Literature DB >> 31402797

Drywell infiltration and hydraulic properties in heterogeneous soil profiles.

Salini Sasidharan1,2, Scott A Bradford2, Jiří Šimůnek1, Stephen R Kraemer3.   

Abstract

Drywells are increasingly used to capture stormwater runoff for surface infiltration and aquifer recharge, but little research has examined the role of ubiquitous subsurface heterogeneity in hydraulic properties on drywell performance. Numerical experiments were therefore conducted using the HYDRUS (2D/3D) software to systematically study the influence of subsurface heterogeneity on drywell infiltration. Subsurface heterogeneity was described deterministically by defining soil layers or lenses, or by generating stochastic realizations of soil hydraulic properties with selected variance (σ) and horizontal (X) and vertical (Z) correlation lengths. The infiltration rate increased when a high permeability layer/lens was located at the bottom of the drywell, and had larger vertical and especially horizontal dimensions. Furthermore, the average cumulative infiltration (I) for 100 stochastic realizations of a given subsurface heterogeneity increased with σ and X, but decreased with Z. This indicates that the presence of many highly permeable, laterally extending lenses provides a larger surface area for enhanced infiltration than the presence of isolated, highly permeable lenses. The ability to inversely determine soil hydraulic properties from numerical drywell infiltration results was also investigated. The hydraulic properties and the lateral extension of a highly permeable lens could be accurately determined for certain idealized situations (e.g., simple layered profiles) using constant head tests. However, variability in soil hydraulic properties could not be accurately determined for systems that exhibited more realistic stochastic heterogeneity. In this case, the heterogeneous profile could be replaced with an equivalent homogeneous profile and values of an effective isotropic saturated conductivity (Ks) and the shape parameter in the soil water retention function (α) could be inversely determined. The average value of Ks for 100 stochastic realizations showed a similar dependency to I on σ, X, and Z. Whereas, the average value of α had large confidence interval for soil heterogeneity parameters and played a secondary role in drywell infiltration. This research provides valuable insight on the selection of site, design, installation, and long-term performance of a drywell.

Entities:  

Keywords:  Drywell; Effective hydraulic properties; HYDRUS (2D/3D); Infiltration; Inverse optimization; Stochastic simulation

Year:  2019        PMID: 31402797      PMCID: PMC6688636          DOI: 10.1016/j.jhydrol.2018.12.073

Source DB:  PubMed          Journal:  J Hydrol (Amst)        ISSN: 0022-1694            Impact factor:   5.722


  2 in total

1.  Evaluating drywells for stormwater management and enhanced aquifer recharge.

Authors:  Salini Sasidharan; Scott A Bradford; Jiří Šimůnek; Bill De Jong; Stephen R Kraemer
Journal:  Adv Water Resour       Date:  2018-06       Impact factor: 4.510

2.  The world's road to water scarcity: shortage and stress in the 20th century and pathways towards sustainability.

Authors:  M Kummu; J H A Guillaume; H de Moel; S Eisner; M Flörke; M Porkka; S Siebert; T I E Veldkamp; P J Ward
Journal:  Sci Rep       Date:  2016-12-09       Impact factor: 4.379

  2 in total
  3 in total

1.  Groundwater Recharge from Drywells Under Constant Head Conditions.

Authors:  Salini Sasidharan; Scott A Bradford; Jiří Šimůnek; Stephen R Kraemer
Journal:  J Hydrol (Amst)       Date:  2020-04-20       Impact factor: 5.722

2.  Comparison of recharge from drywells and infiltration basins: A modeling study.

Authors:  Salini Sasidharan; Scott A Bradford; Jiří Šimůnek; Stephen R Kraemer
Journal:  J Hydrol (Amst)       Date:  2021-03-01       Impact factor: 5.722

3.  Virus transport from drywells under constant head conditions: A modeling study.

Authors:  Salini Sasidharan; Scott A Bradford; Jiří Šimůnek; Stephen R Kraemer
Journal:  Water Res       Date:  2021-03-12       Impact factor: 13.400

  3 in total

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