基于遗传算法的海洋地震拖缆避险工况阵列控制研究

针对海洋地震拖缆系统上位机对多个“水鸟”的控制问题,选取一种海上常见避险工况,对该工况进行分析计算,建立数学模型并利用“罚函数法”进行约束处理,得出基于遗传算法的适应度函数,并提出适用于该类工况一般情况的适应度函数公式,该公式能够完成对该工况所有情形的控制。实例表明该方法易于操作,计算得出的结果符合控制要求。     

基于AMSR-E数据的多年冰密集度反演算法研究

In recent years, the rapid decline of Arctic sea ice area(SIA) and sea ice extent(SIE), especially for the multiyear(MY) ice, has led to significant effect on climate change. The accurate retrieval of MY ice concentration retrieval is very important and challenging to understand the ongoing changes. Three MY ice concentration retrieval algorithms were systematically evaluated. A similar total ice concentration was yielded by these algorithms, while the retrieved MY sea ice concentrations differs from each other. The MY SIA derived from NASA TEAM algorithm is relatively stable. Other two algorithms created seasonal fluctuations of MY SIA, particularly in autumn and winter. In this paper, we proposed an ice concentration retrieval algorithm, which developed the NASA TEAM algorithm by adding to use AMSR-E 6.9 GHz brightness temperature data and sea ice concentration using 89.0GHz data. Comparison with the reference MY SIA from reference MY ice, indicates that the mean difference and root mean square(rms) difference of MY SIA derived from the algorithm of this study are 0.65×106 km2 and0.69×106 km2 during January to March, –0.06×106 km2 and 0.14×106 km2 during September to December respectively. Comparison with MY SIE obtained from weekly ice age data provided by University of Colorado show that, the mean difference and rms difference are 0.69×106 km2 and 0.84×106 km2, respectively. The developed algorithm proposed in this study has smaller difference compared with the reference MY ice and MY SIE from ice age data than the Wang's, Lomax' and NASA TEAM algorithms.     

Dynamic Model Re-construction and Corresponding Abnormal Characteristics Anatomy of Subtropical High based on Actual DataTime SeriesSamples

Aiming at the abnormal activity of West Pacific Subtropical High(WPSH) inducing the serious flood disaster in 1998, and considering the complex seasonal activity of WPSH in summer, based on the actual geopotential height field time series observational data in 1998, a non-linear dynamic model of WPSH was reconstructed by using the idea of dynamic system retrieval and genetic algorithms. Combined with the synchronous actual weather process, the corresponding dynamic characteristics and variation mechanism of WPSH, such as the equilibrium state destabilization and bifurcation of the WPSH system, were analyzed and discussed. The research showed that due to the advantages of global optimization and parallel calculation of GA, a nonlinear dynamic model could be reasonably and quickly reconstructed, and the reconstructed nonlinear dynamic model of WPSH derived from the actual abnormal case data could be used for describing objectively and explaining reasonably the basic characteristics and the abnormal activity process of WPSH. The dynamic discussion showed that the configuration and diversification of WPSH system equilibriums, such as bifurcation, catastrophe had a good matching with the actual medium short period abnormal activity of WPSH, such as northward jumping and southward droping, as well as double-ridge line pattern. The modality of WPSH geopotential height field induced by multi-equilibriums destabilization was more complex than that of by single-equilibriums bifurcation, and their exhibition patterns were more different. With the forcing parameters increaseing, closing with and exceeding critical value, the WPSH system equilibrium state destabilization or bifurcation would occur. Especially, when the equilibrium state jump/drop from low/high to the high/low value, corresponding WPSH system behaved as a leap northward /fall southward, moreover, when the stable equilibriums state from 1 to 2, corresponds with the pattern of “double-ridges” phenomenon of WPSH, contrariwise, “double-ridges” phenomenon would disappear. A meaningful technique route was provided to the mechanism research and dynamic characteristic discussion for the complex weather system of hardly modeling such as WPSH.     

卫星被动微波遥感土壤湿度研究进展

土壤湿度是控制陆地和大气间水分和能量交换过程的重要变量,而被动微波遥感是众多监测土壤湿度技术中最有效的手段之一。文中概述了被动微波反演土壤湿度的物理原理,重点介绍了被动微波反演土壤湿度的主要模型。在对不同模型进行比较分析后,基于不同传感器类型分别列举了当今发展较完善的3个典型算法：①Njoku和Li基于AMSR的多通道同时反演土壤湿度、土壤温度、植被含水量的方法;②Owe等基于SMMR利用极化差异指数同时反演土壤湿度和植被光学厚度2个参数的方法;③Wen等基于SSM／I同时反演土壤湿度和土壤温度的方法。对被动微波遥感土壤湿度研究中目前所存在的问题和发展前景进行了一些探讨。     

遗传算法进化设计BP神经网络气象预报建模研究

利用遗传算法进化设计神经网络的结构和连接权，并针对遗传算法局部调节能力比较弱的问题，采用从进化后的神经网络中用训练样本再次寻优的方法，建立神经网络气象预报模型，该方法克服了神经网络极易陷入局部解和遗传算法局部调节能力比较弱的问题，以广西的月降水量进行实例分析，计算结果表明该方法预报精度高、而且稳定。     

平均风向的计算方法及其比较

常用的平均风向４种计算方法分别是算术平均法，标量平均法，单位矢量法和矢量法，利用则资料对各种方法的计算结果进行比较，结果表明：算术平均法加大了偏南风的比重，标 在风向变化３６０°时有可能出现较大的误差，在应用时间须加以注意；单位矢量法与矢量法的结果比较一致，且不需风速的同期观测资料，是一种比较好的方法。     

基于支持向量机分类算法的湖泊水质评价研究

支持向量机（SVM）是由Vapnik等人提出的建立在统计学习理论基础上的一种小样本机器学习方法,最初用于解决二分类问题。由于使用结构风险最小化原则代替经验风险最小化原则,使它较好地解决了小样本情况下的学习问题。又由于采用了核函数思想,使它将非线性问题转化为线性问题来解决,降低了算法的复杂度。利用支持向量机多类分类算法,构建湖泊水环境评价模型。实验结果表明,该方法能够正确地对湖泊水环境质量进行分类评价。     

Review of the algebraic linear methods and parallel implementation in numerical simulation of groundwater flow

The desire to increase spatial and temporal resolution in modeling groundwater system has led to the requirement for intensive computational ability and large memory space. In the course of satisfying such requirement, parallel computing has played a core role over the past several decades. This paper reviews the parallel algebraic linear solution methods and the parallel implementation technologies for groundwater simulation. This work is carried out to provide guidance to enable modelers of groundwater systems to make sensible choices when developing solution methods based upon the current state of knowledge in parallel computing.