期刊论文详细信息
Applied Sciences | |
A Novel Hybrid Strategy for Detecting COD in Surface Water | |
Guiping Zhang1  Qiaoling Du1  Xinpo Lu1  Yankai Wang1  | |
[1]State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, Changchun 130012, China | |
关键词: COD; first derivative; permutation entropy; partial least squares; turbidity compensation; | |
DOI : 10.3390/app10248801 | |
来源: DOAJ |
【 摘 要 】
The prediction of chemical oxygen demand (COD) by ultraviolet–visible absorption spectrum is a common method. Many researchers use the absorbance at the characteristic wavelength to establish COD prediction models. However, selecting the characteristic wavelength is a problem. In this paper, the extreme values of absorption spectrum change rate, was proposed as a new characteristic parameter to determine the characteristic wavelengths. On this basis, a novel hybrid strategy for detecting COD in surface water was proposed. We first proposed to combine the first derivative method with the permutation entropy method (FDPE) to determine the characteristic wavelengths. Then we used partial least square (PLS) to establish a COD prediction model. Experimental results demonstrated the linear correlation coefficient (【 授权许可】
Unknown