| 基于紫外-可见光光谱的水质分析方法研究进展与应用 |
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| 引用本文： | 侯迪波,张坚,陈泠,黄平捷,张光新. 基于紫外-可见光光谱的水质分析方法研究进展与应用[J]. 光谱学与光谱分析, 2013, 33(7): 1839-1844. DOI: 10.3964/j.issn.1000-0593(2013)07-1839-06 |
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| 作者姓名： | 侯迪波 张坚 陈泠 黄平捷 张光新 |
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| 作者单位： | 1. 浙江大学控制科学与工程学系，浙江大学工业控制国家重点实验室, 浙江 杭州 310027
2. 杭州市水务控股集团有限公司，浙江 杭州 310009 |
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| 基金项目： | 国家重大科技专项，国家自然科学基金项目，中央高校基本科研业务费专项资金项目 |
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| 摘 要： | 相对于传统水质分析方法，紫外-可见光(ultraviolet-visible，UV-Vis)光谱法具有检测速度快、维护成本低、无二次污染等优点，目前已被广泛应用于水质在线监测各个领域。介绍了UV-Vis光谱法的检测原理，论述了基于UV-Vis光谱的常规水质分析方法研究现状，以及UV-Vis光谱法与其他水质检测方法相融合以提高水质检测性能方面的研究进展，探讨了UV-Vis光谱分析在水质多参数在线监测、水质分类、水质报警等方面的应用现状及其发展趋势。
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| 关 键 词： | UV-Vis 光谱分析 水质 在线监测 |
| 收稿时间： | 2012-11-27 |
Water Quality Analysis by UV-Vis Spectroscopy: A Review of Methodology and Application |
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| HOU Di-bo , ZHANG Jian , CHEN Lin , HUANG Ping-jie , ZHANG Guang-xin. Water Quality Analysis by UV-Vis Spectroscopy: A Review of Methodology and Application[J]. Spectroscopy and Spectral Analysis, 2013, 33(7): 1839-1844. DOI: 10.3964/j.issn.1000-0593(2013)07-1839-06 |
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| Authors: | HOU Di-bo ZHANG Jian CHEN Lin HUANG Ping-jie ZHANG Guang-xin |
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| Affiliation: | 1. Department of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China2. Hangzhou Water Holding Group Co., Ltd., Hangzhou 310009, China |
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| Abstract: | Compared with the traditional approaches, UV-Vis spectroscopy is gaining growing acceptance in the field of online water-quality monitoring as an effective method for water quality analysis. UV-Vis spectroscopy has the advantages of fast response, low maintenance costs, and no secondary pollution. In the present paper, the principle of water quality analysis by UV-Vis spectroscopy is introduced. Existing researches on the online analysis of water quality using UV-Vis spectrum and data fusion technologies are comprehensively reviewed. The applications of UV-Vis based methods in multi-parameter water-quality monitoring, water-quality classification, and water-quality alarm are also discussed. Finally, future research directions are outlined. |
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| Keywords: | UV-Vis Spectrum analysis Water quality Online monitoring |
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