A stochastic method for the prediction of icebreaker bow extreme stresses

It is well established that the ship-ice interaction process is quite complex and associated ice loads on the icebreaker hull is a stochastic process. Obviously, novel accurate statistical methods and models should be developed and applied to estimate extreme bow stresses.This paper studies icebreaker bow stresses based on measured distribution of ice thickness in the Arctic Ocean on the way to and from the North Pole. Since the vessel route was carefully selected searching for easier ice conditions, the Arctic Ocean crossing was not a straight linear but a meandering path. Thus, the specific ship route data was biased with respect to general ice statistics in the region, but true with respect to the route specific ice data encountered by a ship navigating in that region. Therefore the route specific ice thickness data is directly needed for ship design and navigation analysis. It is assumed that captains are competent and knowledgeable, and therefore will select a route that provides the most favourable ice conditions.This paper contributes to study of the newest Chinese self-designed polar icebreaker, serving the purpose of enhancing icebreaker operational reliability. Finite Element Method software package ANSYS/LS-DYNA has been employed to simulate bow stress pattern for a particular icebreaker operating in the Arctic Ocean. Extreme bow stresses were estimated using Naess-Gaidai method. The latter is a first application of Naess-Gaidai method to a distribution with lower bound. Thus this paper aims at introducing an efficient method of estimating route-specific icebreaker extreme bow stresses.     

基于EEMD和ARIMA的海温预测模型研究

类型丰富、时空分辨率高的海洋探测数据,为信号分解和机器学习算法的应用提供了可能。本文针对如何建立有效的海温预测模型这一问题,使用高时空分辨率的海表温度(SST)融合产品,引入信号处理领域的集合经验模态分解(EEMD)和机器学习领域的自回归积分滑动平均模型(ARIMA)。首先利用最适于分解自然信号的EEMD方法,将海温数据分解成多个确定频率的序列;再利用ARIMA分别对各个频率的序列进行预测,最后将各个序列的预测结果进行组合。该方法在丰富数据的支撑下,比以往直接使用海温数据所建立的预测模型精度更高,为更好地进行海温预测提供了新方法。     

Research on the Method of De-noising the Short-wave Time Signal at Low SNR

A voice enhancement algorithm based on the Empirical Mode Decomposition (EMD) and the improved spectral subtraction is proposed for the low-SNR (Signal Noise Ratio) shortwave time signal. This method is proposed to solve the problem that the shortwave time signal cannot be used for timing in complex noisy environments. The core idea of this method is to use the Hilbert-Huang Transform (HHT) algorithm to make the empirical mode decomposition on the noisy shortwave signal, and to select the intrinsic mode functions containing the shortwave signal information for the signal reconstruction by through the maximum correlation. Then, to make the spectral subtraction on the reconstructed signal to achieve the purpose of noise reduction. The experimental result shows that this method has a better noise reduction than the traditional methods.     

近12年北京暖季对流天气的气候特征

对北京地区1994～2005年暖季(5～9月)雷暴、冰雹、暴雨和大风等各种对流天气进行了气候统计和分析。统计结果表明:北京地区暖季发生对流的概率很高,按日数统计的气候概率达47.77%,有雷暴相伴的强对流天气大风、暴雨和冰雹气候概率分别为27.29%、10.84%和6.29%。另外,北京地区对流天气一般可连续出现3 d,强对流天气也可连续出现2 d。北京地区对流季节长达4个月,其中6、7、8月为主要的对流月,这三个月中雷暴发生的气候概率均超过50%。暴雨多发季节为7月中旬到8月上旬。冰雹集中于6月中、下旬。在对流天气的地理分布上,北京西北部、东北部山区及西南部山区多对流天气,中心区和东南部平原地区对流天气较少。暴雨呈西南-东北方向带状分布,东北部山区、中部和东南部平原地区多发生暴雨,而西北部和西南部山区很少发生暴雨。山区冰雹明显多于平原。西北部和东北部山区大风偏多,西南部霞云岭大风最少。暴雨有明显的夜发性,即夜间次数多,降水量更大。冰雹集中发生在午后到傍晚,占冰雹总站次的76.72%。夜间发生冰雹的概率非常小,上午到中午也不多。     

香坊老工业区搬迁改造监测分析

利用地理信息技术及遥感监测方法,监测香坊老工业区搬迁改造试点进展情况,主要针对搬迁改造过程中地表覆盖、用地性质、空气质量变化情况,开展综合统计分析,客观评价香坊老工业搬迁改造实施成效。     

Photographic photometry for stellar statistics with Tautenburg Schmidt telescope

Photometric properties of deep Tautenburg Schmidt plates in the UBV system over the whole field and over a wide range of stellar magnitudes are discussed. Different reduction models based on the calibration curve alone and with additional terms containing colour and plate coordinates are considered. With the filter-emulsion combinations used the Johnson UBV system can be reproduced quite well by the Tautenburg telescope. The accuracy of photometric data can be improved if geometrical terms are taken into account. For deep plates with a significant effect of background nebulosity a supplementary term is to be included in the reduction model. The polynomial coefficients vary in dependence on spectral bands and individual properties of each plate.     

基于珠海实证的城市旅游增长极限分析框架

城市旅游是城市的一个开放、高流动的子系统,在一定时期内是相对稳定,有增长极限的。城市旅游增长极限受到供需极限影响,当旅游需求超过供给时,出现过度旅游;而当供给超过需求,就会导致过度旅游化。城市旅游需求增长极限呈现阶梯式,只有当影响城市旅游需求增长的长期因素发生持续重大变化时,城市旅游需求增长才可能突破原有的极限,进入一个新的阶段。城市旅游需求极限规定了城市旅游供给极限,决定了城市在一定时期内适合开发的景区、酒店、餐饮、购物等旅游设施规模。本文基于珠海的实证分析表明,过去十几年,由于旅游供需两方面影响因素缺乏持续重大的变化,城市功能和地位、城市主题和特色等因素相对稳定,加之受到区域其他城市的激烈竞争,珠海中高端旅游需求相对稳定,星级酒店等中高端旅游产品面临增长极限。此时,新增旅游景区和星级酒店并不会带来过夜旅游需求的实质增长,反而可能加剧现阶段旅游供需的失衡,造成过度旅游化。本文也讨论了超越旅游极限的条件以及旅游增长与旅游发展的关系,并进一步建议了旅游统计的改革举措。     

渤海中、南部表层沉积硅藻的定量分析

对取自渤海中、南部海底表层的44个沉积物样品进行了硅藻分析。样品中共含硅藻20属41种,主要是潮间带、沿岸性底栖或浮游种类,其中尤以具槽直链藻Melosira sulc-ata和小环藻Cyclotella最多见。对本区的表层沉积硅藻用多元统计方法进行分区,共划分出三区、两亚区,井与其他海区进行了比较。     

希尔伯特-黄变换的端点延拓

希尔伯特-黄变换(HHT)是近年来发展起来的一种新的时间序列信号分析方法.该文在对HHT深入研究与充分肯定的基础上,发展了信号的镜像闭合延拓和包络的极值延拓两种方法.通过几个典型的例子检验了两种方法,并与Huang等(1998,1999)进行了比较,得到了令人满意的结果.镜像闭合延拓法根据信号端点的分布特性,把镜子放在具有对称性的极值位置,通过镜像法把镜内信号映射成一个周期性的信号,不存在端点,从根本上避免了经验模态分解和希尔伯特变换的端点问题.极值延拓法简单易行,具有与镜像闭合法相当的效果,在处理非对称波形信号时更显其优越性.     

海湾扇贝产卵的有效积温

于１９８７－１９９２年,先后５次进行海湾贝人工促熟产卵试验,扇贝均取自大连市长海县海区,为人工养殖越冬的成贝,每次试验所用扇贝个体数量为６０００－６２００个。用数理统计方法分别拟合５次试验中水温与时间的线性关系Ｆ（Ｘ）,并根据产卵时间Ｘｓ和性腺发育生物学零度７．８℃,计算产卵时水量Ｆ（Ｘｓ）和达到性腺发育生物学零度的时间Ｘ７．８。最后用积温公式分别计算有效积温值,并对试验结果进行统计分析。结果表明