不同饵料组成对花鲈幼鱼生长和生理活性影响研究

为探究不同饵料组成对北方人工繁育花鲈(Lateolabrax maculatus)幼鱼生长和生理活性的影响,优化花鲈幼鱼饵料组成,作者采用投喂不同组成的饵料研究其对花鲈幼鱼的生长和消化酶活性的影响,实验采用63日龄幼鱼,设4个处理组,分别组1投喂卤虫(Artemia)、组2高蛋白配合饲料、组3低蛋白配合饲料和组4冰鲜桡足类,共40 d。结果表明,组2的生长速度、最终体长、体质量、特定生长率、绝对生长率、增质量率均大于其余3组,组3的生长状况次之,但与其他2组并无显著性差异(P0.05);除组1的蛋白酶最大活性出现在实验中期,其他3组的蛋白酶变化与其生长状况相符,最大值均出现在103日龄,各组间差异显著;4组的淀粉酶活性呈上升趋势,在103日龄时,组1的淀粉酶活性大于组2,并显著大于组3和组4;组1的脂肪酶活性在实验后期迅速上升,并在103日龄达到最大值,而其余3组的脂肪酶活性呈下降趋势,103日龄时组3和组4脂肪酶活性显著小于组2和组1(P0.05)。研究表明,花鲈幼鱼摄食高蛋白配合饲料生长状况最好,摄食低蛋白配合饲料生长状况次之,摄食卤虫状况最差,出于经济的考虑,建议投喂低蛋白配合饲料。     

利用浮标资料初步评估NCEP再分析湍通量

通过与浮标观测资料的对比分析,指出NCEP动量通量、再计算NCEP热通量更能够代表NCEP再分析数据库的数值模拟效果。当风速大于20m/s时,数值模拟的湍通量低于浮标块体湍通量,当风速在10～20m/s时,数值模拟的湍通量高于浮标块体湍通量。同时还发现数值模拟结果的延迟现象,以及不能反映大风过后快速的海气温差变化而引起的感热通量变化。     

基于ECDIS的多数据源支持技术分析

利用多源地理空间数据集成和融合理论,研究了基于ECDIS的多数据源支持技术。介绍了常用的多源海图数据及其使用原则,分析了ECDIS多数据源支持技术的特点及内涵,总结了国内外常用多源海图数据集成方法,从数据可用性角度探讨了提高国产电子海图系统适用性的措施。     

Integrated assessment on sea water quality based on the fuzzy neural network

根据俚岛镇海湾22个海洋观测点的水质监测数据,依据人工神经网络与模糊理论,建立模糊神经网络模型,对研究区海水水质进行了综合评价.结果表明,区域内40.91％的采样点属于Ⅰ类海水水质标准,其余为Ⅱ类海水水质.其中,水质Ⅱ类区位于临络湾与俚岛湾的半封闭海域,因该区造船业对水体造成污染且海水对流强度较弱,不利于污染物的扩散;而海水水质Ⅰ类区域靠近黄海,工业活动较少,水体对流较强,利于污染物扩散.     

近22年来南沙海区的气温变化

运用南沙永署礁气象观测站1989—2010年的气温资料,对近22年来南沙海区的气温变化进行了分析,结果表明:近22年来南沙海区气温分两个阶段呈阶梯上升趋势,增长率为0.336℃/10年,升温幅度白天大于夜间。四季中秋季升温幅度最大,冬季升温幅度最小。2010年是近22年来南沙海区最暖的一年。     

应用波浪数值模式对北印度洋海浪场进行计算和统计分析

以11年QSCAT/NCEP混合风场数据为输入,采用WAVEWATCH-Ⅲ波浪模式,对北印度洋海域1999-2009年的海浪场进行了数值计算。与Janson-1高度计波浪资料进行对比验证后发现,波浪计算结果较好。将计算结果进行统计分析,得出北印度洋风浪有如下特点:(1)冬季盛行东北向浪,夏季盛行西南向浪;(2)北印度洋中部波高较大,北部和南部较小。夏季波高全年最大,较冬季强盛得多;冬季次之,春季最小。     

秋茄和榕树叶片中正构烷烃分布和单体化合物δ13C值及其光合作用

对深圳福田、阳江、海南新竹红树林秋茄Kandelia candel及海口榕树Ficusm icrocarpa叶中类脂物进行萃取,分离出正构烷烃,通过气相色谱(GC)及色谱-质谱(GC MS)分析,测出了正构烷烃的碳数分布和相对含量.气相色谱-稳定同位素比质谱仪(GC-IRMS)测定了正构烷烃单体化合物的稳定同位素组成δ13C.秋茄叶和榕树叶正构烷烃的碳数分布均为C17C33,主要集中在C23-C31(＞90%).化合物含量最高为C27的有深圳福田秋茄、海南新竹秋茄、海口榕树,而阳江秋茄为C25.单体化合物的稳定同位素δ13C深圳福田秋茄为-31.42‰-34.48‰,阳江秋茄为-31.69‰-33.62‰,海南新竹秋茄为-30.30‰-33.04‰,海口榕树为-29.92‰33.56‰;平均值分别为-32.95‰、32.67‰、31.67‰、-31.74‰.结果表明,秋茄和陆地植物榕树的光合作用都是通过C3途径,是典型C3植物.     

风浪周期分布与谱宽度的关系

本文通过分析实验室风浪周期分布,发现风浪周期累积概率分布曲线低于Longuet-Higgins理论结果,在小概率周期区域实验结果与理论结果的差异明显。对实验结果进一步分析发现,在谱不是很窄时,在小概率处风浪周期累积概率随谱宽度的增大而降低,这与窄谱假定下的理论结果相反,Longuet-Higgins理论结果在小概率处不便于描述周期分布随谱宽度的变化。根据实验结果提出风浪周期的Weibull分布经验公式,Weibull分布中的参数依赖于谱宽度。     

Development of the Automatic Seeing Monitor for the Site Testing of Dome A

The Antarctic site-testing campaigns have shown that Dome C is an excellent astronomical site on the earth, it is better than any of existing mid-latitude astronomical sites in the world, because of its cold and dry weather, low infrared background radiation, continuously observable time as long as 3–4 months, clear and highly transparent atmosphere, low wind speed, and the absence of dust and light pollution. And in the international astronomical community it is generally believed that Dome A with a higher altitude may be better than Dome C as a potential excellent astronomical site. In the past 3 years, although held by the Center for Antarctic Astronomy of Chinese Academy of Sciences, the site testing at Dome A has preliminarily con?rmed the many advantages of Dome A as an excellent astronomical site, but the data about the atmospheric seeing, which is an important parameter for assessing the site quality for optical observations, have not been obtained until now. Hence, on the basis of a commercial telescope with the diameter of 35 cm, we have made the hardware reformation and software development to have it operate as a DIMM (Differential Image Motion Monitor), which can simultaneously monitor both the seeing and isoplanatic angle at Dome A automatically. At present this instrument has been shipped to Antarctica by the “Xuelong” exploration ship, and will be installed at Dome A, and begin to work in early 2011. Before the shipment, by through the comparative measurements together with an existing seeing monitor at the Xinglong astronomical station, the software, hardware, as well as the installation and adjustment of the instrument, are further veri?ed by testing.     

Analysis of Spatial Mismatch of Tourism Development in Guangdong Province

The spatial mismatch situation of tourism development in Guangdong Province is analyzed by gravity model and two-dimensional matrix based on the spatial mismatch hypothesis, and the results are visualized using ArcGIS software. This study finds that varying degrees of spatial mismatch exist between the level of tourism development, abundance of tourism resources and accessibility of tourism locations in the 21 cities in Guangdong Province. The gravity centers for tourism economy, tourism resources and tourism location are (113.55° E, 23.00° N), (113.69° E, 23.21° N) and (113.74° E, 22.86° N), respectively. According to the two-dimensional combinatorial matrices, synchronous development is shown in 10 prefecture-level cities for the tourism revenue-resource abundance combination, whereas it is shown in seven prefecture-level cities for the tourism revenue-tourism location combination. Guangzhou and Shenzhen are synchronous-double high zones for both combinations, while Foshan, Qingyuan, Yangjiang, Zhongshan and Jieyang are deviating-negative mismatch zones for both combinations. Furthermore, the vast majority of prefecture-level cities within the province currently present mismatching trends in tourism development. Based on the analysis results, corresponding countermeasures and suggestions are put forward taking into account the actual situation and opportunities for further tourism development in various prefecture-level cities.