Modelling the non-biogenic steps of arsenic retention in horizontal subsurface flow constructed wetlands

Llorens, Esther; Obradors, Joshua; Alarcón-Herrera, María Teresa

doi:10.1016/j.cej.2013.02.102

Cited by 7 publications

(1 citation statement)

References 28 publications

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“…The early design approach was based on empirical equtions derived only from the relationgship between input and output nutrient levels. Rencent advance models are useful tools for explaning the complexity of hydraulics in substrate coupled with many processes involved in contaminant removal, such as Monod kinetics model [5] and ecosystem model [6]. However, model complexity does not produce proportional insight into the factors affecting contaminant removal due to the difficulty of estimating a large number of parameters inherent in contaminant removal process.…”

Section: Introductionmentioning

confidence: 99%

Modelling Phosphorus Removal in Horizontal Subsurface Flow Constructed Wetlands

Gao¹,

Xie²

2014

JOCET

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Section: Introductionmentioning

confidence: 99%

Modelling Phosphorus Removal in Horizontal Subsurface Flow Constructed Wetlands

Gao¹,

Xie²

2014

JOCET

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Simulation of arsenic retention in constructed wetlands

Valles-Aragón¹,

Alarcón-Herrera²,

Llorens

et al. 2016

Environ Sci Pollut Res

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The software RCB-arsenic was developed previously to simulate the metalloid behavior in a constructed wetland (CW). The model simulates water flow and reactive transport by contemplating the major processes of arsenic (As) retention inside of CW. The objective of this study was to validate the RCB-arsenic model by simulating the behavior of horizontal flow CW for As removal from water. The model validation was made using data from a 122-day experiment. Two CWs prototypes were used: one planted with Eleocharis macrostachya (CW_planted) and another one unplanted (CW_unplanted) as a control. The prototypes were fed with synthetic water prepared using well water and sodium arsenite (NaAsO). In the RCB-arsenic model, a CW prototype was represented using a 2D mesh sized in accordance with the experiment. For simulation of As retention in CW, data addition was established in two stages that considered the mechanisms in the system: (1) aqueous complexation, precipitation/dissolution, and adsorption on granular media and (2) retention by plants: uptake (absorption) and rhizofiltration (adsorption). Simulation of As outlet (μg/L) in stage_1 was compared with CW_unplanted; the experimental mean was 40.79 ± 7.76 and the simulated 39.96 ± 6.32. As concentration (μg/L) in stage_2 was compared with CW_planted, the experimental mean was 9.34 ± 4.80 and the simulated 5.14 ± 0.72. The mass-balance simulation and experiment at 122 days of operation had a similar As retention rate (94 and 91%). The calibrated model RCB-arsenic adequately simulated the As retention in a CW; therefore, it constitutes a powerful tool of design.

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