Multifractal characterization of microtomographic images and its correlation with water retention and conduction in soils

• Grant number: 18/16226-1
• Support type: Research Grants - Visiting Researcher Grant - International
• Duration: April 15, 2019 - April 14, 2020
• Field of knowledge: Agronomical Sciences - Agronomy - Soil Science
• Principal Investigator: Carlos Manoel Pedro Vaz
• Grantee: Carlos Manoel Pedro Vaz
• Visiting researcher: Adolfo Nicolas Posadas Durand
• Visiting researcher institution: Agrosight Limited, England
• Home Institution: Embrapa Instrumentação Agropecuária. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Ministério da Agricultura, Pecuária e Abastecimento (Brasil). São Carlos , SP, Brazil

Abstract

The multifractal theory allows the spatial and temporal characterization of complex natural phenomenon as soil water movement and retention. Multifractal methods have been used is Soil Science to characterize the porous system, the hydraulic conductivity, to classify soils and characterize the spatial variability. In this project the multifractal theory will be applied to characterize soils using various scales (sample size and image spatial resolution). Multifractal parameters as the multifractal spectrum (f(±)), the mass exponent (Ä(q)), the capacity (D0), entropy (D1) and correlation (D2) dimensions will be determined and correlated with properties as the pore size distribution, water retention curve and saturated hydraulic conductivity. Improvements in a previously developed algorithm for multifractal parameters calculation will be performed, including the entropy information (NASS program and a Matlab version of wavelet-multifractal) for obtaining 3D multifractal parameters. A theoretical and practical multifractal training course will be presented for an interested audience that includes researchers at the Embrapa Instrumentation Center, professors and students (IFSC/USP, ICMC/USP, ESALQ/USP and others). (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

VAZ, CARLOS MANOEL PEDRO; FERREIRA, EDNALDO JOSE; POSADAS, ALDOLFO DURAND. Evaluation of models for fitting soil particle-size distribution using UNSODA and a Brazilian dataset. GEODERMA REGIONAL, v. 21, JUN 2020. Web of Science Citations: 0.