浅析翡翠的岩石类型对其比重、折射率的影响

翡翠的矿物组成、岩石类型不同，将会对翡翠的比重、折射率产生直接的影响。从翡翠的岩石学、矿物学角度出发，讨论了翡翠的岩石类型，依据组成翡翠的主要矿物的比重和折射率值，建立了翡翠矿物组成成分及含量与其比重、折射率关系图解，确定了各种翡翠的比重、折射率变化范围分别为：2．93～3．60和1．593～1．750；优质翡翠的比重、折射率分别为：3．178-3．240和1．644～1．657．为翡翠的质量评估提供了客观依据。     

形变地球对不同驱动力的响应

地球形变位移场和重力场的时空变化无论在基础理论研究,还是在地理空间信息建设中都具有重要的意义.地球在各种力学机制的作用下产生了形变,形变又导致地球引力位的变化,即形变附加位或Euler引力位增量.基于矢量球函数的基本理论,讨论了引潮力、负载力和地表应力对地球形变和引力位增量的影响,给出了均匀不可压缩地球模型的Euler引力位增量的具体表达式和Love数的理论关系.可为地球形变的理论研究提供参考和依据.     

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医疗设施布局的GIS优化评价——以翔安区医疗设施为例

开展现有医疗设施布局的分析与评价,对解决公众医疗需求与医疗服务供给的矛盾,以及政府部门决策具有重要意义。本文在厦门市第一次全国地理国情普查试点的背景下,以翔安区医疗设施为研究对象,在地理国情普查数据结果的基础上,结合卫生等专业部门的统计数据,从医疗设施的现状、服务水平和空间布局优化3个角度,构建了医疗设施布局的评价指标体系。从医疗卫生角度分析医疗资源现状特征;基于GIS网络分析开展医疗设施服务水平的分析与评价;利用GIS"位置分配模型"对医疗设施空间布局进行优化。最后,本文对医疗设施布局提出改善建议和措施。研究结果表明:(1)翔安区医疗资源总量不足,分布不均衡;(2)城乡医疗设施差异明显,医疗服务水平不高;(3)翔安区需新增4家医院,5家卫生院才能满足居民就医需求。本研究可以为今后翔安区医疗设施布局决策提供借鉴和参考,为医疗设施布局评价提供一个可行的方法。     

洞庭青鲫(Carassius auratus var.Dongtingking)与三个鲫品系群体遗传多样性的ISSR分析

采用ISSR分子标记技术,对洞庭青鲫(Carassius auratus var.Dongtingking)、野生二倍体和三倍体鲫(C.auratus)、彭泽鲫(C.auratus var.Pengze)4个鲫品系群体共120个个体的遗传多样性进行分析。9个ISSR引物在四个鲫品系群体中共获得1637个扩增位点,其中多态位点1572个,多态位点比例为96.03%。4个鲫品系群体内的多态位点比例分别为46.14%、65.40%、73.76%和51.94%,遗传距离分别为0.0905、0.1186、0.1351和0.1056。在4个鲫品系群体之间,洞庭青鲫与彭泽鲫的遗传距离最小(0.1191),二倍体鲫和三倍体鲫的遗传距离次之(0.1336),而洞庭青鲫、彭泽鲫与二倍体鲫的遗传距离(分别为0.1377、0.1367)略小于它们与三倍体鲫的遗传距离(均为0.1378)。UPGMA聚类结果为洞庭青鲫与彭泽鲫聚成一个分支,二倍体鲫与三倍体鲫聚成另一个分支。结果表明,洞庭青鲫、彭泽鲫等养殖群体内的遗传多样性明显低于野生鲫群体;四个鲫品系中,洞庭青鲫与彭泽鲫的亲缘关系较近,二倍体鲫与三倍体鲫的亲缘关系较近,推测洞庭青鲫、彭泽鲫、三倍体鲫均起源于二倍体鲫。二倍体洞庭青鲫和二倍体野生鲫资源的保护必须引起重视。     

松江鲈(Trachidermus fasciatus)泛素结合酶E2-D2基因的分子克隆及组织表达分析

泛素结合酶(UbcE2)是蛋白泛素化过程中所必需的酶,在泛素转移和底物的特异性识别方面发挥着重要的作用。本实验利用RACE技术克隆获得了全长为993bp的松江鲈泛素结合酶E2-D2基因cDNA序列(命名为TfUbcE2-D2),其开放阅读框为444bp,编码147个氨基酸。通过SMART预测得知,TfUbcE2-D2含有一个UBCc结构域。同源比对结果表明该基因与其他物种的同源性为92.31%。实时荧光定量PCR显示,TfUbcE2-D2广泛表达于松江鲈各组织,在肾脏中的相对表达量最高,其次为鳃。鳗弧菌(Vibrio anguillarum)刺激后,TfUbcE2-D2在血液、脾脏、肝脏和鳃中表达均上调,其中,脾脏和鳃中的表达量上调约40倍。由以上实验结果推测,TfUbcE2-D2可能参与松江鲈的先天免疫防御。     

粤西沿海一次赤潮事件的三维观测

From November 24 to 26, 2014, a red tide event occurred in the offshore water off the Hailing Island located at the western Guangdong coast. The red tide appeared as pink strips distributed within 3 km in the offshore water and extended for about 10 km along the shoreline. During the flood tide, the pink seawater rushed to the beach with breaking waves, forming foam strips on the beach. Guangdong Province Key Laboratory for Coastal Ocean Variation and Disaster Prediction Technologies, Guangdong Ocean University, emergently responded to the event and organized three-dimensional observations from the air, onboard and on beach. The preliminary analyses of the cruise data and water samples indicate that the event was induced by nontoxic Noctiluca scintillans, of which the concentration reaches as high as 4 200 cells/L near the surface and 2 600 cells/L at the bottom.     

基于小波变换和HIS变换的海冰SAR与光学遥感影像融合方法研究

Sea ice as a disaster has recently attracted a great deal of attention in China. Its monitoring has become a routine task for the maritime sector. Remote sensing, which depends mainly on SAR and optical sensors, has become the primary means for sea-ice research. Optical images contain abundant sea-ice multi-spectral information, whereas SAR images contain rich sea-ice texture information. If the characteristic advantages of SAR and optical images could be combined for sea-ice study, the ability of sea-ice monitoring would be improved. In this study, in accordance with the characteristics of sea-ice SAR and optical images, the transformation and fusion methods for these images were chosen. Also, a fusion method of optical and SAR images was proposed in order to improve sea-ice identification. Texture information can play an important role in sea-ice classification. Haar wavelet transformation was found to be suitable for the sea-ice SAR images, and the texture information of the sea-ice SAR image from Advanced Synthetic Aperture Radar(ASAR) loaded on ENVISAT was documented. The results of our studies showed that, the optical images in the hue-intensity-saturation(HIS) space could reflect the spectral characteristics of the sea-ice types more efficiently than in the red-green-blue(RGB) space, and the optical image from the China-Brazil Earth Resources Satellite(CBERS-02B) was transferred from the RGB space to the HIS space. The principal component analysis(PCA) method could potentially contain the maximum information of the sea-ice images by fusing the HIS and texture images. The fusion image was obtained by a PCA method, which included the advantages of both the sea-ice SAR image and the optical image. To validate the fusion method, three methods were used to evaluate the fused image, i.e., objective, subjective, and comprehensive evaluations. It was concluded that the fusion method proposed could improve the ability of image interpretation and sea-ice identification.