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Provedor de dados:  CIGR Journal
País:  China
Título:  Assessing saturated hydraulic conductivity from the dielectrically-predicted dry bulk density
Autores:  WIJAYA, Krissandi
Kuncoro, Purwoko Hari
Nishimura, Taku
Setiawan, Budi Indra
Data:  2020-10-12
Ano:  2020
Resumo:  Direct measurement of saturated hydraulic conductivity (Ks) and dry bulk density (rb) is often laborious, time consuming, and expensive. Predicted dry bulk density (rb-ADR) using Amplitude Domain Reflectometry (ADR) probe has been employed to predict saturated hydraulic conductivity (Ks_ADR) after a slight modification on the previously available Non-Similar Media Concept (NSMC) model. All the predicted values were validated using the corresponding measured data of 108 undisturbed samples for each of 0-15 and 15-30 cm soil depths observed. The proposed “Dielectric NSMC” model could describe rb_ADR dependencies of Ks_ADR better than the other proceeding models for the both ranges of soil depths observed. The proposed model tended to slightly underestimate the measured saturated hydraulic conductivity (Ks_meas) as implied from the negative value of mean difference (MD). The scattering pattern of data which was well supported by the small value of Root Mean Square Error (RMSE) and Relative Deviation to Average Measured Data (rRSME), however, suggested a small deviation of the Ks_ADR from the Ks_meas. Thus, the proposed model was considerably sufficient for characterizing rb_ADR dependencies of Ks_ADR. Effectiveness and practical merit of the rb_ADR prediction rather than the conventional direct measurement of rb, in particular, might promote a certain advantage for smoother fitting parameters.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.cigrjournal.org/index.php/Ejounral/article/view/5813
Editor:  International Commission of Agricultural and Biosystems Engineering
Relação:  http://www.cigrjournal.org/index.php/Ejounral/article/view/5813/3361
Formato:  application/pdf
Fonte:  Agricultural Engineering International: CIGR Journal; Vol. 22 No. 3 (2020): CIGR Journal; 43-50

1682-1130
Direitos:  Copyright (c) 2020 Agricultural Engineering International: CIGR Journal
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