完全非线性深水波的数值模拟

基于势流理论,并结合深水波质点运动从水面向下呈e指数衰减的特性,建立了完全非线性数值变深水槽模型,通过实时模拟活塞式造波机运动来产生波浪.采用时域高阶边界元法进行模拟,利用混合欧拉-拉格朗日方法和四阶Runge-Kutta方法追踪流体瞬时水面,应用镜像格林函数消除了水槽两个侧面的积分,在水槽末端布置人工阻尼层来消除反射...     

滨海核电可能最大台风浪的推算

采用当前国际流行的第三代波浪模式SWAN探讨了滨海核电工程可能最大台风浪的计算,并分析了可能最大台风浪与相伴随的可能最大风暴潮成长规律.分析得可能最大台风浪通常滞后可能最大风暴潮增水峰值,推算得到的可能最大台风浪高于遮浪海洋站观测到的最大波高,为滨海核电工程可能最大台风浪的推算提供参考.     

渤海典型温带风暴潮数值模拟及改进实验

分析了2010年渤海两次典型温带风暴潮过程及规律,发现沿岸的最大增水基本由北沿渤海西岸向南传播且各站出现最大增水时间有较稳定的滞后,利用一套基于非结构网格的高分辨率风暴潮模式(ADCirc)和NMEFC温带风暴潮模式(CES)分别对“20101212”强温带风暴潮过程进行数值模拟,对比分析其结果的优劣后提出基于测站风场...     

浙江海门站风暴潮增水特征及其预报

台州湾地区是浙江省风暴潮灾害重灾区之一,海门站位于浙江台州湾口门处.本文分析1950-2004年间对浙江造成重大影响的台风风暴潮过程,了解海门站台风风暴增水特征,并结合实际预报工作初步探讨海门站风暴潮预报方法和预报着眼点.     

改进BP算法在风暴潮极值水位预报中的应用

提出1种基于改进BP算法的风暴潮极值水位预报方法。首先针对现有人工神经网络BP算法存在的缺陷,引入Cauchy训练方法计算连接权的调整,解决BP算法的局部极小点和网络瘫痪的问题。然后结合山东海区水文观测站每年的台风风暴潮资料,应用该改进算法建立台风强度、风速和台风移速与风暴潮极值水位的非线性网络预报模型,对该站极值水位进行预报。实验结果表明,该算法具有很好的稳定性和准确性,为风暴潮预报分析提供了1种可靠的技术手段。     

影响我国的重大台风风暴潮时空分布

统计了1949-2009年 间发生在我国大陆沿海的38次达到红色预警级别的重大台风风暴潮过程,分析了其在空间、时间上的分布规律.分析结果表明:红色台风风暴潮灾害的发生次数呈上升趋势,且多发生在7-9月间,9月最多:长江口到福建泉州一带沿海和珠江口到海南岛东北部一带沿海是红色台风风暴潮灾害的高风险区.     

Numerical simulation of three-dimensional sloshing phenomena using a finite difference method with marker-density scheme

In the present study, three-dimensional sloshing phenomena occurring in liquid cargo tanks are numerically simulated. The Navier-Stokes equations and continuity equation are used for the governing equations, and solved with a finite difference method in a rectangular fixed staggered mesh system. The positions of free surface are defined by the Marker density method satisfying the free-surface boundary conditions, and the flows of the gas and liquid regions are simulated simultaneously. The irregular leg length and star method is employed on the cells near the free surface for the computations of pressure. The computation results are compared with other experimental results to verify the consistency of the present numerical method, and the agreements are reasonably good. Furthermore, the flow characteristics inside a partially filled liquid tank of a real sized ship oscillating regularly and irregularly are computed to verify the possibility of practical application of the present method.     

Numerical study of air chamber for oscillating water column wave energy convertor

Oscillating Water Column (OWC) wave energy converting system is one of the most widely used facilities all over the world.The air chamber is utilized to convert the wave energy into the pneumatic energy.The numerical wave tank based on the two-phase VOF model is established in the present study to investigate the operating performance of OWC air chamber.The RANS equations,standard k-ε turbulence model and dynamic mesh technology are employed in the numerical model.The effects of incident wave conditions and shape parameters on the wave energy converting efficiency are studied and the capability of the present numerical wave tank on the corresponding engineering application is validated.     

Application of artificial neural networks in typhoon surge forecasting

A typhoon-surge forecasting model was developed with a back-propagation neural network (BPN) in the present paper. The typhoon's characteristics, local meteorological conditions and typhoon surges at a considered tidal station at time t−1 and t were used as input data of the model to forecast typhoon surges at the following time. For the selection of a better forecasting model, four models (Models A–D) were tested and compared under the different composition of the above-mentioned input factors. A general evaluation index that is a composition of four performance indexes was proposed to evaluate the model's overall performance. The result of typhoon-surge forecasting was classified into five grades: A (excellent), B (good), C (fair), D (poor) and E (bad), according to the value of the general evaluation index. Sixteen typhoon events and their corresponding typhoon surges and local meteorological conditions at Ken–fang Tidal Station in the coast of north-eastern Taiwan between 1993 and 2000 were collected, 12 of them were used in model's calibration while the other four were used in model's verification. The analysis of typhoon-surge forecasting results at Ken–fang tidal station show that the Model D composing 18 input factors has better performance, and that it is a suitable BPN-based model in typhoon-surge forecasting. The Model D was also applied to typhoon-surge forecasting at Cheng-kung Tidal Station in south-eastern coast of Taiwan and at Tung-shih Tidal Station in the coast of south-western Taiwan. Results show that the application of Model D in typhoon-surge forecasting at Cheng-kung Tidal Station has better performance than that at Tung-shih Tidal Station.     

中国近50年寒潮冷空气的时空特征及其与北极海冰的关系

利用中国具有较长时间序列的527个站点1961—2010年的日平均温度观测资料,美国国家环境预报中心和国家大气研究中心(NCEP/NCAR)再分析资料以及伊利莱诺斯大学的海冰密集度资料,分析了我国近50年来寒潮的时空变化及与其相联系的海冰和大气环流异常的关系。结果表明,中国寒潮冷空气活动频数存在两个主要模态,第一模态表现在中国北方冷空气活动频数呈年代际减少趋势,1980年之前寒潮冷空气频数偏多,1990年后寒潮冷空气频数偏少;第二模态表现为我国南方冷空气频数的年际振荡特征。第一模态寒潮冷空气频数的减少主要与全球变暖有关,北极海冰的减少使得1980年代后期北极涛动加强,并激发出欧亚遥相关波列进而影响我国的寒潮冷空气活动。第二模态则与近些年来夏季北极海冰的快速融化以及北极大气出现偶极子型环流异常有关,通过激发跨极型和类欧亚遥相关波列影响到后冬的中国南方寒潮冷空气活动增多。