Literature DB >> 26231579

Use of log-transformed absorbance spectra for online monitoring of the reactivity of natural organic matter.

Paolo Roccaro1, Mingquan Yan2, Gregory V Korshin3.   

Abstract

This study examined the significance of water quality monitoring parameters obtained via logarithmic transformation of the absorbance spectra of raw and treated drinking water. The data were generated using samples of the influent, settled and filtered water acquired weekly over a six months period at two full scale treatment plants. Examination of the weekly plant samples combined with the data of laboratory fractionation and chlorination experiments showed that the slopes of the log-transformed spectra are correlated with typically reported water quality parameters (e.g., its specific absorbance at 254 nm, SUVA254); yet the determination of spectral slopes is considerably simpler and potentially information-rich. The spectral slopes determined for the range of wavelength 280-350 nm were shown to be correlated with the yields of trihalomethanes (THMs) and haloacetic acids (HAAs). These results support the notion that multi-wavelength monitoring of the absorbance spectra of drinking water and their interpretation via logarithmic transformation constitutes a promising practically implementable approach for online water quality monitoring.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aromaticity; Disinfection by-products; Haloacetic acids; SUVA; Spectral slope; Trihalomethanes

Mesh:

Substances:

Year:  2015        PMID: 26231579     DOI: 10.1016/j.watres.2015.07.029

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

1.  Ozonation effects on emerging micropollutants and effluent organic matter in wastewater: characterization using changes of three-dimensional HP-SEC and EEM fluorescence data.

Authors:  Chen Liu; Penghui Li; Xiangyu Tang; Gregory V Korshin
Journal:  Environ Sci Pollut Res Int       Date:  2016-07-27       Impact factor: 4.223

2.  Use of ultraviolet-visible spectrophotometry associated with artificial neural networks as an alternative for determining the water quality index.

Authors:  Edson Marcelino Alves; Ramon Juliano Rodrigues; Caroline Dos Santos Corrêa; Tiago Fidemann; José Celso Rocha; José Leonel Lemos Buzzo; Pedro de Oliva Neto; Eutimio Gustavo Fernández Núñez
Journal:  Environ Monit Assess       Date:  2018-05-02       Impact factor: 2.513

3.  The role of visible light active TiO2 specimens on the solar photocatalytic disinfection of E. coli.

Authors:  Nazmiye Cemre Birben; Ayse Tomruk; Miray Bekbolet
Journal:  Environ Sci Pollut Res Int       Date:  2016-10-06       Impact factor: 4.223

4.  Chemical Cleaning of Ultrafiltration Membrane Fouled by Humic Substances: Comparison between Hydrogen Peroxide and Sodium Hypochlorite.

Authors:  Kai Li; Shu Li; Tinglin Huang; Chongzhe Dong; Jiawei Li; Bo Zhao; Shujia Zhang
Journal:  Int J Environ Res Public Health       Date:  2019-07-18       Impact factor: 3.390

5.  Spectrophotometric Online Detection of Drinking Water Disinfectant: A Machine Learning Approach.

Authors:  Sharif Hossain; Christopher W K Chow; Guna A Hewa; David Cook; Martin Harris
Journal:  Sensors (Basel)       Date:  2020-11-21       Impact factor: 3.576

  5 in total

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