Continuous Modeling of Bioinfiltration Storm-Water Control Measures Using Green and Ampt

Lee, Ryan S.; Traver, Robert G.; Welker, Andrea L.

doi:10.1061/(asce)ir.1943-4774.0000651

Cited by 16 publications

(6 citation statements)

References 16 publications

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“…2. Although it is possible to make some approximations to account for the 3D shape of the basin (e.g., Lee et al 2013), in this research the basin shape effect was neglected to make generalizations about bioinfiltration system performance across a range of designs; therefore the 1D basin shape is a model approximation.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Soil Class Proxies for Hydrologic Performance of In Situ Bioinfiltration Systems

Lee

Traver

Welker

2016

J. Sustainable Water Built Environ.

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The hydrologic performance of in situ bioinfiltration systems (bioretention systems with no fill media or underdrain) is quantified and soil classes are evaluated as proxies for design requirements. A one-dimensional (1D) Richard's equation model of a bioinfiltration system is used in combination with a dataset of soil hydraulic properties to conduct a Monte Carlo analysis of the effect of soil hydraulic properties; the results are summarized both by soil textural class and by hydrologic soil group (HSG), showing that textural class is generally a poor proxy for estimating the infiltration performance of in situ bioinfiltration cells (R 2 ¼ 0.40). Because infiltration measurements are required to estimate the HSG, they are a better proxy for bioinfiltration performance (R 2 ¼ 0.89). It is found that soil proxies do provide certain reliable guidelines: HSG-D soils always require engineered fill media with an underdrain; whereas underdrains are not necessary for sand, loamy sand, HSG-A, and HSG-B native soils. Minimum bounds on the design capture volume are generated for these soils which may be substantially larger than the surface storage volume.

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Section: Methodsmentioning

confidence: 99%

Evaluation of Soil Class Proxies for Hydrologic Performance of In Situ Bioinfiltration Systems

Lee

Traver

Welker

2016

J. Sustainable Water Built Environ.

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“…the methodology and the SWMM LID module) and HYDRUS, which assumes a constant surface area vs. depth. However, the basin is constructed like a "bowl" so storage volume is small when the depth is low [40]. Also, the models did not consider the volume of vegetation.…”

Section: Field Comparison With Hydrus and Swmm Lid Modulementioning

confidence: 99%

Methodology to simulate unsaturated zone hydrology in Storm Water Management Model (SWMM) for green infrastructure design and evaluation

Wadzuk

Traver

2020

PLoS ONE

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Hydrologic models such as the USEPA Stormwater Management Model (SWMM) are commonly used to assess the design and performance of green infrastructure (GI). To accurately represent GI performance models used in design need to be able to address both the hydrology/hydraulics of the catchment and the GI unsaturated (vadose) zone hydrology. While hydrologic models, such as SWMM, address the need for catchment hydrology/ hydraulics, they often simplify the unsaturated zone hydrology. This paper presents a methodology utilizing existing components of SWMM to represent unsaturated zone hydrology in an accessible format that does not require adjustments to the SWMM source code. The methodology simulated the unsaturated soil water movement by considering flow caused by differences of soil matric head and flow caused by gravity between soil layers with finite depth/length. The flow flux related to the soil matric head is a function of soil water diffusivity (D) and the soil moisture gradient, where D can be represented by a pump curve in SWMM. The flow flux related to gravity was controlled by unsaturated hydraulic conductivity (K) only and was also simulated by a pump. The methodology was compared to another variably saturated model, HYDRUS, with theoretical soils (with single layers of sand, loam, silt, and clay, as well as dual-layer scenarios). Field data was used to compare the methodology to HYDRUS and the SWMM LID (Low Impact Development) module. In all comparisons the presented methodology and HYDRUS delivered similar results for the vadose zone response to a storm event, while the LID module of SWMM exhibited slower water movement. The results showed that under natural conditions, the approximation of the presented methodology yielded satisfactory results to simulate flow through the unsaturated vadose zone.

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“…Infiltration rates are a function of several factors, including soil characteristics (e.g., texture, structure, hydraulic conductivity, soil water content, and pore‐size distribution), water properties (e.g., viscosity and surface tension), rainfall‐arrival characteristics (e.g., rainfall intensity), and other soil‐surface factors (e.g., surface slope, surface roughness, and vegetative cover) (Tindall & Kunkel, ). Braga, Horst, and Traver () and Lee et al (Lee, Traver, & Welker, ; Lee, Traver, & Welker, ; Lee, Welker, & Traver, ) reported that hydraulic conductivity plays a critical role in influencing infiltration rates for an infiltration GSI. The field saturated hydraulic conductivity (Ksat) is a critical parameter for the design and post‐construction performance of GSI systems.…”

Section: Introductionmentioning

confidence: 99%

Temporal and spatial variation of infiltration in urban green infrastructure

Ebrahimian

Sample-Lord

Wadzuk

et al. 2019

Hydrological Processes

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Infiltration is the primary mechanism in green stormwater infrastructure (GSI) systems to reduce the runoff volume from urbanized areas. Soil hydraulic conductivity is most important in influencing GSI infiltration rates. Saturated hydraulic conductivity (Ksat) is a critical parameter for GSI design and post-construction performance. However, Ksat measurement in the field is problematic due to temporal and spatial variability and measurement errors. This review paper focuses on a comparison of methods for in-situ Ksat measurement and the causes of temporal and spatial variations of Ksat within GSI systems. Automated infiltration testing methods, such as the Modified Philip-Dunne (MPD) and SATURO infiltrometers, show promise for efficient Ksat measurements. Soil Ksat values can change over time and substantially vary throughout a GSI, which can be attributed to multiple factors, including but not limited to temperature changes, soil composition and properties, soil compaction level, plant root morphology and distribution, biological and macrofauna activities in the soil, inflow sediment characteristics, quality of infiltrating water, and measurement errors. There is evidence that infiltration rates in vegetated urban GSI systems are sustained given an appropriate GSI design, reasonable concentration of suspended sediments in the inflow runoff, and routine maintenance procedures.These observations indicate that clogging can be counteracted by processes that tend to increase the soil hydraulic conductivity (e.g., plant root and biological activities). This self-sustainability underlines that infiltration-based GSI systems are a reliable long-term stormwater management solution. Recommendations on how to incorporate the temporal changes of Ksat in GSI design and on obtaining a spatiallyrepresentative Ksat for the GSI design are presented. K E Y W O R D Sgreen infrastructure, hydraulic conductivity, infiltration, infiltrometer, saturated hydraulic conductivity, soil, stormwater, urban areas

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Continuous Modeling of Bioinfiltration Storm-Water Control Measures Using Green and Ampt

Cited by 16 publications

References 16 publications

Evaluation of Soil Class Proxies for Hydrologic Performance of In Situ Bioinfiltration Systems

Evaluation of Soil Class Proxies for Hydrologic Performance of In Situ Bioinfiltration Systems

Methodology to simulate unsaturated zone hydrology in Storm Water Management Model (SWMM) for green infrastructure design and evaluation

Temporal and spatial variation of infiltration in urban green infrastructure

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