Determination of chemical oxygen demand in wastewater by ultraviolet and near-infrared spectroscopy
- Received Date: 02/11/2015
- Accepted Date: 07/10/2015
- Available Online: 18/02/2017
Abstract: Use of conventional methods to determine chemical oxygen demand (COD) may result in a number of problems such as high pharmaceutical costs, low detection efficiency, difficulty of continuous monitoring, and a secondary liquid waste pollution. To solve these problems, an investigation has been conducted to study the feasibility of comprehensively using ultraviolet (NV) and near infrared (NIR) spectrum information to predict the COD content. The study is based on the existing UV-visible and NIR spectroscopy COD measurement technology. Researchers collected 100 water samples from a factory site and each water sample was divided into two sets:one set used conventional methods to measure COD and the result was seen as a reference value;the other set measured the spectrum in a range of 190-2,300 nm. Partial least squares (PLS) regression was used to process the sample spectrum data and to establish a COD prediction model for wastewater samples. It has been proven that the correlation coefficient of the predicted and measured values is 0.9671 and the root mean standard error of prediction is 24.8 mg·L-1, which demonstrates a good prediction. The results show that UV-NIR spectroscopy is a promising tool for the detection of COD in wastewater.