Potential organic matter management for industrial wastewater guidelines using advanced dissolved organic matter characterization tools

Journal Article (2022)
Author(s)

Sang Yeob Kim (Sejong University, TU Delft - BN/Cees Dekker Lab, IHE Delft Institute for Water Education)

Ji Won Park (Sejong University)

Jin Hyung Noh (Sejong University)

Young Ho Bae (Korea Environment Corporation )

Sung Kyu Maeng (Sejong University)

DOI related publication
https://doi.org/10.1016/j.jwpe.2022.102604 Final published version
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Publication Year
2022
Language
English
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Journal title
Journal of Water Process Engineering
Volume number
46
Article number
102604
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Abstract

Since 2021, national standards of South Korea for industrial wastewater discharge to surface water have changed from chemical oxygen demand to total organic carbon for the organic matter. Conventional organic matter parameters (e.g., biochemical oxygen demand, chemical oxygen demand and total organic carbon) are limited means of understanding the behavior of dissolved organic matter in industrial wastewater treatment processes. Thus, the current study used advanced dissolved organic matter characterization tools (e.g., fluorescence excitation emission matrix and size exclusion chromatography-organic carbon detection) to scrutinize industrial wastewater characteristics from three full-scale industrial wastewater treatment plants (IWTPs). The tools were conducive to tracking industrial wastewater sources of total organic carbon, influencing the overall performance of IWTPs, and proposing alternative processes to lower total organic carbon concentration in the effluent. The results of this study suggest that the diagnosis of IWTPs based on dissolved organic matter characteristics could be a useful tool for providing more insight into total organic carbon management.

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