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    Wyświetlanie 1-12 z 12
    Tytuł:
    Relationship between van Genuchtens parameters of the retention curve equation and physical properties of soil solid phase
    Autorzy:
    Porebska, D.
    Slawinski, C.
    Lamorski, K.
    Walczak, R.T.
    Powiązania:
    https://bibliotekanauki.pl/articles/24404.pdf
    Data publikacji:
    2006
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    pedotransfer function
    van Genuchten parameter
    soil water
    relationship
    retention curve equation
    physical property
    soil
    water retention curve
    water stress
    plant
    Źródło:
    International Agrophysics; 2006, 20, 2
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Pedotransfer function capability to simulate behaviour of smectitic soils in estimation of various soil water retention curve models
    Zdolność funkcji pedotransferowych do symulowania zachowania gleb smektytowych w modelach krzywej retencji wodnej gleb
    Autorzy:
    Zadeh, G.E.
    Bayat, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/906252.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Opis:
    For modelling the flow transport in unsaturated conditions, we can use hydraulic properties which are expensive and time-consuming to be obtained directly because of high variability and complexity of soil systems. Few studies have been done about pedotransfer functions (PTFs) in smectitic soils. Moreover, the utility of fractal parameters in the prediction of soil water retention curve (SWRC) have not been investigated in these soils. In this study, PTFs have been made for estimating the parameters of van Genuchten (VG) and Dexter models by regression and artificial neural networks methods. Therefore, 69 soil samples were collected from Guilan Province, Iran. Fractal and non-fractal models were fitted to the particle size distribution (PSD) and micro-aggregate size distribution (ASD) and their parameters were calculated. To create PTFs, the parameters of PSD and ASD models were used as estimators. The comparison of the results of the two models of Dexter and VG shows the priority of Dexter model for the purpose of testing of smectitic soils. The results showed the superiority of Fredlund et al. PSD model parameters and fractal parameters of ASD, in the estimation of Dexter and VG SWRC models, respectively. This outcome may be related to the higher accuracy of Fredlund et al. PSD model in the description of the PSD data in the clayey soils. However, the higher number of parameters in comparison to the number of fractal model parameters may be another reason.
    Źródło:
    Polish Journal of Soil Science; 2012, 45, 2
    0079-2985
    Pojawia się w:
    Polish Journal of Soil Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of CEC using fractal parameters by artificial neural networks
    Autorzy:
    Bayat, H.
    Davatgar, N.
    Jalali, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/25675.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    cation exchange capacity
    prediction
    fractal structure
    fractal theory
    particle size distribution
    artificial neural network
    pedotransfer function
    Opis:
    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.
    Źródło:
    International Agrophysics; 2014, 28, 2
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Preliminary investigation to estimate soil NAPL retention using parametric pedotransfer functions
    Autorzy:
    Hernadi, H.
    Mako, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/24805.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    pressure-saturation relationship
    soil property
    soil
    non-aqueous phase liquid
    retention
    pedotransfer function
    hydraulic characteristics
    van Genuchten method
    Opis:
    Organic liquid retention of soils is a primary input variable for modelling the nonaqueous phase liquid transport and behaviour in the subsurface. In environmental and soil physical practice, it is mainly determined by scaling based on the water retention of soils or with charts of average empirical values of organic liquid retention or the fitting parameters of hydraulic functions. Predicting the fitting parameters of organic liquid retention curves with pedotransfer functions might be a promising alternative method, but this topic has only been researched to a limited extent. Thus we investigated the applicability of different hydraulic functions (3- and 4- parameter form of the van Genuchten equation and Brutsaert equation) for fitting organic liquid retention characteristics. Multivariate linear regression was used to build and develop pedotransfer functions, modelling relations between original and transformed values of basic soil properties and organic liquid retention. We attempted to generate parametric pedotransfer functions. According to our results, the applicability of hydraulic functions for fitting nonaqueous phase liquid retention curves to the experimental data was proven. The investigations gave promising results for the possibility to estimate soil nonaqueous phase liquid retention with parametric pedotransfer functions.
    Źródło:
    International Agrophysics; 2014, 28, 4
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessment of the possibility of applying selected pedotransfer functions for indicating the retention of forest soils in Poland
    Ocena możliwości zastosowania wybranych funkcji pedotransfer do wyznaczania retencji gleb leśnych w Polsce
    Autorzy:
    Hewelke, P.
    Hewelke, E.
    Cholast, S.
    Zakowicz, S.
    Lesak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/887209.pdf
    Data publikacji:
    2017
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
    Tematy:
    soil
    forest soil
    soil moisture content
    pedotransfer function
    water retention
    matrix potential
    Polska
    Opis:
    Assessment of the possibility of applying selected pedotransfer functions for indicating the retention of forest soils in Poland. Landscape retention influences the water balance of a catchment and the course of flooding events. The degree of retention capabilities of forest soils are much less known than the retention of land used for agriculture. Soil retention capacity influences the formation of a given forest habitat type, floristic species composition, as well as the type and quality of the stand of trees. The analysis was carried out for a regression model dedicated to selected forest soils within the area of Poland, as well as van Genuchten’s and Wösten’s, and Varallyay’s and Mironienko’s models. In order to assess the fit of the models, an independent series of forest soils were used. The models prepared for soils used for agricultural purposes do not result in statistically acceptable fit when it comes to the analyzed forest soils. The analysis of measured and calculated values of total available water indicate good fit of the regression model developed for the analyzed group of podzolic and brown forest soils.
    Ocena możliwości zastosowania wybranych funkcji pedotransfer do wyznaczania retencji gleb leśnych w Polsce. Retencja gleb leśnych w znacznym stopniu decyduje o bilansie wodnym zlewni i przebiegu zjawisk hydrologicznych, wpływa na kształtowanie się określonego typu siedliska lasu, skład florystyczny i jakość drzewostanu. Zdolności retencyjne gleb leśnych są znacznie mniej rozpoznane niż retencja gleb użytkowanych rolniczo. Retencja może być wyznaczona zarówno metodą bezpośrednią, jak i pośrednio za pomocą tzw. funkcji pedotransfer opisującej jej związek z określonymi właściwościami fizycznymi gleby. Analizę prowadzono dla modelu regresyjnego opracowanego dla wybranych gleb leśnych z obszaru Polski oraz dla modeli van Genuchtena i Wöstena oraz Varallyaya i Mironienki. Do oceny dopasowania modeli zastosowano niezależną serię gleb leśnych. Analiza pomierzonych i obliczonych wartości potencjalnej retencji użytecznej wskazuje na dobre dopasowanie modelu regresyjnego opracowanego dla badanej grupy gleb leśnych bielicowych i brunatnych. Modele opracowane dla gleb użytkowanych rolniczo nie dają akceptowalnego statystycznie dopasowania dla analizowanych gleb leśnych. Przeprowadzone badania potwierdzają lokalny charakter funkcji pedotransfer.
    Źródło:
    Scientific Review Engineering and Environmental Sciences; 2017, 26, 3[77]
    1732-9353
    Pojawia się w:
    Scientific Review Engineering and Environmental Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of different models for predicting soil bulk density.Case study – Slovakian agricultural soils
    Autorzy:
    Makovníková, Jarmila
    Širáň, Miloš
    Houšková, Beata
    Pálka, Boris
    Jones, Arwyn
    Powiązania:
    https://bibliotekanauki.pl/articles/972829.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    soil bulk density
    pedotransfer function
    texture
    soil carbon content
    Opis:
    Soil bulk density is one of the main direct indicators of soil health, and is an important aspect of models for determining agroecosystem services potential. By way of applying multi-regression methods, we have created a distributed prediction of soil bulk density used subsequently for topsoil carbon stock estimation. The soil data used for this study were from the Slovakian partial monitoring system-soil database. In our work, two models of soil bulk density in an equilibrium state, with different combinations of input parameters (soil particle size distribution and soil organic carbon content in %), have been created, and subsequently validated using a data set from 15 principal sampling sites of Slovakian partial monitoring system-soil, that were different from those used to generate the bulk density equations. We have made a comparison of measured bulk density data and data calculated by the pedotransfer equations against soil bulk density calculated according to equations recommended by Joint Research Centre Sustainable Resources for Europe. The differences between measured soil bulk density and the model values vary from -0.144 to 0.135 g cm-3 in the verification data set. Furthermore, all models based on pedotransfer functions give moderately lower values. The soil bulk density model was then applied to generate a first approximation of soil bulk density map for Slovakia using texture information from 17 523 sampling sites, and was subsequently utilised for topsoil organic carbon estimation.
    Źródło:
    International Agrophysics; 2017, 31, 4; 491-498
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of soil texture determination using soil fraction data resulting from laser diffraction method
    Autorzy:
    Mako, A.
    Szabo, B.
    Rajkai, K.
    Szabo, J.
    Bakacsi, Z.
    Labancz, V.
    Hernadi, H.
    Barna, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/2082643.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    laser diffraction
    particle-size distribution
    pedotransfer function
    soil texture triangle
    Opis:
    There are global aspirations to harmonize soil particle- size distribution data measured by the laser diffraction method and by traditional sedimentation techniques, e.g. sieve-pipette methods. The need has arisen therefore to build up a database, containing particle-size distribution values measured by the sieving and pipette method according to the Hungarian standard (sieve-pipette methods-MSZ) and the laser diffraction method according to a widespread and widely used procedure. In our current publication, 155 soil samples measured with sieve-pipette methods-MSZ and laser diffraction method (Malvern Mastersizer 2000, HydroG dispersion unit) were compared. Through the application of the usual size limits at the laser diffraction method, the clay fraction was under- and the silt fraction was overestimated compared to the sieve-pipette methods-MSZ results, and subsequently the soil texture classes were determined according to the results of both methods also differed significantly from each other. Based on our previous experience, the extension of the upper size limit of the clay fraction from 2 to 7 μm increases the comparability of sievepipette methods-MSZ and laser diffraction method, in this way the texture classes derived from the particle-size distributions were also more in accordance with each other. The difference between the results of the two kinds of particle-size distribution measurement methods could be further reduced with the pedotransfer functions presented.
    Źródło:
    International Agrophysics; 2019, 33, 4; 445-454
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    New pedotransfer function (“CRC”) for the prediction of unsaturated soil hydraulic conductivity using soil water retention data
    Autorzy:
    Bohne, K.
    Renger, M.
    Wessolek, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/2082651.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    soil texture
    hydraulic conductivity
    transfer
    function
    soil water retention
    Opis:
    Several review articles have emphasized, that a comprehensive set of pedotransfer functions may be applied throughout a wide range of disciplines of Earth system sciences and are of great importance for land surface models. Most pedotransfer functions deducing soil hydraulic data from nonhydraulic soil data such as soil texture and bulk density, yield soil water retention predictions, but do not provide information concerning soil hydraulic conductivity. For this reason, a simple method was developed to estimate soil hydraulic conductivity using soil water retention information. Empirical equations are established to predict soil hydraulic conductivity from soil water retention information. These equations are relatively straightforward and do not require the fitting of nonlinear functions. Predictions of soil hydraulic conductivity using 106 soil samples indicates the reliable performance of the new method. The prediction quality of the new method was estimated from the calibration data set, which produced equivalent results to the Zacharias and Wessolek pedotransfer function, which were even better than the predictions obtained from the original Mualem-van Genuchten model, the Soto fractal model, and the pedotransfer function reported by Weynants and Vereecken. The stochastic structure of the calibration data reflects the presence of important soil structural properties, which are not represented by the soil water retention characteristics.
    Źródło:
    International Agrophysics; 2019, 33, 4; 503-510
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Szacowanie gęstości objętościowej gleb górskich na podstawie zawartości węgla organicznego
    Estimation of bulk density of the mountain soils from the organic carbon content
    Autorzy:
    Kabała, C.
    Gałka, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/985683.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    gleboznawstwo
    gleby gorskie
    gleby lesne
    zawartosc wegla organicznego
    gestosc objetosciowa
    szacowanie
    forest soils
    mountain soils
    bulk density
    pedotransfer function
    organic carbon
    Opis:
    The missing data on bulk density make impossible the calculations of soil water retention, organic carbon pools and evaluation of the numerical indices of soil and forest habitat fertility and potential productivity. A common reason of skipping of bulk density measurement is the high content of rock fragments in soil, in particular in the subsoil layers, that may hamper the collection of samples with undisturbed soil structure. The aim of present study was to analyse the relationships between bulk density and basic properties of mountain soils, where the problem of high skeleton content is relatively common, selection of the properties of the largest impact on the soil bulk density, and the fitting of the mathematical model (equation) that allows the prediction of soil bulk density at the highest available statistical significance. Forest soils in the Sudeten Mountains and the Sudeten Foreland, SW Poland (total number of samples N=580), situated on various bedrocks (granite, basalts, gneiss, mica schists, sandstones, mudstones, etc.) were selected to analysis. It was found in those soils featured by large variability of soil texture (the range of clay content 0−40%), skeleton content (0−74%), and organic carbon content (0.09−50%) in the soil profile, that the bulk density (having the values 0.10−1.87 g/cm3 in mineral layers and 0.04−0.58 g/cm3 in organic/litter layers) was individually correlated with the organic carbon content, skeleton content, clay content, and the depth of sampling (depth of particular soil layer), but the multifactor analysis has shown, that the organic carbon content has the highest impact on the bulk density and the organic carbon alone is sufficient for reliable prediction of soil bulk density. The best fitting of the measured and predicted bulk densities (R2=0.83) was provided by ‘dose−response’ Hill model: dv=1.72–[(2.36·Corg0.6)/(13.80.6+Corg0.6)], that returned dv values between 0.10 and 1.72 g/cm3 in a range of Corg content between 50 and 0%.
    Źródło:
    Sylwan; 2019, 163, 04; 320-327
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Pedotransfer functions for predicting tropical soil water retention: A case study in upper Citarum watershed, Indonesia
    Autorzy:
    Mulyono, Asep
    Suriadikusumah, Abraham
    Harryanto, Rachmat
    Djuwansah, Muhammad R.
    Powiązania:
    https://bibliotekanauki.pl/articles/292735.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    matric potential
    pedotransfer
    soil water retention
    upper citarum watershed
    Opis:
    Tropical regions such as Java, Indonesia, still lack publication of soil water retention (SWR) information, particularly at upper Citarum watershed. The SWR is one of the critical elements in water storage and movement in the soil and very important to solve ecological and environmental problems. However, getting the access requires a lot of laboratory measurement that is time-consuming and expensive. Therefore, utilizing pedotransfer functions (PTFs) to estimate the water in the soil is needed. This study aims to define soil properties related to the SWR and to evaluate the performance of existing PTFs in predicting SWR. The study was carried out at agroforestry land system soil at upper Citarum watershed, Indonesia. Ten point and two continuous existing PTFs developed for tropical regions were applied in this study. Pearson's correlation (r), mean error (ME), root mean square error (RMSE), and modelling efficiency (EF) were used for evaluation. Cation exchange capacity (CEC), organic carbon (OC), bulk density (BD), and clay were considered as potential soil properties for soil water retention prediction. The performance of PTFs by MINASNY, HARTEMINK [2011] at matric potential of –10 kPa and BOTULA [2013] at matric potential of –33 kPa and –1500 kPa were recommended for point PTFs, while PTFs by HODNETT, TOMASELLA [2002] was for continuous PTFs in predicting SWR. The accuracy of the point PTFs is almost better than the continuous PTFs in predicting SWR in agroforestry land system soil at upper Citarum watershed, Indonesia.
    Źródło:
    Journal of Water and Land Development; 2020, 45; 76-85
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Development of pedotransfer functions for predicting soil bulk density : a case study in Indonesian small island
    Autorzy:
    Yanti, Evi Dwi
    Mulyono, Asep
    Djuwansah, Muhammad Rahman
    Narulita, Ida
    Putra, Risandi Dwirama
    Surinati, Dewi
    Powiązania:
    https://bibliotekanauki.pl/articles/2048512.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    bulk density
    multiple linear regression
    pedotransfer function
    soil property
    Opis:
    Unlike many other countries, tropical regions such as Indonesia still lack publications on pedotransfer functions (PTFs), particularly ones dedicated to the predicting of soil bulk density. Soil bulk density affects soil density, porosity, water holding capacity, drainage, and the stock and flux of nutrients in the soil. However, obtaining access to a laboratory is difficult, time-consuming, and costly. Therefore, it is necessary to utilise PTFs to estimate soil bulk density. This study aims to define soil properties related to soil bulk density, develop new PTFs using multiple linear regression (MLR), and evaluate the performance and accuracy of PTFs (new and existing). Seven existing PTFs were applied in this study. For the purposes of evaluation, Pearson’s correlation (r), mean error (ME), root mean square error (RMSE), and modelling efficiency (EF) were used. The study was conducted in five soil types on Bintan Island, Indonesia. Soil depth and organic carbon (SOC) are soil properties potentially relevant for soil bulk density prediction. The ME, RMSE, and EF values were lower for the newly developed PTFs than for existing PTFs. In summary, we concluded that the newly developed PTFs have higher accuracy than existing PTFs derived from literature. The prediction of soil bulk density will be more accurate if PTFs are applied directly in the area that is to be studied.
    Źródło:
    Journal of Water and Land Development; 2021, 51; 181-187
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-12 z 12

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