Efficiency Of Pedotransfer Functions Describing Cadmium Sorption In Soils

Horn, Andreas; Reiher, Wolfgang; DαRing, R. A.; Gäth, Stefan

doi:10.1007/s11270-005-9003-z

Cited by 13 publications

(8 citation statements)

References 34 publications

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“…In this respect, Koestel and Jorda (2014, n = 558) found that the relative 5% arrival time was strongly dependent on the clay content in a nonlinear fashion. Strong preferential flow was observed for clay contents above 10% but not below this threshold, which roughly coincides with the clay content necessary to form stable soil macrostructures (Horn et al, 2006). Furthermore, the water saturation is fundamental for estimating preferential flow strengths (Jarvis, 2007;Larsbo et al, 2014;Paradelo et al, 2016).…”

Section: Hydraulic Parameterization Of Solute Transportmentioning

confidence: 75%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

415

297

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Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to complex knowledge rules that relate available soil information to soil properties and variables that are needed to parameterize soil processes. In this paper, we review the existing PTFs and document the new generation of PTFs developed in the different disciplines of Earth system science. To meet the methodological challenges for a successful application in Earth system modeling, we emphasize that PTF development has to go hand in hand with suitable extrapolation and upscaling techniques such that the PTFs correctly represent the spatial heterogeneity of soils. PTFs should encompass the variability of the estimated soil property or process, in such a way that the estimation of parameters allows for validation and can also confidently provide for extrapolation and upscaling purposes capturing the spatial variation in soils. Most actively pursued recent developments are related to parameterizations of solute transport, heat exchange, soil respiration, and organic carbon content, root density, and vegetation water uptake. Further challenges are to be addressed in parameterization of soil erosivity and land use change impacts at multiple scales. We argue that a comprehensive set of PTFs can be applied throughout a wide range of disciplines of Earth system science, with emphasis on land surface models. Novel sensing techniques provide a true breakthrough for this, yet further improvements are necessary for methods to deal with uncertainty and to validate applications at global scale.

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Section: Hydraulic Parameterization Of Solute Transportmentioning

confidence: 75%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

415

297

View full text Add to dashboard Cite

show abstract

“…These indirect relationships have previously been explored in pedotransfer functions (PTFs) [28]. For instance [63,64] demonstrated that various PTFs can be used to predict the adsorption of metals as a function of soil carbon content, CEC and pH. Furthermore, Choe et al (2008) [65] proposed a binding mechanism based on the surface complex model where metals can bind to the hydroxylated mineral surface thus affecting the absorptions characteristic for Fe, Al, Mn oxides and clay minerals or organic matter.…”

Section: Discussionmentioning

confidence: 99%

Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

et al. 2017

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Abstract:The study tested a data mining engine (PARACUDA ® ) to predict various soil attributes (BC, CEC, BS, pH, C org , Pb, Hg, As, Zn and Cu) using reflectance data acquired for both optical and thermal infrared regions. The engine was designed to utilize large data in parallel and automatic processing to build and process hundreds of diverse models in a unified manner while avoiding bias and deviations caused by the operator(s). The system is able to systematically assess the effect of diverse preprocessing techniques; additionally, it analyses other parameters, such as different spectral resolutions and spectral coverages that affect soil properties. Accordingly, the system was used to extract models across both optical and thermal infrared spectral regions, which holds significant chromophores. In total, 2880 models were evaluated where each model was generated with a different preprocessing scheme of the input spectral data. The models were assessed using statistical parameters such as coefficient of determination (R 2 ), square error of prediction (SEP), relative percentage difference (RPD) and by physical explanation (spectral assignments). It was found that the smoothing procedure is the most beneficial preprocessing stage, especially when combined with spectral derivation (1st or 2nd derivatives). Automatically and without the need of an operator, the data mining engine enabled the best prediction models to be found from all the combinations tested. Furthermore, the data mining approach used in this study and its processing scheme proved to be efficient tools for getting a better understanding of the geochemical properties of the samples studied (e.g., mineral associations).

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“…Pedotransfer functions estimating the parameters m and b might be useful in estimating C np specific for a given soil with defined soil properties. Pedotransfer functions are physical‐mathematical models, which in the absence of direct measurements, allow estimating of, e.g., soil hydraulic properties (Fila et al, 2006) or soil sorption properties for nutrients (Borggaard et al, 2004), or metals (Horn et al, 2006) from soil data. Pedotransfer functions represent a valuable tool for providing agro‐ecological models with soil input estimations (Fila et al, 2006).…”

Section: Methodsmentioning

confidence: 99%

Sorption and Fractionation of Dissolved Organic Matter and Associated Phosphorus in Agricultural Soil

et al. 2007

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Mobility of dissolved organic matter (DOM) strongly affects the export of nitrogen (N) and phosphorus (P) from soils to surface waters. To study the sorption and mobility of dissolved organic C and P (DOC, DOP) in soil, the pH-dependent sorption of DOM to samples from Ap, EB, and Bt horizons from a Danish agricultural Humic Hapludult was investigated and a kinetic model applicable in fieldscale models tested. Sorption experiments of 1 to 72 h duration were conducted at two pH levels (pH 5.0 and 7.0) and six initial DOC concentrations (0-4.7 mmol L 21 ). Most sorption/desorption occurred during the first few hours. Dissolved organic carbon and DOP sorption decreased strongly with increased pH and desorption dominated at pH 7, especially for DOC. Due to fractionation during DOM sorption/ desorption at DOC concentrations up to 2 mmol L 21 , the solution fraction of DOM was enriched in P indicating preferred leaching of DOP. The kinetics of sorption was expressed as a function of how far the solution DOC or DOP concentrations deviate from "equilibrium."The model was able to simulate the kinetics of DOC and DOP sorption/ desorption at all concentrations investigated and at both pH levels making it useful for incorporation in field-scale models for quantifying DOC and DOP dynamics.

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Efficiency Of Pedotransfer Functions Describing Cadmium Sorption In Soils

Cited by 13 publications

References 34 publications

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine

Sorption and Fractionation of Dissolved Organic Matter and Associated Phosphorus in Agricultural Soil

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