ORIGINAL RESEARCH
Predictions of Select Control Organic Pollutant Removal in Subsurface Flow Wetlands
Danyu Xu1,2, Yan Shi1,2, Yunxia Duan1, Yuangang Wang1, Yangyang You2, Ang Yang2, Ying Hou2
 
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1Tianjin Academy of Environmental Science, Tianjin 300191, China
2Tianjin United Environmental Engineering Design Company Limited, Tianjin 300191, China
Publish date: 2015-11-27
Submission date: 2014-11-17
Final revision date: 2015-01-19
Acceptance date: 2015-08-27
 
Pol. J. Environ. Stud. 2015;24(6):2699–2705
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ABSTRACT
The migration and transformation model was established to represent organic pollutant flow patterns in a subsurface flow wetland (SSFW). In order to simulate internal flow field and water quality concentration in a wetland system simultaneously, the porous media model coupled with a Monod equation were introduced to describe hydraulic characteristics and biodegradation. The parameters of the model were tested and verified by a series of experiments. The result showed that this model could reasonably simulate organic pollutant removal in SSFW. Theoretically, a backwater zone and rapid channel would appear in SSFW of different substrate filler, which could influence hydraulic efficiency and pollutant removal effects. Seven kinds of typical organic pollutants were selected, and the ranking of their removal efficiency was in the order of aminobenzene, phenol, dimethylbenzene, toluene, benzene, nitrobenzene, and chlorobenzene. The treatment effects of select control organic pollutants could be improved by extending the retention time and increasing adsorption quantity through further filler optimization.
eISSN:2083-5906
ISSN:1230-1485