Hydrodynamic Characterization of Basic Oxygen Furnace Slag through an Adapted BEST Method

Yılmaz, Deniz; Lassabatère, Laurent; Angulo-Jaramillo, Rafaël; Deneele, Dimitri; Legret, Michel

doi:10.2136/vzj2009.0039

Cited by 107 publications

(107 citation statements)

References 37 publications

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“…This choice was made since it allows a higher success percentage of the infiltration runs to be obtained compared with other possible algorithms, such as BEST-slope [41] and BEST-intercept [42], whose data require fitting to the transient stage of the infiltration run. Another expected advantage of the BEST-steady algorithm is that the possible problems associated with the use of the transient infiltration data are avoided.…”

Section: Estimating and Selecting The Best Algorithmmentioning

confidence: 99%

Previous Land Use Affects the Recovery of Soil Hydraulic Properties after Forest Restoration

Lozano-Baez

Cooper

Ferraz

et al. 2018

Water

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Knowledge of soil hydraulic properties after forest restoration is essential for understanding the recovery of hydrological processes, such as water infiltration. An increase of forest cover may improve water infiltration and soil hydraulic properties, but little is known about the response and extent to which forest restoration can affect these properties. The purpose of this study was to investigate the effect of forest restoration on surface-saturated soil hydraulic conductivity (K s ), and to verify the K s recovery to the pre-disturbance soil conditions. We sampled field K s at the surface in Campinas municipality, São Paulo State, Brazil, at 18 plots under three land-cover types: (i) a pasture; (ii) a restored forest using a high-diversity mix of plantings (85 regional native species) of 9 years of age; and (iii) a remnant forest patch. We used the Beerkan method for soil hydraulic characterization. Bulk density (ρ b ), soil organic carbon content (OC), soil porosity and particle size data were also sampled. We found considerable differences in soil hydraulic properties between land-cover classes. The highest K s were observed in remnant forest sites and the lowest K s were associated with pasture sites. The K s recovery differs markedly between restored forests. Our results strongly suggest that soil attributes and K s recovery are influenced by the duration and intensity of land use prior to forest restoration. Attention needs to be given to management activities before, during and after forest restoration, especially where the soil is still compacted and K s is low.

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Section: Estimating and Selecting The Best Algorithmmentioning

confidence: 99%

Previous Land Use Affects the Recovery of Soil Hydraulic Properties after Forest Restoration

Lozano-Baez

Cooper

Ferraz

et al. 2018

Water

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“…Beerkan infiltration data were interpreted using the "BEST" algorithm (Lassabatere et al, 2006), which derives the entire set of hydraulic parameters through fitting infiltration data on the analytical infiltration model proposed by Haverkamp et al (1994). This model has been recently validated on generated numerical data (Lassabatere et al, 2009) and field data including coarse materials (Di Prima et al, 2016;Lassabatere et al, 2010;Nasta et al, 2012;Yilmaz et al, 2013Yilmaz et al, , 2010. The mean saturated hydraulic conductivity was 3.5.10 -5 m/s.…”

Section: Modeling: Flow Equations and Soil Hydraulic Propertiesmentioning

confidence: 99%

Water infiltration in an aquifer recharge basin affected by temperature and air entrapment

Loizeau

Rossier

Gaudet

et al. 2017

Journal of Hydrology and Hydromechanics

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Artificial basins are used to recharge groundwater and protect water pumping fields. In these basins, infiltration rates are monitored to detect any decrease in water infiltration in relation with clogging. However, miss-estimations of infiltration rate may result from neglecting the effects of water temperature change and air-entrapment. This study aims to investigate the effect of temperature and air entrapment on water infiltration at the basin scale by conducting successive infiltration cycles in an experimental basin of 11869 m 2 in a pumping field at Crepieux-Charmy (Lyon, France). A first experiment, conducted in summer 2011, showed a strong increase in infiltration rate; which was linked to a potential increase in ground water temperature or a potential dissolution of air entrapped at the beginning of the infiltration. A second experiment was conducted in summer, to inject cold water instead of warm water, and also revealed an increase in infiltration rate. This increase was linked to air dissolution in the soil. A final experiment was conducted in spring with no temperature contrast and no entrapped air (soil initially water-saturated), revealing a constant infiltration rate. Modeling and analysis of experiments revealed that air entrapment and cold water temperature in the soil could substantially reduce infiltration rate over the first infiltration cycles, with respective effects of similar magnitude. Clearly, both water temperature change and air entrapment must be considered for an accurate assessment of the infiltration rate in basins.

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“…The need to exclude the first data points when fitting the data was likely due to the highly sorptive nature of the sampled soils. Specifically, the porous media exhibited relatively low hydraulic conductivity compared to their sorptive capacity [37]. Indeed, cumulative infiltrations exhibited a marked concave part corresponding to the transient state and a linear part at the end of the curves related to the steady state [70].…”

Section: Discussionmentioning

confidence: 99%

“…The cores were used to determine the soil bulk density, ρ b (g·cm −3 ), and the initial volumetric soil water content, θ i (m 3 ·m −3 ). According to other investigations, the saturated soil water content, θ s (m 3 ·m −3 ), was approximated by total soil porosity, determined from bulk density ρ b (e.g., [28,37,[43][44][45][46][47][48]). Soil organic matter was determined by the Walkley-Black [49] method.…”

Section: Soil Samplingmentioning

confidence: 99%

“…An alternative approach, considering different calculation techniques applied to the same dataset, is expected to facilitate the interpretation rising from the comparison [24]. Different methods of calculating K fs from single-ring data were developed over time (e.g., [10][11][12]21,[34][35][36][37]). Among them, the one ponding depth (OPD) calculation approach of Reynolds and Elrick [12] and Method 2 by Wu et al [38] (WU2) have in common with the BB method that all these approaches analyze steady-state single-ring infiltrometer data, thus considering the same part of the infiltration process [24].…”

Section: Introductionmentioning

confidence: 99%

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Comparing Transient and Steady-State Analysis of Single-Ring Infiltrometer Data for an Abandoned Field Affected by Fire in Eastern Spain

Prima

Lassabatère

Rodrigo‐Comino

et al. 2018

Water

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Abstract:This study aimed at determining the field-saturated soil hydraulic conductivity, K fs , of an unmanaged field affected by fire by means of single-ring infiltrometer runs and the use of transient and steady-state data analysis procedures. Sampling and measurements were carried out in 2012 and 2017 in a fire-affected field (burnt site) and in a neighboring non-affected site (control site). The predictive potential of different data analysis procedures (i.e., transient and steady-state) to yield proper K fs estimates was investigated. In particular, the transient WU1 method and the BB, WU2 and OPD methods were compared. The cumulative linearization (CL) method was used to apply the WU1 method. Values of K fs ranging from 0.87 to 4.21 mm·h −1 were obtained, depending on the considered data analysis method. The WU1 method did not yield significantly different K fs estimates between the sampled sites throughout the five-year period, due to the generally poor performance of the CL method, which spoiled the soil hydraulic characterization. In particular, good fits were only obtained in 23% of the cases. The BB, WU2 and the OPD methods, with a characterization based exclusively on a stabilized infiltration process, yielded an appreciably lower variability of the K fs data as compared with the WU1 method. It was concluded that steady-state methods were more appropriate for detecting slight changes of K fs in post-fire soil hydraulic characterizations. Our results showed a certain degree of soil degradation at the burnt site with an immediate reduction of the soil organic matter and a progressive increase of the soil bulk density during the five years following the fire. This general impoverishment resulted in a slight but significant decrease in the field-saturated soil hydraulic conductivity.

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Hydrodynamic Characterization of Basic Oxygen Furnace Slag through an Adapted BEST Method

Cited by 107 publications

References 37 publications

Previous Land Use Affects the Recovery of Soil Hydraulic Properties after Forest Restoration

Previous Land Use Affects the Recovery of Soil Hydraulic Properties after Forest Restoration

Water infiltration in an aquifer recharge basin affected by temperature and air entrapment

Comparing Transient and Steady-State Analysis of Single-Ring Infiltrometer Data for an Abandoned Field Affected by Fire in Eastern Spain

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