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面向城市导游的无缝服务研究

智能导游服务已从传统的单一景区导游发展为城市多景区导游,因此,包含了景区间导游和景区内导游两大部分;表现为更加注重面向散客服务、兼容多移动智能终端以应用程序(App)的方式运行。由于景区间导游和景区内导游往往自成系统,在游客进出景区的过程中存在着两种系统的切换,且主要采用手动方式完成,尚没有实现城市多景区导游过程的无缝衔接。为了应对这个挑战,本文设计了一个面向城市多景区的无缝导游服务模式,分析了其架构以及工作机制;并着重讨论了城市无缝导游服务的关键技术,如系统间无缝切换的条件,包含判断游客进入、离开景区等;以及导游服务过程无缝衔接的机制,包含导游动态数据结构的设计,游客游览需求、导游过程状态在多导游系统间的传递等。最后通过实例验证了该方法的有效性,作为新的导游服务模式,同时为动态集成已有的导游App提供了解决方法。     

Identification of five sea cucumber species through PCR-RFLP analysis

Sea cucumbers are traditional marine food and Chinese medicine in Asia. The rapid expansion of sea cucumber market has resulted in various problems, such as commercial fraud and mislabeling. Conventionally, sea cucumber species could be distinguished by their morphological and anatomical characteristics; however, their identification becomes difficult when they are processed. The aim of this study was to develop a new convenient method of identifying and distinguishing sea cucumber species. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis of mitochondrial cytochrome oxidase I gene (COI) was used to identifing five sea cucumber species (Apostichopus japonicus, Cucumaria frondosa, Thelenota ananas, Parastichopus californicus and Actinopyga lecanora). A 692 bp fragment of COI was searched for BamHI, KpnI, PstI, XbaI and Eco31I restriction sites with DNAMAN 6.0, which were then used to PCR-RFLP analysis. These five sea cucumber species can be discriminated from mixed sea cucumbers. The developed PCR-RFLP assay will facilitate the identification of sea cucumbers, making their source tracing and quality controlling feasible.     

闽北地区边界层移动风廓线雷达对比试验评估

为了更好地把握风廓线雷达的探测性能和数据精度,对移动风廓线雷达与L波段探空雷达资料进行对比统计分析,结果表明：移动风廓线雷达的有效数据获取率达到80％的高度为3500m,符合边界层风廓线雷达的有效探测高度。移动风廓线的径向速度平均差和标准差随着高度的增加而增加,东西方向的径向速度误差比南北方向的高约0．5—1．0m／s。风廓线雷达自身数据的准确性良好,但是降雨对数据的准确性影响比较大。这次对比试验结果表明,对比试验应该选择比较平稳的天气过程。由于秋冬季节大气环流比较稳定,降雨类型多为层状云降雨,因而风廓线雷达数据可靠性高;对流性降雨过程往往造成风廓线雷达资料可靠性降低。     

海洋生境刀鲚菌群PCR-DGGE指纹图谱构建及分析

为了分析海洋生境刀鲚(Coilia nasus)体内及生长环境菌群结构,作者采用免培养16S r DNA的PCR-DGGE指纹图谱技术,对刀鲚鳃、肠道壁、肠道内容物及水体环境中的菌群结构进行了对比分析。结果表明:变性梯度为35%~55%、浓度为8%的聚丙烯酰胺凝胶,150V 60℃下电泳10 h,DGGE带谱的分离效果较好;刀鲚鳃、肠道壁、肠道内容物及水体样品指纹图谱上分别显示出24、19、14和29条信号强度不同的条带;相同样品重复组细菌结构相似度在80%以上,差异不显著;不同样品之间,刀鲚鳃与海水聚为一支,具有较高的相似度为52%,肠壁与肠内容物相似度为41%。样品菌群主要以未培养菌为主,主要包括变形菌、放线菌和厚壁菌。本文首次成功构建海洋生境刀鲚菌群16S r DNA的PCR-DGGE指纹图谱。     

应用样条插值提高GRAPES模式物理过程反馈精度

GRAPES (Global/Regional Assimilation and PrEdiction System) 模式动力框架中垂直方向变量的跳层设置采用Charney-Phillips分布,在整层上进行位温、水物质的计算,物理过程中在半层上对其进行处理。这样在GRAPES模式中,进入物理过程之前和物理过程计算完毕之后,都要采用线性插值进行整层和半层之间物理量的转换。由于线性插值精度欠佳,为提高上述反馈过程的精度,并保证水物质的正定性,该研究引入样条插值,并在水物质的插值过程中进行保单调处理,有效减小了位温场、水物质场的预报偏差,并提升了模式的综合预报性能。     

以黑体为目标的能见度参考标准试验研究

黑体为目标的能见度测量是从科西米德定律出发,通过工业相机对黑体目标物进行拍摄,建立黑体和背景天空的数学模型,求得能见度。分析表明:当能见度小于30 km,黑体黑度和CCD(change-coupled device)工业相机的面非均匀性对该方法测得的能见度造成的误差约为3.7%。该方法与前向散射能见度仪测量进行对比,能见度变化趋势上具有一致性;但在高能见度时,黑体能见度测量值大于前向散射能见度测量值,低能见度时,黑体测量值小于前向散射能见度测量值。     

Fusion of high-resolution DEMs derived from COSMO-SkyMed and TerraSAR-X InSAR datasets

Voids caused by shadow, layover, and decorrelation usually occur in digital elevation models (DEMs) of mountainous areas that are derived from interferometric synthetic aperture radar (InSAR) datasets. The presence of voids degrades the quality and usability of the DEMs. Thus, void removal is considered as an integral part of the DEM production using InSAR data. The fusion of multiple DEMs has been widely recognized as a promising way for the void removal. Because the vertical accuracy of multiple DEMs can be different, the selection of optimum weights becomes a key problem in the fusion and is studied in this article. As a showcase, two high-resolution InSAR DEMs near Mt. Qilian in northwest China are created and then merged. The two pairs of InSAR data were acquired by TerraSAR-X from an ascending orbit and COSMO-SkyMed from a descending orbit. A maximum likelihood fusion scheme with the weights optimally determined by the height of ambiguity and the variance of phase noise is adopted to syncretize the two DEMs in our study. The fused DEM has a fine spatial resolution of 10 m and depicts the landform of the study area well. The percentage of void cells in the fused DEM is only 0.13 %, while 6.9 and 5.7 % of the cells in the COSMO-SkyMed DEM and the TerraSAR-X DEM are originally voids. Using the ICESat/GLAS elevation data and the Chinese national DEM of scale 1:50,000 as references, we evaluate vertical accuracy levels of the fused DEM as well as the original InSAR DEMs. The results show that substantial improvements could be achieved by DEM fusion after atmospheric phase screen removal. The quality of fused DEM can even meet the high-resolution terrain information (HRTI) standard.     

LiDAR点云数据的电力线3维重建

利用LiDAR数据进行电力设施提取与建模可以克服传统工程测量电力巡线工作量大,危险性高,效率低下等缺点,但现有的电力线提取研究主要集中在电力线的分离与提取,并且拟合的精度不高。针对此问题本文提出了一种精度较高的电力线拟合方法。首先,根据电力线两端悬挂、中间自然下垂的特点,求解电力线拟合的最佳几何模型;然后,通过电力线的走向和端点,建立电力线拟合的最佳平面坐标系;最后,采用基于二次多项式限制的最小二乘法拟合电力线,解算出最优参数,生成最终电力线模型。对真实数据的处理和精度评价表明,本文方法不仅能够实现电力线的快速3维重建,而且能够达到较高的拟合精度。     

Variability of Atlantic Meridional Overturning Circulation in FGOALS-g2简

The variability of Atlantic Meridional Overturning Circulation （AMOC） in the pre-industrial control experiment of the Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 （FGOALS-g2） was investigated using the model outputs with the most stable state in a 512-yr time window from the total 1500-yr period of the experiment. The period of AMOC in FGOALS-g2 is double peaked at 20 and 32 years according to the power spectrum, and 22 years according to an auto-correlation analysis, which shows very obvious decadal variability. Like many other coupled climate models, the decadal variability of AMOC in FGOALS-g2 is closely related to the convection that occurs in the Labrador Sea region. Deep convection in the Labrador Sea in FGOALS-g2 leads the AMOC maximum by 3-4 years. The contributions of thermal and haline effects to the variability of the convection in three different regions [the Labrador, Irminger and Greenland-Iceland- Norwegian （GIN） Seas] were analyzed for FGOALS-g2. The variability of convection in the Labrador and Irminger Seas is thermally dominant, while that in the colder GIN Seas can be mainly attributed to salinity changes due to the lower thermal expansion. By comparing the simulation results from FGOALS-g2 and 11 other models, it was found that AMOC variability can be attributed to salinity changes for longer periods （longer than 35 years） and to temperature changes for shorter periods.