Abstract：The absorption rate of ultraviolet could be used to measure the concentration of organic pollutant, as most of the organic pollutant has stronger absorption rate in ultraviolet region in water. In the present paper, principal component regression (PCR), partial least squares (PLS), and support vector machine (SVM) were respectively used to model a regression model after the spectrum preprocessing, such as smoothing, derivation, standard normal variate transformation (SNV), etc. Then, the concentration of organic pollutant could be measured via the ultraviolet spectrum and the regression model. In the experiments, a group of water samples from the wastewater treatment process were used to verify the effects of the various preprocessing and modeling approaches. The results showed that for the good spectrum data, direct modeling without the spectrum pretreatment could be used since the pretreatment would worsen the results. LSSVM approach is more applicable in the case of small-size samples.
Key words：Ultraviolet spectrum;Detection of organic pollutant concentration;Pretreatment;Modeling
吴元清，杜树新*，严 赟 . 水体有机污染物浓度检测中的紫外光谱分析方法 [J]. 光谱学与光谱分析, 2011, 31(01): 233-237.
WU Yuan-qing, DU Shu-xin*, YAN Yun . Ultraviolet Spectrum Analysis Methods for Detecting the Concentration of Organic Pollutants in Water . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(01): 233-237.
