Parameters for describing soil macroporosity derived from staining patterns

Droogers, P.; Stein, Alfred; Bouma, J.; Boer, Gijs de

doi:10.1016/s0016-7061(98)00005-6

Cited by 55 publications

(32 citation statements)

References 15 publications

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“…Among others, the surface fractal dimension D s has been suggested as the best parameter to quantify staining patterns 56 . The fractal dimension of stained surface is found to be correlated with porosity, particle size and  values, and three regression equations for estimating fractal dimensions have been recommended as follows 41 D s = 0.0525(2 -) + 0.677 -0.095d + 0.960,…”

Section: Fractal Dimension Of Soil Parametersmentioning

confidence: 99%

Macropore Flow as a Groundwater Component in Hydrologic Simulation:Modelling, Applications and Results

Kumar¹,

Meenambal²,

Kumar³

2017

Current Science

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Section: Fractal Dimension Of Soil Parametersmentioning

confidence: 99%

Macropore Flow as a Groundwater Component in Hydrologic Simulation:Modelling, Applications and Results

Kumar¹,

Meenambal²,

Kumar³

2017

Current Science

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“…The horizontal spatial distribution of these paths varied in different soil profiles (Droogers et al 1998). On the basis of the detection results, the preferential flow paths of the horizontal stained image could be divided into four size classes: ≤ 1.0 mm, 1.0-2.5 mm, 2.5-5.0 mm, and 5.0-10.0 mm.…”

Section: Quantities Of Preferential Flow Paths In Horizontal Profilesmentioning

confidence: 99%

“…The use of a statistical method is complicated as well. The minimum distances among preferential flow paths have been applied as statistical parameters and preliminary analysis was performed by Droogers et al (1998) on the horizontal spatial distribution of such paths using a frequency statistical method. This method was also employed by Weiler and Flüh-ler (2004).…”

Section: Introductionmentioning

confidence: 99%

Application of the method of spatial point pattern analysis to the horizontal spatial distribution of preferential flow paths

Lu¹,

Cheng²,

Wang³

et al. 2015

The Forestry Chronicle

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Preferential flow significantly influences hydrological processes in forests. The occurrence and development of this flow is directly affected by its spatial distribution. To determine whether or not point pattern analysis method can be used to examine the horizontal spatial distribution of preferential flow paths, experiments were conducted with dye tracer permeation to observe flow processes. Results indicated that an increase in penetration water volume exerted only a specific effect on preferential flow paths of large class in the topmost soil. Moreover, such paths showed distinct clumped patterns at the 25-cm scale under both high permeation water volume and low permeation water volume treatments. Nonetheless, the distribution pattern became uniform as scale range increased. The significance of the correlation between the spatial distribution of preferential flow paths and plant roots decreased from the top soil layer to the bottom. These findings suggest that soil depth and water permeation volume are important to the horizontal spatial distribution of preferential flow paths. Moreover, point pattern analysis method is suitable for investigating the horizontal spatial distribution of preferential flow paths and determining the correlation between the spatial distribution of preferential flow paths and plant roots.Key words: preferential flow paths, brilliant blue dye tracing, spatial point pattern analysis RESUME L' écoulement préférentiel influence de façon significative les processus hydrologiques du milieu forestier. L' occurrence et le développement de cet écoulement est directement affecté par sa distribution spatiale. De façon à déterminer si oui ou non l'analyse du motif de points peut être utilisée pour étudier la distribution spatiale horizontale des réseaux d' écoule-ment préférentiel, des essais de diffusion ont été réalisés au moyen de colorants traceurs afin de suivre les processus d' écoulement. Les résultats ont indiqué qu'une augmentation du niveau de pénétration de l' eau exerçait un effet spécifique seulement sur les réseaux d' écoulement préférentiel de grande envergure situés dans le sol de surface. De plus, ces réseaux ont affichés des schémas agrégatifs distincts à l' échelle de 25 cm à la fois en présence d'un fort volume d' eau de pénétra-tion et d'un faible volume d' eau de pénétration. Néanmoins, le schéma de distribution est devenu uniforme avec l'augmentation de l' échelle. L'importance de la corrélation entre la distribution spatiale des réseaux d' écoulement préférentiel et les racines des plantes diminuait à partir de la couche de sol superficiel vers le bas. Ces observations indiquent que la profondeur du sol et le volume d' eau de pénétration sont importants au niveau de la distribution spatiale horizontale des réseaux d' écoulement préférentiel. De plus, l'analyse du motif par points permet l' étude de la distribution spatiale horizontale des réseaux d' écoulement préférentiel et de déterminer la corrélation entre la distribution spatiale des réseaux d' écoulement ...

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“…van Stiphout et al (1987) used dye tracer and soil moisture measurements to study infiltration behaviour in macroporous soil at the plot scale with both dry and wet initial soil moisture conditions. Droogers et al (1998) used dye staining technique with subsequent digital image processing to quantify parameters for describing macroporosity in soils under different management practices. They reported that the number of pores, the average area per pore, and the pore-shape were the most appropriate parameters to describe soil macroporosity.…”

Section: Introductionmentioning

confidence: 99%

An experimental investigation to characterise soil macroporosity under different land use and land covers of northeast India

2010

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Saturated macropore flow is the dominant hydrological process in tropical and subtropical hilly watersheds of northeast India. The process of infiltration into saturated macroporous soils is primarily controlled by size, network, density, connectivity, saturation of surrounding soil matrix, and depthwise distribution of macropores. To understand the effects of local land use, land cover and management practices on soil macroporosity, colour dye infiltration experiments were conducted with ten soil columns (25 × 25 × 50 cm) collected from different watersheds of the region under similar soil and agro-climatic zones. The sampling sites included two undisturbed forested hillslopes, two conventionally cultivated paddy fields, two forest lands abandoned after Jhum cultivation, and two paddy fields, one pineapple plot and one banana plot presently under active cultivation stage of the Jhum cycle. Digital image analyses of the obtained dye patterns showed that the infiltration patterns differed significantly for different sites with varying land use, land cover, and cultivation practices. Undisturbed forest soils showed high degree of soil macroporosity throughout the soil profile, paddy fields revealed sealing of macropores at the topsoil due to hard pan formation, and Jhum cultivated plots showed disconnected subsoil macropores. The important parameters related to soil macropores such as maximum and average size of macropores, number of active macropores, and depthwise distribution of macropores were estimated to characterise the soil macroporosity for the sites. These experimentally derived quantitative data of soil macroporosity can have wide range of applications in the region such as water quality monitoring and groundwater pollution assessment due to preferential leaching of solutes and pesticides, study of soil structural properties and infiltration behaviour of soils, investigation of flash floods in rivers, and hydrological modelling of the watersheds.

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Parameters for describing soil macroporosity derived from staining patterns

Cited by 55 publications

References 15 publications

Macropore Flow as a Groundwater Component in Hydrologic Simulation:Modelling, Applications and Results

Macropore Flow as a Groundwater Component in Hydrologic Simulation:Modelling, Applications and Results

Application of the method of spatial point pattern analysis to the horizontal spatial distribution of preferential flow paths

An experimental investigation to characterise soil macroporosity under different land use and land covers of northeast India

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