Descenso rápido de la intensidad del campo geomagnéticonuevos datos de arqueointensidad para el I milenio AEC en Uzbekistán

  1. R. Bonilla-Alba 1
  2. M. Gómez-Paccard 2
  3. F.J. Pavón-Carrasco 1
  4. J. del Río 2
  5. E. Beamud 3
  6. V. Martínez-Ferreras 4
  7. J.M. Gurt-Esparraguera 4
  8. E. Ariño-Gil 5
  9. A. Palencia-Ortas 1
  10. F. Martín-Hernández 1
  11. A. Chauvin 6
  12. M.L. Osete 1
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Institute of Geosciences IGEO (CSIC-UCM)
  3. 3 Paleomagnetic Laboratory CCiTUB-ICTJA CSIC
  4. 4 Universitat de Barcelona
    info

    Universitat de Barcelona

    Barcelona, España

    ROR https://ror.org/021018s57

  5. 5 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  6. 6 Univ Rennes, CNRS
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Revista:
Geotemas (Madrid)

ISSN: 1576-5172

Año de publicación: 2021

Título del ejemplar: X Congreso Geológico de España

Número: 18

Páginas: 708

Tipo: Artículo

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Otras publicaciones en: Geotemas (Madrid)

Resumen

Recent archaeomagnetic studies has been identified an important intensity bump of the geomagnetic field about 3000 years ago (Shaar et al.., 2016). This phenomenon has been observed in several parts of the world as Israel, Europe and Korea. The main objective of this study is to increase our knowledge about the temporal and spatial behavior in Central Asia and from the first millennium BCE. With this purpose in mind, classical Thellier paleointensity experiments were conducted over a collection of 141 ceramic fragments from South Uzbekistan. Rock magnetic experiments indicate that magnetite and Ti-magnetite are the main magnetic carriers in the studied samples. The new archaeointensity results obtained confirm a drastic fall of the geomagnetic intensity between 400 BCE and 100 BCE in Central Asia. Finally, the virtual axial dipole moment (VADM) values have been compared with the dipolar moment variation predicted by the SHA.DIF.14k global model (Pavon-Carrasco et al., 2014).

Fuente de los datos: Dialnet