Consulta: subjectFacets:"Soil physical quality indicator"
Registros recuperados: 2
Data/hora: 12/06/2024 01:27:32

SPATIAL VARIABILITY OF HYDRAULIC CONDUCTIVITY OF SATURATED SOIL IN CONSERVATION UNIT
Provedor de dados: 196
Autores: Mesquita, Glaucia Machado; Santos, Felipe Corrêa Veloso dos; Dores, Anne Louise; Correchel, Vladia.
The study aimed to evaluate the hydraulic conductivity using soil samples with undisturbed structure in the soil layers of 0-5, 5-10, 10-20, and 20-40 cm; 120 soil samples were collected. For the determination of hydraulic conductivity, the constant load permeameter was used. For geostatistical analysis, exploratory data analysis was performed using frequency histograms, determining the main measures of position and dispersion, verifying the trends for the construction of boxplot graphics, which allows the identification of discrepant points. The lowest and highest hydraulic conductivity values were found in the 20-40 cm and 0-5 cm soil layers, respectively; values commonly found in soils under forest conditions. Based on the results, we conclude when the...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Soil physical quality indicator; Permanent preservation areas; Soil water; Permeability.
Ano: 2022
URL: http://periodicosonline.uems.br/index.php/agrineo/article/view/6532

PEDOFUNCTIONS APPLIED TO THE LEAST LIMITING WATER RANGE TO ESTIMATE SOIL WATER CONTENT AT SPECIFIC POTENTIALS
Provedor de dados: 70
Autores: Tavanti,Renan F. R.; Freddi,Onã da S.; Tavanti,Tauan R.; Rigotti,Adriel; Magalhães,Wellington de A.
ABSTRACT The least limiting water range (LLWR) is a soil physical quality indicator that receives much attention. It has been criticized and put to the test regarding mathematical models that compose it since they describe the behavior of soil physical attributes in a simplified way. This study aimed to assess the efficiency of some pedofunctions proposed in the literature and artificial neural networks on the accuracy in predicting soil water retention at potentials equivalent to field capacity (θFC) and permanent wilting point (θPWP). In other words, to apply the best models to LLWR of two soil types (Oxisol and Ultisol) and verify changes in their structure. The results indicated that pedofunctions using sand, silt, clay, bulk density, and soil organic...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Soil physics; Soil physical quality indicator; Available water; Pedotransfer functions; Artificial neural networks.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000400444