Methodology for selection of optical parameters as wastewater effluent organic matter surrogates.

Autor: Ulliman SL; Department of Civil, Environmental and Architectural Engineering, Environmental Engineering Program, University of Colorado Boulder, Colorado, 80309, United States., Korak JA; Department of Civil, Environmental and Architectural Engineering, Environmental Engineering Program, University of Colorado Boulder, Colorado, 80309, United States. Electronic address: Julie.Korak@colorado.edu., Linden KG; Department of Civil, Environmental and Architectural Engineering, Environmental Engineering Program, University of Colorado Boulder, Colorado, 80309, United States., Rosario-Ortiz FL; Department of Civil, Environmental and Architectural Engineering, Environmental Engineering Program, University of Colorado Boulder, Colorado, 80309, United States. Electronic address: Fernando.rosario@colorado.edu.
Jazyk: angličtina
Zdroj: Water research [Water Res] 2020 Mar 01; Vol. 170, pp. 115321. Date of Electronic Publication: 2019 Nov 21.
DOI: 10.1016/j.watres.2019.115321
Abstrakt: Absorbance- and fluorescence-based optical parameters are commonly used as surrogates in engineered systems, but there is no systematic approach for selecting robust parameters. This study develops a methodology that is applied to a case study of differentiating wastewater effluent organic matter from naturally-derived organic matter. The methodology defines criteria to identify optical parameters that could detect statistically significant compositional differences in organic matter, independent of organic matter concentration, and measure fluorescence-based parameters with low susceptibility to inner filter effects. The criteria were applied to 26 parameters that were measured for 11 pairs of source water and conventionally-treated wastewater samples collected from sites with varied spatial and temporal conditions. Only two parameters, apparent fluorescence quantum yield measured at excitation 370 nm and fluorescence peak ratio A:T, met the criteria across all sites. These results demonstrate and encourage an objective and robust process for selecting optical surrogates for organic matter characterization.
(Copyright © 2019 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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