环境监控与预警2024,Vol.16Issue(3) :49-53.DOI:10.3969/j.issn.1674-6732.2024.03.008

VOCs在线监测远程质量控制可行性研究

Feasibility Study on Remote Quality Control of VOCs Online Monitoring System

薛京洲 李勇 杨任 何仁江
环境监控与预警2024,Vol.16Issue(3) :49-53.DOI:10.3969/j.issn.1674-6732.2024.03.008

VOCs在线监测远程质量控制可行性研究

Feasibility Study on Remote Quality Control of VOCs Online Monitoring System

薛京洲 1李勇 2杨任 3何仁江4
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作者信息

  • 1. 四川省泸州生态环境监测中心站,四川 泸州 646000
  • 2. 四川省宜宾生态环境监测中心站,四川宜宾 644000
  • 3. 常州磐诺仪器有限公司,江苏 常州 213000
  • 4. 环境健康效应及风险评估泸州市重点实验室,四川 泸州 646000;西南医科大学公共卫生学院,四川 泸州 646000
  • 折叠

摘要

地表水水质自动监测要求对主要监测指标具备远程质量控制功能,而对挥发性有机物(VOCs)在线监测没有明确要求.采用自行设计的标准溶液储存装置和一套吹扫捕集-气相色谱-氢火焰离子化检测器/电子捕获检测器(P&C-GC-FID/ECD)在线监测系统对水中19种VOCs组分开展了远程标准溶液测试.结果表明,19种VOCs组分在线加标回收率为88.8%~103.8%,在线多点线性测试相关系数为0.995 9~0.999 7,连续16 d标准溶液测试的示值误差范围为-18.91%~21.91%;VOCs在线监测系统远程质量控制是可行的,可实时监控仪器性能,有效预警预报水质状况.

Abstract

The automatic monitoring of surface water quality requires the main monitoring indicators to have remote quality control function,while there is no clear requirement for online monitoring of VOCs.This article conducted remote standard solution testing on 19 VOCs components in water using a self-designed standard solution storage device and an online monitoring system consisting of a purge capture gas chromatography-hydrogen flame ionization detector/electron capture detector(P&T-GC-FID/ECD).The experimental results show that the online spiked recovery rates of 19 VOCs components are 88.8%~103.8%,and the correlation coefficient range of online multi-point linear testing is 0.995 9~0.999 7.The error range of standard solution testing for 16 consecutive days is-18.91%~21.91%.The results show that the remote quality control of the VOCs online monitoring system is feasible,which can achieve real-time monitoring of instrument performance and effective warning and prediction of water quality.

关键词

挥发性有机物/气相色谱/自动监测/远程质控

Key words

Volatile organic compounds/Gas chromatography/Automatic monitoring/Remote quality control

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基金项目

泸州市人民政府-西南医科大学科技战略合作项目(2023LZXNYDJ050)

西南医科大学校级科研项目(2021ZKQN004)

出版年

2024
环境监控与预警
江苏省环境监测中心

环境监控与预警

CSTPCD
影响因子:0.788
ISSN:1674-6732
参考文献量9
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