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Global asteroid risk analysis

Global asteroid risk analysis
Global asteroid risk analysis
Potentially impacting asteroids were analysed for their impact risk on the Earth. To this end, the Asteroid Risk Mitigation Optimization and Research (ARMOR) tool is currently being developed. The tool’s modules are described and their validation is documented. Based on the asteroid ephemeris, the tool calculates the impact location probability distribution on the surface of the Earth (in the literature, occasionally referred to as risk corridor). NASA’s Near Earth Object (NEO) risk list served as the source for asteroid ephemerides. The Line of Variation (LOV) method was employed to find virtual impactors. While offering a simple and fast way of identifying virtual impactors, the method provides a low impactor identification rate. This is because the search space is tightly constricted to the LOV and thus excludes virtual impactors located elsewhere in the asteroid position uncertainty region. The method’s performance was evaluated and suggestions for improvements are provided. Application of the tool showed that the asteroid threat is global in nature: impact locations were distributed widely over the Earth’s surface. The global asteroid risk was estimated by combining the impact location probability distribution with Earth population data. The identification of high risk regions lead to a discussion about the dynamics of the risk associated with asteroids. The future response to an asteroid threat will depend on the risk that the asteroid poses to the population. The potential applicability of ARMOR as a decision-support tool for responding to the asteroid threat is outlined. The work is supported by the Marie Curie Initial Training Network Stardust, FP7-PEOPLE-2012-ITN, Grant Agreement 317185
Rumpf, Clemens
39d27fd9-b5f8-405c-9c16-abf847ce2869
Rumpf, Clemens
39d27fd9-b5f8-405c-9c16-abf847ce2869

Rumpf, Clemens (2014) Global asteroid risk analysis. International Astronautical Congress, Toronto, Canada. 29 Sep - 03 Oct 2014. 10 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Potentially impacting asteroids were analysed for their impact risk on the Earth. To this end, the Asteroid Risk Mitigation Optimization and Research (ARMOR) tool is currently being developed. The tool’s modules are described and their validation is documented. Based on the asteroid ephemeris, the tool calculates the impact location probability distribution on the surface of the Earth (in the literature, occasionally referred to as risk corridor). NASA’s Near Earth Object (NEO) risk list served as the source for asteroid ephemerides. The Line of Variation (LOV) method was employed to find virtual impactors. While offering a simple and fast way of identifying virtual impactors, the method provides a low impactor identification rate. This is because the search space is tightly constricted to the LOV and thus excludes virtual impactors located elsewhere in the asteroid position uncertainty region. The method’s performance was evaluated and suggestions for improvements are provided. Application of the tool showed that the asteroid threat is global in nature: impact locations were distributed widely over the Earth’s surface. The global asteroid risk was estimated by combining the impact location probability distribution with Earth population data. The identification of high risk regions lead to a discussion about the dynamics of the risk associated with asteroids. The future response to an asteroid threat will depend on the risk that the asteroid poses to the population. The potential applicability of ARMOR as a decision-support tool for responding to the asteroid threat is outlined. The work is supported by the Marie Curie Initial Training Network Stardust, FP7-PEOPLE-2012-ITN, Grant Agreement 317185

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Published date: 29 September 2014
Venue - Dates: International Astronautical Congress, Toronto, Canada, 2014-09-29 - 2014-10-03
Organisations: Astronautics Group

Identifiers

Local EPrints ID: 386014
URI: http://eprints.soton.ac.uk/id/eprint/386014
PURE UUID: bf30f3b7-991a-4738-9660-629ce09bf337

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Date deposited: 29 Jan 2016 16:34
Last modified: 14 Mar 2024 22:25

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Contributors

Author: Clemens Rumpf

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