Variabilidade Espacial de Atributos Físico-hídricos de Solos em uma Bacia Experimental no Estado de Pernambuco

Furtunato, Osvalcélio; Montenegro, Suzana; Antonino, Antônio Celso Dantas; Oliveira, Leidjane Maria Maciel de; Souza, Eduardo Soares de; Moura, Albert

doi:10.21168/rbrh.v18n2.p135-147

Cited by 7 publications

(8 citation statements)

References 23 publications

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“…The soil at station S1 also exhibits slightly higher values of S and Ks. The estimated values are similar to the results found by Furtunato et al [51], who also used the BEST method at 102 points distributed throughout the GERB. 1 The value of θr was measured in the laboratory.…”

Section: Hydraulic Characterization Of the Sitessupporting

confidence: 87%

“…The experimental and representative catchments have been monitored by the Network of Hydrology of the Semi-Arid Region (REHISA), which currently consists of eight federal universities in Brazil [47]. In the last years, the hydrology of the GERB has been studied with regard to surface runoff [48], sediment yield [49,50], hydrodynamic soil characterization [51], and evapotranspiration [52,53].…”

Section: Study Site Descriptionmentioning

confidence: 99%

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Modelling Soil Water Dynamics from Soil Hydraulic Parameters Estimated by an Alternative Method in a Tropical Experimental Basin

Ursulino

Montenegro

Coutinho

et al. 2019

Water

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Knowledge about soil moisture dynamics and their relation with rainfall, evapotranspiration, and soil physical properties is fundamental for understanding the hydrological processes in a region. Given the difficulties of measurement and the scarcity of surface soil moisture data in some places such as Northeast Brazil, modelling has become a robust tool to overcome such limitations. This study investigated the dynamics of soil water content in two plots in the Gameleira Experimental River Basin, Northeast Brazil. For this, Time Domain Reflectometry (TDR) probes and Hydrus-1D for modelling one-dimensional flow were used in two stages: with hydraulic parameters estimated with the Beerkan Estimation of Soil Transfer Parameters (BEST) method and optimized by inverse modelling. The results showed that the soil water content in the plots is strongly influenced by rainfall, with the greatest variability in the dry–wet–dry transition periods. The modelling results were considered satisfactory with the data estimated by the BEST method (Root Mean Square Errors, RMSE = 0.023 and 0.022 and coefficients of determination, R2 = 0.72 and 0.81) and after the optimization (RMSE = 0.012 and 0.020 and R2 = 0.83 and 0.72). The performance analysis of the simulations provided strong indications of the efficiency of parameters estimated by BEST to predict the soil moisture variability in the studied river basin without the need for calibration or complex numerical approaches.

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Section: Hydraulic Characterization Of the Sitessupporting

confidence: 87%

Section: Study Site Descriptionmentioning

confidence: 99%

Modelling Soil Water Dynamics from Soil Hydraulic Parameters Estimated by an Alternative Method in a Tropical Experimental Basin

Ursulino

Montenegro

Coutinho

et al. 2019

Water

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“…The characterization of the hydrodynamic properties of the soil by the Beerkan methodology has been widely used because it has field application, low cost, and simple execution, just the soil water infiltration curve and soil texture [3,27,31,32]. Currently, in the literature, there are studies with the Beerkan methodology to evaluate the spatial variability of soil hydraulic conductivity [2,10,23,25,29,32]. However, few studies are carried out in alluvial soils, which are very fertile; due to this characteristic, intensive and highly heterogeneous agriculture is practiced.…”

Section: Introductionmentioning

confidence: 99%

Characterization of alluvial soil hydrodynamics in the upper Ipanema river basin using the Beerkan method

Pinheiro

Jardim

Montenegro

et al. 2021

DYNA

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The objective was to model the spatial distribution of the physical properties of the soil through geostatistics in the Brazilian semi-arid region. The study was carried out in the Experimental Basin of Ipanema River, Pernambuco, in an alluvial area with regular grid and samples of 40 points. Infiltration tests were carried out to assess hydraulic conductivity and sampling was performed to determine soil texture and soil organic carbon (SOC). The variables were subjected to descriptive and correlation statistical analyses, in addition to the geostatistical report, which indicated high variability for the hydraulic conductivity of the soil. The best fits were obtained with the Spherical model for the hydraulic conductivity, sand, silt, and clay variables, and the Gaussian model for SOC. Thus, with the geostatistics technique, it was possible to map and verify the main physical characteristics of the soil in the area, providing greater optimization in agriculturalplanning

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“…Because they are crucial in modeling, these properties have been evaluated by several authors in relation to water movement in the vadose and/or saturated zone (Hu et al, 2007;Taskinen et al, 2008;Coppola et al, 2009;Champo & Zamarrón, 2010;Paleologos & Sarris, 2011;Santos et al, 2012;Furtunato et al, 2013;Fang et al, 2016;Montzka et al, 2017). The understanding of these variables is important, being required in studies on the efficiency of irrigation techniques, drainage and agricultural productivity.…”

Section: Introductionmentioning

confidence: 99%

Soil physical and hydraulic properties in the Donato stream basin, RS, Brazil. Part 1: Spatial variability

Siqueira

Louzada

Pedrollo

et al. 2019

Rev. bras. eng. agríc. ambient.

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The processes of water flow and water storage in the soil are directly associated with its hydraulic properties, which may vary significantly in space. Therefore, this study aimed to perform a spatial analysis of saturated hydraulic conductivity and the parameters of the soil water retention curve in the Donato basin, located in the municipality of Pejuçara, in the northwest region of the state of Rio Grande do Sul, Brazil, with geographic coordinates between 28º 25’ 34” S and 53º 40’ 30” W, and 28º 24’ 50” S and 53º 41’ 30” W, 590 m of altitude. Undisturbed soil samples (total of 55) were collected from August to November of 2012. The results have demonstrated larger variability for hydraulic conductivity and for the parameter α of the retention curve, and allowed identifying that the high spatial heterogeneity of the studied variables could be associated with factors such as climate, land use and land cover, sampling errors, sampling grid density and also the level of soil compaction.

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Variabilidade Espacial de Atributos Físico-hídricos de Solos em uma Bacia Experimental no Estado de Pernambuco

Cited by 7 publications

References 23 publications

Modelling Soil Water Dynamics from Soil Hydraulic Parameters Estimated by an Alternative Method in a Tropical Experimental Basin

Modelling Soil Water Dynamics from Soil Hydraulic Parameters Estimated by an Alternative Method in a Tropical Experimental Basin

Characterization of alluvial soil hydrodynamics in the upper Ipanema river basin using the Beerkan method

Soil physical and hydraulic properties in the Donato stream basin, RS, Brazil. Part 1: Spatial variability

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