Filters for linear sea-wave prediction

Deterministic sea-wave prediction (DSWP) models are appearing in the literature designed for quiescent interval prediction in marine applications dominated by large swell seas. The approach has focused upon spectral methods which are straightforward and intuitively attractive. However, such methods have the disadvantage that while the sea is aperiodic in nature, the standard discrete spectral processing techniques force an absolutely periodic structure onto the resulting sea surface prediction models. As it is the shape of the sea surface that is important in such applications, particularly near the end of the domain which is important, the standard windowing techniques used in signal processing work to reduce leakage artifacts cannot be employed. This has necessitated the use of end matching methods that can be both inconvenient and may reduce the fraction of the time for which legitimate predictions are available. As a result, an investigation has been undertaken of the use of finite impulse response prediction filters to provide the necessary dispersive phase shifting required in DSWP systems. The present work examines the theoretical basis for such filters and explores their properties together with their application to both long and short crested swell seas. It is shown that wide band forms of such filters are only convergent in the sense of distributions having both infinite duration impulse responses and asymptotically divergent first derivatives. However, appropriate band limitation can produce useful finite impulse responses allowing implementation via standard discrete convolution methods. It is demonstrated that despite the prediction filters having a non-causal impulse response such filters can be used in practice due to a combination of the asymmetric nature of the impulse response and the fundamental nature of the prediction process. The findings are confirmed against actual sea-wave data.     

基于神经网络的平底结构砰击压力预报

对利用神经网络预报平底结构入水砰击压力的方法进行了探讨。首先利用仿真软件计算各种情况下平底结构入水所产生的砰击压力，以此形成训练神经网络的数据集。其次利用数据集对三层反馈式网络进行了训练，讨论了不同隐含层节点数对该非线性系统的拟合能力，并且对梯度下降法、动量修正法和基于优化的LM算法的有效性和精度进行了比较，最后得出了适合平底结构入水砰击系统的网络结构。     

沉降监测多项式回归分析与神经网络预测

使用多项式和切比雪夫(Tchebyshev)多项式分别对沉降监测数据进行回归分析以预测未来沉降值,其中切比雪夫多项式的外推效果较好;应用前向BP神经网络对两种不同的单因子输入模式进行非线性函数逼近,并进行了不同采样步长的比较,实例表明将时间点作为网络的输入对沉降进行预测效果较好。     

台湾海峡及其西边地区正常地震动态及危险性特征

本文从地震的时，空分布特征，区域应力场动态，能量释放方式，ｂ值及震群特征６个方面研究了台湾海峡及其西边地区地震活动的正常动态及异常特征。结果表明，具有前兆意义的变化模式表现为区域地震活动在时间，空间及功能方面的有序性变化，即：（ａ）地震空间分布由分散转为集中，形成条带或空区；（ｂ）断裂活动由多组转为单一，应力场趋向一致；（display status     

渤海、黄海强温跃层数值预报模式

文中对前人关于水温垂直结构计算、模拟和预报研究成果进行了评价，并在此基础上建立了考虑海面吸收辐射和透射辐射、地形、风、海流、界面摩擦及其引起的混合作用的强温跃层三维数值预报模式。该模式运行的驱动量仅为风和气温场资料，因而具有较好的实用性；此外，从试报的结果看，效果是令人满意的。     

Coastal geomorphic evolution at the Denglou Cape, the Leizhou Peninsula

ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅＤｅｎｇｌｏｕＣａｐｅ ,ｉｎｔｈｅｓｏｕｔｈｗｅｓｔｏｆｔｈｅＬｅｉｚｈｏｕＰｅｎｉｎｓｕｌａ ,ｉｓａｔｔｈｅｎｏｒｔｈｍａｒｇｉｎｏｆｔｒｏｐｉｃａｌｚｏｎｅ .ＳｅｖｅｒａｌｒｅｓｅａｒｃｈｅｓａｎｄｃａｒｔｏｇｒａｐｈｉｅｓｏｆｔｈｅｒｅｇｉｏｎａｌｇｅｏｍｏｒｐｈｏｌｏｇｙａｎｄＱｕａｔｅｒ ｎａｒｙｇｅｏｌｏｇｙ ,ｗｈｉｃｈｗｅｒｅｃａｒｒｉｅｄｏｕｔｉｎｔｈｅｐａｓｔ,ａｌｌｉｎｃｌｕｄｅｔｈｉｓａｒｅａ (ＭＧＬ ,ＳＣＳＩＯ ,ＣＡＳ ,1 978;ＧＰＣＳＧＲＣＺＴ…     

能量分析在台风短期预报业务中的应用

本文以９４１４、９４１５号两个连续北上台风为例，证明能量场的分布与台风移向有着明显的对应关系。     

Comprehensive development of agriculture in the Loess Plateau Area

The Loess Plateau is one of China s developing areas where socio-econ-omy is backward, ecological environment deteriorated and people's life difficult.The purpose of carrying out comprehensive development of the area's agriculture is, in essence, to open up new fields of agro-production, to intensify the utilization of related resources, to raise productivity and to win bigger output. The decision is important, as by so doing, the physical landscape could be tranformed, the local economy could be flourished, and the people's standard of living could be improved, and moreover the national development strategy of "depending on the East and shifting to the West" and building Shanxi Province into an energy and chemical industrial base could be realized.Based on field investigations in recent years, the auther proposed the purpose, target, principles, steps, tactics and strategies for the comprehensive development of the are's agriculture.     

GIS在处置地下管线突发事件中的应用研究——以苏州市地下综合管网应急处置系统为例

随着经济社会的不断发展,城市建设步伐不断加快。近几年,各类地下管线突发事件频发。通过"苏州市地下综合管网应急处置系统"项目的开发和实践,本文试图从总体上论述地下综合管网突发事件的处置过程、应用原理及相关的技术实现,重点阐述了基于"12345"便民服务中心工作平台,在充分利用GIS的网络分析技术的基础上,实现城市地下管网突发事件应急处置的自动化和信息化。