Multi‐scale approach to mining significant spatial co‐location patterns

Spatial co‐location pattern mining aims to discover a collection of Boolean spatial features, which are frequently located in close geographic proximity to each other. Existing methods for identifying spatial co‐location patterns usually require users to specify two thresholds, i.e. the prevalence threshold for measuring the prevalence of candidate co‐location patterns and distance threshold to search the spatial co‐location patterns. However, these two thresholds are difficult to determine in practice, and improper thresholds may lead to the misidentification of useful patterns and the incorrect reporting of meaningless patterns. The multi‐scale approach proposed in this study overcomes this limitation. Initially, the prevalence of candidate co‐location patterns is measured statistically by using a significance test, and a non‐parametric model is developed to construct the null distribution of features with the consideration of spatial auto‐correlation. Next, the spatial co‐location patterns are explored at multi‐scales instead of single scale (or distance threshold) discovery. The validity of the co‐location patterns is evaluated based on the concept of lifetime. Experiments on both synthetic and ecological datasets show that spatial co‐location patterns are discovered correctly and completely by using the proposed method; on the other hand, the subjectivity in discovery of spatial co‐location patterns is reduced significantly.     

Generating urban road intersection models from low-frequency GPS trajectory data

Detailed real-time road data are an important prerequisite for navigation and intelligent transportation systems. As accident-prone areas, road intersections play a critical role in route guidance and traffic management. Ubiquitous trajectory data have led to a recent surge in road map reconstruction. However, it is still challenging to automatically generate detailed structural models for road intersections, especially from low-frequency trajectory data. We propose a novel three-step approach to extract the structural and semantic information of road intersections from low-frequency trajectories. The spatial coverage of road intersections is first detected based on hotspot analysis and triangulation-based point clustering. Next, an improved hierarchical trajectory clustering algorithm is designed to adaptively extract the turning modes and traffic rules of road intersections. Finally, structural models are generated via K-segment fitting and common subsequence merging. Experimental results demonstrate that the proposed method can efficiently handle low-frequency, unstable trajectory data and accurately extract the structural and semantic features of road intersections. Therefore, the proposed method provides a promising solution for enriching and updating routable road data.     

洪湖网簖数量调查和渔获物分析

利用卫星遥感定点技术,估算洪湖１９９３年初约有１１０００部网簖,洪湖网簖可分为“稀阵”,“密阵”两种。１９８６年稀阵渔获物中,乌鳢,鲤、鲇,草鱼等大中型鱼类的比例达４７．６％,１９９２￣１９９４年这些鱼类的比例不到７％,１９８６年鲫,红鳍三各小型鱼类的比例为５１．０％,１９９２￣１９９４年达８７．６％。九十年代洪湖主要经济鱼类的捕捞规格进一步下降,为此应地网簖渔业实施管理。     

台风海况下半潜式钻井平台动力性能监测与分析

半潜式钻井平台在海洋油气资源开发中发挥着重要作用,目前主要采用模型试验和数值模拟方法对其动力性能进行研究,非常缺乏台风等极端海况下半潜式平台动力响应的实海域监测数据。以某半潜式钻井平台为研究对象,构建了一套比较完善的平台动力性能监测系统,并对台风“杜苏芮”过境阶段的监测数据进行了分析。根据平台艏部气隙及运动监测数据推算了平台吃水及环境波高;采用随机波浪的统计分析方法,计算得到短期海况的有效波高、谱峰周期、能量谱等信息,通过与多种典型海浪谱对比发现Jonswap谱与所测波谱吻合较好;对平台的横摇、纵摇及垂荡运动进行了时域统计分析和频域谱分析,得到了台风海况下被测平台波频运动的实际响应特征,对于指导平台抗台作业具有重要意义。     

Study on Seismic Damage to Buildings from the 2016 Hutubi MS6.2 Earthquake

Based on the field investigation of the building types and damage caused to them by the Hutubi M_S6.2 earthquake on December 8, 2016, we analyzed the damage characteristics and causes for different types of buildings. In conclusion we put forward some suggestions for the restoration and reconstruction in the earthquake affected area in future.     

立柱直径比对四立柱平台涡激运动性能影响的数值研究

与单立柱平台(Spar)类似,四立柱平台在洋流作用下也容易发生涡激运动,对锚泊和立管系统的疲劳寿命产生不利影响。一种非对称半潜式平台具有两种不同尺寸的立柱,立柱直径比对非对称平台涡激运动性能的影响尚需深入研究。采用计算流体力学(CFD)方法,对直径比分别为1.0、1.5和2.0的立柱组合在两种不同角度水流作用下的运动响应进行了二维数值模拟,分析发现:立柱直径比不为1时四立柱平台也具有明显的涡激运动,其横荡运动具有显著的锁定现象;在广义折合速度定义下,与相同直径的四立柱平台相比,立柱直径比不为1时其横荡运动锁定区间变宽且滞后,横荡响应幅值的峰值具有明显差异;在所研究的直径比范围内,大直径立柱在上游时涡激运动响应比其在下游时更显著,且这种差异随着直径比变大而变大。     

C60全珊瑚海水混凝土的钢筋锈蚀行为研究

采用线性极化电阻法,测试了C60全珊瑚海水混凝土（coral aggregate seawater concrete,简称CASC）的线性极化曲线、自腐蚀电位（E_corr）和极化电阻（R_p）,研究了不同暴露时间、不同种类钢筋CASC的钢筋腐蚀行为,提出了提升岛礁CASC结构耐久性的建议措施。结果表明：随着暴露时间的延长,CASC的E_corr和R_p均逐渐降低,钢筋的耐蚀性能逐渐减弱。不同种类钢筋CASC耐蚀性能规律为：316不锈钢筋优于有机新涂层钢筋,优于普通钢筋。即使暴露0 d,CASC中普通钢筋仍会发生锈蚀,表明普通钢筋在不附加任何防腐措施的条件下不适用于岛礁CASC结构。综合分析阻锈效果和成本因素,316不锈钢筋的性价比明显低于有机新涂层钢筋,建议岛礁CASC工程优先选用有机新涂层钢筋。     

星载方位多波束ScanSAR 成像

提出了一种新型星载方位多波束ScanSAR 工作模式, 实现了在保持方位向高分辨率的前提下对距离向 测绘带大幅扩展。分析了该工作方式的特点及主要相位误差, 给出了相应的误差补偿方法。介绍了该工作方式下回 波数据的模拟方法, 并讨论了几种适合该工作方式的成像算法。最后通过仿真对该工作方式的可行性及补偿方法的 有效性进行了验证。     

城市建筑群地震灾害风险评估技术探索及应用

地震灾害风险评估是开展风险治理和隐患排查的重要手段,在分析研究国内外地震灾害风险评估研究现状的基础上,开展地震工程多学科的交叉研究,综合考虑震源破裂过程、地震动传播路径、场地条件、建筑结构地震响应等因素,构建城市建筑群地震灾害风险评估体系;以嘉兴市为研究示范区,基于设定地震和多概率地震危险性水平开展城市群体建筑结构地震时程反应分析及震害模拟,构建城市建筑群地震灾害可视化分析平台。该项研究旨在探索城市地震灾害风险评估的有效方法,为地震灾害风险管理提供科技支撑。