Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements
- Autores
- Darder, Maria Liliana; Paz-González, Antonio; García-Tomillo, Aitor; Lado, Marcos; Wilson, Marcelo German
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Particle size distribution (PSD) is a basic soil property, closely related to main soil physical and chemical attributes. Soil PSD determined by laser diffraction (LD) may provide additional information to soil texture determined by traditional methods. In turn, LD may be implemented using either Mie or Fraunhofer calculation methods, based on different assumptions. The multifractal approach has been demonstrated to be useful for characterizing the inner structure of soil PSD. We analysed the PSDs of 18 soil horizons sampled on the most characteristic soil types from Argentina with a wide range of textural classes, from clayey to sandy, mainly developed over loess material. Our aims were to assess the multifractality between PSDs computed using either Mie scattering or Fraunhofer diffraction models, and to compare the scaling properties and multifractal behavior of PSDs from soils with contrasting textures. Fraunhofer model provided PSD curves, which were shifted toward coarser particles compared to those obtained with Mie model. Regardless calculation method, all the PSDs studied displayed a well-defined multifractal structure, as shown by singularity, f(α) versus α, and by Rènyi spectra, Dqvs q. Moreover, all singularity spectra were strong asymmetric, right deviating curves, which is consistent with a greater heterogeneity of the low values of volume frequencies for all the PSDs analysed. Soil PSDs computed by Fraunhofer model showed higher asymmetry than those computed by Mie model for 16 out of 18 horizons studied; this suggests that scaling heterogeneity mainly depends on the support length, which is larger for the PSDs computed by Mie. In addition, other features of the PSDs stemming from soil processes such as weathering intensity of loess materials may also influence multifractality. Stronger correlations were found between multifractal parameters from PSDs calculated by the two models for the most positive q moments of singularity and Renyi spectra, i.e. α10, D10, than for those gathered from the central and negative q moments. The entropy dimension, D1, significantly (P<0.05) increased with increasing clay content, in contrast to previous findings; this may be due either to differences in the inner structure of various PSD data sets compared, or to shortcomings of standard PSD measurement and calculation procedures.
EEA Pergamino
Fil: Darder, María Liliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio Calidad de Alimento, Suelos y Agua; Argentina
Fil: Paz-González, Antonio. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; España
Fil: García-Tomillo, Aitor. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; España
Fil: Lado, Marcos. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; España
Fil: Wilson, Marcelo German. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina - Fuente
- Applied Mathematical Modelling 94 : 36-48. (June 2021)
- Materia
-
Suelo
Textura del Suelo
Propiedades Físico - químicas Suelo
Análisis del Suelo
Soil
Soil Texture
Soil Chemicophysical Properties
Soil Analysis
Argentina
Escala Multifractal
Modelos de Cálculo
Difracción Láser
Distribución de Frecuencia de Volumen - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/9003
Ver los metadatos del registro completo
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Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurementsDarder, Maria LilianaPaz-González, AntonioGarcía-Tomillo, AitorLado, MarcosWilson, Marcelo GermanSueloTextura del SueloPropiedades Físico - químicas SueloAnálisis del SueloSoilSoil TextureSoil Chemicophysical PropertiesSoil AnalysisArgentinaEscala MultifractalModelos de CálculoDifracción LáserDistribución de Frecuencia de VolumenParticle size distribution (PSD) is a basic soil property, closely related to main soil physical and chemical attributes. Soil PSD determined by laser diffraction (LD) may provide additional information to soil texture determined by traditional methods. In turn, LD may be implemented using either Mie or Fraunhofer calculation methods, based on different assumptions. The multifractal approach has been demonstrated to be useful for characterizing the inner structure of soil PSD. We analysed the PSDs of 18 soil horizons sampled on the most characteristic soil types from Argentina with a wide range of textural classes, from clayey to sandy, mainly developed over loess material. Our aims were to assess the multifractality between PSDs computed using either Mie scattering or Fraunhofer diffraction models, and to compare the scaling properties and multifractal behavior of PSDs from soils with contrasting textures. Fraunhofer model provided PSD curves, which were shifted toward coarser particles compared to those obtained with Mie model. Regardless calculation method, all the PSDs studied displayed a well-defined multifractal structure, as shown by singularity, f(α) versus α, and by Rènyi spectra, Dqvs q. Moreover, all singularity spectra were strong asymmetric, right deviating curves, which is consistent with a greater heterogeneity of the low values of volume frequencies for all the PSDs analysed. Soil PSDs computed by Fraunhofer model showed higher asymmetry than those computed by Mie model for 16 out of 18 horizons studied; this suggests that scaling heterogeneity mainly depends on the support length, which is larger for the PSDs computed by Mie. In addition, other features of the PSDs stemming from soil processes such as weathering intensity of loess materials may also influence multifractality. Stronger correlations were found between multifractal parameters from PSDs calculated by the two models for the most positive q moments of singularity and Renyi spectra, i.e. α10, D10, than for those gathered from the central and negative q moments. The entropy dimension, D1, significantly (P<0.05) increased with increasing clay content, in contrast to previous findings; this may be due either to differences in the inner structure of various PSD data sets compared, or to shortcomings of standard PSD measurement and calculation procedures.EEA PergaminoFil: Darder, María Liliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio Calidad de Alimento, Suelos y Agua; ArgentinaFil: Paz-González, Antonio. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; EspañaFil: García-Tomillo, Aitor. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; EspañaFil: Lado, Marcos. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; EspañaFil: Wilson, Marcelo German. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; ArgentinaElsevier2021-03-30T17:04:07Z2021-03-30T17:04:07Z2021-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/9003https://www.sciencedirect.com/science/article/abs/pii/S0307904X210002020307-904Xhttps://doi.org/10.1016/j.apm.2020.12.044Applied Mathematical Modelling 94 : 36-48. (June 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-12-18T09:01:58Zoai:localhost:20.500.12123/9003instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-12-18 09:01:58.763INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
| dc.title.none.fl_str_mv |
Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements |
| title |
Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements |
| spellingShingle |
Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements Darder, Maria Liliana Suelo Textura del Suelo Propiedades Físico - químicas Suelo Análisis del Suelo Soil Soil Texture Soil Chemicophysical Properties Soil Analysis Argentina Escala Multifractal Modelos de Cálculo Difracción Láser Distribución de Frecuencia de Volumen |
| title_short |
Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements |
| title_full |
Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements |
| title_fullStr |
Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements |
| title_full_unstemmed |
Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements |
| title_sort |
Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements |
| dc.creator.none.fl_str_mv |
Darder, Maria Liliana Paz-González, Antonio García-Tomillo, Aitor Lado, Marcos Wilson, Marcelo German |
| author |
Darder, Maria Liliana |
| author_facet |
Darder, Maria Liliana Paz-González, Antonio García-Tomillo, Aitor Lado, Marcos Wilson, Marcelo German |
| author_role |
author |
| author2 |
Paz-González, Antonio García-Tomillo, Aitor Lado, Marcos Wilson, Marcelo German |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Suelo Textura del Suelo Propiedades Físico - químicas Suelo Análisis del Suelo Soil Soil Texture Soil Chemicophysical Properties Soil Analysis Argentina Escala Multifractal Modelos de Cálculo Difracción Láser Distribución de Frecuencia de Volumen |
| topic |
Suelo Textura del Suelo Propiedades Físico - químicas Suelo Análisis del Suelo Soil Soil Texture Soil Chemicophysical Properties Soil Analysis Argentina Escala Multifractal Modelos de Cálculo Difracción Láser Distribución de Frecuencia de Volumen |
| dc.description.none.fl_txt_mv |
Particle size distribution (PSD) is a basic soil property, closely related to main soil physical and chemical attributes. Soil PSD determined by laser diffraction (LD) may provide additional information to soil texture determined by traditional methods. In turn, LD may be implemented using either Mie or Fraunhofer calculation methods, based on different assumptions. The multifractal approach has been demonstrated to be useful for characterizing the inner structure of soil PSD. We analysed the PSDs of 18 soil horizons sampled on the most characteristic soil types from Argentina with a wide range of textural classes, from clayey to sandy, mainly developed over loess material. Our aims were to assess the multifractality between PSDs computed using either Mie scattering or Fraunhofer diffraction models, and to compare the scaling properties and multifractal behavior of PSDs from soils with contrasting textures. Fraunhofer model provided PSD curves, which were shifted toward coarser particles compared to those obtained with Mie model. Regardless calculation method, all the PSDs studied displayed a well-defined multifractal structure, as shown by singularity, f(α) versus α, and by Rènyi spectra, Dqvs q. Moreover, all singularity spectra were strong asymmetric, right deviating curves, which is consistent with a greater heterogeneity of the low values of volume frequencies for all the PSDs analysed. Soil PSDs computed by Fraunhofer model showed higher asymmetry than those computed by Mie model for 16 out of 18 horizons studied; this suggests that scaling heterogeneity mainly depends on the support length, which is larger for the PSDs computed by Mie. In addition, other features of the PSDs stemming from soil processes such as weathering intensity of loess materials may also influence multifractality. Stronger correlations were found between multifractal parameters from PSDs calculated by the two models for the most positive q moments of singularity and Renyi spectra, i.e. α10, D10, than for those gathered from the central and negative q moments. The entropy dimension, D1, significantly (P<0.05) increased with increasing clay content, in contrast to previous findings; this may be due either to differences in the inner structure of various PSD data sets compared, or to shortcomings of standard PSD measurement and calculation procedures. EEA Pergamino Fil: Darder, María Liliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio Calidad de Alimento, Suelos y Agua; Argentina Fil: Paz-González, Antonio. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; España Fil: García-Tomillo, Aitor. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; España Fil: Lado, Marcos. Universidade da Coruña. Centro de Investigaciones Científicas Avanzadas; España Fil: Wilson, Marcelo German. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina |
| description |
Particle size distribution (PSD) is a basic soil property, closely related to main soil physical and chemical attributes. Soil PSD determined by laser diffraction (LD) may provide additional information to soil texture determined by traditional methods. In turn, LD may be implemented using either Mie or Fraunhofer calculation methods, based on different assumptions. The multifractal approach has been demonstrated to be useful for characterizing the inner structure of soil PSD. We analysed the PSDs of 18 soil horizons sampled on the most characteristic soil types from Argentina with a wide range of textural classes, from clayey to sandy, mainly developed over loess material. Our aims were to assess the multifractality between PSDs computed using either Mie scattering or Fraunhofer diffraction models, and to compare the scaling properties and multifractal behavior of PSDs from soils with contrasting textures. Fraunhofer model provided PSD curves, which were shifted toward coarser particles compared to those obtained with Mie model. Regardless calculation method, all the PSDs studied displayed a well-defined multifractal structure, as shown by singularity, f(α) versus α, and by Rènyi spectra, Dqvs q. Moreover, all singularity spectra were strong asymmetric, right deviating curves, which is consistent with a greater heterogeneity of the low values of volume frequencies for all the PSDs analysed. Soil PSDs computed by Fraunhofer model showed higher asymmetry than those computed by Mie model for 16 out of 18 horizons studied; this suggests that scaling heterogeneity mainly depends on the support length, which is larger for the PSDs computed by Mie. In addition, other features of the PSDs stemming from soil processes such as weathering intensity of loess materials may also influence multifractality. Stronger correlations were found between multifractal parameters from PSDs calculated by the two models for the most positive q moments of singularity and Renyi spectra, i.e. α10, D10, than for those gathered from the central and negative q moments. The entropy dimension, D1, significantly (P<0.05) increased with increasing clay content, in contrast to previous findings; this may be due either to differences in the inner structure of various PSD data sets compared, or to shortcomings of standard PSD measurement and calculation procedures. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-03-30T17:04:07Z 2021-03-30T17:04:07Z 2021-01 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
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http://hdl.handle.net/20.500.12123/9003 https://www.sciencedirect.com/science/article/abs/pii/S0307904X21000202 0307-904X https://doi.org/10.1016/j.apm.2020.12.044 |
| url |
http://hdl.handle.net/20.500.12123/9003 https://www.sciencedirect.com/science/article/abs/pii/S0307904X21000202 https://doi.org/10.1016/j.apm.2020.12.044 |
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0307-904X |
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eng |
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application/pdf |
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Elsevier |
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Elsevier |
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Applied Mathematical Modelling 94 : 36-48. (June 2021) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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