Research on Water Quality Analysis Model with PCA Method and UV Absorption Spectra
ZHAO You-quan1, LI Xia1, LIU Xiao1, DONG Peng-fei1, WANG Ling-li1, WANG Xian-quan2
1. College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072，China 2. Electronic Information and Automation, Chongqing University of Technology, Chongqing 400054，China
Abstract：Using the UV absorption spectrum to detect Organic pollutants content in water has become one of the most important methods for real-time online monitoring in the field of water quality inspection, however, the water complex and unstable components often bring much uncertain offset to the standard test. In this paper, water samples were classified firstly by analyzing UV absorption spectrum ranging from 200 nm to 400 μm including the organic substances, through the way of combining principal component analysis (PCA) with Euclidean distance. In this paper, we compared the Principal component analysis combined with partial least squares regression (PCA-PLSR) and the direct multi-wavelength absorption models combined with partial least squares regression (MWA-PLSR), not only for the real water sample but also for the analysis of different concentrations of COD standard solution. The result indicates that the measurement errors of the PCA is less than 5%, it is the smallest by using the first and second principal components as regression parameters for PLSR. Using the methods above can simultaneously achieve to classify of water samples and to measure the concentration of water quality parameters more accurately.
赵友全1，李 霞1，刘 潇1，董鹏飞1，王伶俐1，王先全2. 基于PCA的水质紫外吸收光谱分析模型研究[J]. 光谱学与光谱分析, 2016, 36(11): 3592-3596.
ZHAO You-quan1, LI Xia1, LIU Xiao1, DONG Peng-fei1, WANG Ling-li1, WANG Xian-quan2. Research on Water Quality Analysis Model with PCA Method and UV Absorption Spectra. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(11): 3592-3596.
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