Numerical Simulation and Validation of Constructed Wetlands for Effluent Treatment in Eastern China: An Evaluation of MIKE21 in Enhancing Water Purification Efficiency

Constructed wetlands for effluent treatment (CW-ET) play a vital role in the degradation of pollutants, the purification of water, and the improvement of freshwater ecosystems. However, conventional designs often lack a methodical approach for quantifying the efficacy of these wetlands. In this context, numerical simulations aid in optimizing vegetation selection and placement in these systems, thereby enhancing their overall efficiency. In this study, the MIKE21 hydrodynamic (HD) module was coupled with the advection–dispersion (AD) module to simulate the Yingtai CW-ET in Hai’an. Accordingly, key parameters involved in effective water purification were calibrated and the system’s performance in treating effluent from wastewater treatment facilities was evaluated. The findings demonstrated significant removal efficiencies for chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), and ammonia (NH3-N), with average rates of 51.14%, 43.14%, 63.82%, and 54.38%, respectively. In addition, the simulations exhibited high accuracy, with hydrodynamic predictions deviating by under 5% and water quality approximations by under 15%. The treated water quality met the requirements for Class IV surface water standards. Utilizing numerical simulations offers valuable insights for the design and performance evaluation of future constructed wetlands.

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Publication Details

Journal
Water
Published
2024-11-06
DOI
https://doi.org/10.3390/w16223182
Primary Topic
Constructed Wetlands for Wastewater Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical Simulation and Validation of Constructed Wetlands for Effluent Treatment in Eastern China: An Evaluation of MIKE21 in Enhancing Water Purification Efficiency

Q. Zhang, Shanrui Yang, Jiafan Chen, Junxiang Zhang et al.
Water
Constructed Wetlands for Wastewater Treatment
article

Numerical Simulation and Validation of Constructed Wetlands for Effluent Treatment in Eastern China: An Evaluation of MIKE21 in Enhancing Water Purification Efficiency

Q. Zhang, Shanrui Yang, Jiafan Chen, Junxiang Zhang, Xing Xiong, Xinyu Zhang
article en

Abstract

Constructed wetlands for effluent treatment (CW-ET) play a vital role in the degradation of pollutants, the purification of water, and the improvement of freshwater ecosystems. However, conventional designs often lack a methodical approach for quantifying the efficacy of these wetlands. In this context, numerical simulations aid in optimizing vegetation selection and placement in these systems, thereby enhancing their overall efficiency. In this study, the MIKE21 hydrodynamic (HD) module was coupled with the advection–dispersion (AD) module to simulate the Yingtai CW-ET in Hai’an. Accordingly, key parameters involved in effective water purification were calibrated and the system’s performance in treating effluent from wastewater treatment facilities was evaluated. The findings demonstrated significant removal efficiencies for chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), and ammonia (NH3-N), with average rates of 51.14%, 43.14%, 63.82%, and 54.38%, respectively. In addition, the simulations exhibited high accuracy, with hydrodynamic predictions deviating by under 5% and water quality approximations by under 15%. The treated water quality met the requirements for Class IV surface water standards. Utilizing numerical simulations offers valuable insights for the design and performance evaluation of future constructed wetlands.

WaterVol. 16(22)
Nanjing Agricultural University (CN)
Ministry of Education of the People's Republic of China, Government of Jiangsu Province
Clean water and sanitation
Openalex Percentile: Top 76%
Constructed Wetlands for Wastewater Treatment
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Numerical Simulation and Validation of Constructed Wetlands for Effluent Treatment in Eastern China: An Evaluation of MIKE21 in Enhancing Water Purification Efficiency — Q. Zhang, Shanrui Yang, et al. · Water (2024) | TGRS Research Map | TGRS