Inverse estimation of soil hydraulic properties under oil palm trees

Rashid, Nor Suhada Abd; Askari, Muhamad; Tanaka, Tadashi; Šimůnek, Jiřı́; Genuchten, Martinus Th. van

doi:10.1016/j.geoderma.2014.12.003

Cited by 37 publications

(36 citation statements)

References 65 publications

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“…For stemflow from babassu palms in an agroforestry system, preferential flow along roots was not a dominant process, probably due to the lack of secondary growth of palm roots [Germer, 2013]. For oil palms (Elaeis guineensis) that have similar forms as babassu palms, an inverse estimation of soil hydraulic properties was performed using the model HYDRUS-2D/3D [Rashid et al, 2015]. The authors found a tendency of higher infiltration rates as well as higher porosity and organic matter content but lower water content and bulk density in the top 10 cm of soil for stemflow compared to throughfall areas.…”

Section: Spatial Pattern Of Soil Moisture Preferential Flow and Submentioning

confidence: 99%

A review of stemflow generation dynamics and stemflow‐environment interactions in forests and shrublands

Levia

Germer

2015

Reviews of Geophysics

285

294

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Many geoscientists now recognize stemflow as an important phenomenon which can exert considerable effects on the hydrology, biogeochemistry, and ecology of wooded ecosystems and shrublands. Despite the explosive growth of stemflow research, until this review there has been no comprehensive attempt to summarize and synthesize this literature since 2003. Topical areas of substantive new knowledge in stemflow research include the following: (1) the interrelationships among stemflow and meteorological conditions, especially within individual rain events; (2) the dynamic interplay between stemflow and canopy structure; (3) stemflow and the cycling of solutes and transport of particulate matter; (4) stemflow and its interactions with canopy fungi and corticolous lichens; and (5) stemflow-soil interactions. Each of these five topical areas of substantive new stemflow research is summarized and synthesized, with areas of future research opportunities discussed. In addition, we have reviewed the parameters which can be used to describe stemflow and critically evaluate their utility for different purposes. This review makes a call for scientists studying stemflow to utilize common metrics in an effort to increase the cross-site comparability of stemflow studies. Capitalizing on the insights of prior research, exciting research opportunities await hydrologists, biogeoscientists, and forest ecologists who will conduct studies to deepen our knowledge of stemflow which will enable a better and more accurate framing of stemflow in the larger context of watershed hydrology and biogeochemistry.

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Section: Spatial Pattern Of Soil Moisture Preferential Flow and Submentioning

confidence: 99%

A review of stemflow generation dynamics and stemflow‐environment interactions in forests and shrublands

Levia

Germer

2015

Reviews of Geophysics

285

294

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“…Zachmann et al [11,12] were the first to study the estimation of hydraulic properties using transient flow experiments in the laboratory. Since then, studies have developed inverse methods for estimating soil hydraulic parameters using in situ or laboratory experiments and silico simulation, such as one-step outflow and multistep outflow experiments [13][14][15], and evaporation experiments [16][17][18]; studies have proposed estimation devices, such as the tension disc infiltrometer [19,20], the modified cone penetrometer [21,22], and the field multiple extraction device [23].…”

Section: Introductionmentioning

confidence: 99%

Inverse Modeling of Soil Hydraulic Parameters Based on a Hybrid of Vector-Evaluated Genetic Algorithm and Particle Swarm Optimization

Liu

Nie

et al. 2018

Water

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Abstract:The accurate estimation of soil hydraulic parameters (θ s , α, n, and K s ) of the van Genuchten-Mualem model has attracted considerable attention. In this study, we proposed a new two-step inversion method, which first estimated the hydraulic parameter θ s using objective function by the final water content, and subsequently estimated the soil hydraulic parameters α, n, and K s , using a vector-evaluated genetic algorithm and particle swarm optimization (VEGA-PSO) method based on objective functions by cumulative infiltration and infiltration rate. The parameters were inversely estimated for four types of soils (sand, loam, silt, and clay) under an in silico experiment simulating the tension disc infiltration at three initial water content levels. The results indicated that the method is excellent and robust. Because the objective function had multilocal minima in a tiny range near the true values, inverse estimation of the hydraulic parameters was difficult; however, the estimated soil water retention curves and hydraulic conductivity curves were nearly identical to the true curves. In addition, the proposed method was able to estimate the hydraulic parameters accurately despite substantial measurement errors in initial water content, final water content, and cumulative infiltration, proving that the method was feasible and practical for field application.

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“…Using numerical simulations, these authors demonstrated that the method could provide information on the hydraulic conductivity and the water retention curve. Although this multiple tension disc infiltrometer technique has been successfully employed in experimental studies (Ramos et al, 2006;Rashid et al, 2015), the long time needed to conclude a measurement may limit its use if, for instance, a large scale or intensive characterization of soils is needed. In these cases, sampling of undisturbed soil cores to be analysed in laboratory can be preferable.…”

Section: Introductionmentioning

confidence: 99%

A modified multiple tension upward infiltration method to estimate the soil hydraulic properties

Moret‐Fernández

Latorre

Peña-Sancho

et al. 2016

Hydrological Processes

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Determination of saturated hydraulic conductivity, Ks, and the shape parameters α and n of the water retention curve, θ(h), is of paramount importance to characterize the water flow in the vadose zone. This work presents a modified upward infiltration method to estimate Ks, α and n from numerical inverse analysis of the measured cumulative upward infiltration (CUI) at multiple constant tension lower boundary conditions. Using the HYDRUS‐2D software, a theoretical analysis on a synthetic loam soil under different soil tensions (0, 0–10, 0–50 and 0–100 cm), with and without an overpressure step of 10 cm high from the top boundary condition at the end of the upward infiltration process, was performed to check the uniqueness and the accuracy of the solutions. Using a tension sorptivimeter device, the method was validated in a laboratory experiment on five different soils: a coarse and a fine sand, and a 1‐mm sieved loam, clay loam and silt‐gypseous soils. The estimated α and n parameters were compared to the corresponding values measured with the TDR‐pressure cell method. The theoretical analysis demonstrates that Ks and θ(h) can be simultaneously estimated from measured upward cumulative infiltration when high (>50 cm) soil tensions are initially applied at the lower boundary. Alternatively, satisfactory results can be also obtained when medium tensions (<50 cm) and the Ks calculated from the overpressure step at the end of the experiment are considered. A consistent relationship was found between the α (R2 = 0.86, p < 0.02) and n (R2 = 0.97, p < 0.001) values measured with the TDR‐pressure cell and the corresponding values estimated with the tension sorptivimeter. The error between the α (in logarithm scale) and n values estimated with the inverse analysis and the corresponding values measured with pressure chamber were 3.1 and 6.1%, respectively. Copyright © 2016 John Wiley & Sons, Ltd.

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Inverse estimation of soil hydraulic properties under oil palm trees

Cited by 37 publications

References 65 publications

A review of stemflow generation dynamics and stemflow‐environment interactions in forests and shrublands

A review of stemflow generation dynamics and stemflow‐environment interactions in forests and shrublands

Inverse Modeling of Soil Hydraulic Parameters Based on a Hybrid of Vector-Evaluated Genetic Algorithm and Particle Swarm Optimization

A modified multiple tension upward infiltration method to estimate the soil hydraulic properties

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