Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing
Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing
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基于压缩感知的水质紫外可见光谱数据校正方法研究
DOI：
10.1155/2021/6650630
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发表时间：
2021-07-02
影响因子：
2
通讯作者：
Zhou, Mi
中科院分区：
文献类型：
--
作者：
Li, Fengxiao;Tang, Bin;Zhou, Mi
水中悬浮颗粒物引起的浊度干扰严重影响紫外-可见光谱法检测水质化学需氧量的准确性。基于此，应用紫外-可见光谱法检测水质化学需氧量通常需要采用物理和数学方法来校正浊度引起的光谱基线干扰。针对传统校正方法响应速度慢、补偿效果不稳定的问题，提出采用压缩感知算法进行基线校正，取得了较好的效果。实验中选择福尔马嗪浊度溶液和草酸钠标准溶液，对紫外可见光谱法检测水质化学需氧量的浊度校正算法进行了研究。实验获得了不同浓度福尔马肼浊度溶液和相同浓度草酸钠与不同浊度标准溶液在210 ~ 845 nm处的吸收光谱，分析了吸光度对浊度的非线性影响。本文利用标准溶液实验探索了压缩感知理论用于浊度校正的方法，并通过对实际水样吸收光谱的校正，验证了压缩感知理论用于浊度校正的可行性。该方法有效校正了悬浮颗粒物引起的水质紫外-可见吸收光谱的基线漂移或漂移，同时保留了紫外光谱的吸收特性，可有效提高紫外-可见光谱水质化学需氧量检测的准确度和准确度。
The turbidity interference caused by suspended particles in water seriously affects the accuracy of ultraviolet-visible spectroscopy in detecting water quality chemical oxygen demand. Based on this, the application of ultraviolet-visible spectroscopy to detect water quality chemical oxygen demand usually requires physical and mathematical methods to correct the spectral baseline interference caused by turbidity. Because of the slow response speed and unstable compensation effect of traditional correction methods, this paper proposes to use a compressed sensing algorithm to perform baseline correction and achieve good results. In the experiment, we selected formazin turbidity solution and sodium oxalate standard solution and carried out the research on the algorithm of turbidity correction for detecting chemical oxygen demand of water quality by ultraviolet-visible spectroscopy. The experiment obtains the absorption spectra of different concentrations of formazine turbidity solutions and the same concentration of sodium oxalate with different turbidity standard solutions at 210∼845 nm and analyzes the nonlinear effect of absorbance on turbidity. This article uses standard solution experiments to explore the compressed sensing theory for turbidity correction, and through the correction of the absorption spectrum of the actual water sample, it verifies the feasibility of the compression theory for turbidity correction. The method effectively corrects the baseline shift or drift of the water quality ultraviolet-visible absorption spectrum caused by suspended particles, while retaining the absorption characteristics of the ultraviolet spectrum, and it can effectively improve the accuracy and accuracy of the ultraviolet-visible spectroscopy water quality chemical oxygen demand detection.