中国科学院南海海洋研究所机构知识库
Advanced  
SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)  > 期刊论文
学科主题: Marine & Freshwater Biology; Oceanography
题名: Partitioning particulate absorption coefficient into contributions of phytoplankton and nonalgal particles: A case study in the northern South China Sea
作者: Wang, GF ; Cao, WX ; Yang, DT ; Zhao, J
通讯作者: wxcao@scsio.ac.cn
关键词: light absorption ; spectral analysis ; suspended particulate matter ; phytoplankton ; northern South China Sea
刊名: ESTUARINE COASTAL AND SHELF SCIENCE
发表日期: 2008
卷: 78, 期:3, 页:513-520
收录类别: sci
部门归属: [Wang, Guifen; Cao, Wenxi; Yang, Dingtian; Zhao, Jun] Chinese Acad Sci, S China Sea Inst Oceanol, Key Lab Trop Marine Environm Dynam, Guangzhou 510301, Peoples R China; [Wang, Guifen; Zhao, Jun] Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
项目归属: LED
摘要: We measured the absorption coefficients of suspended particles (a(p)(lambda)) during three cruises from coastal waters to open ocean in the northern South China Sea (NSCS). The absorption contributions of phytoplankton (a(ph)(lambda)) and nonalgal particles (a(NAP)(lambda)) were determined using the methanol extraction method. Based on the dataset of about 360 samples, we examined the spectral relationships of the particle absorption coefficients. The results show that a(p)(lambda) spectra are well linearly correlated with a(p)(443) over the wavebands between 420-650 nm; a(ph)(lambda) could be well expressed as the second-order quadratic equations of a(ph)(443) among the blue-green wavebands, and a(NAP)(lambda) follows the general exponential function. Based on these spectral relationships, a model was proposed for partitioning the total particulate absorption coefficients into the contributions of phytoplankton and nonalgal particles using the nonlinear optimization method. The model was validated by comparing the computed results with in situ absorption coefficients. In some wavebands, such as 412 nm, 443 mu, 490 nm and 683 nm, we obtained good correlations with the percentage root mean square error (RMSE) values being controlled within 25% and the slopes being closer to 1.0. For samples from coastal waters, the discrepancy was a little large, which might be due to the higher absorption contributions from certain pheopigments. Overall, this model provides us much insight into phytoplankton absorption retrieval from in situ measurements and remote sensing ocean color data. (c) 2008 Elsevier Ltd. All rights reserved.
原文出处: 查看原文
WOS记录号: WOS:000257084000006
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/6001
Appears in Collections:热带海洋环境动力实验室(LTO)_期刊论文

Files in This Item:
File Name/ File Size Content Type Version Access License
Partitioning particulate absorption coefficient into contributions of phytoplankton and nonalgal particles A case study in the northern South China Sea .pdf(718KB)----开放获取--View 联系获取全文

Recommended Citation:
Wang, GF; Cao, WX; Yang, DT; Zhao, J.Partitioning particulate absorption coefficient into contributions of phytoplankton and nonalgal particles: A case study in the northern South China Sea,ESTUARINE COASTAL AND SHELF SCIENCE,2008,78(3):513-520
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Wang, GF]'s Articles
[Cao, WX]'s Articles
[Yang, DT]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Wang, GF]‘s Articles
[Cao, WX]‘s Articles
[Yang, DT]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: Partitioning particulate absorption coefficient into contributions of phytoplankton and nonalgal particles A case study in the northern South China Sea .pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院南海海洋研究所 - Feedback
Powered by CSpace