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    THE MAGNETIC ANOMALY MAP OF PARANÁ STATE: AN INTEGRATION OF AIRBORNE SURVEYS PERFORMED OVER THE YEARS

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    ma1800.tif (15.70Mb)
    ma2700.tif (15.70Mb)
    pr_ma1800.csv (72.28Mb)
    pr_ma1800.nc (14.26Mb)
    pr_ma1800_geo__flt.rar (9.851Mb)
    pr_ma2700.csv (94.53Mb)
    pr_ma2700.nc (25.71Mb)
    pr_ma2700_geo__flt.rar (9.172Mb)
    Data
    2024-07-29
    Autor
    Bongiolo, Alessandra de Barros e Silva
    Szameitat, Luizemara
    Severino, Rafael Ribeiro
    Brumatti, Mariane
    Spisila, André Luis
    Ferreira, Francisco José Fonseca
    Baldessar, Pedro Netto
    Pereira, Eros Kerouak Cordeiro
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    Resumo
    . Over the last decades, several aerial survey campaigns have been conducted in the State of Paraná. However, we did not have a complete magnetic data integration and analysis focused on the Paraná’s geological context. Therefore, the main objective of this work is to provide the integration of all available data and realize a general analysis to make the Integrated Magnetic Map of the Paraná State, in collaboration with the Geological Survey of Brazil (SGB-CPRM). After integrate the data we have applied processing techniques on public airborne magnetic data, available from the Geological Survey of Brazil database (GeoSGB). For this integration, it was used the minimum curvature interpolation, with cell sizes according to each survey. All gridded data was extrapolated upward from the original height to the altitude of 1800 m. Afterwards, we applied the upward continuation for 2700 m and the following filters: vertical gradient (VDR), total horizontal derivative (THDR), analytic signal (AS), or tilt derivative (TDR), tilt angle of the horizontal derivative (TAHG) and vertical integral of the analytic signal (VIAS). The final results provide valuable maps (and grids) that can be used by the community for future works. In this work we tried to do a simple overview of the structural framework of Paraná State, representing the main magnetic structures of the Paraná State basement and compare them with the most important structures already mapped in surface over the years. All the data present in this work and other filters tests are available and can be access in the supplementary material (UFPR repository).
    URI
    https://hdl.handle.net/1884/89075
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