An infiltration model based on flow variability in macropores: development, sensitivity analysis and applications

Weiler, Markus

doi:10.1016/j.jhydrol.2005.01.010

Cited by 92 publications

(112 citation statements)

References 54 publications

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“…This might give an additional, field-scale explanation for the frequently observed phenomenon of the small transfer rate coefficient calibrated in DPM to simulate non-equilibrium PF and transport (see discussion in Jarvis, 2007). IN 3 M predicted water balance, water content variation, and dye coverage with depth as observed in irrigation and dye tracer experiments at three field sites reasonably well (Weiler, 2005).…”

Section: Field Scalementioning

confidence: 67%

“…TRANSMIT (Hutson and Wagenet, 1995) is another similar three-region 1D model. HYDRUS-1D (Šimůnek et al, 1998, 2005, 2008aŠimůnek and van Genuchten, 2008) describes water, heat, and solute movement in the vadose zone. The latest version includes a variety of SPM, MIM, and DPM approaches; the more frequently used MIM and DPM are again based on DUAL (Gerke and van Genuchten, 1993).…”

Section: Capillary Pf Modelsmentioning

confidence: 99%

“…SLIM has two main parameters: the amount of immobile water and the permeability (Addiscott et al, 1986;Addiscott and Whitmore, 1991). The 1D-DPM IN 3 M (Weiler, 2005) calculates infiltration into the matrix and horizontal water transfer using Green-Ampt equations, and assumes the Darcian flow for redistribution. Infiltration exceeding the soil matrix capacity triggers surface initiation of PF.…”

Section: Capacity Approachesmentioning

confidence: 99%

“…Additionally, subsurface PF initiation may occur at layers boundaries. Macropore flow is routed downwards by layer-wise mass balance (Weiler, 2005). Based on concepts of Bouma (1990), Kohler et al (2003) developed two simple capacity DPM of water flow: the surface trigger model assumes that gravitational PF is generated at the soil surface, while the subsoil trigger model assumes that PF is created at the topsoil-subsoil boundary when the water storage capacity of the topsoil is exceeded.…”

Section: Capacity Approachesmentioning

confidence: 99%

“…In a more recent example, the effect of rain intensity on the fraction of different macropores involved in PF was evaluated in a stochastic application of the DPM IN 3 M (Weiler, 2005). A sensitivity analysis showed that flow variability in macropores at higher rainfall intensities markedly reduces water transfer and increases bypass flow.…”

Section: Field Scalementioning

confidence: 99%

See 4 more Smart Citations

A review of model applications for structured soils: a) Water flow and tracer transport

Köhne

Šimůnek

2009

Journal of Contaminant Hydrology

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Section: Field Scalementioning

confidence: 67%

Section: Capillary Pf Modelsmentioning

confidence: 99%

Section: Capacity Approachesmentioning

confidence: 99%

Section: Capacity Approachesmentioning

confidence: 99%

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confidence: 99%

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A review of model applications for structured soils: a) Water flow and tracer transport

Köhne

Šimůnek

2009

Journal of Contaminant Hydrology

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Improving the representation of hydrologic processes in Earth System Models

Clark

Fan

Lawrence

et al. 2015

Water Resources Research

468

404

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Many of the scientific and societal challenges in understanding and preparing for global environmental change rest upon our ability to understand and predict the water cycle change at large river basin, continent, and global scales. However, current large-scale land models (as a component of Earth System Models, or ESMs) do not yet reflect the best hydrologic process understanding or utilize the large amount of hydrologic observations for model testing. This paper discusses the opportunities and key challenges to improve hydrologic process representations and benchmarking in ESM land models, suggesting that (1) land model development can benefit from recent advances in hydrology, both through incorporating key processes (e.g., groundwater-surface water interactions) and new approaches to describe multiscale spatial variability and hydrologic connectivity; (2) accelerating model advances requires comprehensive hydrologic benchmarking in order to systematically evaluate competing alternatives, understand model weaknesses, and prioritize model development needs, and (3) stronger collaboration is needed between the hydrology and ESM modeling communities, both through greater engagement of hydrologists in ESM land model development, and through rigorous evaluation of ESM hydrology performance in research watersheds or Critical Zone Observatories. Such coordinated efforts in advancing hydrology in ESMs have the potential to substantially impact energy, carbon, and nutrient cycle prediction capabilities through the fundamental role hydrologic processes play in regulating these cycles.

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Scale‐dependency of effective hydraulic conductivity on fire‐affected hillslopes

Langhans

Lane

Nyman

et al. 2016

Water Resources Research

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Effective hydraulic conductivity (Ke) for Hortonian overland flow modeling has been defined as a function of rainfall intensity and runon infiltration assuming a distribution of saturated hydraulic conductivities (Ks). But surface boundary condition during infiltration and its interactions with the distribution of Ks are not well represented in models. As a result, the mean value of the Ks distribution ( KS¯), which is the central parameter for Ke, varies between scales. Here we quantify this discrepancy with a large infiltration data set comprising four different methods and scales from fire‐affected hillslopes in SE Australia using a relatively simple yet widely used conceptual model of Ke. Ponded disk (0.002 m2) and ring infiltrometers (0.07 m2) were used at the small scales and rainfall simulations (3 m2) and small catchments (ca 3000 m2) at the larger scales. We compared KS¯ between methods measured at the same time and place. Disk and ring infiltrometer measurements had on average 4.8 times higher values of KS¯ than rainfall simulations and catchment‐scale estimates. Furthermore, the distribution of Ks was not clearly log‐normal and scale‐independent, as supposed in the conceptual model. In our interpretation, water repellency and preferential flow paths increase the variance of the measured distribution of Ks and bias ponding toward areas of very low Ks during rainfall simulations and small catchment runoff events while areas with high preferential flow capacity remain water supply‐limited more than the conceptual model of Ke predicts. The study highlights problems in the current theory of scaling runoff generation.

show abstract

An infiltration model based on flow variability in macropores: development, sensitivity analysis and applications

Cited by 92 publications

References 54 publications

A review of model applications for structured soils: a) Water flow and tracer transport

A review of model applications for structured soils: a) Water flow and tracer transport

Improving the representation of hydrologic processes in Earth System Models

Scale‐dependency of effective hydraulic conductivity on fire‐affected hillslopes

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