Technical Papers
Dec 20, 2021

Continuous Simulation of an Infiltration–Exfiltration System Loaded by Stormwater

Publication: Journal of Environmental Engineering
Volume 148, Issue 3

Abstract

Roadway infrastructure is spatially extensive, linear, and by design restricts infiltration. Traffic impacts the coupled hydrology, chemistry, and loads transported by increased runoff and hydraulic stresses. Green infrastructure or low-impact development (LID) such as a partial exfiltration reactor (PER) can mitigate impacts by infiltrating and sequestering runoff and loads. This study modeled surface–subsurface hydrologic quantities for an infiltrating–exfiltrating linear PER as integrated infrastructure at a highway monitoring station with a database and calibrated modeling. The PER combined cementitious permeable pavement (CPP) as an infiltrating-filtration surface over an oxide-coated media (OCM) bed as a green infrastructure retrofit to conventional roadway underdrainage. Calibrated surface [Storm Water Management Model (SWMM)] and subsurface [Variably Saturated 2D Transport Interface (VS2DTI)] model components for the catchment and PER were implemented based on published studies. In contrast to previous design and historical storms, 1 year of hydrologic and dissolved Zn loads was simulated. The PER infiltrated 95% of catchment runoff, exfiltrated 27.1% to clayey glacial till soil, evaporated (potential) 3.9%, and discharged 63.9% to the underdrain. The CPP separated 80% of particulate matter (PM). With a simulated macropore in the oxide-coated sand media (OCS) bed, Zn was reduced by 99%, compared with 98% from event-based published data. Traffic turbulence increased evaporation from the catchment by 28.9%. A calibrated continuous simulation model is a viable tool to examine longer-term behavior of green infrastructure and LID systems for implementation, functionality, and sustainability in roadway and paved urban land uses.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available in a repository or online in accordance with funder data retention policies. The models and codes (SWMM and VS2DTI) are nonproprietary and are available from their federal agency developers: the United States Environmental Protection Agency (https://www.epa.gov/water-research/storm-water-management-model-swmm) and the United States Geological Survey (https://www.usgs.gov/software/vs2di-version-13).

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Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 148Issue 3March 2022

History

Received: May 1, 2021
Accepted: Oct 7, 2021
Published online: Dec 20, 2021
Published in print: Mar 1, 2022
Discussion open until: May 20, 2022

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Authors

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Saurabh Raje
Doctoral Researcher, Engineering School of Sustainable Infrastructure & Environment, Univ. of Florida, 216 Black Hall, Gainesville, FL 32611.
Professor, Engineering School of Sustainable Infrastructure & Environment, Univ. of Florida, 216 Black Hall, Gainesville, FL 32611 (corresponding author). ORCID: https://orcid.org/0000-0003-4061-8828. Email: [email protected]

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