Depth Profiling Investigation of Seawater Using Combined Multi-Optical Spectrometry

作者
Wangquan Ye,Jinjia Guo,Nan Li,Fujun Qi,Kai Di Cheng,Ronger Zheng
出处
期刊:Applied Spectroscopy [SAGE Publishing]
卷期号:74 (5): 563-570 被引量:14
标识
DOI:10.1177/0003702820906890
摘要

Depth profiling investigation plays an important role in studying the dynamic processes of the ocean. In this paper, a newly developed hyphenated underwater system based on multi-optical spectrometry is introduced and used to measure seawater spectra at different depths with the aid of a remotely operated vehicle (ROV). The hyphenated system consists of two independent compact deep-sea spectral instruments, a deep ocean compact autonomous Raman spectrometer and a compact underwater laser-induced breakdown spectroscopy system for sea applications (LIBSea). The former was used to take both Raman scattering and fluorescence of seawater, and the LIBS signal could be recorded with the LIBSea. The first sea trial of the developed system was taken place in the Bismarck Sea, Papua New Guinea, in June 2015. Over 4000 multi-optical spectra had been captured up to the diving depth about 1800 m at maximum. The depth profiles of some ocean parameters were extracted from the captured joint Raman–fluorescence and LIBS spectra with a depth resolution of 1 m. The concentrations of [Formula: see text] and the water temperatures were measured using Raman spectra. The fluorescence intensities from both colored dissolved organic matter (CDOM) and chlorophyll were found to be varied in the euphotic zone. With LIBS spectra, the depth profiles of metallic elements were also obtained. The normalized intensity of atomic line Ca(I) extracted from LIBS spectra raised around the depth of 1600 m, similar to the depth profile of CDOM. This phenomenon might be caused by the nonbuoyant hydrothermal plumes. It is worth mentioning that this is the first time Raman and LIBS spectroscopy have been applied simultaneously to the deep-sea in situ investigations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
丘比特的应助被chen9u0采纳,获得10
刚刚
星光完成签到,获得积分10
刚刚
刚刚
斯文败类的应助被angelinazh采纳,获得10
1秒前
2秒前
SciGPT的应助被张张采纳,获得10
2秒前
满意巨人发布了新的文献求助10
2秒前
w32完成签到,获得积分10
2秒前
所所的应助被水晶鞋小兔头采纳,获得10
3秒前
爱吃肉肉的手性分子完成签到,获得积分10
3秒前
3秒前
终梦发布了新的文献求助10
4秒前
斯文败类的应助被htt采纳,获得10
4秒前
突然停电了完成签到,获得积分10
5秒前
JerryPanJ的应助被zhdjj采纳,获得10
5秒前
卡牌大师完成签到,获得积分10
5秒前
bkagyin的应助被古月味动力采纳,获得10
5秒前
yu发布了新的文献求助10
7秒前
sun完成签到,获得积分20
7秒前
研友_8oYW7n完成签到,获得积分10
7秒前
卡牌大师发布了新的文献求助10
8秒前
科研狗的应助被科研通管家采纳,获得30
10秒前
星辰大海的应助被科研通管家采纳,获得10
10秒前
heyou完成签到 ,获得积分10
10秒前
在水一方的应助被xzj采纳,获得10
10秒前
JamesPei的应助被科研通管家采纳,获得30
10秒前
李健的应助被科研通管家采纳,获得10
10秒前
assistant完成签到,获得积分10
10秒前
从容仇血的应助被科研通管家采纳,获得10
10秒前
Sledge的应助被科研通管家采纳,获得10
10秒前
Owen的应助被科研通管家采纳,获得30
10秒前
Dx的应助被科研通管家采纳,获得10
11秒前
顾矜的应助被科研通管家采纳,获得10
11秒前
共享精神的应助被科研通管家采纳,获得10
11秒前
碎冰冰完成签到,获得积分10
11秒前
bkagyin的应助被科研通管家采纳,获得10
11秒前
爆米花的应助被科研通管家采纳,获得10
11秒前
乐乐的应助被科研通管家采纳,获得10
11秒前
在水一方的应助被科研通管家采纳,获得20
11秒前
wanci的应助被科研通管家采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
From Scaling and Perturbation to Stability 5000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8030657
求助须知:如何正确求助?哪些是违规求助? 9469807
关于积分的说明 21240137
捐赠科研通 7600494
什么是DOI,文献DOI怎么找? 3388508
关于科研通互助平台的介绍 2520825
邀请新用户注册赠送积分活动 2425335