2022
DOI: 10.5194/se-13-497-2022
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Rare earth elements associated with carbonatite–alkaline complexes in western Rajasthan, India: exploration targeting at regional scale

Abstract: Abstract. A two-stage fuzzy inference system (FIS) is applied to prospectivity modelling and exploration-target delineation for rare earth element (REE) deposits associated with carbonatite–alkaline complexes in the western part of the state of Rajasthan in India. The design of the FIS and selection of the input predictor map are guided by a generalised conceptual model of carbonatite–alkaline-complex-related REE mineral systems. In the first stage, three FISs are constructed to map the fertility and favourabl… Show more

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Cited by 13 publications
(2 citation statements)
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References 63 publications
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“…The alkaline-carbonatitic complexes and their weathered derivatives are major sources of rare earth elements (REEs) and niobium (Nb) (Goodenough et al 2016;Aranha et al 2022;Rasilainen et al 2023). Carbonatite-hosted REE deposits are often high-grade and big in size, with low thorium contents .…”
Section: Introductionmentioning
confidence: 99%
“…The alkaline-carbonatitic complexes and their weathered derivatives are major sources of rare earth elements (REEs) and niobium (Nb) (Goodenough et al 2016;Aranha et al 2022;Rasilainen et al 2023). Carbonatite-hosted REE deposits are often high-grade and big in size, with low thorium contents .…”
Section: Introductionmentioning
confidence: 99%
“…geological, geophysical, geochemical, structural, remote sensing) targeted to a specific deposit type to develop "predictor maps". In their contribution, Aranha et al (2022) feed a conceptual model of rare earth elements (REE) associated with carbonatitealkaline complexes in western Rajasthan (India) by combining nine layers of input data to generate predictor maps. Then, a knowledge-driven artificial intelligence technique (fuzzy inference system) is used in combination with uncertainty modelling to produce maps that include information on the fertility sources and geodynamic setting, lithospheric transportation architecture and near-surface emplacement.…”
Section: Remote Sensing Methodsmentioning
confidence: 99%