Literature DB >> 17386815

A method for determination of COD in a domestic wastewater treatment plant by using near-infrared reflectance spectrometry of seston.

Antonio C Sousa1, Maria Mônica L M Lucio, Ovídeo F Bezerra Neto, Glauciene P S Marcone, Alessandra F C Pereira, Edilene O Dantas, Wallace D Fragoso, Mario Cesar U Araujo, Roberto K H Galvão.   

Abstract

This paper proposes a method for determination of chemical oxygen demand (COD) in domestic wastewater. The proposed method is based on near-infrared reflectance (NIRR) measurements of seston collected from wastewater samples by filtration. The analysis does not require any special reagent, catalyst or solvent. Inherent baseline and noise features present in NIRR spectra are removed by a Savitzky-Golay derivative procedure followed by wavelet denoising. The resulting wavelet approximation coefficients are used for partial-least-squares modelling and subsequent prediction of COD values in new samples. The model is calibrated by using COD values obtained according to the American Public Health Association (APHA) reference method. The proposed method is applied to effluent samples from the anaerobic ponds of the Mangabeira municipal wastewater treatment plant in the city of João Pessoa (Paraíba, Brazil). By comparing the NIRR prediction results with the APHA reference values, a root-mean-square error of prediction (RMSEP) of 19 mg O2 L(-1) and a correlation of 0.97 were obtained. Such results are deemed adequate in view of the joint estimate of the standard error of the reference method, which was calculated as 21 mg O2 L(-1).

Entities:  

Year:  2007        PMID: 17386815     DOI: 10.1016/j.aca.2007.02.022

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  3 in total

1.  Global calibration model of UV-Vis spectroscopy for COD estimation in the effluent of rural sewage treatment facilities.

Authors:  Peng Li; Jiangbei Qu; Yiliang He; Zhang Bo; Mengke Pei
Journal:  RSC Adv       Date:  2020-06-01       Impact factor: 4.036

2.  Performance Improvement of NIR Spectral Pattern Recognition from Three Compensation Models' Voting and Multi-Modal Fusion.

Authors:  Niangen Ye; Sheng Zhong; Zile Fang; Haijun Gao; Zhihua Du; Heng Chen; Lu Yuan; Tao Pan
Journal:  Molecules       Date:  2022-07-13       Impact factor: 4.927

3.  Visible and Near-Infrared Spectroscopy Combined With Bayes Classifier Based on Wavelength Model Optimization Applied to Wine Multibrand Identification.

Authors:  Tao Pan; Jiaqi Li; Chunli Fu; Nailiang Chang; Jiemei Chen
Journal:  Front Nutr       Date:  2022-07-18
  3 in total

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