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浮游植物动力学模型及其在海域富营养化研究中的应用
引用本文:魏皓,赵亮,武建平.浮游植物动力学模型及其在海域富营养化研究中的应用[J].地球科学进展,2001,16(2):220-225.
作者姓名:魏皓  赵亮  武建平
作者单位:1. 青岛海洋大学物理海洋研究所,
2. 国家海洋局第一海洋研究所,
基金项目:国家重点基础研究发展规划(973)项目!“黄、东海生态系统动力学和生物资源可持续利用”(编号 :G19990 437)资助
摘    要:浮游植物动力学模型用来研究特定海域浮游植物生物量的时空分布规律,定量确定各种物理,生物过程的贡献,对解决浮游植物生物量异常增加导致的富营养化问题具有至关重要的作用,综述了国内外海洋浮游植物动力学模型研究的发展过程和现状,介绍了几种不同时空尺度浮游植物动力学模型的特点和性能,此类模型在发达国家的海域富营养化研究和环境管理中已取得了相当的进展,而我国目前虽已开展了海洋生态模型的初步研究,但面临一些困难,其中不仅需要获取特定海域的过程参数,而且急需对海域的强迫过程和边界过程加强认识。

关 键 词:浮游植物动力学  数值模型  海域富营养化  时空分布  海洋生态学
文章编号:1001-8166(2001)02-0220-06
修稿时间:2000年6月28日

REVIEW ON THE NUMERICAL MODELS OF PHYTOPLANKTON DYNAMICS AND THEIR APPLICATION IN ENVIRONMENT MANAGEMENT OF EUTROPHICATION
WEI Hao ,ZHAO Liang ,WU Jian ping.REVIEW ON THE NUMERICAL MODELS OF PHYTOPLANKTON DYNAMICS AND THEIR APPLICATION IN ENVIRONMENT MANAGEMENT OF EUTROPHICATION[J].Advance in Earth Sciences,2001,16(2):220-225.
Authors:WEI Hao  ZHAO Liang  WU Jian ping
Institution:1.Insititue of Physical Oceanography,Ocean University of Qingdao,Qingdao  266003,China; 2.First Institute of oceanography,State Oceanic Administration,Qingdao  266061,China
Abstract:The numerical models of phytoplankton dynamics can reproduce the spatial and temporal variation of alge and quantify the contributions of all physical and biological processes involved in phytoplankton production. It takes a great role when studying the eutrophication of coastal sea. A brief review on the model's development is given. Time dependent water column model is the initial state of physical biological couplling. Vertical resolved model, horizontal box model and three dimensional model can simulate the annual cycle of biomass. Short term model studies show a great importance of the short time physical processes to the evolution of marine ecosystem. More nutrients and function groups are included in the eutrophyication models. They must reproduce the variation of phytoplankton biomass at first. Then the response of the sea to the strategy of nutrient deduction can be investigated. More attention should be pay on the driven and boundary processes in our modelling studies.
Keywords:Phytoplankton dynamics  Numerical modeling  Costal eutrophication  
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