Title

System Dynamics Modeling Of Nitrogen Removal In A Stormwater Infiltration Basin With Biosorption-Activated Media

Abstract

Stormwater infiltration basins, one of the typical stormwater best management practices, are commonly constructed for surface water pollution control, flood mitigation, and groundwater restoration in rural or residential areas. These basins have soils with better infiltration capacity than the native soil; however, the ever-increasing contribution of nutrients to groundwater from stormwater due to urban expansion makes existing infiltration basins unable to meet groundwater quality criteria related to environmental sustainability and public health. This issue requires retrofitting current infiltration basins for flood control as well as nutrient control before the stormwater enters the groundwater. An existing stormwater infiltration basin in north-central Florida was selected, retrofitted, and monitored to identify subsurface physiochemical and biological processes during 2007-2010 to investigate nutrient control processes. This implementation in the nexus of contaminant hydrology and ecological engineering adopted amended soil layers packed with biosorption activated media (BAM; tire crumb, silt, clay, and sand) to perform nutrient removal in a partitioned forebay using a berm. This study presents an infiltration basin-nitrogen removal (IBNR) model, a system dynamics model that simulates nitrogen cycling in this BAM-based stormwater infiltration basin with respect to changing hydrologic conditions and varying dissolved nitrogen concentrations. Modeling outputs of IBNR indicate that denitrification is the biogeochemical indicator in the BAM layer that accounted for a loss of about one third of the total dissolved nitrogen mass input ©American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.

Publication Date

8-20-2013

Publication Title

Journal of Environmental Quality

Volume

42

Issue

4

Number of Pages

1086-1099

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.2134/jeq2012.0504

Socpus ID

84881483779 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84881483779

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