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Relationship between COD particle size distribution, COD fractionation and biodegradation characteristics in domestic sewage
Author(s) -
Noyan Kerem,
Allı Buşra,
Okutman Taş Didem,
Sözen Seval,
Orhon Derin
Publication year - 2017
Publication title -
journal of chemical technology and biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.64
H-Index - 117
eISSN - 1097-4660
pISSN - 0268-2575
DOI - 10.1002/jctb.5223
Subject(s) - fractionation , effluent , biodegradation , chemistry , chemical oxygen demand , pulp and paper industry , sewage , sewage treatment , environmental chemistry , chromatography , environmental science , environmental engineering , organic chemistry , engineering
BACKGROUND The study rationale was to explore the potential of particle size distribution ( PSD ) to support COD fractionation of sewage. Accordingly, the main aim focused on establishing the experimental relation between COD fractionation and PSD on two samples of a selected source, one representing the average character of the sewage and the other a weaker sample. PSD analyses were also conducted on effluent samples. RESULTS PSD profiles of COD yielded the typical bimodal distribution, one major peak representing 65% of COD , higher than 1600 nm and the second peak of 10% lower than 2 nm. Results were evaluated to underline the potential of PSD in complementing COD fractionation as related to biodegradation. PSD exhibited a close relationship with COD fractions with different biodegradation characteristics and defined all major COD fractions except the initial soluble and particulate inert COD fractions. CONCLUSION Selection of appropriate values for inert COD fractions together with default kinetic information available for sewage would enable modelling and designing of various biological treatment alternatives without the need for time consuming experiments on COD fractionation. Furthermore, PSD of biological treatment effluent provided concrete evidence for the generation of soluble residual products, which should be part of all modelling evaluations. © 2017 Society of Chemical Industry