Evaluation of different procedures to interpolate particle-size distributions to achieve compatibility within soil databases

Nemes, Attila; Wösten, J.H.M.; Lilly, Allan; Voshaar, J.H. Oude

doi:10.1016/s0016-7061(99)00014-2

Cited by 139 publications

(94 citation statements)

References 13 publications

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“…They confirmed that the transport distance and the longitudinal dispersivity are generally positively correlated in soils. The same observation had been previously reported for tracer experiments in groundwater (Gelhar et al, 1992;Neuman, 1990). All of the above discussed studies have "a priori" assumed the validity of one solute transport model, usually the CDE or the MIM.…”

Section: Introductionsupporting

confidence: 72%

Meta-analysis of the effects of soil properties, site factors and experimental conditions on solute transport

Koestel

Moeys

Jarvis

2012

Hydrol. Earth Syst. Sci.

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Abstract. Preferential flow is a widespread phenomenon that is known to strongly affect solute transport in soil, but our understanding and knowledge is still poor of the site factors and soil properties that promote it. To investigate these relationships, we assembled a database from the peer-reviewed literature containing information on 733 breakthrough curve experiments under steady-state flow conditions. Most of the collected experiments (585 of the 733 datasets) had been conducted on undisturbed soil columns, although some experiments on repacked soil, clean sands, and glass beads were also included. In addition to the apparent dispersivity, we focused our attention on three indicators of preferential solute transport: namely the 5 %-arrival time, the holdback factor, and the ratio of piston-flow and average transport velocities. Our results suggest that, in contrast to the 5 %-arrival time and the holdback factor, the piston-flow to transport velocity ratio is not related to preferential macropore transport but rather to the exclusion or retardation of the applied tracer. Confirming that the apparent longitudinal dispersivity is positively correlated with the travel distance of the tracer, our results also illustrate that this relationship is refined if the normalized 5 %-tracer arrival time is also taken into account. In particular, we found that the degree of preferential solute transport increases with apparent dispersivity and decreases with travel distance. A similar but weaker relationship was observed between apparent dispersivity, 5 %-tracer arrival time, and lateral observation scale, such that the degree of preferential transport increases with lateral observation scale. However, we also found that the travel distance and the lateral observation scale in the investigated dataset are correlated, which makes it difficult to distinguish their influence on these transport characteristics. We also found that the strength of preferential transport increased at larger flow rates and water saturations, which suggests that macropore flow was a more important flow mechanism than heterogeneous flow in the soil matrix. Nevertheless, our data show that heterogeneous flow in the soil matrix also occasionally leads to strong preferential transport. Furthermore, we show that preferential solute transport under steady-state flow depends on soil texture in a threshold-like manner: moderate to strong preferential transport was found to occur only for undisturbed soils that contain more than 8 % clay. Preferential flow characteristics were also absent for columns filled with glass beads, clean sands, or sieved soil. No clear effect of land use on the pattern of solute transport could be discerned, probably because the available dataset was too small and too strongly affected by cross-correlations with experimental conditions. Our results suggest that, in developing pedotransfer functions for solute transport properties of soils, it is critically important to account for travel distance, lateral observation scale, an...

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Section: Introductionsupporting

confidence: 72%

Meta-analysis of the effects of soil properties, site factors and experimental conditions on solute transport

Koestel

Moeys

Jarvis

2012

Hydrol. Earth Syst. Sci.

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“…This diagram provides a more quantitative evaluation of the differences among the soils employed in this study and helps in finding suitable representative soil samples for the subsequent analyses being carried out in this study. To further proceed in selecting representative soils, we have also grouped all of the 1087 soils according to the classes of the FAO-HYPRES soil textural triangle (Nemes et al, 1999) and computed the boxplots of variable PAWS max for the soils pertaining to the fine, medium, and coarse textural classes (see Fig. 6).…”

Section: Soil Vegetation and Climatic Characteristicsmentioning

confidence: 99%

Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes

Romano

Palladino

Chirico

2011

Hydrol. Earth Syst. Sci.

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Abstract. We investigate the potential impact of accounting for seasonal variations in the climatic forcing and using different methods to parameterize the soil water content at field capacity on the water balance components computed by a bucket model (BM). The single-layer BM of Guswa et al. (2002) is employed, whereas the Richards equation (RE) based Soil Water Atmosphere Plant (SWAP) model is used as a benchmark model. The results are analyzed for two differently-textured soils and for some synthetic runs under real-like seasonal weather conditions, using stochasticallygenerated daily rainfall data for a period of 100 years. Since transient soil-moisture dynamics and climatic seasonality play a key role in certain zones of the World, such as in Mediterranean land areas, a specific feature of this study is to test the prediction capability of the bucket model under a condition where seasonal variations in rainfall are not in phase with the variations in plant transpiration. Reference is made to a hydrologic year in which we have a rainy period (starting 1 November and lasting 151 days) where vegetation is basically assumed in a dormant stage, followed by a drier and rainless period with a vegetation regrowth phase. Better agreement between BM and RE-SWAP intercomparison results are obtained when BM is parameterized by a field capacity value determined through the drainage method proposed by Romano and Santini (2002). Depending on the vegetation regrowth or dormant seasons, rainfall variability within a season results in transpiration regimes and soil moisture fluctuations with distinctive features. During the vegetation regrowth season, transpiration exerts a key control on soil water budget with respect to rainfall. During the dormant season of vegetation, the precipitation regime becomes an important climate forcing. Simulations also highlight the occurrence of bimodality in the probability distribution of soil Correspondence to: N. Romano (nunzio.romano@unina.it) moisture during the season when plants are dormant, reflecting that soil, it being of coarser or finer texture, can be preferentially in either wetter or drier states over this period.

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“…This only affected the relative proportion of silt and sand particles. Conversion was done by loglinear interpolation (Nemes et al, 1999), which appeared to be the most viable method with data availabe only for three size classes.…”

Section: Appendix D: Pedotransfer Functionsmentioning

confidence: 99%

Modeling macropore seepage fluxes from soil water content time series by inversion of a dual permeability model

Valle

Potthast

Meyer

et al. 2017

Preprint

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Abstract. Dual permeability models are widely used to simulate water fluxes and solute transport in structured soils. However, so far obtaining necessary data for model calibration is a problem due to the large set of unconstrained parameters. Therefore, this study presents a simplified 1D dual permeability model whose structure is similar to the MACRO model together with a calibration scheme that allows constraining the parameters using time series of soil water content. The inversion scheme consists of four consecutive steps: First, the parameters of three different water retention functions were assessed using vertical 5 soil water content profiles assuming hydraulic equilibrium. Second, the soil sorptivity and diffusivity functions were estimated from Boltzmann-transformed soil water content data of a drying period. Third, the parameters governing macropore flow were determined using the most dynamic part of the soil water content time series during the first 12 h after a precipitation event.The model was calibrated using data of artificial, homogeneous and shallow soils from mesocosms. The resulting retention functions predicted similar values as pedotransfer functions apart from for very dry conditions. The predicted soil water content 10 time series were in good agreement with measurements at 5 and 12 cm soil depth. Predicted macropore seepage fluxes exhibited high uncertainty and differed between water retention functions, but average predictions were close to measurements for two of the three water retention functions.The study demonstrates the feasibility of calibrating a 1D dual permeability model with soil water content time series.

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Evaluation of different procedures to interpolate particle-size distributions to achieve compatibility within soil databases

Cited by 139 publications

References 13 publications

Meta-analysis of the effects of soil properties, site factors and experimental conditions on solute transport

Meta-analysis of the effects of soil properties, site factors and experimental conditions on solute transport

Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes

Modeling macropore seepage fluxes from soil water content time series by inversion of a dual permeability model

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