The University of Southampton
University of Southampton Institutional Repository

Global impact distribution of asteroids and affected population

Global impact distribution of asteroids and affected population
Global impact distribution of asteroids and affected population
Which nations should be concerned about asteroid impacts? 261 impact corridors were calculated based on orbital data and impact probabilities of observed asteroids that could impact the Earth before 2100. The corridors, in the form of impact probability distributions were projected onto the Earth map. The cumulative impact probability distribution was combined with the Earth population producing a risk map to identify nations that should be concerned about the asteroid threat. The 40 nations that experience highest risk were identified. Results show that population size correlates strongly with impact risk and highlight the dilemma of small developing nations: they experience a disproportionally high risk relative to population but do not have the resources to mitigate the threat. The results emphasize the need for international cooperation to address the asteroid threat. Developed nations need to take the lead on asteroid discovery and mitigation on behalf of the rest of the world.
NEO, impact, risk, asteroid, PHA, population
Rumpf, Clemens
39d27fd9-b5f8-405c-9c16-abf847ce2869
Lewis, Hugh G.
e9048cd8-c188-49cb-8e2a-45f6b316336a
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Rumpf, Clemens
39d27fd9-b5f8-405c-9c16-abf847ce2869
Lewis, Hugh G.
e9048cd8-c188-49cb-8e2a-45f6b316336a
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b

Rumpf, Clemens, Lewis, Hugh G. and Atkinson, Peter M. (2015) Global impact distribution of asteroids and affected population. 2015 IAA Planetary Defense Conference, Frascati, Italy. 13 - 17 Apr 2015. 9 pp .

Record type: Conference or Workshop Item (Other)

Abstract

Which nations should be concerned about asteroid impacts? 261 impact corridors were calculated based on orbital data and impact probabilities of observed asteroids that could impact the Earth before 2100. The corridors, in the form of impact probability distributions were projected onto the Earth map. The cumulative impact probability distribution was combined with the Earth population producing a risk map to identify nations that should be concerned about the asteroid threat. The 40 nations that experience highest risk were identified. Results show that population size correlates strongly with impact risk and highlight the dilemma of small developing nations: they experience a disproportionally high risk relative to population but do not have the resources to mitigate the threat. The results emphasize the need for international cooperation to address the asteroid threat. Developed nations need to take the lead on asteroid discovery and mitigation on behalf of the rest of the world.

Text
IAA-PDC-15-P-84 Rumpf - Global Impact Distribution (paper).pdf - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 10 March 2015
Published date: 13 April 2015
Venue - Dates: 2015 IAA Planetary Defense Conference, Frascati, Italy, 2015-04-13 - 2015-04-17
Keywords: NEO, impact, risk, asteroid, PHA, population
Organisations: Geography & Environment, Astronautics Group

Identifiers

Local EPrints ID: 377825
URI: http://eprints.soton.ac.uk/id/eprint/377825
PURE UUID: 22343238-bb2e-432d-b796-258550fe0632
ORCID for Hugh G. Lewis: ORCID iD orcid.org/0000-0002-3946-8757
ORCID for Peter M. Atkinson: ORCID iD orcid.org/0000-0002-5489-6880

Catalogue record

Date deposited: 11 Jun 2015 10:21
Last modified: 15 Mar 2024 02:54

Export record

Contributors

Author: Clemens Rumpf
Author: Hugh G. Lewis ORCID iD
Author: Peter M. Atkinson ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×