Saturated Soil Hydraulic Conductivity

Angulo-Jaramillo, Rafaël; Bagarello, Vincenzo; Iovino, Massimo; Lassabatère, Laurent

doi:10.1007/978-3-319-31788-5_2

Cited by 6 publications

(4 citation statements)

References 175 publications

(403 reference statements)

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“…Soil physical indicators (e.g. bulk density, soil moisture, soil texture) are critical because they provide critical information on the conditions affecting seed germination, water and air movement through soil, and soil erosion (Angulo‐Jaramillo et al 2016). Soil chemical indicators (e.g.…”

Section: Introductionmentioning

confidence: 99%

Key gaps in soil monitoring during forest restoration in Colombia

Lozano-Baez

Domínguez-Haydar

Meli

et al. 2021

Restoration Ecology

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The knowledge of soil indicators during forest restoration is essential for understanding the recovery of ecosystem functions such as biomass production and water regulation. Despite this importance, in most restoration programs over the world, the soil remains under-investigated. Here, we conducted a systematic literature review in order to determine: (1) the extent to which soil indicators are monitored during forest restoration in Colombia; (2) the type of soil indicators (e.g. physical, chemical, or biological) that are used for the monitoring; and (3) the regions where soil indicators are measured. We found 34 studies that report soil indicators. The most frequently studied restoration sites were 0-5 years old (36%). The majority (71%) of the studies only measured the soil characteristics at the topsoil. Soil sodium (Na) and phosphorus (P) concentrations were the most common chemical soil indicators reported by the studies. Soil biological indicators were the least frequently reported indicators. The studies rarely reported soil indicators that affect water movement directly. Of the retrieved studies, most included information about old-growth forests (63%) or degraded sites (56%) for comparisons with forests undergoing restoration. Based on these results we provide recommendations for monitoring soil characteristics to assess the effectiveness of forest restoration projects in Colombia, and other tropical countries.

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Section: Introductionmentioning

confidence: 99%

Key gaps in soil monitoring during forest restoration in Colombia

Lozano-Baez

Domínguez-Haydar

Meli

et al. 2021

Restoration Ecology

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“…x are the values predicted by the models. Values of Er < 5% were assumed indicative of a satisfactory fitting ability of the models (Angulo-Jaramillo et al, 2016;Lassabatere et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Among other properties, the field-saturated soil hydraulic conductivity, K fs , has an important role in the partitioning of rainfall into runoff and infiltration (Dusek et al, 2012). Different devices and techniques have been developed over time to measure K fs in the field, such as the Guelph permeameter, the double-and the single-ring infiltrometers, among others (Angulo-Jaramillo et al, 2016). The Guelph permeameter is a device that establishes three-dimensional, constant-head infiltration within a small well excavated into the soil (Reynolds and Elrick, 1985).…”

Section: Introductionmentioning

confidence: 99%

Experimental assessment of a new comprehensive model for single ring infiltration data

Prima

Castellini

Najm

et al. 2019

Journal of Hydrology

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The objective of this paper was to evaluate a recently proposed comprehensive model for threedimensional single-ring infiltration and its suitability for estimating soil hydraulic properties. Infiltration data from four different soils with contrasting characteristics were inverted to estimate field-saturated soil hydraulic conductivity, K fs , values using a total of fourteen different scenarios. Those scenarios differed by: i) the way they constrained the macroscopic capillary length, λ, and the initial and saturated soil water contents, θ i and θ s , ii) the use of transient or steady-state data, and iii) the fitting methods applied to transient data. For comparative purposes, the SSBI method (Steady version of the Simplified method based on a Beerkan Infiltration run) was also applied. For validation purposes K fs data estimated from the different scenarios were compared with those values obtained by numerical inverse modeling with HYDRUS-2D/3D. This comparison identified Approaches 1 and 3, which respectively estimate K fs via optimization and using analytical expressions, as the most accurate methods. The steady-state scenario of Approach 4 and the SSBI method, both of which use a λ value of first approximation, appeared preferable for field campaigns aimed to sample remote or large areas, given that they do not need additional data and still provide acceptable estimates. The reliability of K fs data was also checked through a comparison with unsaturated hydraulic conductivity, K h , values measured in laboratory on extracted soil cores, in order to discriminate between theoretically possible (K fs > K h) and impossible (K fs ≤ K h) situations. Physically possible K fs values were always obtained with the exception of the crusted soil, where K fs < K h situations suggested that the crust layer reduced water flow during ponding experiments in the field. The new comprehensive model tested in this study represents a valuable tool for analyzing both transient and steady-state infiltration data, as well as experiments carried out with different depths of ponded water, ring sizes and ring insertion depths.

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“…1 with falling head and constant head arrangements. There is also a single infiltrometer, [8] and [9], which is illustrated in Fig. 2.…”

Section: Introductionmentioning

confidence: 99%

Excel Approach for Infiltration Capacity for Different Lands

El-Hazek

2018

JERR

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This paper presents an Excel approach for infiltration capacity for different types of lands. That is to employ the popular Microsoft Excel software to represent the measured infiltration data graphically. Regression analysis is performed for the accumulated infiltration versus the time. Equations are obtained to predict the accumulated infiltration at required times. Thirty one raw infiltration measurements from various sources are gathered, studied and analyzed applying this approach. Measurements include different types of soil textures and land covers. The infiltration rates are measured by the commonly used infiltrometer. Both single infiltrometer and double infiltrometer are employed. It is concluded that the presented Polynomial infiltration model of Excel approach for the accumulated infiltration is associated with high accuracy, where the values of coefficient of determination (R2) range between 0.9850 and 0.9998. The obtained equations can help in irrigation processes. All the gathered raw experimental infiltration measurements are also analyzed employing Horton and Kostiakov infiltration models. It is found that the Polynomial infiltration model of Excel approach has higher accuracy, followed by Kostiakov model, and finally Horton model. The values of different constants of Horton and Kostiakov infiltration models for all cases are obtained. The accuracy of the Polynomial, Horton and Kostiakov infiltration models are studied considering the types of soil texture and land cover. Investigating the constants A, B and C of the obtained equation of the polynomial infiltration model of Excel approach, it is found that all A values are negative, all B values are positive, and all C values are positive except for sandy clay and sandy clay loam soils. There is no specific trend for the effect of the associated land cover on constants A, B, and C except for loamy sand soil, where B and C values for bare land are greater than their values for irrigated land.

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Saturated Soil Hydraulic Conductivity

Cited by 6 publications

References 175 publications

Key gaps in soil monitoring during forest restoration in Colombia

Key gaps in soil monitoring during forest restoration in Colombia

Experimental assessment of a new comprehensive model for single ring infiltration data

Excel Approach for Infiltration Capacity for Different Lands

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