Modeling water flow and mass transport in a loess catchment

Zehe, Erwin; Maurer, Tessa; Ihringer, J.; Plate, Erich J.

doi:10.1016/s1464-1909(01)00041-7

Cited by 106 publications

(140 citation statements)

References 24 publications

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“…WEC-C was validated against synthetic data examples (Croton and Barry, 2001). CATFLOW (Zehe et al, 2001), based on the original model HILLFLOW (Bronstert, 1994), subdivides the catchment area into a number of hillslopes connected to a drainage network. Each hillslope is conceptualized as 2D vertical cross-sections through its main slope.…”

Section: Hydrological Unit Modelsmentioning

confidence: 99%

“…A threshold of rainfall depth halting the rapid water table rise and initiating lateral PF in hillslopes is also assumed in modified DHSVM (Beckers and Alila, 2004 (Zehe et al, 2001) to study how uncertainty of initial soil moisture values is propagated into model prediction uncertainty of the hydraulic responses in the agricultural Weiherbach catchment (3.6 km 2 ), Germany. The model parameterization was based on laboratory and catchment data.…”

Section: Hillslope Scalementioning

confidence: 99%

“…Model validation for macropore flow was hampered by the lack of experimental data at this scale (Christiansen et al, 2004). Zehe et al (2001) assembled the CATFLOW model based on experimental studies carried out in the Weiherbach catchment (6.3 km 2 ) in S-W Germany. CATFLOW integrates three different spatial scales (plot, field, catchment) and three different time scales for BCs and parameters (constant, season, event).…”

Section: Summary For Scale II (Plot Field)mentioning

confidence: 99%

“…The CATFLOW simulation results were compared to observations of water contents, infiltration rates, and flow patterns from the Weiherbach catchment. Again, model validation was limited by the non-representativeness of point data for larger areas (Zehe et al, 2001).…”

Section: Summary For Scale II (Plot Field)mentioning

confidence: 99%

See 3 more Smart Citations

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

Köhne

Šimůnek

2009

Journal of Contaminant Hydrology

291

224

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Section: Hydrological Unit Modelsmentioning

confidence: 99%

Section: Hillslope Scalementioning

confidence: 99%

Section: Summary For Scale II (Plot Field)mentioning

confidence: 99%

Section: Summary For Scale II (Plot Field)mentioning

confidence: 99%

See 2 more Smart Citations

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

Köhne

Šimůnek

2009

Journal of Contaminant Hydrology

291

224

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“…Examples for this approach are PnET (Aber et al, 1997), EPIC (Williams et al, 1984), CENTURY (Parton et al, 1983) and WOFOST (Diepen et al, 2007). On the other hand, two dimensional Richards equation based models, such as CATFLOW (Maurer, 1997;Zehe et al, 2001) or HYDRUS 2D (Simunek et al, 1999) do neither include submodels to calculate nutritional uptake by plants, nor models for decomposition of the crop residuals after harvest. Although the combination of an existing crop growth model with an existing transport model in a single code base is feasible, the resulting integrated model might suffer a specific functionality for the next arisen use case.…”

Section: Discussionmentioning

confidence: 99%

Using Python as a coupling platform for integrated catchment models

Kraft¹,

Multsch²,

Vaché

et al. 2010

Adv. Geosci.

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Abstract. Interdisciplinary sharing of knowledge is a key for understanding matter fluxes in landscapes. However, models of transport and reactive fluxes from different disciplines need to work seamlessly together, to capture the tight feedback loops between different compartments and process domains of a landscape. Techniques to facilitate the integration of model codes for integrated catchment modelling exist, but are still scarcely used. In this paper, we are testing a scripting language, Python as a model coupling platform, and demonstrates effects of feedback loops on a virtual agriculturally used hillslope.

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Assessing Uncertainty Propagation through Physically Based Models of Soil Water Flow and Solute Transport

Brown

Heuvelink

2005

Encyclopedia of Hydrological Sciences

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Soil hydrological models are inherently imperfect because they abstract and simplify “real” hydrological patterns and processes. Indeed, an important aim of modeling is to establish the simplest description possible for adequately addressing a particular problem. Also, models are frequently based on input data that are known to be inadequate for some practical purpose. Thus, uncertainties in model outputs originate from uncertainties in input data, which include measurement and interpolation errors, and in models that include conceptual, logical, mathematical, and computational errors. Understanding the causes and consequences of uncertainty in soil hydrological modeling is useful for: (i) establishing the utility of data and models as decision‐support tools; (ii) directing resources towards improving data and models, and (iii) seeking alternative ways of managing soils when the opportunities for accurate modeling are limited. This chapter focuses on statistical methods for assessing uncertainty in soil data and models, propagating uncertainties through models, and assessing the contribution of different sources of uncertainty to the overall uncertainties in model predictions. In addition, it explores the impacts of scale, and changes between scales, on the outcomes of an uncertainty analysis. It concentrates on physically based models of soil water flow and solute transport, and provides numerous examples from the literature here

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Modeling water flow and mass transport in a loess catchment

Cited by 106 publications

References 24 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

Using Python as a coupling platform for integrated catchment models

Assessing Uncertainty Propagation through Physically Based Models of Soil Water Flow and Solute Transport

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