Journal article
Particle Swarm Optimization for Inverse Modeling of Soils in Urban Green Stormwater Infrastructure Sites
Journal of sustainable water in the built environment, v 10(2), 04024001
01 May 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The measurement of soil parameters at green stormwater infrastructure (GSI) sites is a labor and time-intensive process. Use of machine learning and inverse modeling techniques to estimate soil parameters provides an answer to this issue. In this paper a particle swarm optimization (PSO) algorithm is used in conjunction with inverse modeling using Hydrus-1D to estimate soil parameters. The novelty of this work is the implementation of PSO to identify soil infiltration models in a functioning urban field site using data from deployed sensors. The linear bioinfiltration site, located in Philadelphia, Pennsylvania, has two layers of soil: a top layer designed for the site and a lower layer native to the site. The PSO was used to estimate parameters for each of these two soils, as well as the depth of the top engineered soil. The resulting simulation using the estimated parameters showed a promising fit to measured soil moisture data, an RMS error of 0.017 in validation testing, and the parameters themselves were estimated more accurately than assuming a standard soil type. This lays the groundwork for using PSO and inverse modeling in conjunction with continuous soil moisture monitoring to enable long-term continuous modeling of GSI sites to determine performance degradation and enable on-demand maintenance.
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Details
- Title
- Particle Swarm Optimization for Inverse Modeling of Soils in Urban Green Stormwater Infrastructure Sites
- Creators
- Kellen Pastore - Villanova UniversityMatina Shakya - Drexel University, Civil, Architectural, and Environmental EngineeringAmanda Hess - Villanova UniversityKristin Sample-Lord - Villanova UniversityGarrett Clayton - Villanova University
- Publication Details
- Journal of sustainable water in the built environment, v 10(2), 04024001
- Publisher
- ASCE - Amer Soc Civil Engineers
- Number of pages
- 9
- Grant note
- Villanova Center for Nonlinear Dynamics and Control and the Villanova Center for Resilient Water Systems Pennsylvania Department of Transportation (PennDOT)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:001185327200002
- Scopus ID
- 2-s2.0-85187960705
- Other Identifier
- 991022005882904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Water Resources