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您的检索式：作者名="CONG Menglong"
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| 1 | Detection of chemical oxygen demand in water based on UV absorption spectroscopy and PSO-LSSVM algorithm显示文摘A method of detecting chemical oxygen demand(COD) of water based on ultraviolet(UV) absorption spectra is proposed. The modeling and analysis of the standard samples and the actual water samples are carried out respectively. For the standard solution samples, the univariate linear models based on single wavelengths and the partial least square(PLS) model based on synergy interval partial least square(Si PLS) and moving window partial least square(MWPLS) are established. For the actual water samples, different pre-processing methods are used. Si PLS and MWPLS are used to select the characteristic bands. The least squares support vector machine algorithm optimized by particle swarm optimization(PSO-LSSVM) algorithm is used to establish the prediction model, and the prediction results of various models are compared. The results show that the optimal model is PSO-LSSVM which uses Si PLS to select the characteristic bands of the first derivative spectra(preprocessing method). The determination coefficient of the prediction set is 0.963 1, and the root mean square error of prediction(RMSEP) is 2.225 4 mg/L. PSO-LSSVM algorithm has good prediction performance for the analysis of COD in actual water samples by UV spectra. This paper provides a new design idea for the research and development of water quality detection optical sensor. | ZHOU Kunpeng LIU Zhiyang CONG Menglong MAN Shanxin | 2022 | Optoelectronics Letters2022，18，4： | 1 |
| 2 | Analysis on influencing factors of detecting chemical oxygen demand in water by three-dimensional spectroscopy显示文摘This paper focuses on the standard chemical oxygen demand(COD)liquid and studies the impact of pH,nitrite nitrogen,nitrate nitrogen,heavy metals,salinity,and other factors on fluorescence intensity and fluorescence peak positions during the detection of COD in water using fluorescence spectrometry.The influence mechanisms of different environmental factors on fluorescence spectra are also analyzed.Results indicate that pH value affects the fluorescence emission wavelength(Em),resulting in a red shift from 1.5 to 7.2,and a blue shift from 7.2 to 12.3.Nitrate nitrogen can react with organic matter in water to form nitro compounds,leading to a decrease in fluorescence intensity.Salinity has a negligible effect on T1 peak but a relatively large effect on T2 peak.Heavy metal ion concentration has a significant impact on T2 peak,while T1 peak position shifts with an increase in heavy metal ions.This study aims to explore the factors that can impact the detection of COD in water using three-dimensional fluorescence spectrometry,providing references to improve accuracy and practicability for COD detection based on three-dimensional fluorescence spectrometry. | ZHOU Kunpeng LIU Zhiyang CONG Menglong MAN Shanxin | 2024 | Optoelectronics Letters2024，20，1： | 0 |
| 3 | Analysis on influencing factors of detecting chemical oxygen demand in water by ultraviolet absorption spectroscopy显示文摘Taking the standard solution and actual water samples as the research object, this paper studies the influence of various environmental factors(temperature, alkalinity(pH), inorganic salt ions and salinity) on the detection of chemical oxygen demand(COD) in water by ultra-violet(UV) spectrometry, analyzes the influence mechanism, and draws relevant conclusions. The results show that the UV absorbance of the COD standard solution and the actual river water samples varies very little with temperature. The value of pH has certain impact on both the standard solution and the actual water samples, but the pH values of the affected experimental samples are in different ranges. The effects of nitrogen salt ions(NO_(2)^(-)and NO_(3)^(-)) on the UV absorption spectra can be eliminated by intercepting the UV spectrum interval less affected for modeling. The influence of salinity values below 35‰ on the UV absorption spectrum of water is mainly concentrated in the spectral band of 200—250 nm, and the influence above 250 nm is very little. This paper provides a preliminary analysis and discussion on the influence mechanism and laws of various environmental factors in the detection of water quality parameters by UV spectrometry, which provides an experimental basis for selecting the optimal test conditions when establishing the COD prediction model. | ZHOU Kunpeng LIU Zhiyang CONG Menglong MAN Shanxin | 2022 | Optoelectronics Letters2022，18，12： | 0 |
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