Pedotransfer functions: State of the art, problems, and outlooks

Шеин, Е. В.; Arkhangelskaya, T. A.

doi:10.1134/s1064229306100073

Cited by 30 publications

(13 citation statements)

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“…The a parameter is the one inverse proportional to the pressure of the air entering the soil, i.e., the barbotage pressure, and the parameter n characterizes the slop ing angle of the WRC curve. With the known approximation parameters and their statistics (mean square errors of the parameters), we may compare the studied objects qualitatively [10]. For the corresponding approximation parameters (e.g., a ' and a") in various samplings, we may calcu late the ^-criterion by the following equation:…”

Section: Resultsmentioning

confidence: 99%

“…© Д л и н а тр а н ш еи , м In recent decades, the calculation approach has been used for obtaining various hydrophysical func tions. It was suggested to calculate the so-called pedotransfer functions, i.e., the dependences between the WRC and the fundamental soil properties, which are known from soil surveys and are stored in databases [10,12]. At present, pedotransfer functions are widely used both in regional soil hydrology and for compila tion of hydrological maps of different scales.…”

Section: Introductionmentioning

confidence: 99%

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Soil water retention curve of agrogray soils: Influence of anisotropy and the scaling factor

2014

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Abstract-The soil water characteristic or soil water retention curve (WRC) of m edium -loam y gray forest soil horizons was studied in cylinder-shaped samples of disturbed and undisturbed structure. The sample height varied w ithin 2-4 cm and the diam eter w ithin 4.5-10 cm. The soil m onoliths were sampled in three profiles: vertically, along the slope, and across the slope in accordance w ith the intrasoil paleorelief form ed by the funnel-shaped surface of the second hum us horizon. The experim ental W RC were approxim ated w ith the van G enuchten equation. The statistical analysis of the W Rc approxim ation param eters proved to differ signifi cantly in filled soil samples and m onoliths, and a num ber of param eters differ for samples of the maximal height and diameter. T he reliable differences of the param eters were also noted for the different sampling directions, m ost often, for those across the paleorelief slope. The noted variation in the W RC approxim ation param eters may substantially influence the predictive estim ation of the spring water reserve for example. This fact suggests the necessity to strictly indicate the sampling procedure, in particular, w ith respect to the soil profile, the asymmetry in the soil properties, and the sample sizes (scaling factor) used for analyzing the hydrological properties of structured soils.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Soil water retention curve of agrogray soils: Influence of anisotropy and the scaling factor

2014

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“…This is quite logical and understandable. R. Hamming, one of the founders of cybernetics and informatics, wrote, "The purpose of computing is insight, not numbers" [10,11]. Therefore, the further understanding of soil processes is related to the development of physically based models.…”

Section: Introductionmentioning

confidence: 99%

Physically based mathematical models in soil science: History, current state, problems, and outlook (Analytical Review)

Шеин

2015

Eurasian Soil Sc.

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The formation, development, and some problems of the current physically based models of water and solute transfer are considered in this review. These models appeared about a half century ago. They were based on the basic laws of soil physics and other branches of soil science (laws of balance, transfer, diffusion, hydrodynamic dispersion, etc.) described by the corresponding equations and programs and supported by the experimental data in the form of physically based parameters. At present, one of the main problems in the development, adaptation, and application of these models is that the current and future mathematical models should rest upon the experimental support with a clear physical basis characterizing the nature of the phe nomenon described. This experimental support enables creating research models, drawing conceptual con clusions, and, hence, understanding, analyzing, and managing soil processes. This is apparently possible only if the set of methods for the experimental support of models is substantiated, preferably in direct physical experiments and under field conditions close to the future model prognoses.

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“…Later, Shein & Arkhangel'skaya (2006) analyzed the potential, state of the art, and outlook of using PTFs in soil science. McBratney et al (2002) reported that the estimation of soil water retention constitutes the most comprehensive research topic in development of PTFs.…”

Section: Introductionmentioning

confidence: 99%

Pedotransfer functions to predict water retention for soils of the humid tropics: a review

Botula

Ranst

Cornelis

2014

Rev. Bras. Ciênc. Solo

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SUMMARYOver the past three decades, pedotransfer functions (PTFs) have been widely used by soil scientists to estimate soils properties in temperate regions in response to the lack of soil data for these regions. Several authors indicated that little effort has been dedicated to the prediction of soil properties in the humid tropics, where the need for soil property information is of even greater priority. The aim of this paper is to provide an up-to-date repository of past and recently published articles as well as papers from proceedings of events dealing with water-retention PTFs for soils of the humid tropics. Of the 35 publications found in the literature on PTFs for prediction of water retention of soils of the humid tropics, 91 % of the PTFs are based on an empirical approach, and only 9 % are based on a semiphysical approach. Of the empirical PTFs, 97 % are continuous, and 3 % (one) is a class PTF; of the empirical PTFs, 97 % are based on multiple linear and polynomial regression of n th order techniques, and 3 % (one) is based on the k-Nearest Neighbor approach; 84 % of the continuous PTFs are point-based, and 16 % are parameter-based; 97 % of the continuous PTFs are equation-based PTFs, and 3 % (one) is based on pattern recognition. Additionally, it was found that 26 % of the tropical water-retention PTFs were developed for soils in Brazil, 26 % for soils in India, 11 % for soils in other countries in America, and 11 % for soils in other countries in Africa.Index terms: physical soil properties, soil hydraulic properties, tropical soils, data-mining techniques.( Durante as últimas três décadas, as funções de pedotransferência (FPTs) foram amplamente utilizadas pelos cientistas para estimar propriedades de solos em regiões temperadas para responder à falta de banco de dados deles. Diferentes autores indicaram que poucos esforços foram dedicados à estimação de propriedades de solo nos trópicos úmidos, onde a necessidade de informações sobre as propriedades dos solos é ainda mais prioritária. Este artigo buscou proporcionar um inventário atualizado dos artigos, assim como trabalhos publicados recentemente em anais de congressos sobre FPTs com retenção de água para solos nos trópicos úmidos. Entre 35 publicações encontradas na literatura sobre as FPTs para a estimação da retenção de água dos solos nos trópicos úmidos, 91 % dos FPTs estão com base num enfoque empírico e somente 9 %, num enfoque semifísico. Das FPTs empíricas, 97 % são contínuas e 3 % (uma) é uma classe. Das FPTs empíricas, 97 % são com base em regressão multilinear e polinomial de n técnicas de ordenamento e 3 % (uma), no método k-NN; 84 % das FPTs contínuas são com base em pontos e 16 %, em parâmetros; 97 % das FPTs contínuas são baseadas em equação e 3 % (uma), no reconhecimento padrão. Adicionalmente, foi encontrado que 26 % das FPTs da retenção de água "tropical" foram desenvolvidas para solos no Brasil; 26 % , na Índia; 11 %, em outros países na América; e 11 %, em outros países na África.Termos de indexação: meteorização de solos, sol...

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Pedotransfer functions: State of the art, problems, and outlooks

Cited by 30 publications

References 43 publications

Soil water retention curve of agrogray soils: Influence of anisotropy and the scaling factor

Soil water retention curve of agrogray soils: Influence of anisotropy and the scaling factor

Physically based mathematical models in soil science: History, current state, problems, and outlook (Analytical Review)

Pedotransfer functions to predict water retention for soils of the humid tropics: a review

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