Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach

This study was conducted to determine the nutrient removal efficiency via the application of mixed cultures from the synthetic hatchery wastewater based on the first-order, second-order and Stover Kincannon models. The synthetic wastewater was prepared according to the characterization of the collec...

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Main Authors: Norazwina, Zainol, Nor Hazwani, Aziz, Nur Husnina, Mohamed Nor Rahim
Format: Article
Language:English
Published: EnPress Publisher, LLC 2023
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Online Access:http://umpir.ump.edu.my/id/eprint/40653/1/Kinetic%20modelling%20for%20COD%20and%20nitrate-N%20removal.pdf
http://umpir.ump.edu.my/id/eprint/40653/
https://doi.org/10.24294/ace.v6i3.2259
https://doi.org/10.24294/ace.v6i3.2259
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spelling my.ump.umpir.406532024-04-30T06:42:40Z http://umpir.ump.edu.my/id/eprint/40653/ Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach Norazwina, Zainol Nor Hazwani, Aziz Nur Husnina, Mohamed Nor Rahim QD Chemistry T Technology (General) TA Engineering (General). Civil engineering (General) TP Chemical technology This study was conducted to determine the nutrient removal efficiency via the application of mixed cultures from the synthetic hatchery wastewater based on the first-order, second-order and Stover Kincannon models. The synthetic wastewater was prepared according to the characterization of the collected hatchery wastewater sample, and the collected mixed cultures from the pond sediment were acclimatized accordingly. The samples were tested for chemical oxygen demand (COD) and nitrate-N concentration using a Hach spectrophotometer to determine the removal value of the nutrients. The findings show that the highest removal percentage for COD was up to 31.35% on day 3. Meanwhile, the highest removal percentage for nitrate-N was obtained on day 4 at 43.48%. The obtained correlation coefficient, R2 for COD through first-order, second-order, and Stover Kincannon models is 1, 0.6774, and 0.965, respectively, suggesting that the kinetics of COD removal can be described most properly by the first-order model. A similar model was also reported for nitrate-N with R2 value of 1, 0.7563, and 0.8693 for the first-order, second-order, and Stover Kincannon models, respectively. Based on the findings, the acclimatized mixed culture used in this study could be a potent natural COD and nitrate-N removal in the hatchery wastewater. EnPress Publisher, LLC 2023 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/40653/1/Kinetic%20modelling%20for%20COD%20and%20nitrate-N%20removal.pdf Norazwina, Zainol and Nor Hazwani, Aziz and Nur Husnina, Mohamed Nor Rahim (2023) Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach. Applied Chemical Engineering, 6 (2259). pp. 1-11. ISSN 2578-2010. (Published) https://doi.org/10.24294/ace.v6i3.2259 https://doi.org/10.24294/ace.v6i3.2259
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QD Chemistry
T Technology (General)
TA Engineering (General). Civil engineering (General)
TP Chemical technology
spellingShingle QD Chemistry
T Technology (General)
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Norazwina, Zainol
Nor Hazwani, Aziz
Nur Husnina, Mohamed Nor Rahim
Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach
description This study was conducted to determine the nutrient removal efficiency via the application of mixed cultures from the synthetic hatchery wastewater based on the first-order, second-order and Stover Kincannon models. The synthetic wastewater was prepared according to the characterization of the collected hatchery wastewater sample, and the collected mixed cultures from the pond sediment were acclimatized accordingly. The samples were tested for chemical oxygen demand (COD) and nitrate-N concentration using a Hach spectrophotometer to determine the removal value of the nutrients. The findings show that the highest removal percentage for COD was up to 31.35% on day 3. Meanwhile, the highest removal percentage for nitrate-N was obtained on day 4 at 43.48%. The obtained correlation coefficient, R2 for COD through first-order, second-order, and Stover Kincannon models is 1, 0.6774, and 0.965, respectively, suggesting that the kinetics of COD removal can be described most properly by the first-order model. A similar model was also reported for nitrate-N with R2 value of 1, 0.7563, and 0.8693 for the first-order, second-order, and Stover Kincannon models, respectively. Based on the findings, the acclimatized mixed culture used in this study could be a potent natural COD and nitrate-N removal in the hatchery wastewater.
format Article
author Norazwina, Zainol
Nor Hazwani, Aziz
Nur Husnina, Mohamed Nor Rahim
author_facet Norazwina, Zainol
Nor Hazwani, Aziz
Nur Husnina, Mohamed Nor Rahim
author_sort Norazwina, Zainol
title Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach
title_short Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach
title_full Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach
title_fullStr Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach
title_full_unstemmed Kinetic modelling for COD and nitrate- N removal from hatchery wastewater through biological approach
title_sort kinetic modelling for cod and nitrate- n removal from hatchery wastewater through biological approach
publisher EnPress Publisher, LLC
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40653/1/Kinetic%20modelling%20for%20COD%20and%20nitrate-N%20removal.pdf
http://umpir.ump.edu.my/id/eprint/40653/
https://doi.org/10.24294/ace.v6i3.2259
https://doi.org/10.24294/ace.v6i3.2259
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