Biodegradability Assessment of Aquaculture Effluents: A Comprehensive Analysis of BOD and COD Using Multivariate Statistical Techniques

The study was conducted during January, 2023 to December, 2024 at Tirunelveli, Tuticorin and Kanyakumari district of Tamil Nadu, India to investigate the biodegradability of effluents collected from semi-intensive aquaculture systems operating in Tamil Nadu based on biodegradability index calculated from Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD). BOD indicated the oxygen needed to biologically degrade organic matter; COD measured both biodegradable and nonbiodegradable organic matter. The BOD/COD ratio (Biodegradability index) averaged 0.46, showing that the wastewater exhibited moderate biodegradability, implying that biological treatment was feasible but microbial seeding might enhance efficiency. Seasonal peaks in May correlated with increased feed input and organic waste accumulation; lower values in October and November reflected reduced production. Regression analysis identified a quadratic polynomial as the best predictor of BOD from COD, underscoring the value of mathematical models for monitoring wastewater quality. This study demonstrated that integrating BOD and COD data with statistical tools could improve effluent management. Expanding sustainable aquaculture would require implementing treatment technologies suited to effluents with moderate biodegradability. The findings provided baseline information for designing effluent treatment plants, optimizing microbial consortia and informing policy on discharge standards.

Authors

Institutions

Publication Details

Journal
International Journal of Bio-resource and Stress Management
Published
2026-02-18
DOI
https://doi.org/10.23910/1.2026.6871
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biodegradability Assessment of Aquaculture Effluents: A Comprehensive Analysis of BOD and COD Using Multivariate Statistical Techniques

Saiprasad Bhusare, Jebarson Solomon, Tejaswini Karale, Tapas Paul et al.
International Journal of Bio-resource and Stress Management
Water Quality Monitoring and Analysis
article

Biodegradability Assessment of Aquaculture Effluents: A Comprehensive Analysis of BOD and COD Using Multivariate Statistical Techniques

Saiprasad Bhusare, Jebarson Solomon, Tejaswini Karale, Tapas Paul, Thangaraj Priyadharshini, Ganesh Kumar, Renuka, B. D. Savaliya, Saurav Kumar
article en

Abstract

The study was conducted during January, 2023 to December, 2024 at Tirunelveli, Tuticorin and Kanyakumari district of Tamil Nadu, India to investigate the biodegradability of effluents collected from semi-intensive aquaculture systems operating in Tamil Nadu based on biodegradability index calculated from Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD). BOD indicated the oxygen needed to biologically degrade organic matter; COD measured both biodegradable and nonbiodegradable organic matter. The BOD/COD ratio (Biodegradability index) averaged 0.46, showing that the wastewater exhibited moderate biodegradability, implying that biological treatment was feasible but microbial seeding might enhance efficiency. Seasonal peaks in May correlated with increased feed input and organic waste accumulation; lower values in October and November reflected reduced production. Regression analysis identified a quadratic polynomial as the best predictor of BOD from COD, underscoring the value of mathematical models for monitoring wastewater quality. This study demonstrated that integrating BOD and COD data with statistical tools could improve effluent management. Expanding sustainable aquaculture would require implementing treatment technologies suited to effluents with moderate biodegradability. The findings provided baseline information for designing effluent treatment plants, optimizing microbial consortia and informing policy on discharge standards.

International Journal of Bio-resource and Stress ManagementVol. 17(Feb, 2)
Karnataka Veterinary Animal and Fisheries Sciences University (IN), Tamil Nadu Dr. J Jayalalitha Fisheries University (IN), Central Institute of Fisheries Education (IN), Central Agricultural University (IN), Central University of Gujarat (IN)
Openalex Percentile: Top 45%
Water Quality Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.