Identifying the 50 statistically-most-concerning derelict objects in LEO
McKnight, Darren1; Witner, Rachel1; Letizia, Francesca2; Lemmens, Stijn2; Anselmo, Luciano3; Pardini, Carmen3; Rossi, Alessandro4; Kunstadter, Chris5; Kawamoto, Satomi6; Aslanov, Vladimir7; Perez, Juan-Carlos Dolado8; Ruch, Vincent8; Lewis, Hugh9; Nicolls, Mike10; Jing, Liu11; Dan, Shen11; Wang Dongfang11; Baranov, Andrey12; Grishko, Dmitriy13
AbstractThis paper describes a process for identifying the intact objects in orbit that (a) pose the greatest debrisgenerating potential risk to operational satellites or (b) would reduce the risk the most if they were removed or prevented from colliding with each other (i.e., remediated). To accomplish this, a number of diverse, international space organizations were solicited to contribute their lists of the 50 statistically-most-concerning objects. The results of the multiple algorithms are compared, a composite ranked list is provided, and the significance of the consolidated list is presented including critical assumptions and key factors in determining this "hit list." It is found that the four primary factors used in these processes are mass, encounter rates, orbital lifetime, and proximity to operational satellites. This cooperative international assessment provides a useful ranking of the most hazardous massive derelicts in low Earth orbit as a prioritized list for remediation to (1) enhance space safety and (2) assure long-term space sustainability. This will hopefully catalyze international action in debris remediation.
KeywordDebris remediation Active debris removal Space safety Space sustainability
WOS Research AreaEngineering
WOS SubjectEngineering, Aerospace
WOS IDWOS:000666589400021
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Document Type期刊论文
Corresponding AuthorMcKnight, Darren
Affiliation1.Centauri, 15020 Conf Ctr Dr, Chantilly, VA 20151 USA
2.European Space Agcy, Robert Bosch Str 5, D-64293 Darmstadt, Germany
3.ISTI CNR, Via G Moruzzi 1, I-56124 Pisa, Italy
4.IFAC CNR, Via Madonna Piano 10, I-50019 Sesto Fiorentino, Italy
5.AXA XL, 200 Liberty St,25th Floor, New York, NY 10281 USA
6.Japan Aerosp Explorat Agcy JAXA, 7-44-1 Jindaiji Higashi Machi, Chofu, Tokyo 1828522, Japan
7.Samara Univ, Moskovskoye Shosse 34, Samara 443086, Russia
8.CNES, 18 Ave Edouard Belin, F-31401 Toulouse, France
9.Univ Southampton, Southampton SO16 7QF, Hants, England
10.LeoLabs Inc, POB 998, Menlo Pk, CA 94026 USA
11.Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing, Peoples R China
12.Russian Acad Sci RAS, Keldysh Inst Appl Math KIAM, 4 Miusskaya Sqr, Moscow 125047, Russia
13.Bauman Moscow State Tech Univ, 2 Nd Baumanskaya,5, Moscow 105005, Russia
Recommended Citation
GB/T 7714
McKnight, Darren,Witner, Rachel,Letizia, Francesca,et al. Identifying the 50 statistically-most-concerning derelict objects in LEO[J]. ACTA ASTRONAUTICA,2021,181:282-291.
APA McKnight, Darren.,Witner, Rachel.,Letizia, Francesca.,Lemmens, Stijn.,Anselmo, Luciano.,...&Grishko, Dmitriy.(2021).Identifying the 50 statistically-most-concerning derelict objects in LEO.ACTA ASTRONAUTICA,181,282-291.
MLA McKnight, Darren,et al."Identifying the 50 statistically-most-concerning derelict objects in LEO".ACTA ASTRONAUTICA 181(2021):282-291.
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