Preferential Flow in a Pedological Perspective

Jarvis, Nicholas; Moeys, Julien; Koestel, John; Hollis, J. M.

doi:10.1016/b978-0-12-386941-8.00003-4

Cited by 38 publications

(36 citation statements)

References 251 publications

(256 reference statements)

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“…A well-developed soil structure (higher BD partly related to higher CL contents), with a few well-aligned, less tortuous, and well-connected macropores resulted in more pronounced preferential flow at Silstrup compared with the less structurally developed soil at Faardrup (e.g., Anderson and Bouma, 1977;Norgaard et al, 2012;Jarvis et al, 2012;Larsbo et al, 2014). On the other hand, lateral mass exchange was more pronounced at the Faardrup site, as evidenced by the more symmetrical shape of the majority of the BTC.…”

Section: The Role Of Preferential Flowmentioning

confidence: 92%

Effects of Soil Compaction and Organic Carbon Content on Preferential Flow in Loamy Field Soils

et al. 2015

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Preferential flow and transport through macropores affect plant water use efficiency and enhance leaching of agrochemicals and the trans-port of colloids, thereby increasing the risk for contamination of groundwa-ter resources. The effects of soil compaction, expressed in terms of bulk density (BD), and organic carbon (OC) content on preferential flow and transport were investigated using 150 undisturbed soil cores sampled from 15 x 15-m grids on two field sites. Both fields had loamy textures, but one site had significantly higher OC content. Leaching experiments were conducted in each core by applying a constant irrigation rate of 10 mm h −1 with a pulse application of tritium tracer. Five percent tritium mass arrival times and apparent dispersivities were derived from each of the tracer breakthrough curves and correlated with texture, OC content, and BD to assess the spatial distribution of preferential flow and transport across the investigated fields. Soils from both fields showed strong positive correlations between BD and preferential flow. Interestingly, the relationships between BD and tracer transport characteristics were markedly different for the two fields, although the relationship between BD and macroporosity was nearly identical. The difference was likely caused by the higher contents of fines and OC at one of the fields leading to stronger aggregation, smaller matrix permeability, and a more pronounced pipe-like pore system with wellaligned macropores.

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Section: The Role Of Preferential Flowmentioning

confidence: 92%

Effects of Soil Compaction and Organic Carbon Content on Preferential Flow in Loamy Field Soils

et al. 2015

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“…Nevertheless, DP models can often match measurements reasonably well (Köhne et al, 2009a, 2009b); they are also fast to run and numerically stable, and their structure is simple, which means that many chemical and biological processes can easily be incorporated into the models. For these reasons, DP models are now sometimes used as management and decision‐making tools, for example in pesticide risk assessment (Jarvis et al, 2012; Jarvis and Larsbo, 2012). Two‐ and three‐dimensional versions of DP models have also been developed that have been used to explore the impacts of pore‐scale processes on soil hydrology and water quality in both drained and undrained soils at hillslope and field scales (e.g., Gärdenäs et al, 2006; Warsta et al, 2013; Gerke et al, 2013; Bishop et al, 2015; Dusek and Vogel, 2016).…”

Section: Model Concepts and Simulationmentioning

confidence: 99%

Understanding Preferential Flow in the Vadose Zone: Recent Advances and Future Prospects

Jarvis

Koestel

Larsbo

2016

Vadose Zone Journal

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195

188

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Core Ideas Understanding of preferential flow is improving, stimulated partly by new technologies. Empirical process understanding has outstripped the capability of models to predict. Better models must await future advances in computational power. In this update, we review some of the more significant advances that have been made in the last decade in the study of preferential flow through the vadose zone as well as suggest some research needs in the coming years. We focus mostly on work that aims to improve understanding of the processes themselves and less on more applied aspects concerning the various consequences of preferential flow (e.g., for surface water and groundwater quality). In recent years, the research emphasis has shifted somewhat toward the two extremes of the scale continuum, the pore scale and the scale of management (field, catchments, and landscapes). This trend has been facilitated by significant advances in both measurement technologies (e.g., noninvasive imaging techniques and high frequency–high spatial resolution monitoring of soil moisture at field and catchment scales) and application of novel methods of analysis to large datasets (e.g., machine learning). This work has led to a better understanding of how pore network properties control preferential flow at the pore to core scales as well as some new insights into the influence of site attributes (climate, land uses, soil types) at field to landscape scales. We conclude that models do not at present fully reflect the current state of process understanding and empirical knowledge of preferential flow. However, we expect that significant advances in computational techniques, computer hardware, and measurement technologies will lead to increasingly reliable model predictions of the impacts of preferential flow, even at the larger scales relevant for management.

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“…Hydropedologic relationships may lead to fruitful estimation techniques for characterizing preferential flow through the source‐responsive model. Jarvis et al (2012) noted that soil characteristics discerned from evaluation of soil structure‐related factors like soil aggregation, biologic influences, and patterns of soil genesis have potential for quantifying characteristics of soil water flow. Such pedologic features, also including clay films, soil structures, root distributions, ped coatings, and hydromorphic features (Lin et al, 2006) are directly related to what gives M its particular value at a position in the soil profile.…”

Section: Discussionmentioning

confidence: 99%

“…The complex interaction of attributes and processes that control preferential flow in soil is a central challenge of hydropedology (Jarvis et al, 2012). Macropores, fingering, shrinkage/swelling, phase and temperature changes, heterogeneity at all scales, roots, microbiota, fauna, and biofilms are just a few of the factors that collectively cause soil water to flow preferentially through certain pathways while bypassing some fraction of the porous matrix.…”

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confidence: 99%

Predicting Vertically Nonsequential Wetting Patterns with a Source‐Responsive Model

Nimmo

Mitchell

2013

Vadose Zone Journal

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Water infiltrating into soil of natural structure often causes wetting patterns that do not develop in an orderly sequence. Because traditional unsaturated flow models represent a water advance that proceeds sequentially, they fail to predict irregular development of water distribution. In the source‐responsive model, a diffuse domain (D) represents flow within soil matrix material following traditional formulations, and a source‐responsive domain (S), characterized in terms of the capacity for preferential flow and its degree of activation, represents preferential flow as it responds to changing water‐source conditions. In this paper we assume water undergoing rapid source‐responsive transport at any particular time is of negligibly small volume; it becomes sensible at the time and depth where domain transfer occurs. A first‐order transfer term represents abstraction from the S to the D domain which renders the water sensible. In tests with lab and field data, for some cases the model shows good quantitative agreement, and in all cases it captures the characteristic patterns of wetting that proceed nonsequentially in the vertical direction. In these tests we determined the values of the essential characterizing functions by inverse modeling. These functions relate directly to observable soil characteristics, rendering them amenable to evaluation and improvement through hydropedologic development.

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Preferential Flow in a Pedological Perspective

Cited by 38 publications

References 251 publications

Effects of Soil Compaction and Organic Carbon Content on Preferential Flow in Loamy Field Soils

Effects of Soil Compaction and Organic Carbon Content on Preferential Flow in Loamy Field Soils

Understanding Preferential Flow in the Vadose Zone: Recent Advances and Future Prospects

Predicting Vertically Nonsequential Wetting Patterns with a Source‐Responsive Model

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