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931.
932.
933.
934.
To reconstruct the formation and evolution process of the warm current system within the East China Sea (ECS) and the Yellow Sea (YS) since the last deglaciation, the paleoceangraphic records in core DGKS9603, core CSH1 and core YSDPI02, which were retrieved from the mainstream of the Kuroshio Current (KC), the edge of the modem Tsushima Warm Current (TWC) and muddy region under cold waters accreted with the Yellow Sea Warm Current (YSWC) respectively, were synthetically analyzed. The results indicate that the formation and evolution of the modem warm current system in the ECS and the YS has been accompanied by the development of the KC and impulse rising of the sea level since the last deglaciation. The influence of the KC on the Okinawa Trough had enhanced since 16 cal kyr BE and synchronously the modem TWC began to develop with the rising of sea level and finally formed at about 8.5 cal kyr BP. The KC had experienced two weakening process during the Heinrich event 1 and the Younger Drays event from 16 to 8.5 cal kyr BP. The period of 7-6 cal kyr BP was the strongest stage of the KC and the TWC since the last deglaciation. The YSWC has appeared at about 6.4 cal kyr BP. Thus,the warm current system of the ECS and the YS has ultimately formed. The weakness of the KC,indicated by the occurrence of Pulleniatina minimum event (PME) during the period from 5.3 to 2.8 cal kyr BE caused the main stream of the TWC to shift eastward to the Pacific Ocean around about 3 cal kyr BP. The process resulted in the intruding of continent shelf cold water mass with rich nutrients. Synchronously, the strength of the YSWC was relatively weak and the related cold water body was active at the early-mid stage of its appearance against the PME background, which resulted in the quick formation of muddy deposit system in the southeastern YS. The strength of the warm current system in the ECS and the YS has enhanced evidently, and approached to the modern condition gradually since 3 cal kyr BP. 相似文献
935.
Because of the intrinsic difficulty in determining distributions for wave periods, previous studies on wave period distribution
models have not taken nonlinearity into account and have not performed well in terms of describing and statistically analyzing
the probability density distribution of ocean waves. In this study, a statistical model of random waves is developed using
Stokes wave theory of water wave dynamics. In addition, a new nonlinear probability distribution function for the wave period
is presented with the parameters of spectral density width and nonlinear wave steepness, which is more reasonable as a physical
mechanism. The magnitude of wave steepness determines the intensity of the nonlinear effect, while the spectral width only
changes the energy distribution. The wave steepness is found to be an important parameter in terms of not only dynamics but
also statistics. The value of wave steepness reflects the degree that the wave period distribution skews from the Cauchy distribution,
and it also describes the variation in the distribution function, which resembles that of the wave surface elevation distribution
and wave height distribution. We found that the distribution curves skew leftward and upward as the wave steepness increases.
The wave period observations for the SZFII-1 buoy, made off the coast of Weihai (37°27.6′ N, 122°15.1′ E), China, are used
to verify the new distribution. The coefficient of the correlation between the new distribution and the buoy data at different
spectral widths (ν=0.3−0.5) is within the range of 0.968 6 to 0.991 7. In addition, the Longuet-Higgins (1975) and Sun (1988)
distributions and the new distribution presented in this work are compared. The validations and comparisons indicate that
the new nonlinear probability density distribution fits the buoy measurements better than the Longuet-Higgins and Sun distributions
do. We believe that adoption of the new wave period distribution would improve traditional statistical wave theory. 相似文献
936.
A total of 400 yeast strains from seawater, sediments, saltern mud, marine fish guts, and marine algae were obtained. The
protease activity of the yeast cultures was estimated, after which four strains (HN3.11, N11b, YF04C and HN4.9) capable of
secreting extracellular alkaline protease were isolated. The isolated strains were identified as Aureobasidium pullulans, Yarrowia lipolytica, Issatchenkia orientalis and Cryptococcus cf. aureus. The optimal pH of the protease activity produced by strains HN3.11, YF04C, and HN4.9 was 9.0, while that of the protease
produced by strain N11b was 10.0. The optimal temperature for protease activity was 45°C for strains HN3.11, N11b, and YF04C,
and 50°C for strain HN4.9. After digestion of shrimp (Penaeus vannamei) protein and spirulina (Arthospira platensis) protein with the four crude alkaline proteases, the filtrate from spirulina (Arthrospira platensis) powder digested by the crude alkaline protease of strain HN3.11 was found to have the highest antioxidant activity (61.4%)
and the highest angiotensin I converting enzyme (ACE)-inhibitory activities (68.4%). The other filtrates had much lower antioxidant
activity and ACE-inhibitory activities. 相似文献
937.
A group of coenocytic marine algae differs from higher plants,whose totipotency depends on an intact cell(or protoplast).Instead,this alga is able to aggregate its extruded protoplasm in sea water and generate new mature individuals.It is thought that lectins play a key role in the aggregation process.We purified a lectin associated with the aggregation of cell organelles in Bryopsis hypnoides.The lectin was ca.27 kDa with a pI between pH 5 and pH 6.The absence of carbohydrate suggested that the lectin was ... 相似文献
938.
目前,由空间数据引擎管理遥感影像数据的技术已经非常成熟,但在对多源遥感影像数据的合理组织和有效管理以及数据共享方面,还需要寻求更有效的方法。本文在分析不同遥感影像类型的基础上,结合罗布泊“大耳朵”地区研究的需要,设计实现了该区多源遥感影像数据库。讨论了逻辑上设计相同空间分辨率和不同空间分辨率的多源遥感影像数据存储的方法。即根据遥感影像数据的空间分辨率进行分类,并通过遥感影像元数据表建立多源遥感影像数据之间的逻辑关联来组织和管理影像数据的设计方法。该方法的成功运用,为多源遥感影像数据库的设计与建设提供了参考。 相似文献
939.
太湖水质参数MODIS的遥感定量提取方法 总被引:1,自引:0,他引:1
本文利用MODIS数据的可见光、近红外波段和准实时的地面采样数据,分别利用线性回归模型和神经网络模型反演了太湖的叶绿素a和悬浮物浓度.结果表明,利用MODIS数据的波段组合(M2/M8)和(M2/M9)可估算太湖的叶绿素a浓度;而MODIS数据的波段组合(M12/M17)、(M13/M17)及MODIS(M4)波段能定量估算太湖的悬浮物浓度,但估算精度仍不能满足实际需要.因此,构建了一个以MODIS可见光及近红外波段为输入,以太湖水质参数为输出的2层BP神经网络模型反演太湖的水质参数,大大提高了反演精度. 相似文献
940.
基于公平性的水环境容量分配研究——以沱江流域为例 总被引:1,自引:0,他引:1
公平与效益是容量分配的两个重要原则.在我国目前采用的水环境容量无偿分配方式下,公平原则是需遵循的首要原则,在公平的基础上追求效益.以沱江流域为对象,综合考虑涉及区域的社会、经济、自然等客观因素,筛选指标确定系数对流域容量进行分配.应用经济学中衡量收入公平的基尼系数概念,对分配结果的公平性进行评估,给出综合体现社会性、经济性和历史性的水环境容量分配方案. 相似文献