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  1. Home
  3. A Novel Process-based Model Of Horizontal Subsurface Flow Constructed Wetlands For Simulation Of Emerging Organic Contaminants: Conceptualization And Calibration Of Bio_pore_eoc.
  1. Home
  3. A Novel Process-based Model Of Horizontal Subsurface Flow Constructed Wetlands For Simulation Of Emerging Organic Contaminants: Conceptualization And Calibration Of Bio_pore_eoc.

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A novel process-based model of horizontal subsurface flow constructed wetlands for simulation of emerging organic

Huma Ilyas1, Diederik P L Rousseau1

  • 1Department of Green Chemistry and Technology, Faculty of Bioscience Engineering, Ghent University Campus Kortrijk, Sint-Martens-Latemlaan 2B, 8500 Kortrijk, Belgium.

The Science of the Total Environment
|April 5, 2025

View abstract on PubMed

Summary
This summary is machine-generated.
Keywords:
BIO_PORE_EOCConventional water quality parametersEmerging organic contaminantsHorizontal subsurface flow constructed wetlandsProcess-based modelSimulation

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A new model, BIO_PORE_EOC, simulates emerging organic contaminants (EOCs) in constructed wetlands. It accurately predicts pharmaceutical removal via sorption and biodegradation, advancing water treatment modeling.

Area of Science:

  • Environmental Engineering
  • Water Quality Modeling
  • Biogeochemistry

Background:

  • Emerging organic contaminants (EOCs) pose risks to aquatic ecosystems and human health.
  • Constructed wetlands (CWs) show potential for EOC removal, but their mechanisms require better modeling.
  • Horizontal subsurface flow constructed wetlands (HFCWs) are a common CW design.

Purpose of the Study:

  • To develop and validate a novel process-based model, BIO_PORE_EOC, for simulating EOC removal in HFCWs.
  • To integrate key EOC removal processes into an existing CW model.
  • To assess the model's performance using real-world pharmaceutical data.

Main Methods:

  • Extended the BIO_PORE model by incorporating equations for EOCs, including biodegradation, plant uptake, sorption/desorption, and biofilm processes.
  • Calibrated the BIO_PORE_EOC model using experimental data from a pilot HFCW treating three pharmaceuticals: clofibric acid (CLF), ibuprofen (IBU), and carbamazepine (CBZ).
  • Evaluated model performance using statistical metrics like Root Mean Square Error (RMSE), Relative RMSE (RRMSE), and Theil's inequality coefficient (U).

    • Main Results:

    • BIO_PORE_EOC accurately simulated the removal of CLF and CBZ, primarily attributed to sorption onto organic matter and biomass.
    • The model effectively captured IBU removal, driven by co-metabolic biodegradation and sorption processes.
    • High agreement between simulated and experimental data validated the model's predictive capabilities for pharmaceutical removal in HFCWs.

    Conclusions:

    • The developed BIO_PORE_EOC model successfully simulates emerging organic contaminant removal in horizontal subsurface flow constructed wetlands.
    • The model highlights the significant roles of sorption and biodegradation in pharmaceutical removal within these systems.
    • This advancement in CW modeling provides a valuable tool for optimizing HFCW design and management for EOC remediation.