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Hybrid support vector regression and crow search algorithm for modeling and multiobjective optimization of
S M Zakir Hossain1, Nahid Sultana2, M Ezzudin Mohammed1
1Department of Chemical Engineering, University of Bahrain, Zallaq, Kingdom of Bahrain.
Journal of Environmental Management
|September 30, 2021
Summary
Microalgae efficiently remove nitrogen and phosphorus from wastewater. Optimized conditions using a hybrid model achieved over 99% nitrogen and 93% phosphorus removal, demonstrating a sustainable wastewater treatment solution.
Area of Science:
- Environmental Science
- Biotechnology
- Wastewater Treatment
Background:
- Microalgae offer an eco-friendly and energy-efficient alternative to conventional wastewater treatment methods.
- Tertiary municipal wastewater contains significant levels of nitrogen (N) and phosphorus (P).
Purpose of the Study:
- To optimize treatment variables for enhanced N and P removal from wastewater using Chlorella kessleri.
- To develop and validate a novel hybrid modeling tool for microalgae-based wastewater treatment.
Main Methods:
- Utilized response surface methodology (RSM) with Box-Behnken Design for experimental data generation.
- Applied a hybrid support vector regression (SVR) technique integrated with the crow search algorithm for modeling and optimization.
- Evaluated model performance using statistical indicators like mean absolute percentage error and Taylor diagram.
Main Results:
- The hybrid SVR model demonstrated superior performance compared to RSM and generalized linear model (GLM).
- Optimal conditions for maximum N and P removal were determined as 29.3°C, a 24/0 h/h light-dark cycle, and an N/P ratio of 6:1.
- Achieved high removal efficiencies: 99.97% for nitrogen and 93.48% for phosphorus.
Conclusions:
- The hybrid SVR-crow search algorithm is an effective tool for optimizing microalgae-based wastewater treatment.
- The identified optimal conditions significantly enhance nutrient removal from municipal wastewater.
- This approach supports sustainable wastewater management and resource recovery.
Keywords:
Crow search algorithm (CSA)MicroalgaeModeling and optimizationSupport vector regression (SVR)Wastewater treatmentMore Related Videos
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