Banca de QUALIFICAÇÃO: NIRIELE BRUNO RODRIGUES

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : NIRIELE BRUNO RODRIGUES
DATE: 07/11/2023
TIME: 14:00
LOCAL: Online
TITLE:

Laterization and ferrocarbonatites: Factors and processes that rules the genesis of the controversial niobium deposit in the Brazilian Amazon

KEY WORDS:

Pedometrics. Machine-learning; Poorly accessible areas.

PAGES: 57
BIG AREA: Ciências Agrárias
AREA: Agronomia
SUMMARY:

The combination of remote sensing and topographical data associated with machine learning (ML) models, especially for digital geological and pedological mapping, has contributed to the identification of areas with economic potential for mineral prospecting. The Amazon contains a thick crust of laterite (>200 m), where the carbonation processes of the siderite have produced a goethite/hematite crust. In summary, the aim of the research is to map laterites and classes of outcropping materials, as well as chemical elements/compounds from the association of analytical data and environmental variables derived from remote sensing and numerical terrain surface models, using machine-learning techniques, as well as to elucidate the lateritization process associated with the carbonatite siderite of Morro dos Seis Lagos (AM). As a result, the following questions were proposed for the doctoral qualifying exam: 1) Review the literature on Digital Soil Mapping in Brazil; 2) What are the similarities and differences between the specific pedogenetic processes of plintitization and ferralitization; 3) The Seis Lagos (SL) deposit was mapped according to various units. The Lateritic Crust (CL) and Talus (TL) stand out. Theoretically, on geological maps, CL and TL are distinct units. However, geochemically they should be similar (TL are deposits generated by gravity from CL). So I ask: for a given chemical element, is one unit a subgroup of the other? Does this apply to all elements equally? Are there exceptions? 4) Bivariate (traditional) correlation between chemical elements.  5) Explanation for each morphometric covariate; and 6) In 5.3. Classification of geological materials', I would like to suggest mapping the results obtained with the discriminant indices shown in the definition of the subclasses of laterite and slope deposits in Table 4.

COMMITTEE MEMBERS:
Presidente - 2223668 - HELENA SARAIVA KOENOW PINHEIRO
Interno - 1060711 - MARCOS GERVASIO PEREIRA
Externo ao Programa - 1580057 - FRANCISCO JOSE DA SILVA - UFRRJExterno à Instituição - CESAR DA SILVA CHAGAS