Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods

Abstract Wastewater characterization is the basis for process design and operation optimization of wastewater treatment plants (WWTPs). In this work, a comprehensive study of the respirometry method has been performed to evaluate the biodegradable organic matters of wastewater. First, the optimal in...

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Autores principales:	Jingbing Zhang, Yuting Shao, Guohua Liu, Lu Qi, Hongchen Wang, Xianglong Xu, Shuai Liu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e92692ba3af24b2c9f7f2cd7c9d87b1e
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spelling	oai:doaj.org-article:e92692ba3af24b2c9f7f2cd7c9d87b1e2021-12-02T14:12:09ZWastewater COD characterization: RBCOD and SBCOD characterization analysis methods10.1038/s41598-020-80700-82045-2322https://doaj.org/article/e92692ba3af24b2c9f7f2cd7c9d87b1e2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80700-8https://doaj.org/toc/2045-2322Abstract Wastewater characterization is the basis for process design and operation optimization of wastewater treatment plants (WWTPs). In this work, a comprehensive study of the respirometry method has been performed to evaluate the biodegradable organic matters of wastewater. First, the optimal initial substrate to biomass ratio (S0/X0) was confirmed. Second, under the optimal S0/X0, the degradation curves of wastewater carbon oxygen demand (COD) components rapidly biodegradable COD (RBCOD) and slowly biodegradable COD (SBCOD) were obtained. Third, the Mann–Kendall test was performed to confirm the time point (t2) when endogenous respiration levels were reached, and the hydrolysis model was used to determine the time point (t1) of the SBCOD degradation stage. Considering the results, an adequate wastewater COD characterization method for RBCOD and SBCOD has been proposed. This study provides strong support to carry out effective and feasible process design, process diagnosis and optimization capability, can help achieve refined and stable operational management of WWTPs.Jingbing ZhangYuting ShaoGuohua LiuLu QiHongchen WangXianglong XuShuai LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jingbing Zhang Yuting Shao Guohua Liu Lu Qi Hongchen Wang Xianglong Xu Shuai Liu Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods
description	Abstract Wastewater characterization is the basis for process design and operation optimization of wastewater treatment plants (WWTPs). In this work, a comprehensive study of the respirometry method has been performed to evaluate the biodegradable organic matters of wastewater. First, the optimal initial substrate to biomass ratio (S0/X0) was confirmed. Second, under the optimal S0/X0, the degradation curves of wastewater carbon oxygen demand (COD) components rapidly biodegradable COD (RBCOD) and slowly biodegradable COD (SBCOD) were obtained. Third, the Mann–Kendall test was performed to confirm the time point (t2) when endogenous respiration levels were reached, and the hydrolysis model was used to determine the time point (t1) of the SBCOD degradation stage. Considering the results, an adequate wastewater COD characterization method for RBCOD and SBCOD has been proposed. This study provides strong support to carry out effective and feasible process design, process diagnosis and optimization capability, can help achieve refined and stable operational management of WWTPs.
format	article
author	Jingbing Zhang Yuting Shao Guohua Liu Lu Qi Hongchen Wang Xianglong Xu Shuai Liu
author_facet	Jingbing Zhang Yuting Shao Guohua Liu Lu Qi Hongchen Wang Xianglong Xu Shuai Liu
author_sort	Jingbing Zhang
title	Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods
title_short	Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods
title_full	Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods
title_fullStr	Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods
title_full_unstemmed	Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods
title_sort	wastewater cod characterization: rbcod and sbcod characterization analysis methods
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e92692ba3af24b2c9f7f2cd7c9d87b1e
work_keys_str_mv	AT jingbingzhang wastewatercodcharacterizationrbcodandsbcodcharacterizationanalysismethods AT yutingshao wastewatercodcharacterizationrbcodandsbcodcharacterizationanalysismethods AT guohualiu wastewatercodcharacterizationrbcodandsbcodcharacterizationanalysismethods AT luqi wastewatercodcharacterizationrbcodandsbcodcharacterizationanalysismethods AT hongchenwang wastewatercodcharacterizationrbcodandsbcodcharacterizationanalysismethods AT xianglongxu wastewatercodcharacterizationrbcodandsbcodcharacterizationanalysismethods AT shuailiu wastewatercodcharacterizationrbcodandsbcodcharacterizationanalysismethods
_version_	1718391819196170240

Wastewater COD characterization: RBCOD and SBCOD characterization analysis methods

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