虾夷扇贝天然苗种筛选装置的研究与应用

随着贝类底播增养殖产业的迅猛发展,为保证底播贝苗的成活率,养殖企业对天然苗种更加重视。天然苗种采用中间育成方法,需要对苗种进行筛选作业,但目前筛选作业仍以人工作业为主,存在作业效率低、劳动强度大等问题。作者通过对大连地区虾夷扇贝(Patinopecten yessoensis)天然苗种筛选作业调研的基础上,设计了满足生产实际需求的扇贝苗种筛选装置,可实现3种规格贝苗的筛选作业。试验分2阶段进行,第1阶段对影响筛选准确性的因素进行正交分析于验证,确定了最佳工艺参数;第2阶段在大连旅顺进行的生产性对比试验得出,机械筛选的平均准确率为91.33%,误差率低于10%,且5组筛选结果无显著性差异(P0.05);同时机械筛选的平均作业效率为80g/(人/min),约为人工筛选作业效率的8倍。由此说明扇贝苗种筛选装置具有较高的准确性、稳定性和高效性,具有推广应用价值。     

南海北部陆坡深水区浅层天然气藏特征

南海北部陆坡深水区的浅层天然气藏是一种伴随天然气水合物的新型油气藏, 具有埋藏浅、规模大的特点, 其埋藏深度一般小于300m。浅层天然气藏由深部裂解气沿断裂上升被天然气水合物封盖而形成, 识别似海底反射(BSR)是寻找浅层天然气藏有效方法。浅层天然气藏的气源主要有热解气、生物气和混合气, 陆坡张性断裂是气体运移的主要通道, 水合物下部的砂层是浅层天然气藏的主要储集层, 水合物层则是封盖层。从南海发现的天然气水合物分布特征看, 浅层天然气藏在陆坡深水区广泛分布且气藏厚度大, 潜在资源量非常可观, 是一种新型的开采成本相对低廉的油气藏。     

Micromorphology and quality attributes of the loess derived soils affected by land use change: A case study in Ghapan watershed, Northern Iran

In order to study the effects of different land vegetative covers on soil quality attributes, a loess hill slope was selected in eastern Golestan Province, Ghapan watershed, Iran. Four profiles in four land uses, including Quercus natural forest; Pinus artificial forest; Cupressus artificial forest and a cultivated land, were studied. Results showed that MWD was significantly different in the studied land uses, and it varied between 1.6 mm in Quercus natural forest and o.31 mm in cultivated land use. The lowest CEC, microbial respiration rate and organic carbon were 28.4 cmol·kg^1, 177 μgCO2·g^-1·day^-1 and 1.32 % found in cultivated land use, respectively. The organic matter was considerably higher content in the forest areas than that of cultivated land use. The studies on soil profile development revealed that the natural forest soils were highly developed. The soils of the Quercus natural forest were classified as Calcic Haploxeralfs with a well developed argillie horizon unlike the cultivated soils which showed the minimum development and classified as Typic Xerorthents. The soils of the artificial forests had both mollic epipedons and were classified as Typic Calcixerolls with moderate profile development. Micromorphological studies revealed that argillic horizons had speckled and partly crystallitic b-fabric in the natural forest indicating the high landscape stability. In contrast, the crystallitic b-fabric of other land uses shows the absence of enough leaching of carbonate and the subsequent migration of clay particles indicating the unstable conditions and high soil erosion. Intense erosion of the surface horizons of cultivated land use has resulted in the outcropping of the subsurface carbonate rich horizons preventing soil development.     

Characterization of a new lectin involved in the protoplast regeneration of <Emphasis Type="Italic">Bryopsis hypnoides</Emphasis>

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 ...     

Grey relational analysis on the relation between marine environmental factors and oxidation-reduction potential

The effects of marine environmental factors-temperature(T),dissolved oxygen(DO),salinity(S) and pH-on the oxidation-reduction potential(ORP) of natural seawater were studied in laboratory.The results show an indistinct relationship between these four factors and the ORP,but they did impact the ORP.Common mathematical methods were not applicable for describing the relationship.Therefore,a grey relational analysis(GRA) method was developed.The degrees of correlation were calculated according to GRA and the va...     

小视场CCD图像的几何定标

针对长焦距望远镜CCD观测天然卫星的情况，导出了用两颗亮星作为定标时，CCD视场几何参数(比例尺和指向)测量的误差公式，进而设计了多定标星定标时正确的归算方案。新方案不仅对天然卫星的位置测量，也对同类型的小视场CCD位置测量具有指导意义。     

基于改进EWT和LogitBoost集成分类器的地震事件分类识别算法

快速、准确地识别天然地震和人工爆破事件是地震台网监测的重要工作之一,也是提高地震观测记录质量、开展地震研究工作的重要基础。针对反向传播神经网络、支持向量机等主流分类识别方法在地震事件分类识别应用上的不足,提出一种基于改进EWT和LogitBoost集成分类器的地震事件分类识别算法。首先,基于S谱能量曲线对传统经验小波变换进行改进,将信号自适应分解为按频率和能量分布的本征模函数;其次,提取P波与S波最大振幅比,前4个本征模函数的香农熵、对数能量熵,以及去噪后重构信号主频等特征;最后,采用基于集成学习LogitBoost的决策树集成分类器进行分类。实验结果表明,所提算法具有较高的鲁棒性,能有效解决样本不足的问题,识别准确率达93.1%以上,比集成学习AdaBoost、反向传播神经网络和支持向量机等方法提高了1%以上,且分类识别效果好。     

构造对龙门山北段沥青矿成矿控制作用分析及启示——以青川田坝天然沥青矿为例

通过野外地质调查和解剖青川田坝天然沥青矿,揭示了构造对天然沥青矿成矿的控制作用。在此基础上结合油气成藏理论初步提出了找矿有利地段。通过本次调查表明：(1)彭灌-江油冲断构造带是区内沥青矿成矿主控构造;(2)构造控制了沥青矿空间分布、形态,以及沥青矿成矿;疏散与彭灌-江油冲断构造带相连接的容矿空间是沥青矿成矿的有利部位。     

寻找湖南最好的矿泉水

湖南省矿泉水资源丰富,类型齐全,已发现327处饮用天然矿泉水、160多处医疗矿泉水,水质好,是我国矿泉水资源大省,具有很好的开发前景。