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| Registros recuperados : 71 | |
| 29. |  | COOPER, M.; CASTRO, S. S. de; COELHO, M. R. Micromorfologia do solo. In: TEIXEIRA, P. C.; DONAGEMMA, G. K.; FONTANA, A.; TEIXEIRA, W. G. (Ed.). Manual de métodos de análise de solo. 3. ed. rev. e ampl. Brasília, DF: Embrapa, 2017. pt. 5, cap. 1, p. 527-564.| Biblioteca(s): Embrapa Solos. |
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| 33. | | COOPER, M.; TERAMOTO, E. R.; TORRADO, P. V.; LEPSCH, I. F.; GIANNINI, I. V. Classificação de solos utilizada pelos indios Xicrin do Catete (Carajás,PA). IN: CONGRESSO BRASILEIRO DE CIÊNÇIA DO SOLO, 25., 1995, Viçosa, MG. Resumos expandidos. Viçosa: UFV, 1995. v.3, p. 1497-1499.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 40. | | TSENG, C. L.; POSADAS, A. N. D.; VAZ, C. M. P.; COOPER, M.; CRESTANA, S. Abordagem multifractal 3D e microtomografia computadorizada de raios-x na avaliação de um solo submetido a diferentes tipos de manejo. In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 4., 2019, São Carlos, SP. Ciência, inovação e mercado: anais. São Carlos, SP: Embrapa Instrumentação, 2019. Editores: Paulino Ribeiro Villas-Boas, Maria Alice Martins, Débora Marcondes Bastos Pereira Milori, Ladislau Martin Neto. SIAGRO 2019. 195-199| Biblioteca(s): Embrapa Instrumentação. |
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| Registros recuperados : 71 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
26/07/2023 |
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Data da última atualização: |
15/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 3 |
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Autoria: |
PESSOA, T. N.; FERREIRA, T. R.; PIRES, L. F.; COOPER, M.; UTEAU, D.; PETH, S.; VAZ, C. M. P.; LIBARDI, P. L. |
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Afiliação: |
University of São Paulo-“Luiz de Queiroz” College of Agriculture; Brazilian Synchrotron Light Laboratory (LNLS), Brazilian Center for Research in Energy and Materials (CNPEM); Laboratory of Physics Applied to Soils and Environmental Sciences, State University of Ponta Grossa; Department of Soil Science, University of São Paulo-“Luiz de Queiroz” College of Agriculture; Department of Soil Science, Faculty of Ecological Agriculture, University of Kassel; Institute of Soil Science, Leibniz Universität Hannover; CARLOS MANOEL PEDRO VAZ, CNPDIA; Department of Soil Science, University of São Paulo-“Luiz de Queiroz” College of Agriculture. |
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Título: |
X-ray Microtomography for Investigating Pore Space and Its Relation to Water Retention and Conduction in Highly Weathered Soils. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Agriculture, v. 13, n. 28, 2023. |
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Páginas: |
14 p. |
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DOI: |
https://doi.org/10.3390/agriculture13010028 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Soil structure controls soil hydraulic properties and is linked to soil aggregation processes. The aggregation processes of Oxisols are controlled mainly by clay mineralogy and biological activity. Computed microtomography (µCT) may be a tool for improving the knowledge of the hydraulic properties of these soils. Thus, this study brings an advance in the use of 3D image analysis to better comprehend the water behavior in tropical soils. In this work, three Oxisols were studied with the objective to (i) characterize the soil water retention curve (SWRC), the corresponding pore size frequency, and the saturated hydraulic conductivity (Ksat); (ii) use µCT to obtain, based on 3D images of soil structure and pore size distribution; and (iii) correlating parameters from SWRCs, Ksat, and µCT with other physical-hydric, chemical, and mineralogical attributes. Rhodic Haplustox—P1, Anionic Acrustox—P2, and Typic Hapludox—P3 were the three studied Oxisols. The differences among the SWRCs were related to the microgranular and block type’s structure morphology, which modified the soil pore space. The pore size frequency was calculated from SWRCs for pores with diameters of 87 ± 2 µm in P1, 134 ± 11µm in P2, and 175 ± 18 µm in P3. Pore size distribution from µCT was determined for the range of 20–100 µm, mainly with the highest percentages: 12 ± 1.09% for P1 and 12 ± 1.4% for P2. Pore connectivity was assessed from images by calculating Euler Numbers (EN), with the differences related to the biggest pore (ENbigpore): P1 (−44,223 ± 10,096) and P2 (−44,621 ± 12,573) showed more connected pores (ENbigpore) in comparison to P3 (−11,597 ± 6935). The parameter ENbigpore was decisive in understanding the water retention and conduction processes of the studied soils. The better-connected pore space increased Ksat in P1 (220 ± 0.05 mm h−1 ) and P2 (189 ± 0.1 mm h−1 ) in comparison to P3 (20 ± 0.3 mm h−1 ) and modified the shape of SWRCs. MenosAbstract: Soil structure controls soil hydraulic properties and is linked to soil aggregation processes. The aggregation processes of Oxisols are controlled mainly by clay mineralogy and biological activity. Computed microtomography (µCT) may be a tool for improving the knowledge of the hydraulic properties of these soils. Thus, this study brings an advance in the use of 3D image analysis to better comprehend the water behavior in tropical soils. In this work, three Oxisols were studied with the objective to (i) characterize the soil water retention curve (SWRC), the corresponding pore size frequency, and the saturated hydraulic conductivity (Ksat); (ii) use µCT to obtain, based on 3D images of soil structure and pore size distribution; and (iii) correlating parameters from SWRCs, Ksat, and µCT with other physical-hydric, chemical, and mineralogical attributes. Rhodic Haplustox—P1, Anionic Acrustox—P2, and Typic Hapludox—P3 were the three studied Oxisols. The differences among the SWRCs were related to the microgranular and block type’s structure morphology, which modified the soil pore space. The pore size frequency was calculated from SWRCs for pores with diameters of 87 ± 2 µm in P1, 134 ± 11µm in P2, and 175 ± 18 µm in P3. Pore size distribution from µCT was determined for the range of 20–100 µm, mainly with the highest percentages: 12 ± 1.09% for P1 and 12 ± 1.4% for P2. Pore connectivity was assessed from images by calculating Euler Numbers (EN), with the differences r... Mostrar Tudo |
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Palavras-Chave: |
Pore connectivity; Pore size distribution; Soil water retention curve. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/259608/1/P-X-ray-Microtomography-for-Investigating-Pore-Space-and-Its-Relation-to-Water-Retention-and-Conduction-in-Highly-Weathered-Soils.pdf
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Marc: |
LEADER 02809naa a2200265 a 4500
001 2155317
005 2024-01-15
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/agriculture13010028$2DOI
100 1 $aPESSOA, T. N.
245 $aX-ray Microtomography for Investigating Pore Space and Its Relation to Water Retention and Conduction in Highly Weathered Soils.$h[electronic resource]
260 $c2023
300 $a14 p.
520 $aAbstract: Soil structure controls soil hydraulic properties and is linked to soil aggregation processes. The aggregation processes of Oxisols are controlled mainly by clay mineralogy and biological activity. Computed microtomography (µCT) may be a tool for improving the knowledge of the hydraulic properties of these soils. Thus, this study brings an advance in the use of 3D image analysis to better comprehend the water behavior in tropical soils. In this work, three Oxisols were studied with the objective to (i) characterize the soil water retention curve (SWRC), the corresponding pore size frequency, and the saturated hydraulic conductivity (Ksat); (ii) use µCT to obtain, based on 3D images of soil structure and pore size distribution; and (iii) correlating parameters from SWRCs, Ksat, and µCT with other physical-hydric, chemical, and mineralogical attributes. Rhodic Haplustox—P1, Anionic Acrustox—P2, and Typic Hapludox—P3 were the three studied Oxisols. The differences among the SWRCs were related to the microgranular and block type’s structure morphology, which modified the soil pore space. The pore size frequency was calculated from SWRCs for pores with diameters of 87 ± 2 µm in P1, 134 ± 11µm in P2, and 175 ± 18 µm in P3. Pore size distribution from µCT was determined for the range of 20–100 µm, mainly with the highest percentages: 12 ± 1.09% for P1 and 12 ± 1.4% for P2. Pore connectivity was assessed from images by calculating Euler Numbers (EN), with the differences related to the biggest pore (ENbigpore): P1 (−44,223 ± 10,096) and P2 (−44,621 ± 12,573) showed more connected pores (ENbigpore) in comparison to P3 (−11,597 ± 6935). The parameter ENbigpore was decisive in understanding the water retention and conduction processes of the studied soils. The better-connected pore space increased Ksat in P1 (220 ± 0.05 mm h−1 ) and P2 (189 ± 0.1 mm h−1 ) in comparison to P3 (20 ± 0.3 mm h−1 ) and modified the shape of SWRCs.
653 $aPore connectivity
653 $aPore size distribution
653 $aSoil water retention curve
700 1 $aFERREIRA, T. R.
700 1 $aPIRES, L. F.
700 1 $aCOOPER, M.
700 1 $aUTEAU, D.
700 1 $aPETH, S.
700 1 $aVAZ, C. M. P.
700 1 $aLIBARDI, P. L.
773 $tAgriculture$gv. 13, n. 28, 2023.
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Embrapa Instrumentação (CNPDIA) |
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