台湾以东黑潮路径识别与变化规律   总被引：1，自引：0，他引：1  

王辉赞  魏林进  张全礼  刘磊  刘科峰 《海洋与湖沼》2018,49(2):271-279

为研究对中国台湾以东海域黑潮路径及其变化,本文基于法国空间局AVISO中心提供的1993—2015年的卫星遥感海表流场逐日资料,对121°—125°E,22.4°—25°N海域黑潮路径进行了逐日识别,得到了共计23年累计8400天的台湾以东黑潮流轴的逐日路径,并研究其在不同纬度的流轴位置及其对应的表面黑潮流量的时空变化规律。主要结论如下:(1)采用模糊C-均值聚类法对台湾以东黑潮流轴路径进行聚类分析,发现台湾以东黑潮流轴在24°N以南出现明显摆动,形成正常和偏东两种路径;黑潮流轴存在明显的时间变化,流轴偏东现象年平均大约出现25次,大致每隔3年出现一次偏东较少的现象,各月流轴偏东次数以4、5月最少,10月至次年3月较多;(2)台湾以东黑潮表面流量大小在6.2—8.3×104m2/s之间;总体上来说,纬度越高流量越大,在23.5°N左右范围内存在一个流量低值中心;在24.3°N以北流量总体较大,且增长趋势稳定,同时表面流量大小具有较强的季节和年际变化特征。  相似文献   

Enhancement of backtracking search algorithm for identifying soil parameters     

Yin-Fu Jin  Zhen-Yu Yin 《国际地质力学数值与分析法杂志》2020,44(9):1239-1261

In this paper, an enhanced backtracking search algorithm (so-called MBSA-LS) for parameter identification is proposed with two modifications: (a) modifying the mutation of original backtracking search algorithm (BSA) considering the contribution of current best individual for accelerating convergence speed and (b) novelly incorporating an efficient differential evolution (DE) as local search for improving the quality of population. The proposed MBSA-LS is first validated with better performance than the original BSA and some other typical state-of-the-art optimization algorithms on a benchmark of soil parameter identification in terms of effectiveness, efficiency, and robustness. Then, the efficiency of the MBSA-LS is further illustrated by two representative cases: identifying soil parameters from both laboratory tests and field measurements. All comparisons demonstrate that the proposed MBSA-LS algorithm can give accurate results in a short time. Finally, to conveniently solve the problems of parameter identification, a practical tool ErosOpt for parameter identification is developed by integrating the proposed MBSA-LS and some other efficient algorithms for readers to conduct the parameter identification using optimisation algorithms.  相似文献   

柳珊瑚Leptogorgia rigida中甾体类成分研究     

肖细姬  邓芸  谢路凤  张琪  韦霞  于鑫  张翠仙 《热带海洋学报》2019,38(4):64-69

首次对南海柳珊瑚Leptogorgia rigida中甾体类次生代谢产物进行研究。采用硅胶柱柱层析、十八烷基硅烷键合硅胶填料、Sephadex LH-20、高效液相色谱(HPLC)及薄层色谱(TLC)等多种方法进行分离纯化, 通过核磁共振波谱(NMR)、质谱(MS)等现代波谱分析及物理常数对照等方法进行结构鉴定。从南海柳珊瑚Leptogorgia rigida次生代谢产物中分离得到8个甾类化合物, 结构依次为: 3β, 6β, 11-trihydroxy-9, 11-seco-5α-chloest-7-en-9-one (1); 3β, 6α, 11- trihydroxy-9, 11-seco-5α-chloest-7-en-9-one (2); 3β, 6α, 11-trihydroxy-5α-chloest-7, 22(E)-dien-9-one (3); pregnan-4-en-3, 20-dione (4); 5α-pregnan-3, 20-dione (5); 3β-hydroxy-pregnan-5-en-20-dion (6); 3β-hydroxy-5α-pregnan-20-one (7); 和3β, 6α, 11-trihydroxy-9, 11-seco-5α-gorgosterol (8)。所有化合物均首次从Leptogorgia属中得到。  相似文献   

一例异育银鲫(Carassius auratus gibelio)暴发性出血病病原分析     

袁雪梅  潘晓艺  郝贵杰  刘莉  吕孙建  蔺凌云  沈锦玉 《海洋与湖沼》2019,50(4):913-920

2016年6月,江苏某异育银鲫(Carassius auratus gibelio)养殖场暴发一种传染性急性出血病,造成养殖银鲫大量死亡。为分析此次疾病病因及流行规律,本研究从发病养殖场采集患出血病的异育银鲫,从细菌、病毒及寄生虫三个方面对病原进行了分析。采用病原菌分离、组织病理学观察、超薄切片电镜观察、病毒核酸分析、回感实验等对病原进行鉴定。结果显示从发病鲫鱼体内分离到病毒一株,未发现寄生虫及细菌感染。经测序及序列分析,该病毒为鲤疱疹病毒Ⅱ型(Cyprinid herpesvirus2,CyHV-2)病毒,组织病理学观察结果显示患病鱼的鳃和肾脏有明显病变,电镜下可观察到病鱼脾脏组织有带囊膜的球形病毒,囊膜直径约为170—200nm,病毒衣壳直径约为110—120nm,核心直径约为60nm,用组织匀浆感染鲫鱼囊胚细胞系(CGB)可稳定地观察到典型的细胞病变,用患病鱼组织匀浆液人工感染异育银鲫的死亡率高达100%,荧光定量PCR检测到该病毒可感染多器官,其中以脾脏中病毒含量最高,其次是脑,肝脏中最少。本研究可为CyHV-2的诊断防控及疫苗研制提供资料。  相似文献   

黄河入海口冲积平原覆盖区近地表岩土特性与识别方法     

张光德  张加海  韩文功  王增明  于小刚 《海洋地质前沿》2010,26(1)

黄河三角洲冲积平原区近地表岩性变化剧烈,重点从黄河三角洲浅层沉积模式分析了岩性分布差异,统计了不同岩土的塑性、应力、压缩特性规律,探索了利用这种岩性特征差异识别岩性的方法,为地震采集提供准确的激发层段,为地震资料处理提供精细的静校正量。  相似文献   

Risk identification and perception in the fisheries sector: Comparisons between the Faroes,Greece, Iceland and UK     

Diana Tingley  Jóhann Ásmundsson  Edward Borodzicz  Alexis Conides  Ben Drakeford  Ingi Rúnar Eðvarðsson  Dennis Holm  Kostas Kapiris  Sakari Kuikka  Bogi Mortensen 《Marine Policy》2010

This paper presents the findings of risk identification and risk perception research conducted in relation to the fisheries systems of four distinct and diverse European countries: Faroes, Iceland, Greece and the UK. Risk research traditionally attempts to quantify the potential threat or consequences from a range of risk events or hazards. This research, however, adopted a social sciences perspective and so assumed that a risk event or hazard can mean different things to different people and that these perceptions are also context and culturally dependent. Risk perceptions were examined and risk registers developed in each country for a range of stakeholder groups. A ‘mental modelling’ approach was adopted in a series of qualitative interviews. Findings were examined in terms of a wide range of psychological, social and cultural risk theories. Differences in risk perceptions were noted between stakeholder groups and countries and contextual influences were examined such as the widely differing fisheries management systems used in each country. This research provides one of the first attempts to systematically evaluate risks and perceptions across a range of fisheries-systems. The findings support social science theories which argue that risk is a subjective, as opposed to objective, concept and that this subjectivity will therefore affect our attempts to assess and manage those hazards we think we can potentially influence or control.  相似文献   

Discrete wavelet‐based trend identification in hydrologic time series     

Yan‐Fang Sang  Zhonggen Wang  Changming Liu 《水文研究》2013,27(14):2021-2031

Trend identification is a substantial issue in hydrologic series analysis, but it is also a difficult task in practice due to the confusing concept of trend and disadvantages of methods. In this article, an improved definition of trend was given as follows: ‘a trend is the deterministic component in the analysed data and corresponds to the biggest temporal scale on the condition of giving the concerned temporal scale’. It emphasizes the intrinsic and deterministic properties of trend, can clearly distinguish trend from periodicities and points out the prerequisite of the concerned temporal scale only by giving which the trend has its specific meaning. Correspondingly, the discrete wavelet‐based method for trend identification was improved. Differing from those methods used presently, the improved method is to identify trend by comparing the energy difference between hydrologic data and noise, and it can simultaneously separate periodicities and noise. Furthermore, the improved method can quantitatively estimate the statistical significance of the identified trend by using proper confidence interval. Analyses of both synthetic and observed series indicated the identical power of the improved method as the Mann–Kendall test in assessing the statistical significance of the trend in hydrologic data, and by using the former, the identified trend can adaptively reflect the nonlinear and nonstationary variability of hydrologic data. Besides, the results also showed the influences of three key factors (wavelet choice, decomposition level choice and noise content) on discrete wavelet‐based trend identification; hence, they should be carefully considered in practice. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

基于形态法的西北太平洋柔鱼种群结构研究   总被引：4，自引：0，他引：4  

李思亮  陈新军  刘必林  马金  曹杰  张广文 《中国海洋大学学报(自然科学版)》2010,40(3)

西北太平洋柔鱼是我国鱿钓渔业重要捕捞对象,种群结构是渔业生物学研究的基础内容.文中根据2007年7~10月40°N~45°N,151°E~158°E海域连续采集的1 342尾柔鱼样本,测定其胴长(ML)、腕长等12项形态指标,利用正态线性转化、主成分分析和判别分析等方法研究雌雄个体的种群结构.结果表明,该海域雌、雄柔鱼均存在大小2个种群.均数差异显著性表明,雌性个体2个种群在MW/ML和FW/ML存在显著差异,雄性个体在MW/ML和AL_3/ML存在显著差异,但其形态差异仍属于种内差异.主成分分析和逐步判别分析的判别准确率(雌性60.3%,雄性60.1%),说明所划分的种群在部分形态比指标上差异明显.研究认为,形态学指标可初步区分西北太平洋柔鱼种群,但需结合其他生态学指标和耳石等硬组织进一步划分.  相似文献   

Numerical modeling and neural networks to identify model parameters from piezocone tests: I. FEM analysis of penetration in two‐phase continuum     

Rafał F. Obrzud  Andrzej Truty  Laurent Vulliet 《国际地质力学数值与分析法杂志》2011,35(16):1703-1730

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Identification of Convective and Stratiform Clouds Based on the Improved DBSCAN Clustering Algorithm     

Yuanyuan ZUO  Zhiqun HU  Shujie YUAN  Jiafeng ZHENG  Xiaoyan YIN  Boyong LI 《大气科学进展》2022,39(12):2203-2212

A convective and stratiform cloud classification method for weather radar is proposed based on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. To identify convective and stratiform clouds in different developmental phases, two-dimensional (2D) and three-dimensional (3D) models are proposed by applying reflectivity factors at 0.5° and at 0.5°, 1.5°, and 2.4° elevation angles, respectively. According to the thresholds of the algorithm, which include echo intensity, the echo top height of 35 dBZ (ET), density threshold, and ε neighborhood, cloud clusters can be marked into four types: deep-convective cloud (DCC), shallow-convective cloud (SCC), hybrid convective-stratiform cloud (HCS), and stratiform cloud (SFC) types. Each cloud cluster type is further identified as a core area and boundary area, which can provide more abundant cloud structure information. The algorithm is verified using the volume scan data observed with new-generation S-band weather radars in Nanjing, Xuzhou, and Qingdao. The results show that cloud clusters can be intuitively identified as core and boundary points, which change in area continuously during the process of convective evolution, by the improved DBSCAN algorithm. Therefore, the occurrence and disappearance of convective weather can be estimated in advance by observing the changes of the classification. Because density thresholds are different and multiple elevations are utilized in the 3D model, the identified echo types and areas are dissimilar between the 2D and 3D models. The 3D model identifies larger convective and stratiform clouds than the 2D model. However, the developing convective clouds of small areas at lower heights cannot be identified with the 3D model because they are covered by thick stratiform clouds. In addition, the 3D model can avoid the influence of the melting layer and better suggest convective clouds in the developmental stage.  相似文献