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1
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
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Prediction of CEC using fractal parameters by artificial neural networks

100%
Bayat H., Davatgar N., Jalali M.
International Agrophysics
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2014
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tom 28
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nr 2
The prediction of cation exchange capacity from readily available soil properties remains a challenge. In this study, firstly, we extended the entire particle size distribution curve from limited soil texture data and, at the second step, calculated the fractal parameters from the particle size distribution curve. Three pedotransfer functions were developed based on soil properties, parameters of particle size distribution curve model and fractal parameters of particle size distribution curve fractal model using the artificial neural networks technique. 1 662 soil samples were collected and separated into eight groups. Particle size distribution curve model parameters were estimated from limited soil texture data by the Skaggs method and fractal parameters were calculated by Bird model. Using particle size distribution curve model parameters and fractal parameters in the pedotransfer functions resulted in improvements of cation exchange capacity predictions. The pedotransfer functions that used fractal parameters as predictors performed better than the those which used particle size distribution curve model parameters. This can be related to the non-linear relationship between cation exchange capacity and fractal parameters. Partitioning the soil samples significantly increased the accuracy and reliability of the pedotransfer functions. Substantial improvement was achieved by utilising fractal parameters in the clusters.
2
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Analysis of the sorption properties of different soils using water vapour adsorption and potentiometric titration methods

100%
Skic K., Boguta P., Sokolowska Z.
International Agrophysics
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2016
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tom 30
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nr 3
3
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Long-term effects of tillage and fertilization on pH and sorption parameters of haplic Luvisol

84%
Simansky V., Kovacik P.
Journal of Elementology
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2015
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tom 20
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nr 4
The influence of different tillage and fertilization practices on changes in soil pH and sorptive parameters of loamy haplic Luvisol was evaluated in a long-term field experiment (established in 1994, in the locality of Dolná Malanta, at the experimental station of the Slovak University of Agriculture in Nitra). The field experiment included two types of soil tillage (conventional tillage – CT and reduced tillage – RT) and also three treatments of fertilization (1. Co – control, 2. PR+NPK – crop residues together with added NPK fertilizers, and 3. NPK – with added NPK fertilizers). The soil was sampled from all treatment sites throughout 1994-2011. The results showed a statistically significant influence of tillage and fertilization on pH and sorptive complex of haplic Luvisol. The values of pH were higher (by 4%) in RT than in CT. The sum of basic cations (SBC), cation exchangeable capacity (CEC) and base saturation (BS) were all higher in RT, by 11%, 8% and 3% respectively, than in CT. In NPK (by 16%) and in PR+NPK (by 20%) the values of hydrolytic acidity (Ha) were decreased in comparison to the control. On the other hand, SBC was elevated. This led to the increase of CEC and BS. Conventional tillage and application of crop residues together with NPK fertilizers increased pH by 0.06 and 0.03 units per year, respectively, which means that the pH in the soil increased by14% and 8%, correspondingly, between 1994 and 2011. In CT and in PR+NPK, an increase of SBC occurred at an average rate of 3.17 and 1.93 mmol kg-1 year-1, respectively. A positive correlation between the content of soil organic carbon (TOC) and Ha (r = 0.334, P ≤ 0.01, n = 54), as well as a negative correlation between TOC and BS (r = -0.307, P ≤ 0.05, n = 54) were determined only in CT.
4

Assessment of suitability of various models for estimating cation exchange capacity [CEC]

84%
Gruszczynski S.
Polish Journal of Soil Science
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2009
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tom 42
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nr 1
15-29
The paper presents a comparison of several empirical models used to determine cation exchange capacity (CEC) and base saturation (BS). CEC and BS determinations in mineral soils in southern Poland have been used in comparisons of individual models. The soils represented different valuation classes and differed in their typology. The following models were used: multiple regression, polynomial neural network and fuzzy-neural network (ANFIS). Models used for comparative purposes represent pedotransfer functions (PTF), developed for various climate conditions using various analytic methods. The processed results were compared with the modelling results based on observational data analysis. Relatively low applicability has been found for models based on data for other climate conditions and other analytical methods in terms of accurate CEC determination.
5

State of soil sorption complex in substitute stands under decreased air-pollution load in submontane conditions of the Podkrkonosi Region

67%
Vranova V., Samec P.
Electronic Journal of Polish Agricultural Universities. Series: Forestry
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2005
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tom 08
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nr 1
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