水团分析中的模糊数学方法

使用多年平均温盐资料,应用模糊数学的一系列方法,对渤、黄、东海整个海域逐月进行了水团划分与分析。用移动格域法和模糊积分法确定水团的聚类中心,依Fuzzy-F统计判定海区内水团的个数;用模糊ISODATA聚类法调整软划分矩阵,依模糊贴近度衡量水团之间的相近程度,用模糊熵讨论水团的不均匀程度,从而给出了在水团分析中系统地应用模糊数学方法的实例和计算流程。     

利用地下水水位资料推求水文地质参数

依据模糊集合理论,提出了反求水文地质参数的一种新方法,即用模糊模式识别评价计算水位与观测水位的拟合程度,依模糊ISODATA聚类法的原理建立目标函数,以相应的聚类中心作为要求的水文地质参数。     

模糊迭代自动聚类法及其在海洋沉积物分类上的初步应用

物以类聚,是自然界的一个基本法则。然而,在人为地对事物进行划分时,由于分类界限并非极其明确,也就是说,是模糊的,因而在对事物进行聚类时,模糊聚类分析更能反映事物类与类之间的这种特征。模糊聚类分析具有代表性的方法有两种。建立在普通系统聚类和模糊关系上的是模     

近红外光谱识别模拟海面溢油

对模拟溢油的石油类样品进行近红外光谱检测并进行了主成分分析,以主成分得分作为聚类的特征变量进行模糊聚类,采用近红外光谱测量结合主成分分析和模糊聚类法快速识别模拟溢油种类,并建立了样品聚类与识别模型。采用此模型对柴油、汽油和润滑油等334个与海水体积分数≥4∶10 000的模拟溢油样品进行了准确快速的分类和识别,为近红外光谱技术判别实际溢油样品提供了科学依据。     

西北太平洋水声环境区划及声传播特征

基于2006年Argo资料,计算两北太平洋海域0-1 500 m声速剖面.针对声速结构分类中分类数目难以客观选取和分类结果易陷入局部最优等问题,采用聚类中心动态调整的遗传编码方案和操作算子,充分利用模糊聚类与遗传算法的优势,运用改进的遗传聚类算法对西北太平洋声速剖面进行分类区划基于声场环境区划结果,运用Kraken简正波传播模型(Kraken Normal Wave Propagation Model)模拟典型声速结构的声传播损失场,借助表征声呐效能的优质因数(FO)M),分析典型声速结构的传播损失特征及其对声呐探测、水下潜器等活动的影响     

成矿预测的模糊综合评判法

用模糊聚类方法,得出每种矿产的聚类中心,由此定义一个新的从属度,对预测单元进行模糊综合评判。该方法基本解决了预测单元多,已知条件少的成矿预测问题。     

黄海沉积物的地球化学分区

本文简要地阐述了应用模糊目标函数的聚类算法,进行黄海沉积物地球化学分区的原理与计算步骤。文中将多流系、多物源相互影响、共同作用的黄海沉积体系划分为5个地球化学分区,并与现场资料作了对照,所得的结果较为符合实际。这是应用模糊数学方法定量地多组分综合研究划分沉积物分区的一种尝试。     

模糊聚类谱系图多叉树的建立及应用

根据模糊等价关系的性质,推得模糊等价关系矩阵的两个性质。利用这些性质和模糊聚类谱系图逐层分类的特征,建立起模糊聚类谱系图的多叉树。通过遍历此时,用计算机完成模糊类分析中谱系图绘制等多项工作。     

基于GIS水团分析集成系统的开发及其应用

水团的识别与划分一直是物理海洋学的重要研究内容。本研究采用模糊密度聚类方法划分水团,并利用Fortran语言编制了该模型;同时,在Visual Basic6.0环境下,利用MapX控件进行了GIS平台开发;并将两者紧密集成,使得水团分析的所有阶段,包括计算网格的获取、温盐场数据的提取和插值、模型的参数选择和设置、模型的计算以及最终结果的可视化等都在同一环境下完成,大大提高模型应用的数据分析和决策的效率。将该系统应用于舟山渔场及其邻近海域,所得结果比较理想。     

多核模糊聚类算法的研究

针对多类样本数据,提出1种多核模糊聚类算法。通过选取子核函数及其参数构造多核函数,使得输入空间的样本经多核函数映射后,增大不同类别样本间的差别,提高核函数的学习能力和泛化能力。聚类实验表明,多核函数模糊聚类对于多类样本数据具有比单核更好的聚类效果。     

黄、东海春季水团的模糊判别分析

使用1987年5～6月黄、东海的调查资料,在水团多元模糊划分的基础上,引入了使用隶属函数的模糊判别分析,对海域中的11个水团模糊划分的有效性,给出了合理的判别方法,使水团的模糊分析增添了新的内容,得到了一些有益的结论。同时,简要地分析了各水团的分布与特征。     

浅海变性水团的软划分

In this paper, the principle and steps for differentiating water masses by fuzzy cluster method are introduced, and a scalar formula bsed on Euclidean distance and a method for determining objectively the number of water masses by F-test are proposed. Consequently, a method and specific steps for differentiating modified water masses in shallow sea according to fuzzy elastic classification are given. Computation of the membership degree in which each sample belongs to every water mass determines conveniently and quantitatively the cores, boundaries of water masses and mixed zones. An example for the Huanghai Sea and East China Sea is shown and compared with previous results.     

Application of method of fuzzy sets to the analysis of water masses in the northern South China Sea

Some methods of fuzzy sels are applied to the analysis of water masses in the north area of the South China Sea. In distinguishing water masses with the fuzzy clustering method, the authors propose a fuzzy similar relation based on Euclidean distance, and suggest a method for determining the number of water masses by the F-test, and further adjust rationally the boundaries of water masses and the membership relation of samples by the elastic classification method. Eight water masses are distinguished in the area, i.e., Nearshore Diluted Water F, Nearshore Mixed Water M, Warm Surface Water WS, Surface Water S, Surface-Subsurface Mixed Water SU, Subsurface Water U, Subsurface-Intermediate Mixed Water UI and Intermediate Water I. These point-sets of various water masseson the (?)-S diagram may be summed up in three types, that is, the deformed elliptical convexpoint-set, the half-boundless convex point-set and the point-set with single-side concave. For them, we have proposed methods of making their member     

黄、东海域春季水团的模糊分析

本文对黄、东海毗连海域1987年春季的水团,用模糊数学方法进行了系统的分析。在聚类分析和判别分析的基础上,对各水团的点集进行必要的处理,分别建立它们的隶属函数。根据隶属度的分析,用图示给出各水团的核心、本体和边界。本文还计算了各水团的熵以及水团之间的贴近度。据此划分水系,分析它们之间的逐级变性与相互关系,取得了满意的结论。     

烟威及石岛近海春季水团分析

本文使用1960—1980年春季的水文资料,以温度和盐度作为主要指标,根据聚类分析逼近温盐图解,结合对该海域地理环境特征的分析,对烟台、威海及石岛近海春季的水团结构演变及其和渔场、渔期的关系进行综合分析。结果表明,北黄海及青岛外海的冷水团,以及黄海暖水团的强度与位置的变动,对春季渔期的早迟以及渔场位置的变动,都有很大的影响。     

Advanced Lake Shoreline Extraction Approach by Integration of SAR Image and LIDAR Data

Noise and an abnormal distributed-image histogram is the main challenge of using SAR data. From this point of view, this study’s authors motivated the non-use of user-defined input parameters. To achieve this purpose, a fuzzy approach was proposed to extract shoreline from SENTINEL-1A data. The parameters in the processing of the SENTINEL-1A image were generated automatically with LIDAR-intensity-derived object-based segmentation results. The LIDAR-intensity image was segmented with the Mean-shift method. The corresponding result was used to estimate the input parameters for fuzzy clustering of the SENTINEL-1A image. Fuzzy segmentation was proposed, due to the expected large number of values regarding water and land classes except for the pixels along the shoreline. The memberships for land and water classes were separately computed. In the proposed approach, the results from LIDAR and SENTINEL-1A dataset are promising, with differences below 1 pixel (10?m) by evaluation with the used reference vector data.     

用模糊集合观点讨论水团的有关概念

本文将划分水团的基本原则,概括为水团内部特征的相对均一性及其与外部海水的明显差异性。用模糊集合讨论了水型、水团和水系等有关概念。提出了用模糊集合观点定义水团及其核心、本体、边界与混合区的建议,并以1979年8月黄海和东海表层为例,给出了各水团的隶属函数。计算了其核心、本体、边界、混合区及贴近度,按其模糊性排出了顺序。     

AN ANALYSIS OF MODIFIED WATER MASSES IN THE YELLOW SEA AND EAST CHINA SEA

The waters in the shallow part of the Yellow Sea and East China Sea are affected greatly by climatic and geographical conditions and fail to possess homogeneity and conservativeness like oceanic waters. They have apparent difference in modified degrees, so we may regard a certain range of mixed water as a relatively independent one. In fact, the study of water masses in the shallow sea means a modified analysis of waters. The idea of modified water masses is introduced, i. e., a water body which holds the similar physical and chemical characters, occupies a certain space, and varies seasonally and regularly. On the T-S diagram, it displays as a certain amount of points aggregated together, the centre of which changes regularly and may have a process of combination and separation.According to the clustering method, there are eight modified water masses in this area. They may also be divided into three salinity types. On the T-S diagram, the points concerning temperature and salinity of different modified     

变性水团软划分的一种FUZZY模式

在已知研究海区水团核心的前提下,考虑到各种指标对标识水团的不同贡献,提出了一种水团软划分的FUZZY模式。利用1987年5—6月黄东海的温、盐和溶解氧实测资料进行计算,与已有成果作了对比,结果令人满意。     

ELASTIC CLASSIFICATION OF MODIFIED WATER MASS IN SHALLOW SEA

In this paper, the principle and steps for differentiating water masses by fuzzy cluster method are introduced, and a scalar formula based on Euclidean distance and a method for determining objectively the number of water masses by F-test are proposed. Consequently, a method and specific steps for differentiating modified water masses in shallow sea according to fuzzy elastic classification are given. Computation of the membership degree in which each sample belongs to every water mass determines conveniently and quantitatively the cores, boundaries of water masses and mixed zones. An example for the Huanghai Sea and East China Sea is shown and compared with previous results.