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引用本文:郑小慎,魏 皓,王玉衡.基于水色遥感的黄、东海叶绿素a浓度季节和年际变化特征分析.海洋与湖沼,2012,43(3):649-654.
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基于水色遥感的黄、东海叶绿素a浓度季节和年际变化特征分析
郑小慎, 魏 皓, 王玉衡
天津市海洋资源与化学重点实验室 天津科技大学海洋科学与工程学院
摘要:
海洋叶绿素a浓度是衡量海洋浮游植物的生物量和富营养化程度的最基本指标之一。黄、东海叶绿素a浓度年际变化显著, 其影响因素需深入分析。本文依据黄、东海的地理位置、水深和生态特征将其分为5个区域进行研究。由5个区域叶绿素a浓度的季节变化可以看出, 水华发生早晚依次是黄海西岸—北黄海中部—南黄海中部—东海陆架区—东海近岸海区。从年际变化可以看出, 除东海陆架外, 其它4个区域的变化幅度均较大。在冬季和夏季, 5 个区域的基础生物量在2008年均达到最低; 在春季和秋季, 黄、东海近岸和北黄海中部的年际变化较大, 5 个区域在2006年春季均达到最高; 2009年秋季较其它年份均低。5个区域基础生物量由高到低为: 黄、东海近岸较高, 然后是北黄海中部和南黄海中部, 东海陆架最低。从与水温、风速和有效光合辐射的相关分析来看, 浮游植物生长的年际变化受海面风速的影响较大。近岸区域水体混合均匀, 营养盐丰富, 风速较小时水体稳定有利于浮游植物生长, 而水深较深区域, 风速较大时, 营养盐易补充到表层, 有利于浮游植物生长。
关键词:  叶绿素a浓度, 水色遥感, 黄海, 东海, 季节和年际变化
DOI:10.11693/hyhz201203036036
分类号:
基金项目:国家重点基础研究发展计划(973)项目“中国近海水母暴发的关键过程、机理及生态环境效应”第六课题“水母灾害暴发机制与生态效应的模型研究”, 2011CB403606 号, “我国陆架海生态环境演变过程、机制及未来变化趋势预测”第四课题“我国陆架海生态环境演变机制综合分析及未来变化趋势预测”, 2010CB428904 号; 国家自然科学基金重点项目“黄海动力过程对生物生产支持与调节机制的数值研究”, 40830854 号
附件
SEASONAL AND INTER-ANNUAL VARIATIONS OF CHLOROPHYLL-a CONCENTRATION BASED ON THE REMOTE SENSING DATA IN THE YELLOW SEA AND EAST CHINA SEA
ZHENG Xiao-Shen, WEI Hao, WANG Yu-Heng
Tianjin Key Laboratory of Marine Resource and Chemistry, College of Marine Science and Engineering, Tianjin University of Science and Technology
Abstract:
Inter-annual variability of chlorophyll-a concentration was significant in the Yellow Sea (YS) and the East China Sea (ECS). According to the geographical location, water depth and ecological characteristics, the YS and ECS were divided into five sub-regions. Seasonal variations of chlorophyll-a concentration indicated the phytoplankton bloom in these sub-regions occurred first in YS-coast, then subsequently in NYS-center, SYS-center, ECS-shelf, and finally in ECS-coast. Inter-annual variations of chlorophyll-aconcentration in four of the sub-regions were large, except in ECS-shelf. In winter and summer, the average chlorophyll-a concentration of the five sub-regions all reached the minimum values in 2008. In spring, the average chlorophyll-a concentration of the five sub-regions reached the maximum in 2006. In autumn, the values in 2009 were lower than in other years. The biomass in YS-coast was the highest, followed by in ECS-coast, in NYS-center, in SYS-center, and in ECS-shelf. The main factor affecting the inter-annual variation of phytoplankton was wind. In shallow coastal waters where nutrients were rich, low wind speed and increased stability of water column were favorable for the growth of phytoplankton. In deep open ocean waters, high speed wind brought nutrients to the surface and thus helped the growth of phytoplankton.
Key words:  Chlorophyll-a concentration, Ocean color remote sensing, Yellow Sea, East China Sea, Seasonal and inter-annual variation
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