Modeling bioinfiltration surface dynamics through a hybrid geomorphic-infiltration model

Author:

Ampomah Richard1,Holt Danielle1,Smith Cole1,Smith Virginia1ORCID,Sample-Lord Kristin1,Nyquist Jonathan2

Affiliation:

1. a Department of Civil and Environmental Engineering, Villanova University, Villanova, PA, USA

2. b Geophysics, Earth & Environmental Science, Temple University, 1901 N. 13th St., Philadelphia, PA 19122, USA

Abstract

Abstract Bioinfiltration systems are an increasingly prevalent mechanism for urban stormwater mitigation. One major challenge for the sustainability of bioinfiltration systems is erosion and channelization due to high bed shear stresses developed during large storm events. Sedimentation within these systems could also impact their performance as fine sediment may clog pathways necessary for infiltration. Understanding the geomorphology, shear stress, and sediment flux in the system can help predict maintenance needs associated with erosion and deposition. The current study introduces a framework for addressing this problem by combining a sediment transport model, FaSTMECH, with the Green-Ampt infiltration model. A comparison of observed and predicted ponding depths shows very good agreement (median Nash–Sutcliffe efficiency coefficient = 0.93) and demonstrates the ability of this novel framework in predicting the hydraulics and morphology within a bioswale bioinfiltration system. The framework introduced in this study opens the door to understanding sediment transport dynamics within a bioswale, which has the potential to advance planning and design to minimize impacts due to excessive erosion or deposition within bioswale bioinfiltration systems.

Funder

Pennsylvania Department of Transportation

Publisher

IWA Publishing

Subject

Water Science and Technology,Management, Monitoring, Policy and Law,Environmental Science (miscellaneous)

Reference54 articles.

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2. Performance assessment of rain gardens;Journal of the American Water Resources Association,2009

3. Brownlie W. R. 1981 Prediction of Flow Depth and Sediment Discharge in Open Channels. Report No. KH-R-43A. Pasadena, CA.

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