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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
11/02/2022 |
Data da última atualização: |
11/03/2022 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
SANTOS, P. A.; PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de; PEREIRA, N. R.; BHERING, S. B.; SILVA, I. L. |
Afiliação: |
PRISCILLA A. SANTOS, UFRRJ; HELENA S. K. PINHEIRO, UFRRJ; WALDIR DE CARVALHO JUNIOR, CNPS; NILSON RENDEIRO PEREIRA, CNPS; SILVIO BARGE BHERING, CNPS; IGOR L. SILVA, UFRRJ. |
Título: |
Modeling soils physical-hydric attributes through algorithms for quantitative pedology in Guapi-Macacu watershed, RJ. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online. |
Idioma: |
Inglês |
Conteúdo: |
The research goal is to analyze soil?s properties and associate them with the behavior and vertical variability of soil basic infiltration speed (bir) and saturated hydraulic conductivity (ksat) in soils from Guapi-Macacu watershed using the Algorithm for Quantitative Pedology (AQP) package, in order to support predictive vertical modeling of soil attributes. To achieve the goals, 36 soil profiles were subjected to statistical analysis and then applied the AQP depth functions: standardization, slicing and aggregation methods. Thus, having the harmonized data set, the results were quantitatively and qualitatively evaluated, which pointed to high soil granulometric and physicochemical properties variability, maintaining a moderate to strong correlation with the physical-hydric attributes. It is concluded that the high soil properties variability can affect the vertical modeling in terms of prediction, as it tends to reduce the assertive degree in the training/validation of the models. |
Palavras-Chave: |
AQP; Digital Soil Mapping; Geoprocessing; Hydropedology; Predictive Modeling. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/231211/1/Modeling-soils-physical-hydric-attributes-through-algorithms-2022.pdf
|
Marc: |
LEADER 01794nam a2200229 a 4500 001 2139947 005 2022-03-11 008 2022 bl uuuu u00u1 u #d 100 1 $aSANTOS, P. A. 245 $aModeling soils physical-hydric attributes through algorithms for quantitative pedology in Guapi-Macacu watershed, RJ.$h[electronic resource] 260 $aIn: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.$c2022 520 $aThe research goal is to analyze soil?s properties and associate them with the behavior and vertical variability of soil basic infiltration speed (bir) and saturated hydraulic conductivity (ksat) in soils from Guapi-Macacu watershed using the Algorithm for Quantitative Pedology (AQP) package, in order to support predictive vertical modeling of soil attributes. To achieve the goals, 36 soil profiles were subjected to statistical analysis and then applied the AQP depth functions: standardization, slicing and aggregation methods. Thus, having the harmonized data set, the results were quantitatively and qualitatively evaluated, which pointed to high soil granulometric and physicochemical properties variability, maintaining a moderate to strong correlation with the physical-hydric attributes. It is concluded that the high soil properties variability can affect the vertical modeling in terms of prediction, as it tends to reduce the assertive degree in the training/validation of the models. 653 $aAQP 653 $aDigital Soil Mapping 653 $aGeoprocessing 653 $aHydropedology 653 $aPredictive Modeling 700 1 $aPINHEIRO, H. S. K. 700 1 $aCARVALHO JUNIOR, W. de 700 1 $aPEREIRA, N. R. 700 1 $aBHERING, S. B. 700 1 $aSILVA, I. L.
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