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31.
震前加速破坏阶段地壳岩石破裂过程中可能辐射电磁信号,提取与之相关的电磁信号异常有助于认识地震孕育及破坏过程,从而为防震减灾提供支持.本文提出了改进型图像信息方法(Modified Pattern Informatics Method,MPI方法),并用于汶川地震前电离层参量时空特征信息的提取.通过分析对比处理前后的DEMETER电磁卫星时空图像可以发现,原始时空图像一般存在季节性和空间性的变化规律,较难获得有意义的信息;而采用MPI方法处理后,则发现汶川大地震前,电离层参量存在明显的异常变化.从而,证明了MPI方法具有消除背景趋势、突出短期变化的能力,可以有效地提取强震相关的电磁前兆信息. 相似文献
32.
A strong low‐pressure system traveled along the Japanese main island Honshu in October 2006. High waves and storm surge attacked the Kashima Coast resulting in huge erosion over the area. Airborne laser data measured in October 2005 and November 2006 were analyzed to estimate cross‐sectional changes within the subaerial zone. The results of the alongshore distribution of the changes of cross‐sectional area indicate that the amount of erosion of the 38 km‐long northern and 15 km‐long southern parts decreased toward the south in each part and that the amount of erosion was smaller in protected areas with artificial headlands than in unprotected areas. The local alongshore variation of the erosion and accretion patterns showed wavy fluctuations of several hundreds of meters. The total amounts of the estimated eroded volume of the subaerial zone over the northern and southern parts were 620 000 m3 and 600 000 m3, respectively. The Simulating Waves Nearshore (SWAN) wave model was applied to estimate wave conditions along the coast during the storm. The computational results were verified, and then the alongshore distribution of wave energies, expressed as the alongshore and cross‐shore components of the wave energy flux, was compared with the alongshore distribution of cross‐sectional change. The results show that the distribution of energy flux explains the distribution of erosion well: The alongshore variability in the cross‐shore energy flux is responsible for the large‐scale variability in erosion, and shorter‐scale variability is due to gradients in the alongshore energy fluxes, especially for the areas without coastal works. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
33.
Clint Dawson Ethan J. KubatkoChristopher Mirabito Craig MichoskiNishant Panda 《Advances in water resources》2011,34(9):1165-1176
Storm surge due to hurricanes and tropical storms can result in significant loss of life, property damage, and long-term damage to coastal ecosystems and landscapes. Computer modeling of storm surge can be used for two primary purposes: forecasting of surge as storms approach land for emergency planning and evacuation of coastal populations, and hindcasting of storms for determining risk, development of mitigation strategies, coastal restoration and sustainability.Storm surge is modeled using the shallow water equations, coupled with wind forcing and in some events, models of wave energy. In this paper, we will describe a depth-averaged (2D) model of circulation in spherical coordinates. Tides, riverine forcing, atmospheric pressure, bottom friction, the Coriolis effect and wind stress are all important for characterizing the inundation due to surge. The problem is inherently multi-scale, both in space and time. To model these problems accurately requires significant investments in acquiring high-fidelity input (bathymetry, bottom friction characteristics, land cover data, river flow rates, levees, raised roads and railways, etc.), accurate discretization of the computational domain using unstructured finite element meshes, and numerical methods capable of capturing highly advective flows, wetting and drying, and multi-scale features of the solution.The discontinuous Galerkin (DG) method appears to allow for many of the features necessary to accurately capture storm surge physics. The DG method was developed for modeling shocks and advection-dominated flows on unstructured finite element meshes. It easily allows for adaptivity in both mesh (h) and polynomial order (p) for capturing multi-scale spatial events. Mass conservative wetting and drying algorithms can be formulated within the DG method.In this paper, we will describe the application of the DG method to hurricane storm surge. We discuss the general formulation, and new features which have been added to the model to better capture surge in complex coastal environments. These features include modifications to the method to handle spherical coordinates and maintain still flows, improvements in the stability post-processing (i.e. slope-limiting), and the modeling of internal barriers for capturing overtopping of levees and other structures. We will focus on applications of the model to recent events in the Gulf of Mexico, including Hurricane Ike. 相似文献
34.
利用MODIS数据,结合具体实例,对比研究当前几种利用光谱特征定量判识沙尘暴的方法。从理论上剖析各方法的原理,分析其优劣,并提出一套新的算法的组合方式。研究结果表明,新的组合算法有不小的改进:①大大降低了单一算法在不同时间或地区图像中阈值取值不稳定的影响,减少了图像噪声造成的误判,增强了其通用性和稳定性;②明显减弱了太阳光、地表温度等条件的影响,准确排除沙漠对于判识的干扰;③简单实用,适合业务应用。 相似文献
35.
热带气旋“碧利斯”与南海季风相互作用的强水汽特征数值研究 总被引:2,自引:0,他引:2
强热带风暴碧利斯(0604)登陆后其低压环流较长时间地维持,并与南海季风相互作用,造成湖南省东南部发生历史罕见的特大致洪暴雨。文中应用多种常规、非常规细网格观测资料及NECP再分析资料,结合暴雨中尺度数值预报模式AREM对该暴雨过程的强水汽场特征进行了数值模拟和诊断分析,并设计水汽敏感性试验,进一步揭示造成湘东南特大暴雨的水汽通道和水汽来源。结果表明:碧利斯低压环流南侧的西南气流对湘东南暴雨区起到了主要水汽输送作用,且随着碧利斯逆时针旋转,水汽沿着环流中心东侧的强风速带夹卷到环流北侧,并通过增强的东北风源源不断地输送至湘东南。这南北两支主要水汽通道在湘东南长时间交汇,形成了湘东南暴雨区深厚的湿层和强水汽辐合,对碧利斯低压环流较长时间的维持及对湘东南特大暴雨的形成和发展有重要的作用。 相似文献
36.
利用2004—2006年ACE、WIND卫星观测的太阳风数据和相应时期反映磁暴大小的Dst指数,针对200个不同级别的磁暴事件,分析了磁层顶日下点距离R0与磁暴Dst指数的线性相关性。分析显示,在极端太阳风条件下,Dst指数时间序列比借助于Chao Model计算出的磁层顶日下点距离R0的时间序列延迟了约3h。经修正时间延迟后,对磁层顶日下点距离R0与磁暴Dst指数的线性相关性进行分析。结果表明:发生超级磁暴时,二者线性相关系数的均值为0.77;大磁暴时,线性相关系数的均值为0.74;中等磁暴时,线性相关系数的均值为0.47。此外,用最小二乘数据拟合得到了不同级别磁暴时的R0-Dst关系图。 相似文献
37.
通过两个强对流风暴个例,利用探空资料辅以卫星反演方法,揭示了强对流风暴中同质冻结增温这一事实。探空观测到在强风暴中同质冻结潜热释放造成该层内的空气增温达5℃以上,风暴中强上升气流使云滴没有足够的时间长大,云水向雨水转化和云的晶化会被推到更高的高度,在到达同质冻结高度之前,异质核化过程没有太多的时间消耗大量云水,多数云滴被带到同质冻结高度以上时迅速冻结,造成潜热的集中释放,使周围的空气增温。NOAA卫星观测到的云顶的大量由同质冻结形成的小冰粒子以及过顶现象,进一步证实了同质冻结潜热增温。当探空仪靠近风暴、对流层顶又距同质冻结高度层较近时,同质冻结增温作用有可能被探空仪观测到。 相似文献
38.
39.
复杂地形下雷暴增强过程的个例研究 总被引:12,自引:2,他引:10
本文基于多普勒雷达变分同化分析系统(VDRAS)反演的对流层低层热力和动力场,并结合多种稠密观测资料,对北京地区2009年7月22日一次弱天气尺度强迫下雷暴在山区和平原增强的机理进行了较深入的分析。研究结果表明:雷暴过程受大尺度天气系统影响不明显,对流前期地面弱冷锋,是此次雷暴新生的触发机制,高层冷平流、低层偏南暖湿气流的稳定维持和对流不稳定能量的聚集是本次雷暴增强的必要条件。雷暴从河北北部移进北京西北山区后,在下山和到达平原地区时,经历了两次明显的发展增强阶段。雷暴第一阶段下山增强,地形强迫起着主要作用,具体表现在三个方面:(1)地形斜坡使得雷暴冷池出流下山加速与稳定维持的偏南气流形成了强的辐合区;(2)地形抬升使得偏南暖湿入流强烈地上升,从而加剧了对流的发展;(3)地形抬高了冷池出流高度,使得出流与近地面偏南气流构成随高度顺转的低层垂直风切变,低层暖空气之上有冷平流叠加,使得雷暴前方的动力和热力不稳定增强。雷暴第二阶段在平原地区再次增强的主要原因是:组织完好的雷暴到达平原地区后,其冷池与低层暖舌在城区(朝阳地区)的对峙,产生了强的扰动温度梯度;强的冷池出流与势力相当的偏南暖湿气流相互作用产生了强的辐合上升气流,并与下沉气流在较长时间内共存;冷池出流形成的负涡度与低层切变产生的正涡度达到近似平衡状态。运用RKW理论,三者导致雷暴前方低层的辐合抬升最强,最有利于雷暴的维持发展。 相似文献
40.
2008年中国沿岸冬季寒潮激发陆架波的小波分析 总被引:1,自引:0,他引:1
This study applies the wavelet analysis to the tidal gauge records, alongshore winds, atmospheric temperature and pressure along the China coast in winter 2008. The analysis results show three events of sea level oscillations(SLOs) on the shelf induced by winter storms. The first event occurred from January 9 to 21. The SLO periods were double-peaked at 1.6–5.3 and 7.0–16.0 d with the power densities of 0.04–0.05 and 0.10–0.15 m2·d, respectively.The second event occurred from February 5 to 18. The SLO period was single-peaked at 2.3–3.5 d with power density of 0.03–0.04 m2·d. The third event occurred from February 20 to March 8. The SLO periods were doublepeaked at 1.5–4.3 and 6.1–8.2 d with the power densities of 0.08–0.11 and 0.02–0.08 m2·d, respectively. The SLOs propagated along the coast from Zhejiang in north to Guangdong in south. The phase speeds ranged about 9–29m/s from Kanmen to Pingtan, 5–11 m/s from Xiamen to Huizhou and 11–22 m/s from Huizhou to Shuidong. The dispersion relation of the SLOs shows their nature of coastal-trapped wave. 相似文献