基于多尺度有限元的海上升压站脚靴式桩套筒连接结构分析研究

脚靴式海上升压站导管架的桩套筒与主导管的连接结构是关键荷载传递部位。整体梁系有限元模型无法反应局部板型结构的失效状态;截断板系有限元模型则受制于边界条件的合理性,结果不够精确。文中基于某工程海上升压站,建立不同精细化范围的多尺度有限元模型及不同边界条件的截断模型,对结构屈服失效及屈曲失效复核的同时论证了局部网格对计算精细程度的影响及截断模型对边界条件的敏感性;此外,研究了轭板板厚及应力比对屈曲失效的敏感程度,为今后海上升压站脚靴结构不同阶段的设计、优化提供参考和借鉴。     

山东省构造型地裂缝成因机制研究

收集了山东省多年来的地裂缝地质灾害调查和研究资料,结合地裂缝地质灾害发育的地质环境背景,对山东省内地裂缝的区域分布特征、发育特点进行了分析,认为山东省内构造型地裂缝广泛发育,并对山东省构造型地裂缝的成因机理进行阐述。     

An algorithm for converting weather radar data into GIS polygons and its application in severe weather warning systems

An algorithm was developed for converting radar data from matrix format into polygons that can be easily visualized, processed, and analyzed using Geographic Information Systems. Spatial operators can be used to overlap radar polygons with land surface features represented by points, lines, and polygons to meet the demands of severe weather identification and tracking and risk recognition. Application and testing of the algorithm demonstrate that the converted radar polygons are suitable for use in weather modification, risk assessments of flash floods in urban areas, and the identification of lightning activity for lightning risk recognition, all of which are essential in real-time severe weather monitoring and warning.     

不同雨强对杉木和米槠林地表径流和可溶性有机碳的影响

采用径流小区法,对中亚热带地区的杉木人工林和米槠次生林在不同雨强下径流量和可溶性有机碳（DOC）流失浓度进行比较研究。结果表明：在小雨、中雨、大雨和暴雨4场降雨过程中,米槠次生林和杉木人工林的地表径流量和DOC流失浓度变化趋势一致,即降雨强度增加,地表径流量也随之增加。DOC浓度均呈现了随着雨强的增加而逐渐降低的趋势。说明降雨强度对径流量和DOC浓度均产生了较为明显的影响;米槠次生林和杉木人工林的地表径流量之间差异不显著,米槠次生林和杉木人工林的DOC流失浓度除大雨外均达到显著性水平差异（P〈0.05）,说明植被类型对地表径流量影响较小,对DOC浓度具有较明显的影响。     

1961—2010年东北地区四季开始日及长短变化特征分析

用1961—2010年东北地区90个气象观测站的观测资料,采用钱诚等四季划分的方法,分析了东北地区四季开始日、长短变化特征及其对农业的影响。研究表明:东北地区近50 a来,四季(春、夏、秋、冬)平均开始日分别为4月10日、6月25日、8月11日和10月20日,平均长度分别为80 d、51 d、72 d和171 d,且区域差异比较明显。春季和夏季的开始日在明显提前,分别为-1.46 d/10a、-1.99 d/10a;秋季和冬季的开始日明显推迟,分别为2.05 d/10a、0.90 d/10a。平均春、秋和冬季的持续时间在缩短,分别为-0.54 d/10a、-1.15 d/10a、-2.50 d/10a,春、秋季的变化未通过显著性检验,冬季通过了0.05的显著性检验。夏季时间延长,为3.38 d/10a。春季的提前和秋季的推迟,使农作物适宜生育期延长;同时对作物品种熟性和种植格局也会产生一定的影响。     

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基于ROMS模式利用集合最优插值同化沿轨海表面高度异常数据的研究

The ensemble optimal interpolation （EnOI） is applied to the regional ocean modeling system （ROMS） with the ability to assimilate the along-track sea level anomaly （TSLA）. This system is tested with an eddy-resolving system of the South China Sea （SCS）. Background errors are derived from a running seasonal ensemble to account for the seasonal variability within the SCS. A fifth-order localization function with a 250 km localization radius is chosen to reduce the negative effects of sampling errors. The data assimilation system is tested from January 2004 to December 2006. The results show that the root mean square deviation （RMSD） of the sea level anomaly decreased from 10.57 to 6.70 cm, which represents a 36.6% reduction of error. The data assimilation reduces error for temperature within the upper 800 m and for salinity within the upper 200 m, although error degrades slightly at deeper depths. Surface currents are in better agreement with trajectories of surface drifters after data assimilation. The variance of sea level improves significantly in terms of both the amplitude and position of the strong and weak variance regions after assimilating TSLA. Results with AGE error （AGE） perform better than no AGE error （NoAGE） when considering the improvements of the temperature and the salinity. Furthermore, reasons for the extremely strong variability in the northern SCS in high resolution models are investigated. The results demonstrate that the strong variability of sea level in the high resolution model is caused by an extremely strong Kuroshio intrusion. Therefore, it is demonstrated that it is necessary to assimilate the TSLA in order to better simulate the SCS with high resolution models.     

基于卫星高度计的北极海冰厚度变化研究

A modified algorithm taking into account the first year(FY) and multiyear(MY) ice densities is used to derive a sea ice thickness from freeboard measurements acquired by satellite altimetry ICESat(2003–2008). Estimates agree with various independent in situ measurements within 0.21 m. Both the fall and winter campaigns see a dramatic extent retreat of thicker MY ice that survives at least one summer melting season. There were strong seasonal and interannual variabilities with regard to the mean thickness. Seasonal increases of 0.53 m for FY the ice and 0.29 m for the MY ice between the autumn and the winter ICESat campaigns, roughly 4–5 month separation, were found. Interannually, the significant MY ice thickness declines over the consecutive four ICESat winter campaigns(2005–2008) leads to a pronounced thickness drop of 0.8 m in MY sea ice zones. No clear trend was identified from the averaged thickness of thinner, FY ice that emerges in autumn and winter and melts in summer. Uncertainty estimates for our calculated thickness, caused by the standard deviations of multiple input parameters including freeboard, ice density, snow density, snow depth, show large errors more than 0.5 m in thicker MY ice zones and relatively small standard deviations under 0.5 m elsewhere. Moreover, a sensitivity analysis is implemented to determine the separate impact on the thickness estimate in the dependence of an individual input variable as mentioned above. The results show systematic bias of the estimated ice thickness appears to be mainly caused by the variations of freeboard as well as the ice density whereas the snow density and depth brings about relatively insignificant errors.     

时空遥感云计算平台PIE-Engine Studio的研究与应用

随着遥感大数据时代的到来,为快速处理和分析海量遥感数据,国内外涌现了众多遥感云计算平台,使得全球尺度、长时间序列遥感数据的快速分析和应用成为可能。本文在分析国内外遥感云计算平台现状的基础上,针对大数据时代国内缺少功能完备的遥感云计算平台,且国外遥感云计算平台对国产卫星数据支持不足等问题,基于容器云技术,构建了包含国产卫星数据且集数据、算力和技术于一体的时空遥感云计算平台PIE（Pixel Information Expert）-Engine Studio,实现了脚本驱动的遥感数据的按需获取以及海量数据的快速处理。采用Landsat 8数据,以生长季植被指数NDVI（Normalized Difference Vegetation Index）的计算为例,对比了本平台与GEE（Google Earth Engine）的数据处理能力。结果表明,由于计算资源的限制,本平台的计算和导出时间均比GEE稍长,但计算结果的空间分布一致,其中近68%的值均分布在（0.48,0.77）,且二者差值的95.33%集中在（-0.13,0.13）,结果较为可信。因此,本文构建的基于共享、开放的中国自主遥感云计算平台PIE-Engine Studio,可为地球科学领域的研究提供数据和算力支持,将有助于推进中国遥感云计算平台的发展进程,推动国产卫星数据在云计算平台上的应用。     

新型旋转减冲装置对桩基局部冲刷防护试验研究

为减轻海上风电单桩基础周围局部冲刷对其结构安全的影响,提出了一种新型旋转减冲装置。在波流水槽中开展物理模型试验,改变波流条件、装置安装高度、安装距离,记录桩周冲刷发展历时,运用激光地形仪扫描冲刷坑形态,分析各工况下冲刷坑形态差异,验证装置不同安装距离、安装高度下的冲刷防护效果,提出了不同安装位置下的防护效率公式。结果表明：新型旋转减冲装置具有较好的冲刷防护效果,本试验工况下,桩周最大冲刷深度可减小44%左右。装置安装距离对冲刷防护效果影响较小,波流作用下的冲刷防护效果受装置安装高度影响显著,冲刷防护效果随装置安装高度的增加而减弱。