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Fuzzy Modeling of surficial uranium Prospectivity in British Columbia(Canada)with a Weighted Fuzzy Algebraic Sum Operator

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Journal of Earth Science 2021年第2期32卷 293-309页

作者： Emmanuel John M.Carranza School of Agricultural Earth and Environmental SciencesUniversity of KwaZulu-NatalWestville CampusDurban 4041South Africa

This paper demonstrates knowledge-guided fuzzy logic modeling of regional-scale surficial uranium(U)prospectivity in British Columbia(Canada).The deposits/occurrences of surficial U in this region vary from those in Western Australia and Namibia;thus,requiring innovative and carefully-thought techniques of spatial evidence generation and *** novelty,this papers introduces a new weighted fuzzy algebraic sum operator to combine certain spatial evidence *** analysis trialed several layers of spatial evidence based on conceptual mineral system model of surficial U in British Columbia(Canada)as well as tested various models of evidence ***-linear weighted functions of(a)spatial closeness to U-enriched felsic igneous rocks was employed as U-source spatial evidence,(b)spatial closeness to paleochannels as fluid pathways spatial evidence,and(c)surface water U content as chemical trap spatial *** best models of prospectivity created by integrating the layers of spatial evidence for U-source,pathways and traps predicted at least 85%of the known surficial U deposits/occurrences in>10%of the study region with the highest prospectivity fuzzy *** results of analyses demonstrate that,employing the known deposits/occurrences of surficial U for scrutinizing the spatial evidence layers and the final models of prospectivity can pinpoint the most suitable critical processes and models of data integration to reduce bias in the analysis of mineral prospectivity.

关键词： fuzzy logic mineral systems surficial uranium fuzzy algebraic sum

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