Nitrate and ammonium removal in constructed wetlands: Experimental insights and zero-dimensional numerical modeling

被引:2
作者
Omidinia-Anarkoli, Tayebeh [1 ]
Shayannejad, Mohammad [1 ]
机构
[1] Isfahan Univ Technol, Coll Agr, Dept Water Sci & Engn, Esfahan 8415683111, Iran
关键词
Constructed wetlands; Natural pumice; Nitrate removal; Ammonium removal; Numerical modeling; MATLAB software; NITROGEN REMOVAL; AQUEOUS-SOLUTION;
D O I
10.1016/j.scitotenv.2024.174761
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Constructed wetlands (CWs) have emerged as effective wastewater treatment systems, mimicked natural wetland processes but engineered for enhanced pollutant removal efficiency. Ammonium (NH4+) and nitrate (NO3-) are among common pollutants in wastewater, posing significant environmental and health risks. The primary objective of this study is to compares the performance of CWs using gravel and three sizes of natural pumice, along with phragmites australis, in horizontal and horizontal-vertical CWs for nitrate and ammonium removal in the complementary treatment of domestic wastewater. Additionally, the study aims to develop and validate a numerical model using MATLAB software to predict the removal efficiency of these pollutants, thereby contributing to the optimization of CW design and operation. The model operates as a zero-dimensional model based on the law of mass conservation, treating the wetland as a completely mixed reactor, thus avoiding complexities associated with solute movement in porous media. It accurately could predict removal efficiency of chemical, biochemical, and biological indicators while considering active and passive absorption mechanisms by plant uptake. Notably, the determination of coefficients in the model equation does not rely on potentially errorprone laboratory measurements due to sampling issues. Instead, optimization techniques alongside field data robustly estimate these coefficients, ensuring reliability and practicality. Results indicate that higher pollutant concentrations increase reaction rates, particularly enhancing CW efficiency in ammonium removal. Pumice, especially in larger sizes, exhibits superior absorption due to increased porosity and surface area. Overall, the model accurately predicts nitrates concentrations, demonstrating its potential for CW performance optimization and confirming the significance of effective pollutant removal strategies in wastewater treatment.
引用
收藏
页数:16
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