紫外-可见光水质参数在线监测技术研究进展

doi:10.6046/zrzyyg.2020409

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摘要

利用溶液中物质的分子或离子对紫外-可见光全谱段的吸收特性来定性、定量研究水质参数的光谱分析方法,具有检测速度快、成本低、原位测量、无二次污染、可实现水质的多参数同时在线监测等优点。在论述水质光谱分析理论依据的基础上,系统分析了各种测量方式的原理和各自特点,通过对比国内外全谱段水质在线监测设备,指出了建立高精度在线水质参数反演的关键技术难点,进一步展望了水质光谱多参数在线监测系统的发展趋势。为基于光谱分析理论的水环境监测技术研究和水质参数检测仪器开发提供参考。

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	陈洁
	张立福
	张琳珊
	张红明
	童庆禧

关键词 ：高光谱, 光谱分析, 水质参数, 在线监测

Abstract：

The spectral analysis method can be used to qualitatively and quantitatively research water quality parameters using the characteristics that the molecules or ions of substances in the solution can absorb the full spectrum of ultraviolet-visible light. It enjoys the advantages such as high detection speed, low cost, in-situ measurement, no secondary pollution, and the simultaneous online monitoring of multiple water quality parameters. Based on the statement of the theoretical basis of water quality spectrum analysis, this paper systematically analyzes the principles and characteristics of various measurement methods. By comparing domestic and foreign full-spectrum water quality online monitoring devices, this paper points out the key technological difficulties in the establishment of high-precision online inversion models of water quality parameters and further proposes the development trends of multi-parameter online monitoring systems of water quality using the spectral analysis method. Therefore, this paper will provide a reference for the research on water environment monitoring technologies and the development of instruments for water quality parameter detection based on the theories of spectral analysis.

Key words： hyperspectral spectral analysis water quality parameters online monitoring

收稿日期: 2020-12-17 出版日期: 2021-12-23

ZTFLH:

TP79

基金资助:国家自然科学基金项目“基于紫外-可见光谱法的感潮河段在线水质参数自适应LSTM神经网络反演模型研究”(41977154);中国地质调查局项目“长江上游重大区航空遥感地质调查”(DD20190514);国家自然科学基金重点项目“多维时空谱遥感数据综合与表征关键理论与方法研究”(41830108)

作者简介: 陈洁(1980-),男,博士研究生,研究方向为高光谱遥感技术及地质调查应用。Email: chenj@mail.cgs.gov.cn。

引用本文:

陈洁, 张立福, 张琳珊, 张红明, 童庆禧. 紫外-可见光水质参数在线监测技术研究进展[J]. 自然资源遥感, 2021, 33(4): 1-9.
CHEN Jie, ZHANG Lifu, ZHANG Linshan, ZHANG Hongming, TONG Qingxi. Research progress on online monitoring technologies of water quality parameters based on ultraviolet-visible spectra. Remote Sensing for Natural Resources, 2021, 33(4): 1-9.

链接本文:

https://www.gtzyyg.com/CN/10.6046/zrzyyg.2020409 或 https://www.gtzyyg.com/CN/Y2021/V33/I4/1

Tab.1 国内外水质光谱在线监测设备技术指标对比

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