Determining the age of water and long-term transport timescale of the Chesapeake Bay

The concept of age of water (AW) is applied to the Chesapeake Bay to investigate the long-term transport properties for dissolved substances. A real-time calibrated hydrodynamic Chesapeake Bay model in 3 Dimensions (CH3D), employing a boundary-fitted curvilinear grid, is used for the study. The long-term transport properties, represented by AW, are investigated under the conditions of low river inflow of 1995 and high river inflow of 1996, as well as for constant mean inflows. The influences of freshwater, density-induced circulation, and wind-induced transport on age distribution have been investigated. Model results show that river inflows, wind stress, and density-induced circulation play important roles in controlling the long-term transport in the Bay. The model results shows that it requires 120–300 days for a marked change in the characteristics of the pollutant source discharged into the Bay from the Susquehanna River to affect significantly the conditions near the mouth under different hydrodynamic conditions. An increase of river discharge results in increases of downstream residual current and gravitational circulation, and thus reduces AW. The density-induced circulation contributes to the transport substantially. The dissolved substances discharged into the Bay are transported out of the Bay more rapidly when the estuary becomes more stratified. Southeasterly and southwesterly winds have strong impacts on the transport compared to the northeasterly and northwesterly winds. The former increases lateral and vertical mixing significantly. Consequently, the gravitational circulation is reduced and the transport time is increased by 50%. The model results provide useful information for understanding the long-term transport processes in the Bay.     

基于剖分的中尺度海洋温度场三维显示技术

针对网格化和数据量庞大的中尺度海洋标量场数据在其三维可视化中表现出来的构造效率较低和表达连续性效果较差的问题,以剖分重构为核心思想,采用三线性插值算法对数据进行加密处理,基于不同角度平面对温度场进行剖分和色彩映射,最后采用OpenSceneGraph图像渲染引擎的颜色、光照、透明度和回调等渲染技术展现更为真实的、科学的动态三维温度场,提供一种简洁、高效、科学的中尺度海洋温度场表达方法。     

渤海海效应暴雪的三维热力结构特征

采用烟台多普勒天气雷达、天气图等观测资料和中尺度模式(RAMS4.4)进行数值模拟,分析了2008年12月4~6日发生的一次海效应暴雪的时空分布和三维热力结构特征。结果表明:(1)渤海海效应降雪并非传统认为的仅发生在蓬莱以东的山东半岛地区,而是广泛分布于山东半岛、莱州湾、渤海中东部和黄海西部洋面上;降雪源地有暖海面和陆地,即莱州湾、渤海中部至渤海海峡和山东半岛。(2)浅层对流是海效应降雪的重要热力特征,当强冷空气流经渤海时,暖海面通过湍流交换等作用向冷空气底层输送感热和潜热,使得低层增温增湿,产生对流层中上层干冷低层暖湿的对流性不稳定。(3)冷空气的强弱影响渤海暖海面及山东半岛地区的垂直热力结构,导致降雪强度在不同时段存在显著差异。海气温差与热通量成正比,初期冷空气弱,对流层中低层的垂直温差小,海面上空的暖湿层浅薄,不稳定能量弱,产生的降雪量小;中后期冷空气强盛,对流层中低层的垂直温差大,暖湿层较为深厚,不稳定能量增强,导致降雪强度和降雪量大。(4)与单一要素温度和湿度相比,对流层低层相当位温的水平分布对强降雪落区具有更好的指示意义,强降雪发生在高相当位温脊线附近。     

2007-2017年中国沙尘气溶胶的三维分布特征及输送过程

利用最新发布的CALIPSO产品,构建了2007-2017年中国沙尘气溶胶的三维分布,并结合HYSPLIT-4模式和再分析数据,探讨了沙尘的三维输送过程。结果表明：中国的沙尘排放源区主要是塔克拉玛干沙漠和巴丹吉林沙漠,沙尘气溶胶出现频率分别为60%和35%。塔克拉玛干沙漠排放的沙尘主要（50%~70%）停留在源地0~6 000 m高度,少部分向东输送至甘肃和内蒙古;巴丹吉林沙漠排放的沙尘则主要向东输送。中国沙尘排放量在春季最大,向东输送最强;夏季,东亚夏季风限制了沙尘向东输送;秋季,沙尘排放减弱,输送强度和夏季相当;沙尘排放量在冬季最小,输送最弱。夏季,沙尘在输送过程中可被抬升至高度5 000 m以上,春季次之,秋、冬季的沙尘主要在低层大气输送。沙尘在向东输送的过程中被抬升并和当地人为污染物混合变为污染性沙尘,华北地区污染性沙尘出现频率高达30%;输送到海洋的沙尘也会与洋面上（0~3 000 m高度）的海盐气溶胶混合,出现频率约为10%。     

GRACE时变信号恢复方法对比分析

针对利用GRACE重力数据反演地表质量变化过程中产生的时变信号削弱和泄露现象,分别采用尺度因子法和迭代恢复法对信号进行恢复,并选用CSR Mascon产品从时间序列变化和空间分布两个角度对两种恢复方法的效果进行对比分析。结果表明:1)尺度因子法虽实现上较为简单,但其计算结果完全依赖于所选的先验模型,当所选模型的可靠性较差时,会影响到GRACE反演结果的可靠性。2)迭代恢复法的恢复过程仅受GRACE原始观测值的约束,能较好地恢复研究区域的长期趋势信号和周期信号,但在部分区域可能存在信号过量恢复的现象。建议采用迭代恢复法进行GRACE时变信号恢复。     

The application of geographic information technology to coastal geomorphology

With the development of modern oceanic observation technologies,coastal survey data have been experiencing a substantial growth.The integration management of the data from different disciplines,different sources and different formats has become a major research field in coastal geomorphology by using Geographic Information System (GIS).This paper puts forward a new methodology framework of GIS techniques in coastal ocean geomorphology,including data acquisition,process,analysis,and representation.It focuses on some major GIS techniques to study the land-ocean interaction mechanism,such as spatial analysis,submarine topography model and three-dimension (3D) visualization,and apply its result to coastal urban planning,harbor site selection and geomorphology environment about coral reef and islands on the continental shelf.The case studies cover the whole coastal ocean to serve the social community,economical development and diplomatic rights for decision-making all round in the coastal zone.The research shows clearly that the application of coastal multi-source geospatial platform has changed the traditional coastal geomorphology science dramatically from its research scope,fields and methods,however,as made clear in this paper,extracting accurate information from remote sensing data and GIS databases for coastal geomorphological applications is a nontrivial challenge that requires the combined knowledge and skills of information scientists and geomorphologists.     

夏季长江口外海区域上升流现象的数值研究

基于Blumberg等(1996)的ECOMSED模式,对长江口外海区域夏季的上升流现象进行了数值模拟.模式综合考虑径流,风应力,环流,热通量和M_2,S_2,K_1,O_1四个主要分潮的作用,从而提高长江口外海区域上升流模拟的准确性和可靠性,并通过各种控制实验分析了其动力机制,进一步说明本区域影响上升流的主要因子.数值实验表明,长江口外水下河谷的南边(杭州湾口门中心东侧),上升流主要是由向北流动的台湾暖流通过底Ekman效应和陆坡的抬升共同作用产生的.夏季偏南风对长江口外水下河谷西侧上升流的产生有一定影响,但作用不大.此外,潮汐潮流对上升流的产生也起着一定的作用,但在本文关注的上升流区潮作用影响不大.     

Urban three-dimensional expansion and its driving forces —A case study of Shanghai, China

Urban expansion is a phenomenon of urban space increase, and an important measuring index of the process of urbanization. Taking Shanghai as an example, the changes of urban average height and built-up area were studied to represent city’s vertical and horizontal increases respectively, and statistical methods were used to analyze the driving forces of urban expansion. The research drew following conclusions: 1) The urban expansion process of Shanghai from 1985 to 2006 had a clear periodic feature, and could be divided into three stages: vertical expansion in dominance, coordinated vertical and horizontal expansion, and horizontal expansion in dominance. 2) The average height and quantity of buildings in core city were significantly bigger than those in suburbs, but the changing speed of the latter was faster. And 3) urbanization process was the major driving force for the city’s horizontal expansion, while industrial structure improvement was the key driving factor for the vertical expansion. Those two driving forces were simultaneously affected by city’s political factors.     

����Kalman�˲���GEO�����˶�ѧ����

?????GEO????????????????????????????????????Kalman???????GEO?????????????????????????????????????η????????????????????????????????????????????????????????????????????????????????????з?????????????????????????????????????????Kalman???????????н????????????????к???????????????????????,????????????????Kalman????????????????????????????,???????Kalman???????????????????????????????????????????Kalman?????????????????????GEO?????????????