Technical Papers
Jun 24, 2014

Unsaturated Flow Functions for Filter Media Used in Low-Impact Development—Stormwater Management Systems

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Publication: Journal of Irrigation and Drainage Engineering
Volume 141, Issue 1

Abstract

Moisture retention relationships for coarse, high-infiltration soils are difficult to empirically determine and estimate. Present day software models for stormwater management (SWM) that are used as sizing and performance prediction tools for filtration Low Impact Development-Stormwater Management (LID-SWM) systems typically assume that these systems function under saturated flow conditions. This directly impacts prediction of system drainage and hydrographs, as well as the estimates of physically-based water quality improvement. Yet real-time monitoring of these systems demonstrated that saturation of the filter media is rarely achieved. This article presents a framework for obtaining the moisture retention curves (MRC) and relative hydraulic conductivity Kr(θ) function for engineered filter media and other hydraulic control soils used in four LID-SWM systems: pervious pavement, sand filter, subsurface gravel wetland, and bioretention. These functions needed in routing water through the filter media with unsaturated flow functions are developed from easily measurable soil properties like porosity and particle size distribution, and can be integrated in current available stormwater design software. The framework consists of a sequence of physically based equations: Arya-Paris for the θ(ψ) function, Bower for gravel content adjustments along with an extension of the θ(ψ) function proposed in this article, and Mualem for the Kr(θ) function. This sequence is combined with the Van-Genuchten fitting equation for soils with irregular particle size distributions.

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Acknowledgments

This project was performed in partnership with the University of New Hampshire Stormwater Center (UNHSC). Funding was provided by the Cooperative Institute for Coastal and Estuarine Environmental Technology (CICEET), National Oceanic and Atmospheric Administration (NOAA), and the Great Bay National Estuary Research Reserve (GBNERR).

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 141Issue 1January 2015

History

Received: Sep 12, 2013
Accepted: Apr 17, 2014
Published online: Jun 24, 2014
Discussion open until: Nov 24, 2014
Published in print: Jan 1, 2015

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Authors

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Iulia A. Barbu [email protected]
Green Stormwater Infrastructure Specialist, Architecture, Engineering, Consulting, Operations, and Maintenance (AECOM), 701 Edgewater Dr., Wakefield, MA 01880 (corresponding author). E-mail: [email protected]
Thomas P. Ballestero, M.ASCE [email protected]
Director, Univ. of New Hampshire Stormwater Center, 35 Colovos Rd., Durham, NH 03824. E-mail: [email protected]

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