An on-line monitoring system for nitrate in seawater based on UV spectrum | |
其他题名 | 一种基于紫外光谱法的海水硝酸盐在线监测系统 |
Li D(李丹); Feng WW(冯巍巍); Chen LX(陈令新); Zhang J(张骏); Zhang, J (reprint author), Yantai Univ, Inst Optoelect Informat Sci & Technol, Yantai 264005, Peoples R China.; Feng, WW (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Coastal Environm Engn Technol Res Ctr Shandong Pr, Yantai 264003, Peoples R China. [email protected]; [email protected]; [email protected] | |
发表期刊 | 光谱学与光谱分析 |
ISSN | 1000-0593 |
2016-02-15 | |
卷号 | 36期号:2页码:442-444 |
关键词 | 硝酸盐 紫外吸收光谱法 偏最小二乘法 在线监测 |
DOI | 10.3964/j.issn.1000-0593(2016)02-0442-03 |
产权排序 | [Li Dan; Zhang Jun] Yantai Univ, Inst Optoelect Informat Sci & Technol, Yantai 264005, Peoples R China; [Feng Wei-wei; Chen Ling-xin] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Coastal Environm Engn Technol Res Ctr Shandong Pr, Yantai 264003, Peoples R China |
作者部门 | 山东省海岸带环境工程技术研究中心 |
英文摘要 | Nitrate is one of the evaluation indicators of water quality, which is particularly important for water quality monitoring. A real-time on-line monitoring system of nitrate in water is introduced in this paper. And the ultraviolet absorption technology(190~370 nm) with partial least squares method is used to detect nitrate concentration. The automated online system based on ultraviolet absorption spectrum is capable of znalyzing samples without any sample preservation and without contamination problems. This system is fast, reliable, and sensitive enough for continuous use on monitoring stations and nitrate concentration can also be determined directly via its ultraviolet absorption spectrum. This system uses flow sample cell with 1cm optical path length, and a reference light is used to eliminate system error.The correlation coefficient for a liner function of the nitrate concentration is 0.99998. So the results of the system model test are in good correlation with the laboratory ones. Data collected has been analyzed statistically to determine how system model behave throughout the test, with special attention being paid to error analysis.As the average relative error is 0.65%, this system has greater stability and higher accuracy. The results of nitrate measurements by the field seawater tests in Yantai coast are obtained, which nitrate concentrations are about 0.2mg·L-1 in seawater, and the recoveries of samples for standard recovery tests are in 95% ~110%, it shows that this system is accurate, reliability and practicability and could be developed for detected nittate concentration in natural water.er. |
中文摘要 | 硝酸盐含量是水体质量指标之一,对于水质质量监测尤其重要。本文搭建了一种水体中硝酸盐在线原位监测系统,采用紫外吸收光谱法(190~240nm)计算水样吸光度,并通过建立的偏最小二乘模型测定硝酸盐浓度,可用于海洋,河流,湖泊等多种水体。该自动在线监测系统不需要进行水样预处理,无二次污染,能够快速,可靠,灵敏地直接测定现场水样的硝酸盐含量。本系统使用光程为1cm的流通式样品池,并采用参考光路消除系统误差。将系统测量模型得到的不同水样的硝酸盐浓度值与实验配制浓度值相比较,结果表明二者的线性拟合曲线的相关系数r为0.999 98,具有良好的相关性。对采集的浓度数据进行系统误差分析,得到其平均相对误差为0... |
文章类型 | Article |
资助机构 | 国家自然科学基金项目(69807003) ; 山东省自然科学基金项目(ZR2013DQ015)资助 |
收录类别 | SCI |
语种 | 中文 |
关键词[WOS] | SITU ULTRAVIOLET SPECTROPHOTOMETER |
研究领域[WOS] | Spectroscopy |
WOS记录号 | WOS:000370208400026 |
CSCD记录号 | CSCD:5618641 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/17331 |
专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境工程技术研究与发展中心 中国科学院海岸带环境过程与生态修复重点实验室 |
通讯作者 | Zhang, J (reprint author), Yantai Univ, Inst Optoelect Informat Sci & Technol, Yantai 264005, Peoples R China.; Feng, WW (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Coastal Environm Engn Technol Res Ctr Shandong Pr, Yantai 264003, Peoples R China. [email protected]; [email protected]; [email protected] |
作者单位 | 1.烟台大学光电信息科学技术学院 2.中国科学院烟台海岸带研究所山东省海岸带环境工程技术研究中心 |
推荐引用方式 GB/T 7714 | Li D,Feng WW,Chen LX,et al. An on-line monitoring system for nitrate in seawater based on UV spectrum[J]. 光谱学与光谱分析,2016,36(2):442-444. |
APA | Li D.,Feng WW.,Chen LX.,Zhang J.,Zhang, J .,[email protected].(2016).An on-line monitoring system for nitrate in seawater based on UV spectrum.光谱学与光谱分析,36(2),442-444. |
MLA | Li D,et al."An on-line monitoring system for nitrate in seawater based on UV spectrum".光谱学与光谱分析 36.2(2016):442-444. |
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