海底地形图表达方法探讨

为实现海底地形多样化表示与服务,丰富海底地形图表示样式,分析了海底地形图的主要内容,研究了海底地形图可视化表达机制。结合多源海底地貌与底质数据的特点,提出了基于颜色扩展联合图形符号、可灵活组合的海底地形图表示策略,给出了水深注记、等深线、深度区、海底底质这4类主要海底地形要素的具体表达方法。试验表明,设计的可视化表达方法能实现不同类型、不同来源、不同质量差异的多类型海底地形数据的有效表达,为海底地形数据的多样化表达提供参考。     

"蛟龙"号载人潜水器的布放回收系统及其关键技术

“蛟龙”号是我国首台载人潜水器,也是全球下潜深度最大的作业型载人潜水器。为使“蛟龙”号具有更大的作业空间,其布放回收系统须满足三级海况下布放和四级海况下回收的作业需求。文章介绍“蛟龙”号布放回收系统的系统组成和关键技术,并对其实际应用情况进行分析和总结。研究结果表明：“蛟龙”号的布放回收系统主要包括A形架、拖曳绞车和升降轨道车;拖曳绞车和A形架主吊缆的恒张力控制系统实现布放回收系统的升沉补偿功能,可满足“蛟龙”号三级海况下布放和四级海况下回收的需求;升降轨道车同时可作为“蛟龙”号日常存放、保养和维修的载体。     

AUV矢量推进水动力计算及水平回转操纵性试验

针对矢量推进模式下的 AUV 水动力性能和操纵性能,开展了 AUV 矢量推进水动力 CFD 计算, 对矢量推进水平回转操纵性进行了评估,加工了矢量推进样机,并进行湖上操纵性验证。理论计算和试验数据表明：矢量推进具备极高的低速操纵性,该研究为矢量推进在 AUV 上的应用提供了理论和技术基础。     

基于深度学习的赤潮发生预报方法研究

赤潮作为海洋灾害,对海洋渔业、生态、经济,以及人类生产、生活造成了严重影响。一直以来,赤潮受到研究者的广泛关注,但由于它的形成机制比较复杂,使得赤潮预报极具挑战性。针对赤潮预报的研究问题,本文收集了厦门海域赤潮发生前后的海洋监测数据,结合皮尔逊相关系数、散布矩阵、复相关系数方法,分析多环境因子与赤潮发生多要素的关联情况,重点采用基于深度学习的LSTM与CNN融合方法,挖掘环境因子的时序依赖,发现序列数据的局部特征,对赤潮发生进行预报。在厦门一号和厦门二号数据集中,本方法在预报未来12 h内的赤潮情况时,RMSE、MAE误差分别达到0.521 8、0.504 3。通过协同对比模型进一步确定赤潮发生的预报概率,在两个数据集上的最终预报准确率分别为67.58%和63.49%。本研究为赤潮的分析预报提供了探索经验,证明了将深度学习方法应用于赤潮预报的可行性。     

台湾以东黑潮路径识别与变化规律

为研究对中国台湾以东海域黑潮路径及其变化,本文基于法国空间局AVISO中心提供的1993—2015年的卫星遥感海表流场逐日资料,对121°—125°E,22.4°—25°N海域黑潮路径进行了逐日识别,得到了共计23年累计8400天的台湾以东黑潮流轴的逐日路径,并研究其在不同纬度的流轴位置及其对应的表面黑潮流量的时空变化规律。主要结论如下:(1)采用模糊C-均值聚类法对台湾以东黑潮流轴路径进行聚类分析,发现台湾以东黑潮流轴在24°N以南出现明显摆动,形成正常和偏东两种路径;黑潮流轴存在明显的时间变化,流轴偏东现象年平均大约出现25次,大致每隔3年出现一次偏东较少的现象,各月流轴偏东次数以4、5月最少,10月至次年3月较多;(2)台湾以东黑潮表面流量大小在6.2—8.3×104m2/s之间;总体上来说,纬度越高流量越大,在23.5°N左右范围内存在一个流量低值中心;在24.3°N以北流量总体较大,且增长趋势稳定,同时表面流量大小具有较强的季节和年际变化特征。     

营养限制对三种浮游动物的影响

Nutrient imbalance—a mismatch in nutrient ratios between the available food supply and the demands of consumers—has the potential to be transported up food chains,exposing zooplankton to nutrient limitations.In this study,the response of Calanus sinicus(copepod),Moina mongolica(cladocera),and Brachionus plicatilis(rotifer) to nutrient-limited(no-limited,P-limited,and N-limited) food were evaluated from the perspective of growth,reproduction,and stoichiometric homoeostasis.The results indicated that the growth of three species was suppressed under nutrient-limited(especially P-limited) conditions.However,the effect of nutrient limitations on their reproduction was species-specific.For C.sinicus,the dietary UFA(unsaturated fatty acid) as a major phospholipid component affected their egg production and total FA supporting energy promoted the hatchability of eggs.Furthermore,excess carbon in the diet promoted egg production but reduced hatching success.For M.mongolica,nutritional(P and UFA) and energy(total FA) support affected their fecundity.B.plicatilis fecundity exhibited the same pattern of growth(no-limitedN-limitedP-limited).In terms of stoichiometric homeostasis,B.plicatilis' s elemental compositions were less likely to be affected by nutrient limitations than M.mongolica.We suggest that the effects of nutrient imbalances could potentially become an evolutionary force affecting ecosystem structure and stability in eutrophic waters.     

利用超快速精密星历约束的北斗卫星实时精密定轨

以广播星历为起算轨道的北斗卫星实时滤波精密定轨往往需要较长收敛时间,针对此,提出利用超快速精密星历约束的实时精密定轨方法。通过MGEX跟踪网全球分布的51个测站连续7 d的实测数据,利用平方根信息滤波对北斗卫星实时精密轨道进行确定,并以3 d解事后轨道作为参考,评估北斗卫星实时滤波轨道精度。结果表明,利用广播星历作起算轨道时,北斗实时滤波轨道平均需要经过15 h收敛才能达到稳定,而新方法在这段时间内轨道变化较为平稳,未出现明显的收敛现象,并且7 d时间内GEO卫星在切向、法向和径向上RMS分别优于2.5 m、20 cm和30 cm,IGSO和MEO卫星在3个方向上分别优于30 cm、15 cm和10 cm。
     

重庆红池坝地电场变化分析

利用磁静日时序叠加方法和FFT频谱分析方法对红池坝地电场观测资料进行逐月处理,并与巫山建坪台地磁观测资料进行对比,分析红池坝地电场静日变化特征;计算红池坝台站磁暴期间产生的感应电场,与地电场观测数据对比,分析地电暴的特征。结果表明,静日随着月份的变化,相位发生变化,与巫山建坪地磁Sq变化一致;1月、2月、11月、12月的地电场日变幅明显小于其他月份;地电场显著周期成分与磁静日地磁场相同,并且通过周期成分的逐月对比分析得到,地电场与地磁D分量的不同周期成分的频谱值随时间的变化基本一致;某一方向的地电暴与该垂直方向的磁暴和该地区的电性结构有关;地电暴观测值与地磁感应电流计算值呈线性关系;地电暴变化与K值呈指数关系。     

Tourism resource assessment and spatial analysis of wine tourism development: a case study of the eastern foothills of China’s Helan Mountains

The reasonable development and utilization of mountainous regions closely relates to local economic development and ecological security. The wine production region in the eastern foothills of the Helan Mountains in Ningxia, Ningxia Hui Autonomous Region, with its excellent terroir, is emerging as one of China’s three major geographical attractions. Based on surveys of tourism resources and spatial analysis for this wine producing region, we propose a highly representative and practicable path for wine tourism development. Based on China’s national standard in Classification, Investigation and Evaluation of Tourism Resources (GB/T 18972-2003), which recommended the types and grades of tourism resources in one area, we conduct an analysis of resource characteristics and the current state of development. Using ArcGIS software, spatial autocorrelation analysis, average nearest neighbor analysis, as well as clustering and outlier analysis, we are able to derive the spatial distribution characteristics of tourism resources. Our survey showed that tourism resources in this area are relatively abundant and have good quality and clear combination advantages. Nonetheless, there are resources shortage for wine tourism and poor integration of wine production with the tourism industry. Regarding the spatial distribution of resources, we revealed the current states of and issues surrounding regions with concentrated resources, as well as characteristics of this clustering. Finally, we proposed a development path for wine tourism in this region based on the five dimensions of management mode, industrial path, product development, spatial optimization, and market development.     

An algorithm to resolve γ-rays from charged cosmic rays with DAMPE

The DArk Matter Particle Explorer(DAMPE),also known as Wukong in China,which was launched on 2015 December 17,is a new high energy cosmic ray and γ-ray satellite-borne observatory.One of the main scientific goals of DAMPE is to observe Ge V-Te V high energy γ-rays with accurate energy,angular and time resolution,to indirectly search for dark matter particles and for the study of high energy astrophysics. Due to the comparatively higher fluxes of charged cosmic rays with respect to γ-rays,it is challenging to identify γ-rays with sufficiently high efficiency,minimizing the amount of charged cosmic ray contamination. In this work we present a method to identify γ-rays in DAMPE data based on Monte Carlo simulations,using the powerful electromagnetic/hadronic shower discrimination provided by the calorimeter and the veto detection of charged particles provided by the plastic scintillation detector. Monte Carlo simulations show that after this selection the number of electrons and protons that contaminate the selected γ-ray events at～10 Ge V amounts to less than 1% of the selected sample.Finally,we use flight data to verify the effectiveness of the method by highlighting known γ-ray sources in the sky and by reconstructing preliminary light curves of the Geminga pulsar.