辽东湾鲅鱼圈赤潮与环境因子分析-海洋预报

辽东湾鲅鱼圈赤潮与环境因子分析

单位：国家海洋局北海预报中心山东青岛 266033

分类号：P731

出版年·卷·期（页码）：2005·2005·第二期（1-6）

摘要：

赤潮的发生是一个复杂的生态变化过程,赤潮藻的快速增殖不仅需要丰富的营养物质基础,适宜的物理环境条件亦是不可或缺的,是诸如水文、气象、物理、化学和生物因子综合作用的结果。辽东湾为我国北方海域赤潮最频繁海域。本文就1998年~2003年5月间发生在辽东湾的赤潮过程,从天气形势、水文气象环境动力因子的角度对赤潮的暴发进行分析研究与统计,得出了赤潮暴发的相似天气形势及水文气象环境动力因子的变化规律,试图探索其预报的可能性。并就2001年北海分局在鲅鱼圈监测到的赤潮水文、气象、物理、化学等环境因子数据,运用正交分析、聚类分析多元统计分析方法,分析了赤潮发生过程中环境因子的变化规律,试图寻找影响赤潮的主导因子与重要因子。

The occurrence of red tide is a sophisticated process of ecological variation; red tide algae need not only abundant nutrients to reproduce quickly, but also proper environmental conditions, such as hydrological, meteorological, physical, chemical, and biological factors combined. The Liaodong Bay is the most frequent place of red tide in the north sea area of our country. Based on the red tides occurred in Liaodong Bay between 1998 and May 2003, this paper studies and analyzes the conditions for occurrence of red tide. We introduce the similar weather conditions and the variation mechanism of hydrological and meteorological environmental dynamic factors under which red tide occurs, and explore the possibility of red tide forecast. Then based on the data about the hydrological, meteorological, physical, and chemical environmental factors of the red tides observed by the North China Sea Branch, SOA, in 2001 in Bayuquan, and this paper employed orthogonal analysis, cluster analysis, and multivariate analysis, this paper analyzes the variation mechanism of environmental factors during red tide occurrences, to ascertain the important and major factors engendering red tides.

参考文献：

[1] Morel A. and Prieur L. Analysis of variations in ocean color. Limnol. Oceanogr. 1977, 22: 709～722.
[2] Gordon R. and Morel A. Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery. A Review,Lecture Notes on Coastal and Estuarine Studies, R T. Barber, K. Mooers, M J. Bowman and B. Zeitzschel (eds.),Springer-Verlag, NewYork, 1983, 114.
[3] N.G.杰尔若夫,海洋光学,科学出版社.
[4] Smith R C. and K S. Baker. The bio-optical state of ocean waters. Limnol. Oceanogr. 1978(a), 23: 247～259.
[5] Smith R C. and K S. Baker. Optical classification of natural waters. Limnol. Oceanogr. 1978(b), 23: 260～267.
[6] LouisPrieurandShubha Sathyendranath, An optical classfication of coastal and oceanic waters based on the specific spectral absorption curves ofphytoplankton pigments, dissolved organic matter, and other particulate materials. Limnol. Oceanogr.1981,26(4): 671 ～689.
[7] Neumann, A., Krawczyk, H. and Walzel, T. A complex approach to quantitative interpretation of spectral high resolution imagery. Third Thematic conference on Remote sensing for Marine and coastal Environments, sattle, 1995, USA 11-6411-652.
[8] Aliken J, Moore G F, Tress C C, Hooker S B, Clark D K. The SeaWiFS CZCS-Type Pigment Algorithm. NASA Tech Memo (104566), 1995,34 (29).

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