指数产生ＥＮＳＯ异常的重要信息；（２）赤道高空急流有滞后赤道低空急流２ｄ左右的响应关系；（３）赤道低空急流是纬向水汽输送的狭窄通道。 相似文献
6.
有机锡对海洋微藻的生理效应：Ⅰ.三苯基锡和三丁基锡对光合色素… 总被引：16，自引：0，他引：16
于１９９１年４月－１９９２年１月，以金藻和扁藻为材料，用室内一次培养法研究三苯基锡和三丁基锡化合色素含量的影响。结果表明，两种有机锡对两种藻均有影响，在０．２－０．４μｇ／Ｌ的浓度时有轻微毒性；浓度大于０．５μｇ／Ｌ时，能使光合色素明显减少。对于两种藻叶绿素ａ７２ｈＥＣ５０影响结果：ＴＢＴＣ和ＴＰＴＣ对金藻的均为０．５μｇ／Ｌ；对扁藻的，ＴＢＴＣ是０．８７μｇ／Ｌ而ＴＰＴＣ未出现半效应浓度。对于两 相似文献
7.
采用ＴＯＧＡ／ＣＯＡＲＥ国际合作考察期间（１９９２年１０月－１９９３年２月）获得的２６７次定点（２°Ｓ，１５５°Ｅ）定时高空大气探测资料，进行计算分析，发现１９９２年１２月－１９９３年２月低空存在一支西风急流，有两次分别持续半月之久，而１９９２年１１月的两次赤道西风急流，因无赤道高空急流配合，仅持续２ｄ便消失，本文还指出：（１）赤道低空西风急流是各种海－气指数产生ＥＮＳＯ异常的重要信息；（２）赤道 相似文献
8.
本文根据１９９２年夏季对湄洲湾水质环境质量调查资料，对该海区海水中油的含量及分布特征进行了分析研究。结果表明：湄洲湾夏季表层海水油的含量为５－５１μｇ／ｄｍ＾３，平均值为１９．８μｇ／ｄｍ＾３。海水的混合系数较小，高潮和低潮时油含量分布的差异，除了与陆源污染源分布有关外，主要是由水文动力学条件所决定。 相似文献
9.
10.
我国自１９７８年大面积发展对虾生产以来，仅仅十几年，对虾养殖业已成为整个海水养殖中普及面最广、发展速度最快、产值最高、出口创汇最多的龙头产业。对振兴沿海经济、加快渔民致富起了积极重要的作用。１９９２年我国已被列为世界第一养虾大国。据统计，１９９２年养殖面积２０８ｘ１０４亩，产量２０．７ｘ１０４ｔ，占世界１／３，创产值４０ｘ１０８元以上，养殖生产环节盈利近８ｘ１０８元。但由于我国对虾养殖业起步较晚，存在和亟待解决的问题也显得十分突出而紧迫，尤其是１９９３～１９９４年，连续发生蔓延全国的病毒性虾病，… 相似文献
11.
Phytoplankton in the Beaufort and Chukchi Seas: Distribution, dynamics, and environmental forcing 总被引：1，自引：0，他引：1
Jian Wang Glenn F. Cota Josefino C. Comiso 《Deep Sea Research Part II: Topical Studies in Oceanography》2005,52(24-26):3355
Time-series of remotely sensed distributions of phytoplankton, sea ice, surface temperature, albedo, and clouds were examined to evaluate the variability of environmental conditions and physical forcing affecting phytoplankton in the Beaufort and Chukchi Seas. Large-scale distributions of these parameters were studied for the first time using weekly and monthly composites from April 1998 to September 2002. The basic data set used in this study are phytoplankton pigment concentrations derived from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS), ice concentrations obtained from the Special Sensor Microwave Imager (SSM/I) and surface temperature, cloud cover, and albedo derived from the Advanced Very High Resolution Radiometer (AVHRR). Seasonal variation of ice cover was observed to be the dominant environmental factor as the ice-edge blooms followed the retreating marginal ice zones northward. Blooms were most prominent in the southwestern Chukchi Sea, and were especially persistent immediately north of the Bering Strait in nutrient-rich Anadyr Water and in some fronts. Chlorophyll concentrations are shown to increase from a nominal value during the onset of melt in April to a maximum value in mid-spring or summer depending on location. Large interannual variability of ice cover and phytoplankton distributions was observed with the year 1998 being uniquely associated with an early season occurrence of a massive bloom. This is postulated to be caused in part by a rapid response of phytoplankton to an early retreat of the sea-ice cover in the Beaufort Sea region. Correlation analyses showed relatively high negative correlation between chlorophyll and ice concentration with the correlation being highest in May, the correlation coefficient being −0.45. 1998 was also the warmest in the 5 years globally and the sea-ice cover was least extensive in the Beaufort/Chukchi Sea region, partly because of the 1997–1998 El Niño. Strong correlations were noted between ice extent and surface temperature, the correlation coefficient being highest at −0.79 in April, during the onset of the bloom period. 相似文献
12.
根据渤海6个海洋站的海冰监测及气温观测数据统计,终冰日及冰期可用来表征当年渤海冰情严重程度,在大多数年份冰情与终冰日早晚和冰期长短呈负相关。根据2006/2016年的辽东湾海冰面积及外缘线资料,分析了11年间辽东湾冰情的年变化特征,分析结果显示,辽东湾海冰受局地气温影响明显,两者呈较显著的负相关关系。分析结果发现,辽东湾海冰年际变化除受局地气候的影响外,还受太平洋副热带高压(简称副高)、极涡、东亚槽和欧亚环流等气候因子的共同调控,其中受太平洋副高北界位置指数、极涡面积指数、东亚槽强度指数、欧亚纬向环流指数影响最为显著,可作为辽东湾海冰预测的重要因子,此外北极海冰密集度也可以为预测当年冬季辽东湾每月冰情提供依据。 相似文献
13.
南极普里兹湾及其邻近海域表层水镭同位素的分布及应用 总被引：1，自引：0，他引：1
中国第27次南极科学考察期间(2010年12月30日至2011年1月16日),对普里兹湾及其邻近海域表层海水进行了226Ra和228Ra的分析,结果表明:226Ra和228Ra比活度的变化范围分别为1.47—2.43Bq/m3和0.17—0.45Bq/m3,平均值分别为2.13Bq/m3和0.29Bq/m3,228Ra/226Ra)A.R.(228Ra与226Ra的活度比)的变化范围为0.08—0.20,平均值为0.14。根据盐度和226Ra的质量平衡方程,计算出研究海域表层水中冰融水、南极夏季表层水和普里兹湾中深层水的份额。研究海域表层水中温度、盐度、226Ra、228Ra、228Ra/226Ra)A.R.和冰融水份额的空间分布显示,在埃默里冰架前沿海域,西侧海域较东侧海域具有低温、高盐、高226Ra、低228Ra、低228Ra/226Ra)A.R.、低冰融水份额的特征,证实埃默里冰架下水体东进西出的运动规律。根据埃默里冰架前沿东、西侧水体228Ra/226Ra)A.R.的差异,估算出埃默里冰架下表层水体东进西出所经历的时间为1.85a。此外,在普里兹湾湾口中部海域(66.5—67.5°S,72°—74°E),观察到次表层水的上升通风作用,该区域较高的228Ra含量和228Ra/226Ra)A.R.证明这些表层水体并非来自湾外绕极深层水的上涌,而可能来自湾内埃默里冰架输出水体。 相似文献
14.
《Ocean Modelling》2002,4(2):137-172
A new sea ice model, GELATO, was developed at Centre National de Recherches Météorologiques (CNRM) and coupled with OPA global ocean model. The sea ice model includes elastic–viscous–plastic rheology, redistribution of ice floes of different thicknesses, and it also takes into account leads, snow cover and snow ice formation. Climatologies of atmospheric surface parameters are used to perform a 20-year global ocean–sea ice simulation, in order to compute surface heat fluxes from diagnosed sea ice or ocean surface temperature. A surface salinity restoring term is applied only to ocean grid cells with no sea ice to avoid significant surface salinity drifts, but no correction of sea surface temperature is introduced. In the Arctic the use of an ocean model substantially improves the representation of sea ice, and particularly of the ice edge in all seasons, as advection of heat and salt can be more accurately accounted for than in the case of, for example, a sea ice–ocean mixed layer model. In contrast, in the Antarctic, a region where ocean convective processes bear a much stronger influence in shaping sea ice characteristics, a better representation of convection and probably of sea ice (for example, of frazil sea ice, brine rejection) would be needed to improve the simulation of the annual cycle of the sea ice cover. The effect of the inclusion of several ice categories in the sea ice model is assessed by running a sensitivity experiment in which only one category of sea ice is considered, along with leads. In the Arctic, such an experiment clearly shows that a multicategory sea ice model better captures the position of the sea ice edge and yields much more realistic sea ice concentrations in most of the region, which is in agreement with results from Bitz et al. [J. Geophys. Res. 106 (C2) (2001) 2441–2463]. 相似文献
15.
Christian B. Rodehacke Wolfgang Roether Hartmut H. Hellmer Timothy Hall 《Deep Sea Research Part I: Oceanographic Research Papers》2010,57(2):175-198
The knowledge of chlorofluorocarbon (CFC11, CFC12) concentrations in ocean surface waters is a prerequisite for deriving formation rates of, and water mass ages in, deep and bottom waters on the basis of CFC data. In the Antarctic coastal region, surface-layer data are sparse in time and space, primarily due to the limited accessibility of the region. To help filling this gap, we carried out CFC simulations using a regional ocean general circulation model (OGCM) for the Southern Ocean, which includes the ocean–ice shelf interaction. The simulated surface layer saturations, i.e. the actual surface concentrations relative to solubility-equilibrium values, are verified against available observations. The CFC surface saturations driven by concentration gradients between atmosphere and ocean are controlled mainly by the sea ice cover, sea surface temperature, and salinity. However, no uniform explanation exists for the controlling mechanisms. Here, we present simulated long-term trends and seasonal variations of surface-layer saturation at Southern Ocean deep and bottom water formation sites and other key regions, and we discuss differences between these regions. The amplitudes of the seasonal saturation cycle vary from 22% to 66% and their long-term trends range from 0.1%/year to 0.9%/year. The seasonal surface saturation maximum lags the ice cover minimum by two months. By utilizing observed bottle data the full seasonal CFC saturation cycle can be determined offering the possibility to predict long-term trends in the future. We show that ignoring the trends and using instead the saturations actually observed can lead to systematic errors in deduced inventory-based formation rates by up to 10% and suggest an erroneous decline with time. 相似文献
16.
北冰洋中心区海冰漂流与大气过程 总被引：3，自引：3，他引：0
利用北冰洋中心区漂流自动气象站(DAWS)2012年9月—2013年2月的观测数据,分析了北极点周围海冰漂流轨迹和速度及相关大气过程。结果显示,北冰洋中心区海冰具有不稳定漂流过程。2012年9月1日—2013年1月6日,DAWS所在海冰从西向西北方向漂流,2013年1月6日以后稳定地向东南方向漂流,平均移速为0.06m/s,最大达到0.4m/s。海冰漂流方向的突变和加速与穿极气旋和急流的影响有关。净辐射常出现短期突变过程,导致海冰从大气吸收能量,减缓了海冰的辐射冷却。爆发性增温过程的最大幅度达到30℃,是由强穿极气旋和伴随的暖湿气流向北极中心区输送引起,这种现象在中低纬度十分罕见。增温过程的作用是高空大气向冰面输送热量,导致海冰破裂,海冰硬度的脆变,减缓海冰厚度的增长,这种过程可能是北极海冰面积和厚度减少重要过程。 相似文献
17.
Offshore wind energy resources are operational in cold regions, while offshore wind turbines will face the threat of icing. Therefore, it is necessary to study icing of offshore wind turbines under different icing conditions. In this study, icing sensitivity of offshore wind turbine blades are performed using a combination of FLUENT and FENSAP-ICE software, and the effects of liquid water content (LWC), medium volume diameter (MVD), wind speed and air temperature on blade icing shape are analyzed by two types of ice, namely rime ice and glaze ice. The results show that the increase of LWC and MVD will increase the amount of ice that forms on the blade surface for either glaze ice or rime ice, and an increase of MVD will expand the adhesion surface between ice and blade. Before reaching the rated wind speed of 11.4 m/s, it does not directly affect the icing shape. However, after reaching the rated wind speed, the attack angle of the incoming flow decreases obviously, and the amount of ice increases markedly. When the ambient air temperature meets the icing conditions of glaze ice (i.e., −5°C to 0°C), the lower the temperature, the more glaze ice freezes, whereas air temperature has no impact on the icing of rime ice. Compared with onshore wind turbines, offshore wind turbines might face extreme meteorological conditions, and the wind speed has no impact on the amount of ice that forms on the blade surface for most wind speeds
相似文献18.
19.
The characteristic low-frequency oscillation of the sea surface temperature anomaly (SSTA) of ENSO related regions, Nino 1 + 2, Nino 3, Nino 4 and Nino West, and the Southern Oscillation index (SOI) is analyzed with the method of maximum entropy spectrum. Antarctic sea ice is divided into 4 regions, i. e. East Antarctic is Region Ⅰ (0°-120° E), the region dominated by Ross Sea ice is Region Ⅱ (120° E-120° W), the region dominated by Ross Sea ice is Region Ⅲ (120° W-0°), and the whole Antarctic sea ice area is Region Ⅳ. Also, the month-to-month correlation series of the sea ice with ENSO from contemporary to 5-years lag is calculated. The optimum correlation period is selected from the series. The characteristics and the rules obtained are as follows.1. There are a common 4-years main period of the SSTA of Ninos 1 + 2,3 and 4, a rather strong 4-years secondary period and a quasi-8-years main period of that of Nino West. There are also 1. 5 and 2 to 3-years secondary periods of that of all 4 Nin 相似文献
20.
基于2018年8月至2019年5月布放在北极随海冰漂流的自动气象站和温度链浮标获取的观测数据,分析了北极高纬度区域的大气特征和海冰生消过程。根据海冰的漂移轨迹分为两个阶段分析,第1阶段,海冰主要向东南漂移;第2阶段,海冰主要向东北漂移。第1阶段观测的平均气温和平均相对湿度分别为–6.6℃和93%,第2阶段观测的平均气温和平均相对湿度分别为–29.3℃和76%,第2阶段平均气压高于第1阶段。海冰的漂移轨迹主要受到波弗特高压外围气流的影响。利用自动气象站漂移轨迹计算得到海冰漂移速度,与美国国家冰雪数据中心海冰漂移速度比较显示,两者纬向速度更为接近。海冰在第1阶段以融化为主,海冰厚度略有减小,8月份海冰生长率为–0.11 cm/d;海冰的生长过程主要发生在第2阶段,1–3月生长率均超过0.9 cm/d,2019年3月海冰生长最快,平均生长率为1.3 cm/d,海冰的增长一直持续至观测结束。 相似文献