摘要
东海原甲藻(Prorocentrum donghaiense Lu)是我国东海海域的典型赤潮藻种,其在水体中通常呈垂直非均匀分布,并存在季节性和日内的垂直迁移现象。本文通过量化垂直迁移过程中东海原甲藻的分布状态,利用Hydrolight软件数值模拟各状态下的水体反射光谱,研究其光谱特征和变化规律。利用叶绿素浓度高斯垂向模型表征东海原甲藻在水体中的垂直分布,结合东海近岸海域二类水体的生物光学模型,模拟得到垂直迁移过程中东海原甲藻赤潮水体的反射光谱。对比分析叶绿素浓度垂向分布参数(背景叶绿素浓度、甲藻主体水层厚度、水体总生物量和叶绿素浓度峰值深度)对水体反射光谱的影响。研究结果表明,在东海原甲藻从次表层向表层垂直向上迁移过程中,水体反射光谱数值在蓝绿波段(400-570nm)减小,在黄红波段(570-720nm)增大,特别是在叶绿素荧光效应波段(680nm)处的变化尤为明显。
The dinoflagellate Prorocentrum donghaiense is the main algal bloom species in the East China Sea,and it usually vertically distributes inhomogeneous,and migrates vertically.In this paper,using the vertical distribution of algal cell concentration obtained through field observations,Gaussian nonuniform vertical profile model of chlorophyll concentrations was established to represent for the different vertical migration stages of P.donghaiense.An ocean reflectance spectra model suitable for the optical complex waters was selected and applied to simulate each stage reflectance spectra of P.donghaiense by using Hydrolight 5.3 software.The effects of the parameters of the Gaussian model on the reflectance spectra of the dinoflagellate algal seawater were compared and analyzed.The results shows that during the vertical upward migration of the typical dinoflagellate alga,the remote sensing reflectance spectra decreased in the blue and green band(400-570 nm),and increased in the yellow and red band(570-720 nm),especially in the chlorophyll fluorescence effect band(680 nm).
作者
何烁
楼琇林
史爱琴
厉冬玲
王隽
张华国
HE Shuo;LOU Xiu-Lin;SHI Ai-Qin;LI Dong-Ling;WANG Juan;ZHANG Hua-Guo(State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,Ministry of Natural Resources,Hangzhou 310012,China)
出处
《海洋与湖沼》
CAS
CSCD
北大核心
2019年第3期525-531,共7页
Oceanologia Et Limnologia Sinica
基金
国家重点研发计划项目,2017YFC1404300号
国家自然科学基金项目41576175号,41576174号,41576172号
国家自然科学基金委东海科学考察实验研究,41649902号
NSFC-浙江两化融合联合基金项目,U1609201号,U1709201号
浙江省公益技术研究工业项目,2014C31016号
关键词
赤潮
东海原甲藻
垂直迁移
高斯分布
遥感反射光谱
red tide
Prorocentrum donghaiense
vertical migration
Gauss distribution
remote sensing reflectance spectra
