Remote Sensing and Electrodynamic Model of Chicxulub Crater

Mathematics – Logic

Scientific paper

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5417 Gravitational Fields (1227), 5420 Impact Phenomena (Includes Cratering), 5460 Physical Properties Of Materials, 5464 Remote Sensing

Scientific paper

Advances on space observational systems have opened new exiting possibilities to investigate our planet in an unprecedented detail and in a global scale. Information retrieved from surveys of other solar system bodies like our moon, planets and satellites, from missions like Apollo, have documented the origin of planetary surfaces and the role of impacts as a major process. Voyagers 1 and 2 and Galileo have showed impact craterism is a process rather generalized in all bodies of the solar system. Thus establishing it as part of the major processes to be considered for the evolution of our planet, together with tectonics, mantle process, volcanism, weathering, etc. Investigations on impact craters from solar systems provide valuable information on different surfaces, crustal thickness, existence of crust layers, type of material under the most superficial layer, type of bolide which formed crater, impact angle, etc. The studies constitute an important tool to rebuild the planets' geological history and develop theories on their internal structure. The Chicxulub crater in the carbonate platform of the Yucatan peninsula is one of the largest multiring structures found on Earth. The crater is some 180-200 km in diameter, is well preserved and has been studied in the past few years (geophysical surveys and drilling programs). The crater is buried under a thick sequence of tertiary carbonate rocks, and on the surface there are relatively few indications of the crater (e.g., topographic depression, ring of cenotes). In this study, it is analyzed and presented an electrodynamic model for an impact crater and its electrophysical properties, these data are derived from Fisher inverse matrix elements. We also present a surface model for the buried Chicxulub crater derived from remote sensing data.

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