2020
DOI: 10.1016/j.jhydrol.2019.124286
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On the impact of porous media microstructure on rainfall infiltration of thin homogeneous green roof growth substrates

Abstract: Green roofs are considered an attractive alternative to standard storm water management methods; however one of the primary issues hindering their proliferation is the lack of data regarding their ability to retain and reduce storm water under a variety of climatic conditions. This lack of data is partly due to the complexity of physical processes involved, namely the heterogeneous microscopic behavior that characterize flows in unsaturated porous media.

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Cited by 18 publications
(10 citation statements)
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“…For further details regarding the methodology, the specific algorithm and a series of validation test cases the reader is referred to [25][26][27].…”
Section: Numerical Methodologymentioning
confidence: 99%
“…For further details regarding the methodology, the specific algorithm and a series of validation test cases the reader is referred to [25][26][27].…”
Section: Numerical Methodologymentioning
confidence: 99%
“…In the present study, the dynamic viscosity ratio is set as M = ∕ g = 35 (with and g the viscosities of liquid and gas, respectively), a value that we found as a good compromise between accuracy of the solution ( M = 100 for water-air systems) and numerical stability. The reader is referred to the work presented in Pettersson et al (2020) for the two-phase flow algorithm validation.…”
Section: Lattice Boltzmann Methods For Two-phase Flow Simulationsmentioning
confidence: 99%
“…The reader is referred to the work presented in Pettersson et al (2020) for the two-phase flow algorithm validation. The fluid-wall interaction at the three-phase contact line (liquid-gas-solid), in terms of chemical properties of the surface (wetting), can be tuned by means of an averaging of the pseudopotential values in the neighboring nodes N : Finally, the macroscopic fluid density and momentum are determined through the statistical averaging of the molecular probability distribution functions as (Succi, 2001):…”
Section: Lattice Boltzmann Methods For Two-phase Flow Simulationsmentioning
confidence: 99%